Teaching & modules

Modules

Required Modules

  • Applied Bioinformatics and Cloud Computing (30 credits)
  • Introduction to Applied Statistical Method (15 credits)
  • Omics Techniques and Technologies; Their Application to Genomic Medicine (15 credits)
  • Data cleaning and data management (30 credits)
  • Research project in Applied Bioinformatics (60 credits)

Optional Modules

You must take enough modules to bring your total for the year to 180, from a range of optional modules, which will typically include:

At the outset of the course, one of:

  • Fundamentals of Programming for Biologist* (15 credits)
  • Principles of Molecular Biology for Computer Scientists* (15 credits)

Later on, one of:

  • System Biology (15 credits)
  • AI and Machine Learning (15 credits)

*These optional modules have to be approved by the programme team which will decide which module the student can attend based on their BSc.

Teaching methods - what to expect

Lectures
Tutorials
Workshops
Self-Study

This practically oriented program will be taught through a combination of lectures and workshops. The course also requires a significant element of self-study.

Typically, one credit equates to 10 hours of work.

Assessment

  • Coursework
  • Exams
  • Group projects

Performance will be assessed through a combination of coursework, group projects and written examinations. Forms of assessment may typically include presentations, short-answer questions, practical write-ups and written examinations. Most 15-credit modules are assessed by coursework only or examination only. For the remaining modules coursework typically contributes 40% and examinations approximately 60% of the final mark.

Application closing date guidance

Key Information

Course type:

Master's

Delivery mode:

In person

Study mode:

Full time

Duration:

One year full-time

Application status:

Open

Start date:

September 2026