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Personalised Medicine
BSc (Hons)

2021/22 Full-time Undergraduate course

Award:

Bachelor of Science with Honours

Faculty:

Faculty of Life and Health Sciences

School:

School of Biomedical Sciences

Campus:

Magee campus

UCAS code:

8H21
The UCAS code for Ulster University is U20

With this degree you could become:


  • Bioinformatician
  • Clincial trial design
  • Computational biologist
  • Medical researcher

Graduates from this course are now working for:


  • Analytics Engines
  • Bio Search
  • Dawn Fresh Foods
  • Fusion Antibodies
  • Health & Social Care Trust (Antrim Area Hospital)
  • NI Clinical research - Royal Hospital
  • Royal Hospital

Overview

The right treatment, for the right person, at the right time.

Media

Summary

Study Stratified Medicine at Ulster University in the United Kingdom.

Stratified medicine, also known as personalised medicine, is at the cutting edge of a new era in healthcare.

Our ability to understand how genes, lifestyle and environment can influence disease promises to revolutionise healthcare practices. Stratified medicine relies on the use of biomarkers (such as genes or proteins) to stratify (or organise) patients into groups of individuals who are at risk of developing a disease, or who are likely to respond better to one therapy over other alternatives.

It also focuses on the development of new technologies and systems to predict disease, select the best treatment, and reduce side effects for individual patients. This approach to streamlining healthcare provides more accurate clinical decision making tools to identify ‘the right treatment, for the right person, at the right time.’

To learn more about stratified medicine in practice and how Ulster University is using it to treat rheumatoid arthritis patients, you can read our blog post here.


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Magee campus

Our vision is aligned to the strategic growth plan for the city and region

About this course

About

The Stratified Medicine BSc Hons is a three-year, full-time course (or four years with optional placement). In year one students will study six modules which will establish a strong foundation in topics such as physiology, disease and treatment, pharmacogenomics, clinical governance, computer programming and the ‘omics’ (genomics, proteomics and metabolomics).

Year two will consist of six modules which will develop your expertise ‘in silico’, with applied computer programming, data management and analysis and ‘in vivo’ with study of specific disease epidemiology and pathologies.

An optional placement year is available in year three, which provides a wide range of opportunities for students to experience professional work experience in an industrial, hospital or university environment.

Final year provides essential know-how of clinical trial design and analysis, healthcare economics and the application of your acquired expertise through completion of a research project (data analysis/clinical/basic science research).

You will gain an in-depth understanding of disease systems, molecular pharmacology, genetic and proteomic biomarker discovery and validation, and bioinformatic and statistical analyses of large patient and ‘omic’ datasets.

You will exit this progamme with a highly sought-after combination of expertise in biomedicine, bioinformatics and biostatistics and will be well-equipped to become part of a rapidly expanding workforce on the cutting edge of medical progress. You will be well positioned for a career in research, the health service, and the pharmaceutical and diagnostics industries.

The programme incorporates professional skills developed in collaboration with a dedicated Industrial Liaison Committee, comprising over 30 industrial partners located throughout the UK, Ireland and the US, which includes companies like Randox Laboratories, Almac Diagnostics, GlaxoSmithKline and Aridhia.

Your future career will no doubt improve patients’ quality of life through better healthcare, and smarter technologies to treat and manage diseases such as heart disease, diabetes, neurological disorders, cancer or immune disease.

The University employs over 1,000 suitably qualified and experienced academic staff - 59% have PhDs in their subject field and many have professional body recognition.

Courses are taught by staff who are Professors (25%), Readers, Senior Lecturers (18%) or Lecturers (57%).

We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic staff (81%) are accredited fellows of the Higher Education Academy (HEA) - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.

The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.

Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.

Figures correct for academic year 2019-2020.

Associate awards

Diploma in Professional Practice DPP

Diploma in Professional Practice International DPPI

Find out more about placement awards

Attendance

Full time.

Start dates

  • September 2021
  • Read more

    Content

    The content for each course is summarised on the relevant course page, along with an overview of the modules that make up the course.

    Each course is approved by the University and meets the expectations of:

    • the relevant generic national Qualification Descriptor
    • the applicable Subject Benchmark Statement
    • the requirements of any professional, regulatory, statutory and accrediting bodies.

