Program Details
Location
Limerick,
Ireland
Term
Summer Session
Housing
Apartment
Languages Taught In
English
Program Eligibility
Student Type
UofM Students
Student Year
Sophomores
Juniors
Seniors
GPA
No Requirement
About
Limerick is the 3rd largest city in Ireland and boasts a rich history complete with a Norman castle, Georgian buildings, and an active music and performing arts scene. Sporting enthusiasts can participate in or attend games for a wide range of sports and Gaelic games, including hurling, football, and rugby.
You will study at the University of Limerick, located 5 kilometers outside of town and spanning two banks of the River Shannon. The University is one of Ireland’s most beautiful campuses, with innovative academics, state-of-the-art sports facilities, and vibrant campus life. Known as a technological powerhouse in Ireland, the University of Limerick works closely with the nearby National Technology Park of Ireland.
Spend your summer participating in an ongoing research project with University of Limerick faculty and graduate students, learning about research methodology, and exploring Irish history and culture through a number of program excursions. Links to the lists of available research projects located on the "Academics" tab.
Program Model
Housing & Meals
Live in student housing at the University of Limerick. You typically live in single rooms in an apartment-style on-campus student residence. Includes a meal plan of three meals per day, Monday–Friday. No meals provided on Saturday nor Sunday.
Excursions
Excursions are being planned for a long weekend in Dublin and an excursion to the Cliffs of Moher, as well as several research-specific excursions to sites in Limerick associated with the University of Limerick.
Flight
You are responsible for booking your own flight. Specific arrival instructions will be sent out prior to your departure.
For immigration purposes, you should purchase a round-trip ticket, since you must be able to show your entry and exit dates from Ireland.
Learning Outcomes
This course meets 5 of the University of Minnesota's seven Student Learning Outcomes by helping you to:
- Identify, define, and solve problems by choosing a topic from a list of ongoing research topics at the University of Limerick
- Work 1:1 or in a small research team managed by a professor or graduate researcher at the University of Limerick
- Locate and critically evaluate information by conducting primary and secondary research
- Communicate effectively by the writing and public presentation of ideas
- Acquire skills for effective citizenship and life-long learning by learning how to define and complete a short-term research goal in the context of a large-scale, long-term project
- Consider practical and ethical issues around the conducting of research in a foreign country
- Engage positively with and reflect upon the culture and values of a foreign country
Faculty & Staff
The courses on this program will be co-taught by UofM Assistant Professor, Evan Roberts, and staff & faculty at the University of Limerick. Discipline specific mentors will also work closely with you throughout the program.
Program Structure
Courseload
You will receive 8 UofM Honors credits for this course.
This program has two components: a 2-week research seminar with Professor Roberts, which will run concurrently at the beginning of the 8 weeks of research in Limerick, from May 28–July 26, 2025.
This 8-credit program will consist of three honors courses including HSEM 3232H: Research Methodologies (1 cr), HCOL 3934: Honors Research (6 cr), and FOST 3331H: Global Identity (1 cr).
STEM Research Projects
| Title | Supervisor | Research Field of the Research Project | Background | Scientific Hypothesis Being Tested | Background that You Need to Have | Analytical Techniques to be Employed |
|---|---|---|---|---|---|---|
| Macrophage phenotyping in a 3D spheroid model of endometriosis | Dr Jason Bennett (Associate Prof in Molecular Pharmacology) | Endometriosis, immunology, macrophage dysfunction, 3D culture models | Endometriosis (EDS) is a debilitating, chronic, inflammatory, estrogen-dependent gynaecological condition characterised by the presence of endometrial tissue-like lesions outside the uterus (often attached to the peritoneal wall or ovaries). Commonly associated with symptoms of chronic pelvic pain and infertility, EDS drastically impacts quality of life and imposes significant economic burden ($22 billion a year in the US [Al-Lami et al. 2024]) due to annual healthcare costs and productivity losses. Immunological dysfunction is proposed to be a critical facilitator of endometriotic lesion growth. Hence, there is a pressing need to explore the cellular and immunological factors that underly this dysfunctional state and facilitate survival, invasion and vascularization in endometriotic lesions. A 3D-multicellular spheroid model containing human endometriotic epithelial (12Z cells), stromal cells (HESCs) and primary macrophages will be generated. RNA-sequencing of magnetic bead sorted macrophages will determine the activation state of macrophages in our 3D endometriosis spheroid model. | What is the activation state of macrophages when in direct culture with endometriotic cells? Are macrophages M2-like or M1-like in terms of phenotype in our spheroids? How does this mimic the in vivo EDS immune microenvironment? | Students should have a sound background in Cell Biology, Immunology or other Life Sciences with a particular interest in inflammation-driven conditions. Practical experience in cell culture techniques is preferred but not necessary, as full training will be provided. | 3D cell culture models, magnetic bead cell sorting, flow cytometry, RNA-seq |
| The Conversion of Plastic Waste into Electrically Conductive Carbons for use in Lithium–Sulfur Batteries | Dr. David McNulty | Batteries, Energy Storage, Sustainability, Plastic Waste | Europe generates over 25 million tonnes of plastic waste annually, with less than 30% recycled; the rest is incinerated or landfilled, exacerbating climate change. The traditional “take, make, waste” economy is unsustainable, and alternative waste-management solutions are crucial. Carbon recovery from plastics via thermal treatment under anoxic conditions can exceed 50%, significantly reducing CO2 emissions compared to incineration. This project aims to develop scalable methods to convert plastic waste into porous carbon materials (PCMs) for use as sulfur-hosting electrodes in lithium-sulfur (Li-S) batteries. The most commonly used consumer plastics such as low-density polyethylene (LDPE) and polyethylene terephthalate (PET) will be converted into carbon powders and processed into battery electrodes. The charge storage mechanism will be studied through operando X-ray diffraction and Raman spectroscopy. Findings will guide the design of PCMs with optimized structures, enhancing Li-S battery performance. This approach tackles both plastic waste management and energy storage challenges. | State of the Art Research in the Field: Conversion of Waste Plastic to Useful Carbons. The carbon content for plastic materials can be ~86%, therefore there is a high incentive to produce value added carbons from waste plastics. Initial reports have demonstrated that various catalytic and thermal methods of preparation can be successful. However, further research is required to investigate the numerous parameters, which influence quality and yield. A recent review paper concluded that carbonization is a feasible route for the reutilization of waste plastic, in terms of its environmental impact. Combustion methods in air result in significant amounts of CO2 being released to the atmosphere (~3 tonnes of CO2 per tonne of PE plastic). The C recovery, for carbonization methods under anoxic conditions (without oxygen), is >50% meaning that at least half of the C contained in plastics can be recovered. Consequently, far less CO2 would be released, compared to presently used incineration methods. Lithium–Sulfur Batteries. Li–S batteries are one of the most promising “beyond Li-ion” energy storage systems. However, many issues need to be addressed before widespread commercialization can be possible, including: (i) The low electronic conductivity of sulfur (S) and lithium sulfide (Li2S). (ii) The large volume changes (80%) which occur during cycling. (iii) The polysulfide shuttle effect. High-order lithium polysulfides (LPS) (Li2Sx (6 < x ≤ 8)), which are formed during Li–S battery operation, are highly soluble in the electrolyte. High-order LPS can migrate toward the anode, react with Li metal, reduce to lower-order LPS, and then migrate back to the cathode to form high-order LPS again, and so on, leading to a so-called polysulfide shuttle effect and resulting in low Coulombic efficiencies. To mitigate these issues, PCMs with sufficiently small pore sizes (≤ 1 nm) will be targeted to confine the soluble high-order LPS and mitigate polysulfide shuttling issues. The other advantages of using S-infilled PCMs will include: (a) enhancing the conductivity of sulfur and (b) providing high specific surface areas, which offer more electrochemical sites for increased S utilization. Charge Storage Mechanism. The charge storage mechanism for Li–S batteries containing carbons derived from waste plastics will be determined through a correlation of results from electrochemical testing and advanced structural characterisation. | Materials Science, Physics, or Chemistry Some experience with material synthesis is desirable but not crucial | X-ray diffraction, Raman Spectroscopy, Electron Microscopy Cyclic Voltammetry, Galvanostatic Cycling |
