MSc in Data Analytics for Precision Medicine

Course Features

The MSc in Data Analytics for Precision Medicine is open to graduates in the Health Sciences and Healthcare professionals who hold a minimum 2H1 in an undergraduate Degree. This 90-credit MSc has a 2-year part-time offering (X890) or can be taken as a full-time, 1-year programme (X889).  In addition, there are options to complete the 30-credit Graduate Certificate (X892), or the 60-credit Graduate Diploma in Data Analytics for Precision Medicine (X891).

  • Masters Taught Degree ; Full-Time (1 year) or Part-Time (2 year)
  • Significant contribution by an industry leader, Genomic Medicine Ireland
  • Traditional Didactic Teaching with online, syncronous and asynchronous learning
  • Exit and Entry Strategies at Graduate Certificate and Graduate Diploma level
  • NFQ Level 9, 90 ECTS Credits

Course Overview

The MSc in Data Analytics & Precision Medicine will provide students with cutting edge knowledge underpinning disease mechanisms and the technologies and analytical strategies that advance their diagnosis and treatment. The MSc will provide conceptual understanding and advanced scholarship, enabling students to critically evaluate and critique current research and innovation methodologies and propose new research questions and hypotheses.

Applications of precision medicine in the areas of drug discovery, biomarker development and cancer will be explored throughout the program using examples internationally and from within the Irish healthcare framework. This MSc will provide students with a comprehensive understanding of the technologies underpinning precision medicine and analysis strategies for drawing biological insights and clinical inferences from the resulting data.

The program will be delivered by clinical and scientific experts from UCD and its associated teaching hospitals, as well as industry leaders in precision medicine. This interdisciplinary programme is applicable to life sciences graduates and healthcare professionals, wishing to pursue careers in industry, academia and clinical settings.
We envision the MSc programme to be structured into 12 mandatory 5 credit modules, coupled with a 30-credit research project. The program will be offered as a Graduate Certificate for students completing 30 credits worth of modules from Tier1 and Tier2.

This structure encompasses the application areas of Biomarker development, Cancer and infectious disease and will cater for a broad audience while ensuring all students have a basic knowledge in the techniques and data analysis aspects of precision medicine thus providing graduates with excellent career opportunities.

Who Should Take This Course?

Applicants should have successfully completed an undergraduate medical degree or primary degree programme (minimum of a 2.1 honours or equivalent) in a biological or chemical science. This includes a B.Sc. in Biotechnology, Biochemistry, Microbiology, Genetics, Neuroscience, Physiology, Pharmacology, Medicinal Chemistry or an equivalent qualification.

If English is not the applicant’s native language, unless the primary degree was read through English medium in an English-speaking country, an English language qualification is required. English language qualifications include a minimum score of 6.5, overall, in the International English Language Testing System (IELTS). Other evidence of proficiency in English may be accepted such as the Cambridge Certificate, TOEFL or Pearson’s Test of English, as per the standard UCD requirements.

What Will I Learn?

Knowledge and Understanding

On successful completion of the programme students will be able to:

  1. Demonstrate a comprehensive knowledge and understanding of the current state-of-the-art in the area of genomically informed precision medicine and its applications and potential in Biomarker development, cancer and infectious disease.
  2. Demonstrate a comprehensive knowledge and understanding of the role of genetics in cohort driven drug discovery to further advance the discovery of new and highly innovative biotech products.
  3. Comprehensive knowledge and understanding of the high throughput technologies and data types that underpin precision medicine.
  4. Understand the data analysis techniques used to analyse data from high throughput technologies.
  5. Demonstrate a knowledge and understanding of the ethical and privacy issues associated with the use of genomic and phenotypic data in both clinical, research and industrial settings.
  6. The role of key stakeholders in the life cycle of precision medicine including, researchers, clinicians, patient groups policy makers, CROs and Biopharma.

Applying Knowledge and Understanding

  1. Demonstrate skills in problem-solving and incorporating critical thinking and decision-making into a variety of clinical/biopharmaceutical applications and environments. experimental design, problem solving and interpretation of new data.
  2. Demonstrate the analytical and technical skills required for experimental research or the interpretation of different data types in the exploitation of scientific discovery in industry and clinical settings depending on their chosen project.
  3. Incorporating ethical and information governance considerations into the analysis of patient and research participant genomic and phenotypic data in the era of GDPR Making Judgments

Learning Outcomes

On successful completion of the programme students will be able to:

  1. Understand conceptual development and new approaches being applied to further advance knowledge in the precision medicine.
  2. Identify and appropriately manage the professional, ethical and wider social aspects and impacts of precision medicine and genomic research.
  3. Identify and deploy appropriate analytical strategies for mining clinical and biological insights from genomics and other OMICs data.

Communications and Working Skills

On successful completion of this programme students will be able to: communicate clearly (orally and in writing) with key stakeholders their conclusions, and the knowledge and rationale underpinning these to their peers in academia, industry and the wider public. 1. outline and explain barriers that exist in the development of precision medicine Learning skills On successful completion of this programme students will be able to:

  1. Eevaluate their independent learning needs and study independently using library resources, Computer-assisted learning (CAL), and web-based study activities.
  2. Develop strategies for continuous professional development and continue self-directed learning required to enhance their career ambitions.

Exit & Progression Opportunities

  • Candidates will complete a 90-credit MSc programme either as a 2-year part-time offering (X890) or as a full-time, 1-year programme (X889). 
  • In addition, there are options to complete the 30-credit Graduate Certificate in Data Analytics for Precision Medicine (X892) and the 60-credit Graduate Diploma in Data Analytics for Precision Medicine (X891).
  • Stepwise progression enables students who have successfully completed 60-credits to attain the Graduate Diploma in Data Analytics for Precision Medicine.

How and Where Will I Learn?

This programme will be delivered on the University College Dublin Belfield campus with some learning delivered via online resources.

Genomics Medicine Ireland (GMI) will provide significant levels of content and teaching as part of the UCD-GMI strategic partnership. As an international leader in genomic medicine GMI is uniquely placed to contribute to the delivery of aspects of this programme.

Am I Eligible for this Course?

Applicants should have successfully completed an undergraduate medical degree or primary degree programme (minimum of a 2.1 honours or equivalent) in a biological or chemical science. This includes a B.Sc. in Biotechnology, Biochemistry, Microbiology, Genetics, Neuroscience, Physiology, Pharmacology, Medicinal Chemistry or an equivalent qualification.

International Applicants

  • If English is not the applicant’s native language, unless the primary degree was read through English medium in an English-speaking country, an English language qualification is required.
    English language qualifications include a minimum score of 6.5, overall, in the International English Language Testing System (IELTS). Other evidence of proficiency in English may be accepted such as the Cambridge Certificate, TOEFL or Pearson’s Test of English, as per the standard UCD requirements.
  • For more information on studying at UCD as an international student please click here

Course Fees

Programmes fees are subject to change, please consult the Fees & Grants Office website for the relevant fee.

Contact Us

Programme DirectorProgramme Administrator

Professor Brendan Loftus
Room G043, UCD Conway Institute
University College Dublin
Belfield, Dublin 4, Ireland

e: Brendan.Loftus@ucd.ie 
t: +353 1 716 6718

CRC Administrative Team
UCD Clinical Research Centre
Catherine McAuley Education & Research Centre
Mater Misericordiae University Hospital
Nelson Street, Dublin 7.

e: crc@ucd.ie 
t: +353 1 716 4504