    Attendance and Independent Study

    As part of your course induction, you will be provided with details of the organisation and management of the course, including attendance and assessment requirements - usually in the form of a timetable. For full-time courses, the precise timetable for each semester is not confirmed until close to the start date and may be subject to some change in the early weeks as all courses settle into their planned patterns. For part-time courses which require attendance on particular days and times, an expectation of the days and periods of attendance will be included in the letter of offer. A course handbook is also made available.

    Courses comprise modules for which the notional effort involved is indicated by its credit rating. Each credit point represents 10 hours of student effort. Undergraduate courses typically contain 10- or 20-credit modules (more usually 20) and postgraduate course typically 15- or 30-credit modules.

    The normal study load expectation for an undergraduate full-time course of study in the standard academic year is 120 credit points. This amounts to around 36-42 hours of expected teaching and learning per week, inclusive of attendance requirements for lectures, seminars, tutorials, practical work, fieldwork or other scheduled classes, private study, and assessment. Part-time study load is the same as full-time pro-rata, with each credit point representing 10 hours of student effort.

    Postgraduate Master’s courses typically comprise 180 credits, taken in three semesters when studied full-time. A Postgraduate Certificate (PGCert) comprises 60 credits and can usually be completed on a part-time basis in one year. A 120-credit Postgraduate Diploma (PGDip) can usually be completed on a part-time basis in two years.

    Class contact times vary by course and type of module. Typically, for a module predominantly delivered through lectures you can expect at least 3 contact hours per week (lectures/seminars/tutorials). Laboratory classes often require a greater intensity of attendance in blocks. Some modules may combine lecture and laboratory. The precise model will depend on the course you apply for and may be subject to change from year to year for quality or enhancement reasons. Prospective students will be consulted about any significant changes.

    Assessment

    Assessment methods vary and are defined explicitly in each module. Assessment can be a combination of examination and coursework but may also be only one of these methods. Assessment is designed to assess your achievement of the module’s stated learning outcomes. You can expect to receive timely feedback on all coursework assessment. The precise assessment will depend on the module and may be subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.

    Coursework can take many forms, for example: essay, report, seminar paper, test, presentation, dissertation, design, artefacts, portfolio, journal, group work. The precise form and combination of assessment will depend on the course you apply for and the module. Details will be made available in advance through induction, the course handbook, the module specification and the assessment timetable. The details are subject to change from year to year for quality or enhancement reasons. You will be consulted about any significant changes.

    Normally, a module will have 4 learning outcomes, and no more than 2 items of assessment. An item of assessment can comprise more than one task. The notional workload and the equivalence across types of assessment is standardised.

    Calculation of the Final Award

    The class of Honours awarded in Bachelor’s degrees is usually determined by calculation of an aggregate mark based on performance across the modules at Levels 5 and 6, (which correspond to the second and third year of full-time attendance).

    Level 6 modules contribute 70% of the aggregate mark and Level 5 contributes 30% to the calculation of the class of the award. Classification of integrated Master’s degrees with Honours include a Level 7 component. The calculation in this case is: 50% Level 7, 30% Level 6, 20% Level 5. At least half the Level 5 modules must be studied at the University for Level 5 to be included in the calculation of the class.

    All other qualifications have an overall grade determined by results in modules from the final level of study. In Master’s degrees of more than 200 credit points the final 120 points usually determine the overall grading.

Academic profile

The University employs over 1,000 suitably qualified and experienced academic staff - 59% have PhDs in their subject field and many have professional body recognition.

Courses are taught by staff who are Professors (25%), Readers, Senior Lecturers (18%) or Lecturers (57%).

We require most academic staff to be qualified to teach in higher education: 82% hold either Postgraduate Certificates in Higher Education Practice or higher. Most academic staff (81%) are accredited fellows of the Higher Education Academy (HEA) - the university sector professional body for teaching and learning. Many academic and technical staff hold other professional body designations related to their subject or scholarly practice.

  • Read more

    The profiles of many academic staff can be found on the University’s departmental websites and give a detailed insight into the range of staffing and expertise. The precise staffing for a course will depend on the department(s) involved and the availability and management of staff. This is subject to change annually and is confirmed in the timetable issued at the start of the course.

