• For Entry: January
  • Duration: 12 months | 24 months
  • School: Science & Engineering
  • Study Mode: Full Time+Part Time

The MSc Data Science will equip you with the skills and knowledge for the next generation of data storage and analysis.

TEF Gold - Teaching Excellence Framework

There has been a recent upsurge in commercial interest in the new role of "data scientist". This MSc (which can be studied part time or full time) , will prepare you to become  an data scientist, a person who excels at manipulating and analysing data, particularly large data sets that don't fit easily into tabular structures (so-called "Big Data").

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The MSc Data Science at the University of Dundee is unique both in the material it delivers and in the way it is taught. Aimed at people currently working in IT who wish to obtain a formal qualification whilst continuing to work, our program will equip you with the knowledge you need to succeed in Data Science, whether you are already working in the field or you wish to move into this exciting and growing area. 

Aimed at existing professionals who are in employment, the course is usually taken part-time over two years; although it can be taken full time or as stand-alone modules or as a PG Cert.

The course is delivered via a blend of:

  • Distance Learning – all the teaching material is on-line
  • Two weeks of intensive teaching each year, one week in January and one week in April. These intensive weeks of teaching are held on campus.

The modules that comprise the course were written for this course and not constructed from pre-existing material, ensuring that all modules are relevant and tightly integrated.  These modules can be taken either on a stand-alone basis or as a PGCert.


Become an data scientist

Who should study this course?

We are looking for students with:

  • Insatiable curiosity
  • Interdisciplinary interests
  • Excellent communication skills

You’ll be taught by experts in Data Science who work within the industry and also carry out research work at the highest level in the topics covered. These range from ways of handling big data, though OLAP analysis, languages for data science and data mining and machine learning. 

The content was not only engaging, it sparked something in me, it opened doors to worlds I never thought I would visit. 

Not only has the course changed my professional life it has also changed the way I approach learning. Through the MSc I have learnt to research, investigate, try, fail, retry, read some more, retry, document, evidence and it gave me that desire to just keep learning. I met some great people on the course whom I still keep in touch with and it really have given me that feeling that I belong to a community of fellow data-geeks.

Overall this was easily the single-most important, and best, decision I made in my professional life... I have started a journey that I never want to end!

Paul Duffett
Data Modeler for Moneysupermarket.com

What is the difference between Data Science and Business Intelligence?

There is a huge overlap with Business Intelligence.  A BI specialist will need to understand data and data analytics. They have a bias towards understanding data storage in current enterprise operational systems.  They may also design and install an analytical system, such as a data warehouse.  

A data scientist will be less concerned with the design of a data warehouse. They will be more interested in the message the specific sets of data can deliver. They may find it difficult to interrogate data, for its secrets, without some understanding of data warehouses.

If you already have:

  • a strong grounding in Business Intelligence
  • and would like to upgrade your knowledge to include topics from the Data Science MSc,

- then we offer the relevant Data Science modules either on a stand alone basis or as a PGCert.

The course is also available part time. This may suit you if you are already in employment and wish to take a MSc whilst still working full time.


Our facilities

You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allow you access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau.

The University of Dundee, and in particular the School of Science & Engineering, maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students. We have a thriving postgraduate department with regular seminars and guest speakers.

Teaching Excellence Framework (TEF)

The University of Dundee has been given a Gold award – the highest possible rating – in the 2017 Teaching Excellence Framework (TEF).

Read more about the Teaching Excellence Framework

TEF Gold - Teaching Excellence Framework

How you will be taught

The programme will be delivered by Prof. Mark Whitehorn with input from Andy Cobley, Yasmeen Ahmad, Chris Hillman and other specialists from within Computing in an innovative blend of live co-presented master-classes, video seminars and recorded materials. Mark is the Emeritus Professor of Analytics at Dundee. He is also a well-known commentator on the Data Science world and spends about half his time working as a Data Scientist in the commercial world, working with software companies like Teradata, Tibco and Microsoft on their Data Science products. Andy is a Senior Lecturer at the University of Dundee. He's been developing for the web since 1994 and is currently the program Director for the MSc Data Science and MSc Data Engineering at the University.

The programme will be provided predominantly on-campus, with two intensive study weeks in each of the semesters. Other classes may be taken off-campus using the university’s VLE, remote desktop, Adobe Connect and video conferencing systems along with telephone conferencing.