| ALTER: Developing Interpretable machine learning models for predicting demands on emergency department resources for Hip Fracture Patients | Dr. Meghana Kshirsagar | Data Science, Machine Learning, Predictive Analytics, Agent Based Modelling, Digital Twins | The demands for healthcare services, by aging populations, is placing significant strain on European systems. In Ireland, national guidelines mandate that hip fracture patients admitted to emergency departments be transferred to orthopaedics wards within four hours for optimal outcomes. The Irish Hip Fracture Database indicates that fewer than 25% of patients follow this pathway. To address this, interpretable machine learning models such as logistic regression, random forest etc. will be developed to predict patient length of stay, useful for better resource management of key resources such as beds, staff, and financial costs for running hip fracture events. This approach facilitates in advanced forecasting of resource demands for hip fracture events, enabling timely treatment. The proposed research will conduct exploratory data analysis to create a dashboard of hip fracture incidence in Ireland, highlighting population demographics, emergency department arrivals, and seasonal peaks.. This can lead ultimately to improving patient outcomes. | Impact of resource demands on emergency department of an increasing elderly population afflicted with hip fractures | Python programming for Data Science and Machine learning such as pandas, numpy, sci-kit learn, matplotlib, | Exploratory data analysis, visualization, feature engineering, supervised learning |
| Design and development of resin 3D printed microfluidic array devices | Associate Professor Eoin Hinchy (Primary) Dr Clarinda Sequeira (co-supervisor) | 3D Printing, 3D Modelling, Microfluidics, Additive Manufacturing | Microfluidic array devices have revolutionised fields such as biomedical research, diagnostics, and chemical analysis by enabling precise control and manipulation of small fluid volumes. The design and development of these devices using 3D printing technology offer significant advantages, including rapid prototyping and customisation. This project aims to explore innovative approaches to creating microfluidic arrays through advanced 3D printing techniques at the Bernal Institute in the University of Limerick. By leveraging the precision and versatility of resin-based 3D Printing with a 18 um resolution, this project seeks to enhance the functionality and scalability of microfluidic devices, paving the way for new applications in personalised medicine, environmental monitoring, and beyond. | Can resin 3D Printing be used to manufacture complex microfluidics devices for production of lipid and polymeric nanoparticles for pharmaceutical applications? | Aerospace/Mechanical/Biomedical Engineering, Industrial and Systems Engineering, Materials Science and Engineering. Experience with 3D CAD modelling an advantage Experience with 3D Printing/additive manufacturing an advantage Training in 3D CAD Modelling (Solidworks) and Resin 3D Printing will be provided for the successful candidate | 3D CAD Modelling (Solidworks) Resin 3D Printing (pre and post processing) Device Testing (microfluidic pumping) |
| MXenes: Unlocking the potential of this exciting 2D wonder nano-material for high-performance energy storage solutions | Associate Professor Tadhg Kennedy | Nanomaterial synthesis, Energy Storage, Battery, Materials Chemistry | MXenes are a remarkable family of 2D materials that have the potential to revolutionise the field of energy storage, particularly in the development of high energy density Li-sulphur batteries (LSB). With their exceptional properties, including high conductivity, mechanical strength, hydrophilicity, versatile morphology and abundant surface functionality, their application in LSBs can address several critical challenges associated with this technology including overcoming the shuttle effect through chemical and physical confinement of polysulfides, and negating the insulating effects of sulphur due to their excellent conductivity. While MXenes are indeed a family of materials with exceptional properties, a major challenge needs to be addressed before they can be effectively applied commercially. The production of MXenes often requires the use of harsh chemicals, such as hydrofluoric acid, which poses safety concerns and environmental risks. This project will overcome this issue through the development of a sustainable, solvent-free solid-state synthetic approach to MXene production, unlocking their full potential through tailoring of their properties for high-energy density LSB applications. | Can tailored 2D nanostructured MXenes be synthesised using a sustainable, solvent-free approach. | Chemistry or Physics or Materials Science | Scanning electron microscopy, transmission electron microscopy, X-ray diffraction, Raman spectroscopy, electrochemical characterisation techniques (e.g. constant current charge/discharge cycling) |
| Transcriptomic profiling of breast cancer cells' response to a new cutting-edge epigenetic anti-cancer drug. | Dr James Brown | Breast, Cancer, transcriptomic, mRNA, therapeutic, drugs, epigenetic | Cancer cell profiling helps identify specific molecular features and vulnerabilities in tumours. By studying how breast cancer cells respond to new drugs, researchers can discover biomarkers that indicate how well a treatment will work or identify tumours that are more likely to be sensitive to these drugs, ultimately improving the chances of treatment success. Transcriptomics (measuring RNA transcripts) is a powerful tool for evaluating the effects of new drugs on gene expression in cells. Next-generation sequencing (NGS) enables us to sequence and quantify the mRNA transcripts of thousands of genes simultaneously, providing a comprehensive snapshot of gene expression patterns in response to drug treatment. Using NGS transcriptomics we will explore gene expression in breast cancer cells treated with a new anti-cancer epigenetic drug, developed in Dr Browns group. This profiling reveals how the drug kills breast cancer cells, an helps identify patients where this drug will be most effective. | The anti-cancer epigenetic drug (TH1834) disrupts novel pathways essential for breast cancer survival. | Molecular biology, cellular signalling, | Next generation sequencing, data analysis, |
| Examining the use of AI and machine learning in the arts | Dr. Mark Marshall | Interaction Design, Human-Computer Interaction, AI, Machine Learning, Arts | The development of generative AI systems has led to an increase in the use of such tools within the arts. Currently there is much discussion about the use of such tools and whether machine-created art is really art. This project will look at the current state of the art in generative AI, its use in the creation of artworks and the potential for it as a tool to augment artists rather than directly replace them. The project will involve user research with artists on the use of AI in art, as well as evaluation of existing generative AI tools with artists. | Generative AI tools can be a useful form of hybrid human-AI in the arts | Suitable for students in computer science, product design, interaction design, psychology Useful if students have knowledge of generative AI tools Useful if some experience of user research An interest in the creative arts would be beneficial | Literature review of state of the art User research (surveys, interviews, etc.) Thematic analysis Usability evaluation + statistical analysis |