    Occasionally, teaching may be supplemented by suitably qualified part-time staff (usually qualified researchers) and specialist guest lecturers. In these cases, all staff are inducted, mostly through our staff development programme ‘First Steps to Teaching’. In some cases, usually for provision in one of our out-centres, Recognised University Teachers are involved, supported by the University in suitable professional development for teaching.

    Figures correct for academic year 2019-2020.

Modules

Here is a guide to the subjects studied on this course.

Courses are continually reviewed to take advantage of new teaching approaches and developments in research, industry and the professions. Please be aware that modules may change for your year of entry. The exact modules available and their order may vary depending on course updates, staff availability, timetabling and student demand. Please contact the course team for the most up to date module list.

Year one

Biochemistry and Cell Biology

Year: 1

This module aims to provide an introduction to the structure, biochemistry, metabolism and function of key biological macromolecules including nucleic acids, carbohydrates, proteins and lipids. Students will construct knowledge of the building blocks of key biochemicals which are essential to cell function and human health. students will explore the relationship between macromolecule structure and function in the context of cell biology, human health and disease. Through practical classes which are designed to complement central concepts, students will have the opportunity to reinforce and develop their theoretical knowledge base.

Anatomy and Systems Based Physiology

Year: 1

This module will introduce fundamental aspects of anatomy and physiology under conditions of health. Students will learn how a range of anatomical systems function in the normal state, which will prepare them for the study of disease pathophysiology in later semesters.

Mathematical Methods

Year: 1

This module establishes the fundamental concepts of data handling and analysis . Students will learn the fundamental mathematics required to process and analyse data and the fundamental programming concepts required to implement analysis. This modules will establish a critical level of literacy in applied mathematics and computing that is applicable across all quantitative sciences.

Genetic Inheritance and Genetic Variation in Human Disease

Year: 1

This module will introduce the basic principles of genetic inheritance, from Mendelian laws to examples of autosomal, sex-linked and maternal human inheritance patterns, and provide a solid grounding in mathematical calculations for assessing the probability of inheriting different types of genetic traits. The topic of epigenetics and trans-generational epigenetic inheritance will also be introduced, alongside a consideration of genetic variation and its relationship to disease susceptibility. The genetics of whole populations will be considered, how allele and genotypic frequencies are calculated, and how they change within a population due to evolutionary pressures. The module will also cover methods for the analysis of large and small-scale DNA changes, as will statistical methods for population-based genetic association mapping. Underlining this will be real world examples of how genetic analysis methods can be applied for biomarker discovery in relation to drug response and disease risk.

Biocomputing and Programming

Year: 1

This module will provide an understanding of computer programming and its use within basic research and applied research and practice.

Inflammatory and Immunological Disease

Year: 1

The purpose of this module is to describe key immune/inflammatory disease causes, effects on sufferers, clinical management strategies, molecular pathways of disease and the potential application of stratified medicine.

Year two

Pharmacology and Pharmcogenomics

Year: 2

This module will introduce the basic principles of how drugs work in the body and how individual variation (including genetics) can hamper this process. This is particularly relevant to the concept of non-response - something that is targeted with stratified medicine. Worked examples of specific disease states will help students understand the complexity of the pharmacological treatment pathways and how stratification may aid these processes.

Statistical and Computing Methods

Year: 2

This module develops fundamental knowledge and understanding of statistical and computing methods, training students with the practical skills to implement and/or apply these methods using a statistical computing language to tackle typical data analytic tasks in biomedical sciences and stratified medicine.

Cellular and Molecular Pathophysiology

Year: 2

This module will introduce fundamental aspects of disease systems and treatment approaches in stratified medicine covering topics ranging from the classification of disease to current and emerging trends in therapeutics. Through a short report, and regular lab report forms accompanied by extensive verbal and written feedback, the students will put in practice their theory from the lectures and develop skills to identify current and emerging clinical questions for stratified medicine.

Biomedical Informatics

Year: 2

This module will provide an understanding of biomedical informatics and its use within basic research and applied research and practice.

