Taught course

Computational Data Science

Heriot-Watt University · School of Mathematical and Computer Sciences

Entry requirements

You will need a first or upper second-class honours degree (or its overseas equivalent) that has imparted reasonable know-how in programming and mathematics. Suitable candidates are likely to have studied a first degree in mathematics, statistics, physics, engineering or computer science. Lesser qualifications combined with relevant work experience may also be suitable.

English language requirements

Important: If your first language is not English, or your first degree was not taught in English, we'll need to see evidence of your English language ability.

The minimum requirement for English language is IELTS 6.5, we also accept TOEFL (scores of 79 and higher).

We also offer a range of English language courses to help you meet the English language requirement prior to starting your master's programme:

  • 20 weeks English (for IELTS of 5.0 with no skill lower than 4.5)
  • 14 weeks English (for IELTS of 5.0 with minimum of 5.0 in writing and no skill lower than 4.5)
  • 10 weeks English (for IELTS of 5.5 with no skill lower than 5.0)
  • 6 weeks English (for IELTS 5.5 with no skill lower than 5.5)

Months of entry


Course content

You should study MSc Computational Data Science if you already have a degree in mathematics, engineering, physics or equivalent and want to develop skills at the cutting edge of data science.

This MSc programme will teach you the statistical foundations and computational techniques in data science. It will provide you with a unique set of skills to address data science challenges, for applications ranging from imaging and vision (pathway 1), to ecology and climate (pathway 2), or stochastic modelling (pathway 3).
Four reasons to study MSc Computational Data Science
  • Data scientists, data engineers, and business analysts are among the most sought-after careers and Edinburgh is intended to be the ‘Data Capital of Europe'.
  • Students will acquire unique interdisciplinary knowledge at the interface between the statistical foundations of data science and associated computational techniques.
  • Students will be exposed to specialised applications, ranging from imaging and vision, to ecology and climate, or stochastic modelling.
  • This MSc is run by international leaders in their field.

Fees and funding

See University website

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

Course contact details

Admissions Office