| Development of an Ex Vivo Concussion Model | John Mulvihill | Biomedical Engineering, Sports Biomechanics, | Concussion is the most common form of mild traumatic brain injury and can cause long-lasting effects. Although the exact mechanisms are unknown, concussion is recognized as a subset of neurological injuries involving complex pathophysiological processes. There are many different causes of concussion, and not all of them involve direct impact. Non-impact situations, such as whiplash—one of the most common injuries following a car crash—can also cause concussions. Developing more accurate models of concussive injuries will help researchers identify key markers post-injury, improving diagnostic processes and prevention methods. This project aims to develop a mechanical concussion rig to apply a non-impact rotational acceleration injury to a model skull, accurately mimicking concussion-inducing scenarios. It will explore current methods for studying concussions and address the limitations of previous iterations of this model developed at UL. | Alterations to the UL model will be designed and developed through the lens of biomechanical principles. The design can involve improvements aimed to improve the realism of the concussion rig as well as to increase the number of variables that can be tested (e.g., head gear, musculature changes). Testing will be performed to determine whether the implemented design changes improve the biomechanical mimetics and repeatable results. | Necessary: Engineering, optional: design methods, biology, workshop | Accelerometer and velocity measurements (rotational and linear), solidworks/CAD drawings, Excel or statistical software |
| Eco-Friendly Cold-Sintered Piezoelectric Resonators on Biodegradable Substrates | Dr Ehtsham-Ul Haq | Piezoelectric, resonators, lead free ceramics, screen printing, ecofriendly electronics | Eco-friendly, biodegradable electronics are crucial for reducing harmful electronic waste. However, the reliance on lead-based Pb(Zr,Ti)O3 (PZT) ferroelectric materials for transducers and actuators presents a significant challenge. Promising lead-free, eco-friendly alternatives include K0.5Na0.5NbO3 (KNN), (Na,Bi)TiO3/BaTiO3 (NBT/BT) composites, and (Ba,Ca)(Ti,Zr)O3 (BCTZ). This project aims to develop fully solution-processed, biodegradable piezoelectrics, employing a screen-printing approach to create piezoelectric devices at low temperatures, and enabling their integration with eco-friendly substrates and electrodes. This approach involves using a printable ink to screen print potassium niobate (KNbO3) piezoelectric layers and sintering at low temperatures. The films will be poled, parallel plate capacitor and beam resonator will be designed from free-standing films and films on flexible biodegradable substrates to evaluate their dielectric and piezoelectric properties using impedance analysis and the berlin court method. | (i) Can screen printed structures possess piezoelectric properties (ii) How piezoelectric and ferroelectric properties vary with low temperature sintering (120°C-350°C) | crystal structure, Drude free electron model and quantum mechanical free electron theories, dielectric properties of materials | Impedance analysis, piezoelectric d33 measurements |
| Circular Economy and Product Lifetime Extension of Ebikes | Associate Professor Yvonne Ryan | Environmental Science, Engineering, Product Design, Sustainability, Mobility, Transport, Electronics and the Environment, Critical Raw Materials, Ewaste. | Novel products such as ebikes often include features that are innovative and manufacturer specific. Sometimes products can only be repaired by the original manufacturer. To realise a circular economy and break patterns of material consumption and reliance on hazardous and critical raw materials it is essential that products are durable and repairable. The European Research Council published repairability guidelines and indexes for many products. The Right to Repair movement captured the imagination of ebike enthusiasts. The degree to which standardization and repairability indexes should be available to consumers is currently under debate globally. Additionally, battery failure in ebikes often causes the product lifetime of a bike to end prematurely. Therefore, repairability and replaceability of ebike batteries is a key environmental action, reducing a product’s overall environmental impact. This project examines use profile and battery degradation over time, ease of replacement of batteries in ebikes and elongation of ebike product lifetimes. Using the ISCycle fleet on the University of Limerick campus the student will apply the central approaches of repairability indices on the fleet of ebikes. | Circular economy and product lifetime extension Critical raw material conservation Access to repair and right to repair as climate actions | The student needs to have an appreciation of sustainability principles, circular economy and industrial ecology perspectives. The student needs to be able to apply techniques employed by the European Research Centre and UNITAR in terms of mapping product lifetimes | Mathematical modelling of battery degradation, product lifetime models. |
| Low-Code No-Code Software Development Education | Prof. Tiziana Margaria, Mr. Sean O’ Brien | Computer Science, Education | The R@ISE (Research at Immersive Software Engineering) Project will develop the next-generation platform for Low-Code No-Code (LC/NC) software development. LC/NC democratises software development by empowering individuals, groups, and organisations without expert knowledge in the software development or programming to create applications that suit their needs. Education and training will represent a key component of the LC/NC platform to ensure that all stakeholders can reap the benefits of the LC/NC approach in their own contexts. This project will primarily involve research into the needs of key stakeholders and their current levels of familiarity with software development to create tailored training curricula. Students will work with the supervisory team, R@ISE researchers, partner organisations, and other stakeholder groups to identify knowledge gaps and construct engaging and accessible education and training resources and curricula to enable stakeholders to engage effectively with the LC/NC platform that is being developed by the R@ISE project. | N/A | Computer Science, Education, Data Analysis | N/A |
| Data Analysis of Historical Records | Prof. Tiziana Margaria | Computer Science, Data Science | This project will involve the development and testing of software applications that can be used to analyse and extract information from historical records. Students will build on technologies already developed for the analysis of historical mortality records and will work together with the supervisor and research team to enhance the techniques and apply them to other types of historical records. While rooted in Computer Science and Data Science, the project is interdisciplinary exposing students to a number of different fields and faculties. | N/A | Computer Science, Data Science | N/A |
| Low-Code No-Code Software Development | Prof. Tiziana Margaria | Computer Science | Low-Code No-Code (LC/NC) development platforms can revolutionise the delivery of custom-made applications from website and app building to workflow automation for many businesses. LC is a way for software developers with limited coding or technical skills to design, build and provide building blocks for domain-specific applications quickly and with minimum hand-coding. NC is a way to help those who may not know how to programme, but want to develop an application for their specific use case, to do so using those pre-existing building blocks. This project will involve the creation of “building blocks” using existing code which will contribute to the development of a LC/NC platform for use by industry, government, and wider society. | N/A | Computer Science, Programming Languages (Java, Python etc.), Object Oriented Programming | N/A |
| Evaluation of non-nutritive sweeteners (NNS) quorum sensing effects using in vitro and in silico models | Dr. Fabiana Andrea Hoffmann Sarda | Microbiome, Quorum sensing, Molecular docking, Sweeteners, Microbiology | A wide variety of bacteria use the microbial communication system called quorum sensing (QS), which allows them to modify their behaviour collectively in response to changes in cell density. This communication is mediated by small molecules accumulated during microbial multiplication and involves the production, secretion, and detection of extracellular signalling molecules, known as autoinducers. The communication mediated by QS can be interrupted in several ways: by inhibiting the autoinducer synthesis, through enzymatic degradation of autoinducers, or by competition for binding to receptor proteins, ultimately inhibiting the target gene expression, mediated by interfering molecules called quorum sensing inhibitors (QSI) This study aims to evaluate the ability of some artificial and natural non-nutritive sweeteners (NNS) to inhibit QS and its possible implications for the gut microbiome. | 1. Non-nutritive sweeteners (NNS) can modify bacterial Quorum sensing (QS) communication models 2. Molecular docking can be used to predict QS effects of NNS | Basic practical microbiology knowledge | Bioinformatics – using Auto dock Vina for molecular docking analysis Microbiology analysis – testing sweeteners effects on bacterial microbiology Quorum sensing (QS) assays Molecular biology - qPCR assays to evaluate bacterial growth x QS inhibition |
