Teaching & modules
Teaching methods - what to expect
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.
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.
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