Course Overview

This Masters programme consolidates core disciplines to address a rapidly increasing skills gap in the healthcare and biomedical research sector. AI is already revolutionising medical imaging, digital pathology, drug development and pharmaceutical research. In the era of genomic medicine, AI will transform the way we diagnose and treat diseases, reducing the impact of the healthcare crisis in industrialised countries caused by cancer, obesity and diabetes. This course combines teaching in AI and machine learning (ML), precision medicine, systems biology, bioinformatics and computational biology.

The programme consists of (i) introductory modules that aim to familiarise students with the basic concepts of biology and medicine through examples and the analysis of relevant data sets and (ii) advanced modules with focusing on AI/ML applications in omics/image analysis and include project work.

This course is eligible for UCD Global Excellence Scholarships. For more information on these scholarships and application details visit this link.  

  • Click here for Full-Time or here for Part-Time and follow the steps outlined.
  • Scroll to the bottom of the course page and click the (yellow) APPLY button.
  • Follow the on screen instructions.
  • You will be directed to a login page.
  • If you have never applied to study at UCD before, click on Create Account and follow the instructions shown to you on the screen and by email. Once your account has been created, you will receive an email from UCD IT Services with your login credentials. To continue with your application, you should click on the ‘Continue’ hyperlink embedded in the email. Once you have logged into your account, you will see the application form for the programme you had selected.
  • Please complete all the ‘Required Application Tasks’ to submit your application.
  • To help you complete your application, we have created a comprehensive video guide about how to fill out the application. 

The programme is aimed at computer scientists, data scientists, mathematicians, and statisticians. We also offer the course for biologists with good programming skills (R or Python). Entry requirements are a Bachelor’s degree (minimum 2H1), good programming skills and a solid foundation in statistics/mathematics or biology.

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

  • Demonstrate a comprehensive knowledge and understanding of the current state-of-the-art methods in AI/ML and their possible applications to biological and medical data. 
  • Understand the research questions and possible applications in these fields that can be solved using AI/ML.
  • Understand the nature and structure of biological and medical data including those produced by omics (transcriptomics, genomics, proteomics) and imaging methods.
  • Understand the design of biological and medical research projects.
  • Demonstrate a knowledge and understanding of the ethical and privacy issues associated with the use of medical and biological data.
  • Apply AI/ML applications that can drive the discovery and development of new and highly innovative biomedical and biotech methods and products. 
  • Demonstrate skills in problem-solving and incorporating critical thinking and decision-making into a variety of clinical, biopharmaceutical, and biological research applications and environments.
  • Demonstrate the analytical and technical skills required for the analysis and interpretation of different data types in the exploitation of scientific discovery and development in industrial, academic and clinical settings.
  • Work with data from biological and biomedical databases and e-health information systems.
  • Incorporate ethical and data governance considerations into the analysis of patient and research data that satisfy concurrent data protection frameworks in the era of GDPR.

View All Modules Here >>

 

The programme is delivered through traditional face-to-face lectures and tutorials, along with online synchronous and asynchronous teaching. Delivery modes will vary across modules, and regular on-campus attendance will be required. A range of assessment strategies including, written assignments, practical assessments, written examinations, reports, and research projects will be employed across the modules.

The programme is aimed at computer scientists, data scientists, mathematicians and statisticians. We also offer the course for biologists who have good computer skills.

Entry requirements are a Bachelor’s degree (min 2H1), good programming skills, and a solid foundation in statistics/mathematics or biology.

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.

The programme major is open through the UCD online applications system www.ucd.ie/apply (see code X903 full-time or X984 part-time).

 

  • The School welcomes applications from eligible international applicants.
  • To Apply click this link, scroll to the bottom of the page. Click the yellow "Apply" button and follow the steps outlined.
  • For more information on studying at UCD as an international student please click here.

This course is eligible for UCD Global Excellence Scholarships. For more information on these scholarships and application details visit this link.  

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

Programme Director Programme Administrator

Dr Vadim Zhernovkov
Systems Biology Ireland
UCD School of Medicine
University College Dublin, Belfield

Email: vadim.zhernovkov@ucd.ie

http://www.ucd.ie/sbi/

Postgraduate Medicine Administrator
Health Sciences Centre
UCD School of Medicine
University College Dublin, Belfield


Email: postgraduate.medicine@ucd.ie

Key Information:

  • CAO Code X903 / X984
  • Duration 12 months (FT) / 2 years (PT)
  • Schedule Full-Time / Part-Time

Ready to take the next step?

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