| WK1: Nutrient transfer and energy requirements during hydrothermal carbonization of biowaste/biomass under different process conditions in a batch reactor | Prof. Witold Kwapinski | thermochemical conversion processes | Hydrothermal carbonization (HTC) is a wet thermochemical method used to enhance the dewaterability of various feedstocks, such as biowaste, and to concentrate plant nutrients. In this process, the feedstock is heated in a sealed reactor, resulting in the formation of three distinct fractions: solid residue, liquid rich in organics, and gas. Since HTC requires an external heat source, it is essential to evaluate the energy demands dictated by process conditions such as temperature, residence time, reactor load, and stirring. Additionally, the forms and distribution of nutrients in the resulting products must be assessed. Specifically, nitrogen fractions in the products will be analyzed, including total nitrogen (N), total organic nitrogen, total inorganic nitrogen, Total Kjeldahl Nitrogen (TKN) and elemental analysis. | HTC technique is energy efficient technique for nitrates and ammonia recovery in HTC-liquid | completed 1st year science or engineering courses | Elemental analyser, Kjeldahl Nitrogen analyses, inductively coupled plasma (ICP) atomic emission for identification and quantification of any heavy metal contaminants |
| WK2: Energy properties of the products of hydrothermal carbonisation of digested sludge from wastewater treatment plant | Prof. Witold Kwapinski | thermochemical conversion processes | The main objective of this research topic will be to determine the energy potential of solid (hydrochars) and liquid (liquors) products of hydrothermal carbonization (HTC) obtained in high-pressure chemical reactors in a variable pH environment. For this purpose, doses of a commercial acid catalyst will be selected for digested sludge, with a constant initial moisture content, under established reactor operating conditions: temperature and residence time. In addition to conducting HTC experiments, during the training the student will learn to perform the proximate and ultimate analyses of solid residue and liquid after HTC as well as determining a higher heating value by calorimetric technique, biomethane potential test and operation and analysis by gas-liquid chromatograph. | HTC technique should be implemented to every waste water treatment plant | completed 1st year science or engineering courses | gas-liquid chromatograph, biomethane potential test analyses, calorimetric bomb, Elemental analyser |
| WK3: Leaching minerals from hydrochar | Prof. Witold Kwapinski | thermochemical conversion processes | Leaching minerals from hydrochar is an important process in the context of biomass conversion and sustainable energy production. Hydrochar is a solid product obtained from the hydrothermal carbonization (HTC) of biomass, which can be utilized for various applications, including as a soil amendment. Hydrochar typically contains a variety of minerals, including potassium (K), phosphorus (P), calcium (Ca), magnesium (Mg), and trace elements such as iron (Fe) and manganese (Mn). The mineral content can vary significantly depending on the type of biomass used and the conditions under which hydrochar is produced. Leaching refers to the process by which soluble substances are washed out from a solid material. Leaching can release essential nutrients into the soil, making them available for plant uptake. This can enhance soil fertility and support plant growth. However, excessive leaching may lead to a loss of beneficial minerals, reducing the effectiveness of hydrochar as a fertilizer. | Leaching from hydrochar can be control by adding biochar during soil amendment | completed 1st year science or engineering courses | Elemental analyser |
| WK4: Design and synthesis of nanophotocatalysts for degradation of pharmaceutical waste | Prof. Witold Kwapinski | photo-catalysis, metal organic framework | Tetracyclines are one of the most prescribed families of antibiotics used in medical, agricultural, and poultry sectors. However, they are poorly absorbed by the body (20-50%), leading to their release into wastewater through urine and feces. Zr-based metal organic framework UiO-66 has been studied for the adsorption and photocatalytic degradation of tetracycline and has been shown to be an excellent adsorbent and catalyst for the reaction. In addition, the use of modulators helps engineer its porosity and structure to enhance photocatalytic activity. However, unmodulated UiO-66 does not demonstrate very high absorption in the visible region. This study aims to study the effect of varying modulators and MOD/Zr ratios on the photocatalytic degradation of tetracycline. Unmodulated UiO-66 and modulated UiO-66 (with two ratios of seven modulators) will be prepared and characterized. Each of the 15 catalysts will be tested for adsorption and photocatalytic degradation of tetracycline under direct sunlight. An optimal catalyst will be chosen, and the pH, catalyst, and tetracycline will be varied using RSM-designed experiments to determine the optimal reaction parameters. Radical inhibitors will also be introduced into the reaction medium under optimal conditions to determine the active radicals in the degradation. Finally, modulated UiO-66 will be collected and tested for re-usability. | The photo-catalyst UiO-66 can be designed to works in visible lights conditions | completed 1st year science or engineering courses | XRD, SEM-EDX, Elemental analyser, inductively coupled plasma (ICP) atomic emission, Minitab software |
| Assessing the feasibility of 3D printed microfluidics chips through optimisation of materials and structure | Eoin White | Design, engineering, CAD, rapid prototyping, microfluidics | The aim of this study is to design, 3D print, and assess microfluidic chip efficacy through optimisation of the microstructure of the chip, material use, and orientation of the chip on the print bed. Microfluidics chips play a pivotal role in various scientific and medical applications, facilitating precise manipulation of tiny fluid volumes for tasks such as diagnostics, drug testing, and biotechnology research. This research is built on current work whereby chip moulds are printed and the chip cast. By leveraging 3D printing's precision and adaptability while incorporating biocompatible materials, the results of this study can enhance low-volume chip production while ensuring compatibility with biological systems. By merging these advancements, the research could deliver superior, cost-effective, and customisable microfluidics chips, with profound implications for healthcare, biotechnology, and scientific research. | y optimising the microstructure, material composition, and orientation of 3Dprinted microfluidic chips, we hypothesise that the resulting chips will exhibit improved fluid flow characteristics, enhanced biocompatibility, and increased functionality in comparison to traditionally manufactured microfluidic chips. This enhanced design will lead to superior performance in a variety of scientific and medical applications, ultimately enabling more precise and costeffective manipulation of tiny fluid volumes for diagnostics, drug testing, and biotechnology research. | Design research skills (literature review, communication skills, sketching) Engineering skills – CAD skills (SolidWorks), 3D printing experience, CNC machining experience Design validation skills – develop and implement a testing protocol to assess concept efficacy | Concept development, prototyping, and assessment against current solutions – A/B testing, prototyping testing, usability testing, and heuristic evaluation |
