Taught course

Health Data Science MSc

Institution
UCL - University College London · Institute of Health Informatics
Qualifications
MSc

Entry requirements

A minimum of an upper second-class Bachelor's degree, or equivalent, in a clinical or a scientific discipline with a significant computational or mathematical element. Students are expected to understand the basic concepts of statistics, such as sampling and variation and to be familiar with simple statistical tests, such as those used in the medical literature for hypothesis testing. A self-paced online programme is available for students who want to revise this material at the start of the academic year.

The English language level for this course is: Level 2.

Further information can be found on our English language requirements page.

Pre-Master's and Pre-sessional English

UCL Pre-Master's and Pre-sessional English courses are for international students who are aiming to study for a postgraduate degree at UCL. The courses will develop your academic English and academic skills required to succeed at postgraduate level.

Months of entry

September

Course content

Discover how cutting-edge techniques are revolutionising medical research with UCL's Health Data Science MSc. This dynamic course immerses you in advanced computational methods in artificial intelligence and machine learning tailored for analysing large, complex biomedical data. You will gain the skills and expertise to drive innovations that enhance healthcare and medicine.

Fees and funding

Please see UCL website for full information about fees and costs for this course.

Qualification, course duration and attendance options

  • MSc
    part time
    24 months
    • Campus-based learningis available for this qualification
    full time
    12 months
    • Campus-based learningis available for this qualification
    flexible
    60 months
    • Campus-based learningis available for this qualification

Course contact details

Phone
+44 (0) 20 3370 1214