The course

Full-time, Part-time
Course type
Entry date


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Our Applied Data Science master's programme is for you if you have a degree in mathematics, engineering, physics or equivalent and want to learn about the statistical foundations and computational techniques in data science. The programme will provide you with a unique set of skills to address data science challenges in applications ranging from signal and image processing, communications, and robotics, to finance, ecology and complex networks: a sought-after competence in both research and industry. This is a joint MSc programme between the Schools of Mathematical and Computer Sciences and Engineering and Physical Sciences. The two Schools have a multidisciplinary staff team with strong expertise in the field.

Why study the MSc Applied Data Science?

  • Data scientists, data engineers and business analysts are among the most sought-after careers in 2021, and Edinburgh specifically is intended to be the ‘Data Capital of Europe’.
  • You will acquire unique interdisciplinary knowledge at the interface between the statistical foundations of data science and associated computational techniques.
  • You will be exposed to specialised data science applications from signal and image processing, communications, and robotics, to finance, ecology and complex networks.
  • Our programme is run by international leaders in their field.

September 2022 entry

The deadline for applications from Scottish and RUK students is 31 August 2022. For EU and overseas applicants, we guarantee to consider applications submitted by the 8 August 2022.

Course content

Core Courses

  • Statistical Models
  • Statistical Machine Learning
  • Bayesian Inference and Computational Methods
  • Scalable Inference and Deep Learning I
  • Scalable Inference and Deep Learning II

Optional Courses

  • Information Theory and Communications
  • Mathematical Ecology
  • Derivatives Markets and Pricing
  • Probabilistic Methods
  • Multidisciplinary Research Project
  • Critical Analysis and Research Presentation
  • Data Assimilation with Climate Change
  • Stochastic Simulation
  • Stochastic Networks
  • Research and Industry Topics 

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:

  • 14 weeks English (for IELTS of 5.5 with no more than one skill at 4.5);
  • 10 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills);
  • 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)
  • 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)


Additional fees information

Tuition fees for Sept 2022 entry
Status Full-time Part-time
UK tbc tbc
Overseas tbc tbc
  1. Your residency 'status' is usually defined as the country where you have been ordinarily resident for the three years before the start of your course. Find out more about tuition fees.
  2. Overseas includes applications from European Union countries who do not hold Pre-Settled or Settled status in the UK. Read more about the application process for EU nationals.

Scholarships and bursaries

We aim to encourage well-qualified, ambitious students to study with us and we offer a wide variety of scholarships and bursaries to achieve this. Over £6 million worth of opportunities are available in fee and stipend scholarships, and more than 400 students benefit from this support.

View our full range of postgraduate scholarships.