| Improving disease diagnosis through the development of a machine learning pipeline that can perform automated image analysis of biological tissue. | Dr Eoghan Cunnane, Associate Professor in Biomedical Engineering | Machine learning, image processing, automated analysis, disease diagnosis, biological tissue, histology | Fast and accurate diagnosis is paramount to effectively treating illness. One of the most prevalent modes of diagnosis is based on obtaining a biopsy followed by histopathological staining of the tissue to screen for disease based on tissue composition and morphology. Histopathological assessment depends strongly on the individual judgment of trained specialists, with variations between individuals and laboratories frequently reported. (10.1634/theoncologist.11-8-868). Automated methods of histopathological assessment are therefore required to reduce interpretation variability and bias, thereby improving the speed and accuracy of disease diagnosis. However, automated analysis of histopathological images is complicated by high degrees of variability across patients and protocols, necessitating the use of machine learning methods that can be trained to identify key metrics within complex sets of images. This project will develop machine learning methods to automatically analyse a cohort of histopathological images obtained from patient biological samples. | Is it possible to develop a machine learning pipeline that can be employed to analyse the quantity and distribution of biological components within images of human tissue for the purposes of disease diagnosis? | It would be helpful, but not necessary for the student to have a background in image processing and/or machine learning. The student will have the opportunity to develop lab-based skills in histological staining of biological tissue and computer-based skills in machine learning and image analysis. | Histological staining of biological tissue to highlight different cell and extracellular matrix components. Analysis of histological images to quantify the amount and distribution of different components within the tissue. Development of machine learning programmes to automate the quantification process so that it can be applied to large sets of images. Powerful PCs are available through remote access to ensure that adequate computing power is in place. |
| RAG chatbot for Handbook of Academic Regulations and Procedures | Arash Joorabchi | Computer Science, AI, Machine Learning, Natural Language Processing | While taking blood pressure, with the use of manual aneroid sphygmomanometer, the nurse (or a healthcare practitioner) needs to keep the diaphragm of the stethoscope directly over the brachial artery (please see picture below, from Elsevier Clinical Skills, Blood Pressure Retrieval Augmented Generation (RAG) is a popular method for enabling Large Language Models (LLMs) to utilize external knowledge sources to improve their responses to user queries in a specific domain. The aim of this project is two-fold: (A) Familiarize the student with RAG and its benefits and limitations. (B) Enable the student to put his acquired knowledge of LLMs and RAG into practice by developing a RAG-based chatbot. The students is expected to design, develop, and deploy a RAG chatbot for the Handbook of Academic Regulations and Procedures at the University of Limerick. As part of this work, the student is expected to develop a test dataset to formally evaluate and report the performance of their chatbot in terms of factual accuracy in response to user queries. | Application of RAG chatbots in educational settings. | Prior knowledge of Python programming is essential Prior knowledge of ML/NLP would be advantageous | |
| Eco-friendly Piezoelectric Robots | Sarh Guerin | Piezoelectricity, Robotics, Sustainable Materials, Crystallisation, Eco-Friendly Devices | In the field of materials science, dynamic molecular crystals have attracted significant attention as a novel class of energy-transducing materials. However, their development into becoming fully functional actuators remains somewhat limited. In this study the student will grow piezoelectric amino acid based crystalline materials and explore the efficiency of conversion of electrical energy to mechanical work. A simple setup will be designed to determine a set of performance indices of these eco-friendly crystals as a class of dynamic molecular crystals. The ability of these crystals to reversibly bend will be assessed from the perspective of soft robotics applications, where grippers manipulate and assemble microscopic objects driven and controlled by applied voltages. | Is it possible to build biomolecular crystal-based piezoelectric actuators for robotic movement? | Engineering or Physics | Crystal Growth, Piezoelectric Characterisation, Electrical Measurements, Circuit Building |
| Generating Electricity from Paracetamol | Sarah Guerin | Piezoelectricity, Pharmaceutical Materials, Energy Harvesting, Sustainable Materials, Crystallisation, Eco-Friendly Devices | Our research team works with organic crystals of amino acids, peptides, and proteins, to generate electricity. The popular painkiller paracetamol, also known as Acetaminophen, can be made to crystallise in the correct shape to demonstrate this phenomenon, but it needs to be combined with other molecules. In this project the student will grow multiple crystal films of paracetamol, crystallised with different solvents and coformer molecules. The films that have the highest piezoelectric response i.e. generate the highest voltage, will be integrated by the student into a large array and tested in real-world conditions for harvesting energy from pedestrian movement. | Can a functioning energy harvesting array be built using multi-component crystals of paracetamol? | Chemistry or Physics | Crystal Growth Crystal Engineering, Electrical Measurements, Thermal Measurements, Force Measurements, Circuit Building |
| Energy harvesting from biomolecular crystals | Sarah Guerin | Piezoelectricity, Pyroelectricity, Triboelectricity, Energy Harvesting, Sustainable Materials, Crystals, Eco-Friendly Devices | Our research team works with organic crystals of amino acids, peptides, and proteins, to generate electricity. Many of these crystals can generate electricity from multiple applied stimuli, such as force and heat. In this project the student will design a custom rig that can heat up or apply force to a sample while measuring its electrical output, as well as control and measure the force/heat energy applied. The student will get to test their setup on a wide variety of eco-friendly crystal-based devices for integration into our Citizen’s Assembly project to embed these devices around Ireland to generate useful energy and reduce reliance on fossil fuels. | Can a test set up be built to measure piezoelectricity, triboelectricity, and pyroelectricity concurrently? | Engineering or Physics | Electrical measurements, thermal measurements, force measurements, Optional Arduino/LabVIEW programming |
| Resonance properties of synthetic bone analogue | Prof. Tofail Syed | Biomaterials, Bioengineering and Biomedical Engineering, Bone graft substitute | Hydroxyapatite (HAp) possesses chemical resemblance to bone’s mineral content and unique properties such as biological activity and biocompatibility. Today, synthetic HAp is one of the most important materials used in hard tissue replacement applications as well as coating in cementless implants and bone graft substitute in orthopaedic and dental applications. It is however, required that apart from chemical resemblance, synthetic HAp has resemblance in other physical properties for e.g. physicochemical, dielectric and piezoelectric properties. Such a material would possess the ability similar to natural bone and collagen in responding to mechanical stress to adapt growth of bone that can speed up healing where and when required but can also recede growth if or when not needed. The chemical, physical and biological properties of hydroxyapatite can be changed and tailored by suitable doping with various ions. | This project focusses on the fundamental studies on resonance properties of doped hydroxyapatite, synthesized via solid state reaction. The synthesized powders will be processed in screen printed form followed by calcination and sintering. The calcined and sintered films will then be subjected to impedance analysis as a function of frequency to study resonance piezoelectricity and other dielectric properties. | Any engineering or physics or applied/engineering physics | X-ray Diffraction and impedance spectroscopy |
| Raman spectroscopy based Biomolecular Fingerprinting of cancer cells | Prof. Nanasaheb Thorat | Nanomaterials; Material Science; Cancer, Bioengineering and Biomedical Engineering | Brain Cancer is one of those few cancers with very high mortality and low five-year survival rate. First and foremost, reason for the woes is the difficulty in diagnosing and monitoring the progression of cancer tumors, noninvasively and in real time. This raises a need in this hour for a tool to diagnose the tumors in the earliest possible time frame. On the other hand, Raman spectroscopy which is well-known for its ability to precisely represent the molecular markers available in any sample given, including biological ones, with great sensitivity and specificity. This has led to a number of studies where Raman spectroscopy has been used in brain tumors in various ways. | This summer program will explore the fundamentals of Raman spectroscopy and its types including conventional Raman, SERS, SORS, SRS, CARS, etc. that are used in cancer for diagnostics, monitoring, and even theragnostics, collating all the major works in the area. Also, the student will introduced to nanomedicine and how Raman spectroscopy can be even more effectively used in cancer research and the clinical level which would make them a one-stop solution for all cancer needs in the future. Further characterizations such as transmission electron microscopy, uv-vis spectroscopy, will be carried out during the project. In this summer internship, the student will be introduced to about raman spectroscopy, SERS, nanotechnology and synthesis of naoparticles and characterization and additionally cancer cell cultures and bioassays techniques will be introduced to students. | Chemistry; Physics; Biochemistry; Nanotechnology; | Raman spectroscopy; HPLC, scanning and transmission electron microscope, chemical synthesis, UV-visible spectroscopy, fluorescence microscopy, 2D and 3D cell culture. |
