The course

Delivery
Full-time, Part-time
Course type
Taught
Location
Edinburgh
Entry date
September

Contact

Got questions about this programme?

Contact our enquiries team.

Overview

This MSc programme is for students with a degree in mathematics, engineering, physics or equivalent who want to learn about the statistical foundations and computational techniques in data science. The programme will provide students with a unique set of skills to address data science challenges, for applications ranging from imaging and vision, to ecology and climate, or stochastic modelling. This is a joint MSc programme between the Schools of Mathematical and Computer Sciences (MACS), and Engineering and Physical Sciences (EPS). The two Schools have a multidisciplinary staff team with strong expertise in the field.

Why study the MSc Computational Data Science?

  • Data scientists, data engineers and business analysts are among the most sought-after careers, and Edinburgh specifically 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

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

All students are required to take a total of 3 mandatory courses in Semesters 1 and 2 which are designed to equip students with the foundational tools of data science, with a first clear opening to applications, as well as with fundamentals of critical analysis and research preparation.

Semester 1

  • Statistical Models
  • Statistical Machine Learning
  • Optimisation and Deep Learning for Imagining and Vision I

Semester 2

  • Optimisation and Deep Learning for Imagining and Vision II
  • Critical Analysis and Research Preparation 
  • Bayesian Interface and Computational Methods 

Optional Courses

Students will be requested to choose one additional course per semester. These may be grouped into three separate pairs, providing three clear application pathways for the students: imaging and vision, ecology and climate, stochastic modelling. Students however are allowed to choose courses from different pathways, as long as pre-requisites are met.

Pathway: Imaging and Vision 

  • Semester 1 - Foundations of Learning and Computer Vision
  • Semester 2 - Graph Methods for Imagining, Vision and Computing

Pathway: Ecology and Climate

  • Semester 1 - Mathematical Ecology 
  • Semester 2 - Data Assimilation 

Pathway: Stochastic Modelling

  • Semester 1 - Probabilistic Methods 
  • Semester 2 - Stochastic Networks 

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)

Fees

Tuition fees for entry
Status Full-time Part-time
UK £9000 £4500
Overseas £20808 £10404

Footnotes

  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.

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.