How you will be assessed

Assessment will be by examination, practical coursework and research project.

What you will study


Detailed module information is available online.

Semester 1
  • Big Data - 20 Credits
  • Business Intelligent Systems - 20 Credits
  • Data Analysis and Visualisation - 20 Credits
Semester 2
  • Analytical Database Models and Design - 20 Credits
  • Advanced statistics and data mining - 20 credits
  • MDX - 20 Credits
Semester 3
  • Data Science Mini Project - 20 credits (for Certificate)
  • Data Science Research Project - 60 credits


The PGCert is intended for students who have a strong grounding in Business Intelligence and would like to upgrade their knowledge to include topics from the MSc Data Science. The modules are available stand alone for those who want to take their time studying the material and perhaps build up to a PGCert.

The three modules that make up the PGCert are:

  • Big Data
  • Advanced Analysis
  • Mini Project

Various job sites now report an increase in jobs carrying the title of data scientist. Other career opportunities are in intelligence analysis, data management/database maintenance, data processing manager, database development and research, business intelligence consultant and more.

Simon Assender

Moving from industry to study is a mindset shift. Getting your brain back into study-mode is difficult. One intensive week for a semester may sound like it's too much, but the whole course is set up so professionally, I never found it too much. The structure of the course has been thought of quite carefully with industry in mind. I think the facilities here are much better than my undergraduate university. The wifi is good, the facilities are good too. When we need a tool, Andy or Mark go out and find that tool for a student rate. If the facilities aren't here, they're organised to be here. They're very good at bringing industry experts to speak to us. We're not only learning from professors, but also people on the front line. The benefits to this course for me have started already. There are a lot of people out there who don't know how to do the basics really well. Stuff you learn is applicable straight away. There are not many people out there with the qualification of the application of data science. There are a lot of people with the theory, but not the practical knowledge.

Simon Assender
Freelance - Online Travel

We are scattered all over the country. Data Science courses are offered in London. My colleagues ask me – why would you travel from London? But when I come to Dundee for a week it puts you in a very different mind-set. It's much easier to focus. Being away from your daily life and week is great. The structure of the course is quite good. I couldn't do a course three days a week, but this course is a week intensive: it fits better into a professional's lifestyle. It is a lot easier to arrange for a week. Part-time is mostly targeted for professionals. Most people have done some studies, worked then come back to study.

I'm a consultant and I'm working with clients, so that means a fair bit of travelling while doing this course. Time-wise, sometimes it can be challenging. One of the benefits of this course is you grow a very good network. The tutors are available when you need them. When you commit to it, it's not actually that difficult. You're not on your own. It's not about what you do but how you do it.

Samira Kadkhodaci
Industry consultant

You should have, or expect to have, an honours degree at 2.1 or above, in Computing (or equivalent qualifications). However, if you don't meet this requirement you may still apply in which case you will need to prove that you have equivalent experience in the field in order to be accepted onto the course. All applicants will need to undergo a technical interview to ensure they have the necessary background to undertake the course.

 EU and International qualifications

English Language Requirement

IELTS Overall 6.0
Listening 5.5
Reading 5.5
Writing 6.0
Speaking 5.5

 Equivalent grades from other test providers


English Language Programmes

We offer Pre-Sessional and Foundation Programme(s) throughout the year. These are designed to prepare you for university study in the UK when you have not yet met the language requirements for direct entry onto a degree programme.

 Discover our English Language Programmes

The fees you pay will depend on your fee status. Your fee status is determined by us using the information you provide on your application.

 Find out more about fee status

Fee statusFees for students starting 2018-19
Scottish and EU students £7,950 per year of study
See our scholarships for UK/EU applicants
Rest of UK students £7,950 per year of study
See our scholarships for UK/EU applicants
Overseas students (non-EU) £19,950 per year of study
See our scholarships for international applicants

You apply for this course via the UCAS Postgraduate website which is free of charge. You can check the progress of your application online and you can also make multiple applications.

You'll need to upload relevant documents as part of your application. Please read the how to apply page before you apply to find out about what you'll need.

  Degree Course code
Apply nowData Science MScP050673
Apply nowData Science (part time) MScP050862
Apply nowData Science PGCertP050863
Apply nowData Science Individual ModuleP050864

Course Contact

Mr Andrew Cobley
Science and Engineering
+44 (0)1382 385078