| Examining the use of AI and machine learning in the arts | Dr. Mark Marshall | Interaction Design, Human-Computer Interaction, AI, Machine Learning, Arts | The development of generative AI systems has led to an increase in the use of such tools within the arts. Currently there is much discussion about the use of such tools and whether machine-created art is really art. This project will look at the current state of the art in generative AI, its use in the creation of artworks and the potential for it as a tool to augment artists rather than directly replace them. The project will involve user research with artists on the use of AI in art, as well as evaluation of existing generative AI tools with artists. | Generative AI tools can be a useful form of hybrid human-AI in the arts | Suitable for students in computer science, product design, interaction design, psychology Useful if students have knowledge of generative AI tools Useful if some experience of user research An interest in the creative arts would be beneficial | Literature review of state of the art User research (surveys, interviews, etc.) Thematic analysis Usability evaluation + statistical analysis |
| Multi-modal data modelling | Kevin Burke | neural networks; statistics; image data; text data | Classical data analysis involves data stored in a table, where each row represents an individual observation and each column is a numeric variable measured for that individual. While tabular data has been the focus of traditional statistical modelling for hundreds of years, in the modern world, we often encounter other data modes beyond tabular data, for example, free text, images, sound, video etc. However, machine learning methods (particularly deep learning) has been quite successful in handling multi-modal data. The aim of this project is to explore multi-modal machine learning models, assess the impact of considering the different data modalities, and compare with more traditional statistical methods. | The inclusion of multiple data modalities can improve model performance. | The student should have a quantitative background, for example, in statistics, data science, or computer science. Some background in neural networks or handling unstructured data (images or text) would be helpful but is not necessary (and it is unlikely that any student would have advanced knowledge of either of these areas). | regression models, neural networks |
| Mixed Effects Neural Network Modelling | Kevin Burke | hierarchical likelihood; mixed effects; neural networks; statistics | Neural networks pervade modern society, and are now making decisions in a wide range of scenarios. Despite this, they have not historically been developed from a statistical perspective. However, in the context of statistical modelling, it is well known that one should consider inherent dependence that arises due to clusters/hierarchies of related observations, e.g., data spatially located within regions/countries, patients’ responses to a medical treatment monitored longitudinally over time, or multiple/replicate measurements taken on the same specimen. In particular, ignoring these structures leads to misleadingly precise predictions and statistical “mixed models” account for this. Therefore, the aim of this project is to examine the deterioration in the performance of neural networks on clustered data, compare them to statistical mixed models, and develop an initial mixed effects neural networks procedure. | Standard neural networks fail to adequately capture the uncertainty in data that has natural hierarchies/clusters. | The student should have a quantitative background, for example, in statistics, data science, or computer science. Some background in either neural networks or statistical mixed models would be helpful but is not necessary (and it is unlikely that any student would have advanced knowledge of either of these areas). | Mixed models, neural networks |
Non-STEM Research Projects
| Discipline | Project Title | Supervisor | Project Overview (100–500 words) | Number of Students that Can be Allocated to this Project |
|---|---|---|---|---|
| Cell Biology, Biochemistry, Molecular Biology, Cancer, Biomedical Engineering | Investigating the interaction between adipocyte secreted factors and breast cancer therapy response | Dr Amira Mahdi, Cancer Therapeutics and Resistance Research Group, School of Medicine | Adipose tissue, which is a major constituent of breast tissue, secretes various bioactive molecules, including cytokines, hormones, and growth factors that can influence cancer progression. However, the specific interactions between adipocytes and breast cancer cells are not fully understood. The vast majority of in vitro cancer research is conducted with breast cancer cells in isolation, without taking into account the adipocyte-dominant tumour microenvironment. This project proposes an investigation into the molecular and cellular interactions between adipocytes and/or their secreted factors and breast cancer cells to better understand how the tumour microenvironment might contribute to breast cancer progression. Work will involve: analysing clinical data sets to establish links between breast cancer parameters and adipose associated metrics e.g. BMI, lipid, hormone levels. Wet lab experimentation to develop models of cancer cells and adipocyte secreted factors, then utilise models to test efficacy of novel hormonal therapies. | Max 2 |
| Psychology, criminology | Impact of parental incarceration | Daragh Bradshaw | Explore the impact of parental incarceration using two national context, Ireland and the US. Work will include identifying suitable variables in the Growingup in Ireland dataset and the Minnesota Student Survey. | 2 |
| Sports science | Designing an injury prevention warm up for elite swimmers | Frank Nugent | Swimming is a high volume sport where overuse injuries are common. Injury prevention warm ups have been found to decrease risk of injury. This project will involve designing an evidence based injury prevention warm up for national team swimmers based in the National Center Limerick | 1 |
| Sports science | Designing a pre-race warm up for elite swimmers | Frank Nugent | The margin between achieving a medal and not achieving a medal in international swimming is often less than a second. Recent evidence suggests that the physical and psychological effects of an effective pre-race warm up are critical to preparing a swimmer to perform at their best. This project will involve designing an evidence based pre-race warm up for national team swimmers in the National Center Limerick. | 1 |
| Sociology; health promotion | Evaluating the experiences of older males experiences of Men's Sheds | Steven Byrne | Ireland has an ageing population and many older adults in Ireland have low levels of physical activity and report loneliness and social isolation. Encouraging physical and social activity among older adults increases the overall quality of life, lowers all-cause mortality, and reduces the incidence and effects of numerous illnesses and disabilities. Despite the benefits of community based social programmes, older males do not often participate or are reluctant to join. Related to this, older men are also unlikely to seek professional help when they are struggling with physical or mental health concerns. To date, little is known about community-based initiatives that focus on the physical as well as social element of the health of older males. The overarching aim of this study is to qualitatively evalutate older males expereinces of Men's Sheds in the Mid-West region of Ireland. | 1 |