DNA Sequencing and Omic Technologies

Year: 2

This module aims to provide an introduction to current DNA sequencing methods for the analysis of genes, genomes, epigenomes, microbiomes and transcriptomes, as well as other technologies used for the analysis of proteomes and metabolomes. Key terminologies and definitions are introduced, and the evolution of DNA sequencing platforms from Sanger to more modern day 2nd and 3rd generation methods considered, as well as the application of Mass spectrometry and Nuclear Magnetic Resonance for proteomic and metabolomics analysis. The module will also provide a basic grounding in computational analysis of NGS sequencing data, and complex high dimensional data for other 'OMIC' methods. Underlining this will be real world examples of how OMIC methods can be applied for biomarker discovery in big data and identification of disease pathways that could be targeted by the development of new drugs or drug repurposing.

Ethics, Regulatory process and Clinical Trial Design

Year: 2

This module is designed to provide an understanding of the concepts of ethics, research and clinical governance and regulatory processes. The module also covers clinical trial methodology and design. As part of this module students complete Research Integrity training, Human Tissue Act training and the National Institute for Health Research Good Clinical Practice (NIHR GCP) training, which are a legal requirement, to conduct research projects related to human samples from NHS patients, in placements and final year research projects.

Year three

Placement: Diploma in Professional Practice (International) (DPP/DPPI)

Year: 3

This module is optional

This placement experience is designed to provide an insight into the world of work, to consolidate knowledge and skills acquired during the first two years and to promote the development of transferable skills.

Year four

Multi-omics and Systems Biology

Year: 4

This module develops key concepts in systems biology and omics data analysis, providing hands-on experience of cutting-edge analytical tools and approaches, with a strong emphasis on making sense of omics data and systems models in their biomedical context. Students will learn the importance of interpreting analytical output in its biological and biomedical context - translating raw data into biological meaning. Graduates will possess a robust conceptual framework that facilitates understanding of analytical approaches across the many different types of omics data, and skills and confidence in their ability to analyze, interpret, and effectively communicate systems biology models and omics data analysis.

Clinical or Fundamental research design

Year: 4

This module seeks to guide students to use their skills and knowledge acquired to date to (1) challenge the scientific literature, and (2) to generate hypothesis and develop clinical or fundamental research plan, in a disease area of their choice, that may inform future stratification of patients. Through the module students will use their presentation skills, capacity to work together, as well as their capacity to develop and structure ideas.

Clinical decision making and health economics

Year: 4

This module explores the development of new personalised medicine products, from idea inception to performance evaluation and clinical uptake. It explores personalised medicine from the regulatory and clinician's point of view, examining existing and emerging technologies and systems. It provides an appreciation of the regulation and clinical guidance which is required to ensure the use of tests are evidence-based and considers the impact of their application to patient management including the economic cost-benefit analysis.

Clinical Research Project

Year: 4

This module provides students with experience of an independent original scientific research study. It provides experience of planning, organisation, conduct, critical analysis and reporting/presentation of research study findings. Students will complete an individual research project on a topic relevant to current research in Personalised Medicine. Graduates will have experienced independent, supervised, original research, and been provided with an opportunity to plan a research project, identify/resolve ethical issues, collect and analyse data, present and defend their findings, and write a scientific paper.

Applied Bioinformatics

Year: 4

This module will integrate and apply bioinformatics skills acquired throughout the course, providing experience of working as a team on computational projects relevant to stratified medicine, and preparing students for such roles in the working environment. Students will use competencies in data analysis gained from the rest of the Personalized Medicine course, and apply these to real-world bioinformatics problems. Graduates will be prepared for entry into biomedical data analysis roles, and be confident to contribute as part of a data analytics team, being capable to integrate and select from a wide range of analytical skills, and to apply those skills in the wider context of Personalized Medicine.

Personalised Medicine: Neurological and Psychiatric Disorders

Year: 4

This module provides an overview of aetiology, diagnosis, pathophysiology and treatment of psychiatric and neurological disorders and integrates this knowledge with an understanding of the role of a personalised medicine approach to clinical management strategies.

Entry conditions

We recognise a range of qualifications for admission to our courses. In addition to the specific entry conditions for this course you must also meet the University’s General Entrance Requirements.

