MSc Personalised Medicine at Ulster University

<p dir="ltr">MultidisciplinaryWe present MSc Personalised Medicine, a mutlidisciplinary biomedical science programme. </p><p dir="ltr">MSc Personalised Medicine equips you with a 360-degree skill set across biomedical science, data science and clinical practice to advance your career in the life sciences.</p><p dir="ltr">This online course will expand your scientific expertise and skills and can support your continuing professional development for career enhancement.</p><p dir="ltr">It is aimed at graduates wanting to broaden their skills or upskill in key areas.</p><p dir="ltr">MSc Personalised Medicine is a Master’s programme that can be taken in 1 year full-time or across 2 years part-time. Both full-time and part-time programmes have two intakes and can be started in September or January.</p><p dir="ltr">This is a flexible, modular, credit-bearing programme that can be studied to achieve a range of postgraduate qualifications.</p><p dir="ltr">· By completing 8 modules and a research project to standard you can graduate with the full Masters (MSc).</p><p dir="ltr">· By completing 8 modules to standard without the research project you can graduate with Postgraduate Diploma (PgDip).</p><p dir="ltr">· By completing 4 modules without a research project, you can graduate with a Postgraduate Certificate (PgCert).</p><p dir="ltr">· Interested students are also welcome to complete individual modules as short courses.</p><p dir="ltr">This course will give you an in-depth understanding of disease systems, molecular pharmacology, genetic/proteomic biomarker discovery and validation, bioinformatics and data analytics applied to large patient and ‘omic’ datasets ('big data').</p><p dir="ltr">You will exit this course with a highly sought-after combination of expertise in biomedicine, bioinformatics and data analytics and will be well-equipped to become part of a rapidly expanding workforce on the cutting edge of scientific and medical progress. You will be well positioned for a career in research, the health service, and the pharmaceutical and diagnostics industries.</p><p dir="ltr">The programme has oversight from a dedicated Employer Advisory Board, comprising over 15 industrial partners located throughout the UK, Ireland and the US.</p><p dir="ltr">MSc Personalised Medicine is delivered by a research active lecturing team, all with PhDs in relevant subject areas, who have professional body recognition and lead active research programmes in Personalised Medicine.</p><p dir="ltr">Students will study the following modules.</p><p dir="ltr">· <b>MPM700: Clinical translation & regulatory pathways (15 credits)</b>. We explore the theory of prognostic clinical decision making in the context of current and future applications for personalised medicine. This module also details the regulatory and clinical guidance that ensures the safe and evidence-based testing.</p><p dir="ltr">· <b>MPM701: Introduction to Personalised Medicine & Pharmacogenomics (15 credits)</b>. Exploring an important and emerging area of personalised medicine, this module focuses on how genetics affects drug metabolism, reviews the methods of biomarker discovery/development and explores the challenges of personalised medicine research and its introduction into society.</p><p dir="ltr">· <b>MPM702: Multi-omics methods (15 credits).</b> Introducing computational approaches to studying genes, proteins or metabolites, this module teaches Python coding, data analysis and how to work with the databases that support data analysis.</p><p dir="ltr">· <b>MPM703:</b><b> </b><b>Research Ethics & Governance</b><b> </b><b>(15 credits)</b><b>.</b> Providing an understanding of the importance of ethics and governance in clinical and research studies, this module covers the regulatory processes involved in research governance and provides students with an opportunity to experience an ethics review in a research application.</p><p dir="ltr">· <b>MPM704: Biomedical Informatics (15 credits).</b> This module teaches the theory and application of core biostatistics and bioinformatics techniques used across academia and industry in project planning, analysis and evaluation. It introduces the R coding language and explores how it can be used to implement analysis.</p><p dir="ltr">· <b>MPM705: Clinical Trials Design and Patient Recruitment (15 credits).</b><b> </b>Providing the ability to critically evaluate clinical trial design, analysis, reporting and quality assurance, this module explores in depth the process of patient recruitment and the regulatory and ethical processes involved.</p><p dir="ltr">· <b>MPM706: Healthcare Economics & Innovation (15 credits).</b> Exploring the vital importance of economics in healthcare provision, this module focuses on the financial costs, benefits and limitations of delivering healthcare and introducing personalised medicine. This includes the economic models that underpin big pharma as well the importance of entrepreneurship and small medium enterprises in driving forward healthcare innovation.</p><p dir="ltr">· <b>MPM707: Health Informatics & Data Science (15 credits).</b> This module introduces the techniques needed to be able to work with high dimensional data (big data) and the mathematics that underpins the fundamental data science. Coding in Python, we learn how to analyse data and explore machine learning/AI based analysis</p><p dir="ltr">· <b>MPM708: Research Project (60 credits).</b><b> </b>Undertaking a research project with one of our research active staff, in this module students will undertake a contemporary and novel research project in a topic related to personalised medicine.</p>