| Biostatistics, Health data science | An illustration of cholesterol's effect on the risk of coronary heart disease | Amirhossein Jalali | Various demographic and health-related risk factors are collected as part of the Western Collaborative Group Study. This project aims to analyse this prospective dataset to investigate the effect of cholesterol on the risk of coronary heart disease while adjusting for potential confounding variables such as socio-demographic, physiological and behavioural variables. For this reason, different statistical methods will be used to explain and formulate the relationship of interest, and the final results will be illustrated through interactive tools such as nomograms and shiny apps (see https://shiny.posit.co/r/gallery/). | 2 |
| Psychology | Perceptions of Group Compatibility: Validation of a Universal Measure to Assess Whether Groups Are in Harmony or Clashing with Each Other. | Dr Jenny Roth/Dr Paul Maher | The concept of group compatibility (i.e., whether people preceive that specific groups fit or are clashing with each other in terms of their norms, values, characteristics and goals) has received much attention lately. Perceptions of groups as more or less compatible predict identification with the respective groups, attitudes towards the groups, well-being, acculturation and many more. However, a validated measure of perceptions of group compatibility is still missing from the literature. This project aims to integrate the various items of group compatibility that have been used in previous research to derive a validated measure that can be universally used. The work will involve a literature search, setting up and conducting studies and using factor analysis and correlational analyses to analyse findings. | 2 |
| Psychology | Why priming and information-based manipulations are sometimes unsuccessful. | Dr Jenny Roth/Catriona Shelly | Our previous experimental research indicates that classical manipulations used in psychological research (i.e., priming and presenting information) are sometimes unsuccessful because each of them neglects an important moderator. We have identified those moderators, i.e., conditions under which those manipulations work best or even show opposing effects. The present project aims to extend this previous research by using classical manipulations from previous research and demonstrate the relevance of the identified moderators for respective outcomes. The work will involve identification of some classical experiments, setting those experiments up with research software, conducting those studies, analysing findings, and contributing to the write up of the results. | 2 |
| Healthcare | Reviewing the impact of augmented reality on healthcare education | Dr Liz Kingston | Augmented reality (AR) allows users to interact with the real world while enhancing the experience with computer-generated sensory information. This technology overlays digital elements onto the physical environment, creating an enriching experience that blends the virtual with the real. Since the first AR application was developed specifically for educational use in the 1990’s it has undoubtedly impacted education. AR has continued to evolve and enhance simulated learning experiences by integrating digital information with the real world of healthcare education. Its application to healthcare education continues to progress, despite this research that focuses on AR application in healthcare education is limited. This project will involve an in-depth review of the literature and the writing up of the results and a report. | 2 |
| Healthcare/Prescribing | An analysis of deprescribing interventions and shared decision making. | Jill Murphy | Polypharmacy is described as taking five or more medicines at any one give time. The prevalence of polypharmacy among older adults aged 65 years or over can be as high as 45% at times. As individuals grow older, taking some medication may be more damaging than beneficial, leading to frailty, falls and mortality. Evidence suggests that deprescribing offers a systematic approach to examining how some medications weigh more harm than good, and a decision is made to discontinue the medication. However critical to the success of deprescribing for older adults is shared decision making and the involvement of healthcare professionals who prescribe, older adults and family members or next of kin. Further research to examine the experiences of healthcare professionals and in particular nurse prescribers involving older adults and their families in shared decision making and deprescribing interventions is warranted. This work will involve an analysis of deprescribing interventions and the role of nurse prescribers/healthcare professionals, older adults living in residential care settings and their families in shared decision making. | 2 |
| Psychology (Social and Personality) | Breaking the Dark Triad | Prof. Eric R. Igou | This project focuses on social psycholopgical procedures to change person characteristics that are descibed as the "Dark Triad" (Machiavellianism, Narcissism, Psychopathy). Studies will be experimental and correlational. | 1 |
| Psychology (Health, Applied); (also Social Sciences; Health Promotion; Public Health; Allied Health; Implementation Science) | Exploring participants' experiences of the Inclusive Sustainable Cycling (ISCycle) ebike loan intervention, including aspects related to inclusiveness | James Green, Louise Foley, Anna Barrero, Yvonne Ryan | ISCycle is a multidisciplinary research project examining the impacts of electric bikes (ebikes) on transport behaviour change and the environment. Participants are currently taking part in a randomised controlled trial via their workplace. The intervention involves loaning an ebike of their choice for 4-12 weeks while their transport mode use is measured. This proposed project will be embedded within the trial, using qualitative (interviews) and quantitative (trial data) methods to understand participant experiences and the inclusiveness of the intervention. | 2 |
| Public Health; Health Systems Strengthening - Health Services Improvement - Urgent and Emergency Care - Paramedicine | Community Paramedicine as an Alternative Care Pathway to the Emergency Department for Older Adults: A Participatory Mixed Methods Study | Dr. Niamh Cummins, School of Medicine | A rising population with an ageing demographic poses significant Public Health challenges. In 2022 there were almost 1.5 million Emergency Department (ED) presentations in Ireland and calls to the National Ambulance Service increased by 6% to 389,764 calls nationally. Community Paramedicine (CP) is a model of care that uses paramedics in expanded roles such as health promotion, disease prevention and chronic disease management to provide patient-centred healthcare (5). Internationally CP in targeted populations, such as older adults, has resulted in up to a 50% decrease in patients being conveyed to EDs. The CP model also cost-effectively increases health equity in rural areas and improves patient experience and quality of life. In a recent Irish study older patients and their families voiced a preference for ED avoidance and valued the opportunity to be treated at home by paramedics. A new role of ‘Specialist Paramedic – Community Care’ was approved by the Pre-hospital Emergency Care Council in 2023. This study will use a Mixed Methods design to help policymakers understand how CP practice could enhance the quality of care for older adults in Ireland, informed in a participatory manner by key stakeholders. | 2 |
| Nursing | Peer support for mental health in carceral/prison settings: a scoping review | Dr Ann-Marie Bright, Department of Nursing & Midwifery | The peer support movement has gained much traction in mental health services in recent decades and has also been implemented in prison settings. The aim of this review would be to identify the exisiting evidence on the use of peer support for mental health in the prison setting to inform future research, practice and policy. This project will include contributing to the completion of a scoping review. | 1 |
| Nursing | The psychosocial impact of psychotropic medication discontinuation for those in carceral/prison settings: a qualitative systematic review | Dr Ann-Marie Bright, Department of Nursing & Midwifery | The prescription and administration of psychotropic medication in prison settings comes with many challenges. This project will focus on exploring the existing qualitative evidence that speaks to the discontinuation of psychotropic medications on those in carceral/prison settings to increase understanding of how medication discontnuation affects the individual and to inform future research, policy and practice. The project will include contributing to the completion of a systematic review. | 1 |
Dates Details
Application Deadline: February 15, 2025
Program Confirmation Deadline: March 1, 2025
Program Dates: May 28–July 26, 2025
On Campus Dates
There will be one or two on-campus/virtual class meetings before the program start date.