A level

The A Level requirement for this course is BBB to include 2 science subjects – 1 from Group A and 1 from Group B
Group A: Information Technology, Digital Technology, Physics, Mathematics
Group B: Biology, Chemistry, Double Award Science, Double Award Life and Health Sciences

Provided the subject requirements are met you can substitute a combination of alternative qualifications recognised by the University for one A level grade.

Applied General Qualifications

Overall BTEC Extended Diploma (QCF) award profile DDD in an acceptable science discipline.

Overall BTEC National Extended Diploma (RQF) award profile DDM in an acceptable science discipline.

Irish Leaving Certificate

Irish Leaving Cert (Higher Level) grades H3,H3,H3,H3,H3 to include 2 science subjects – 1 from Group A and 1 from Group B:
Group A: Information Technology, Digital Technology, Physics, Mathematics
Group B: Biology, Chemistry, Double Award Science

Plus English and Maths Grade H6 or above (HL) or Grade O4 or above (OL) if not sitting at Higher Level.

Scottish Highers

The Scottish Highers requirement for this course is BBBCC to include Grade B in 2 science subjects – 1 from Group A and 1 from Group B
Group A: Information Technology, Digital Technology, Physics, Mathematics
Group B: Biology, Chemistry, Double Award Science.

Scottish Advanced Highers

The Scottish Advanced Highers requirement for this course is CCC to include 2 science subjects – 1 from Group A and 1 from Group B
Group A: Information Technology, Digital Technology, Physics, Mathematics
Group B: Biology, Chemistry, Double Award Science.

International Baccalaureate

Overall International Baccalaureate profile minimum 26 points (to include minimum 13 at higher level) to include 2 science subjects – 1 from Group A and 1 from Group B
Group A: Information Technology, Digital Technology, Physics, Mathematics
Group B: Biology, Chemistry, Double Award Science.

Access to Higher Education (HE)

Access course (120 credits) with an overall mark of 65%, to include 65% in Level 3 modules Physics, Biology and Chemistry, NICATs Maths (25 credits) or Maths 1 & 2.

GCSE

GCSE Profile to include Grade C or 4 or above in English, Mathematics and Science.

English Language Requirements

English language requirements for international applicants
The minimum requirement for this course is Academic IELTS 6.0 with no band score less than 5.5. Trinity ISE: Pass at level III also meets this requirement for Tier 4 visa purposes.

Ulster recognises a number of other English language tests and comparable IELTS equivalent scores.

Additional Entry Requirements

Satisfactory health screening will be required.

Acceptable alternative qualifications include:

HND:

Pass HND in an acceptable science discipline with overall Distinction to include 75 distinctions in level 5 credits

HNC:

Pass HNC in an acceptable science discipline with overall Distinction to include 90 distinctions in level 4 credits

You may also meet the course entry requirements with combinations of different qualifications to the same standard as recognised by the University (provided subject requirements as noted above are met). Examples of acceptable combinations include:

2 A Levels and BTEC Subsidiary Diploma

OCR National Diploma and BTEC Subsidiary Diploma

2 A Levels and Cambridge Technical Introductory Diploma

A Level and BTEC National Diploma

Careers & opportunities

Graduate employers

Graduates from this course are now working for:

  • Analytics Engines
  • Bio Search
  • Dawn Fresh Foods
  • Fusion Antibodies
  • Health & Social Care Trust (Antrim Area Hospital)
  • NI Clinical research - Royal Hospital
  • Royal Hospital

Job roles

With this degree you could become:

  • Bioinformatician
  • Clincial trial design
  • Computational biologist
  • Medical researcher

Career options

Your future

You will exit this course with a highly sought after combination of expertise in disease pathology, bioinformatics and biostatistics and will be equipped to become part of a rapidly expanding workforce on the cutting edge of medical progress. You will be well positioned for a career in research, the health service, the pharmaceutical, or diagnostics industries.

Your future career will improve the quality of life of patients through better healthcare, and smarter technologies to treat and manage diseases such as heart disease, diabetes, neurological disorders, cancer or immune disease.

Work placement / study abroad

A third year (optional placement year is available)

The placement provides a wide range of opportunities for students to experience professional work experience in an industrial, hospital or university environment.

Students benefit by greatly improving their practical abilities, time management, organisational and interpersonal skills and hence their employability.

Apply

Applications to full-time undergraduate degrees at Ulster are made through UCAS.

Start dates

  • September 2021

Fees and funding

Scholarships, awards and prizes

Undergraduate Achievement Award from the Society for Endocrinology.

Additional mandatory costs

Health Screening and Vaccinations

Costs for 2018: £35 - £155 dependent on vaccinations required.

Tuition fees and costs associated with accommodation, travel (including car parking charges), and normal living are a part of university life.

Where a course has additional mandatory expenses we make every effort to highlight them. These may include residential visits, field trips, materials (e.g. art, design, engineering) inoculations, security checks, computer equipment, uniforms, professional memberships etc.

We aim to provide students with the learning materials needed to support their studies. Our libraries are a valuable resource with an extensive collection of books and journals as well as first-class facilities and IT equipment. Computer suites and free wifi is also available on each of the campuses.

There will be some additional costs to being a student which cannot be itemised and these will be different for each student. You may choose to purchase your own textbooks and course materials or prefer your own computer and software. Printing and binding may also be required. There are additional fees for graduation ceremonies, examination resits and library fines. Additional costs vary from course to course.

Students choosing a period of paid work placement or study abroad as part of their course should be aware that there may be additional travel and living costs as well as tuition fees.

Please contact the course team for more information.

Contact

Admissions Office

T: +44 (0)28 7167 5678

E: admissionsmg@ulster.ac.uk

Admissions contact:

Sharon Harkin

E: s.harkin@ulster.ac.uk

T: +44 (0)28 71675072

International Admissions Office

E: internationaladmissions@ulster.ac.uk

For more information visit

Faculty of Life and Health Sciences

School of Biomedical Sciences

Disclaimer

  1. The University endeavours to deliver courses and programmes of study in accordance with the description set out in this prospectus. The University’s prospectus is produced at the earliest possible date in order to provide maximum assistance to individuals considering applying for a course of study offered by the University. The University makes every effort to ensure that the information contained in the prospectus is accurate but it is possible that some changes will occur between the date of printing and the start of the academic year to which it relates. Please note that the University’s website is the most up-to-date source of information regarding courses and facilities and we strongly recommend that you always visit the website before making any commitments.
  2. Although reasonable steps are taken to provide the programmes and services described, the University cannot guarantee the provision of any course or facility and the University may make variations to the contents or methods of delivery of courses, discontinue, merge or combine courses and introduce new courses if such action is reasonably considered to be necessary by the University. Such circumstances include (but are not limited to) industrial action, lack of demand, departure of key staff, changes in legislation or government policy including changes, if any, resulting from the UK departing the European Union, withdrawal or reduction of funding or other circumstances beyond the University’s reasonable control.
  3. If the University discontinues any courses, it will use its best endeavours to provide a suitable alternative course. In addition, courses may change during the course of study and in such circumstances the University will normally undertake a consultation process prior to any such changes being introduced and seek to ensure that no student is unreasonably prejudiced as a consequence of any such change.
  4. The University does not accept responsibility (other than through the negligence of the University, its staff or agents), for the consequences of any modification or cancellation of any course, or part of a course, offered by the University but will take into consideration the effects on individual students and seek to minimise the impact of such effects where reasonably practicable.
  5. The University cannot accept any liability for disruption to its provision of educational or other services caused by circumstances beyond its control, but the University will take all reasonable steps to minimise the resultant disruption to such services.

Testimonials

"I would not hesitate to recommend Ulster University, and in particular Stratified Medicine, to anyone. The Stratified Medicine course is packed with a rich variety of modules, carefully selected to give a well-rounded education in programming, medicine, and science – highly sought-after skills in the current and future market. The lecturing staff make the content interesting and easy to engage in. During my time studying, our lecturers supported us throughout, encouraging us to pursue our potential, and providing an approachable and interactive environment in class. Stratified Medicine translates cutting edge scientific, medical and computational approaches to clinical application, it is a course for those who wish to find their passion and make a difference".

Meabh O'Shea, Class of 2018

  Course Content