Orientation Dates & Locations
The Learning Abroad Center provides pre-departure orientation in preparation for your time abroad. It is your responsibility to know the information shared at these orientations.
Orientation consists of several sessions, all of which are created to support your preparation to go abroad:
- Online Health & Safety Orientation: This asynchronous module can be accessed in your LAC checklist and is mandatory.
- LAC Program Orientation: Program-specific and important UofM registration information will be covered (academic registration, finances, arrival, housing etc.). Details will be sent to you via email.
The Learning Abroad Center also offers 2 optional orientations:
Fees
Summer 2025 Cost of Participation
Program fees can vary widely due to location, cost of living, airfare, and program inclusions. The program fee generally includes tuition, airport transfers, in-country program related transportation, housing, some meals, entrances to course-related excursions and site visits, program administration, and international health insurance. You must also budget for your flight, visa, passport and passport photos, meals not included in the program fee, spending money, and miscellaneous living expenses.
Billing & Payments
Visit Billing for information about the billing process for application fees, deposits, and program fees.
Financial Aid & Scholarships
Visit Financial Information for information on using financial aid and scholarships for study abroad.
Cancellation Policy
Before you apply to or confirm your participation on this program, review the Learning Abroad Center's Cancellation Policy to inform yourself of the timeline and financial obligations for canceling.
Summer 2025
Honors Research in IrelandSummer 2025 |
|
|---|---|
Program Fee
|
|
| Non-refundable deposit | $400 |
| Tuition and educational costs | $6,426 |
| International health insurance | $117 |
| Housing and/or mealsStudents will be placed in 4-8 person apartments, each with their own bedroom. Meal plan included M-F, 3 meals per day. No meals included Sat/Sun. | $4,802 |
| Transportation (if required and included in program fee) | $0 |
| Total Program Fee | $11,745 |
| Program discount for University of Minnesota and Big Ten students, if applicable | $0 |
| Total Program Fee with discount, if applicable | $11,745 |
Estimated Additional Expenses
|
|
| Costs Typically Incurred Prior to Departure These costs may need to be paid before your financial aid is disbursed for your term abroad. | |
| Transportation to and from program siteCost of flight | $2,000 |
| Passport/photos | $175 |
| Visa/required documentsU.S. citizens do not require a visa | $0 |
| Travel clinic/immunizations* | $0 |
| Housing deposit | $500 |
| Total Estimated Cost Incurred Prior to Departure | $2,675 |
| Costs Typically Incurred After Arrival in Host Country | |
| Texts/materials | $0 |
| Housing and/or meals not included in program fee$50/weekend for food (8 weekends) | $400 |
| Essential daily living expenses | $400 |
| Total Estimated Cost Incurred After Arrival in Host Country | $800 |
Total Estimated Cost of Participation
|
|
| Total Estimated Cost of Participation | $15,220 |
| Spending money and personal travel Not included in financial aid calculation | $500 |
| Additional Notes & Information | |
| * Immunizations Note: This estimate is based on approximate cost of travel-related vaccinations and medications required for entry or recommended by the Centers for Disease Control and Prevention. Your costs may be higher or lower depending on your travel clinic, the specific immunizations and medication prescribed, and your insurance coverage. | |
Prepare
Complete pre-application advising.
Current US passport processing times are longer than normal. If you do not have a passport, or your passport expires less than 6 months after your return date from your time abroad, apply for a new passport now.
Apply
The COVID-19 vaccine series is strongly recommended, pursuant to CDC guidelines, but not required for participation in this program.
You will be charged a $50 application fee for each application you submit.
You will be charged a $50 application fee for each application you submit.
Complete
After you submit your application, you will receive an email notification confirming that your application was received. Submitted applications are assigned an application checklist, which will include the following items:
- Application Essay
Detailed descriptions and instructions for submitting each checklist item are included on the application checklist assigned to you.
Next Steps
Application Review Process
- After you complete all required application checklist items, you will receive an automated email message indicating your application is ready to be reviewed.
- Your completed application will be reviewed by the Learning Abroad Center.
- If admitted, the Confirmation & Payment Agreement form will be added to your checklist. Complete this form to secure your spot on the program. By submitting the form, you also give your approval for the program deposit to be billed to your UofM student account.
- Complete the confirmation checklist, which include the following items in additional to program-specific forms:
- Passport Information
- Emergency Contacts
- Health Information Form
- Online Health & Safety Orientation
- Release & Waiver
- You will receive information about additional steps from the sponsoring college/department.
After You Apply
Before your program begins, review these resources.
Health & Safety
Learn more about staying healthy and safe abroad, including mental health and wellness, international travel insurance, and safety precautions.
Power of Attorney
Consider designating someone as your power of attorney to act as your legal representative while you’re abroad.
Student Identity
Consult our resources on student identities as you prepare for your abroad experience.
Travel Resources
Ready to go abroad? Our travel resources will help you pack and learn what to expect.
Program Contact
For further information or questions about this program, send an email to
Dunia Tesfaye at [email protected],
or call at
612.626.1117