Data Science MSc

  • For Entry: January
  • Duration: 1 year
  • School: School of Computing

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").

Why study Data Science at Dundee?

The School of Computing has been working on 'big data' and data analysis for at least five years. We have also developed new algorithms and techniques for data scientists. We ran the most successful Business Intelligence Masters course in the UK and this course builds on that success.

We have several funded places for 2015.
Scottish or EU fee category students are eligible to apply to have their tuition fees paid in full. See SFC Funding Programmes for more details

Professor Mark Whitehorn and Andy Cobley will lead the course. Mark is an emeritus professor. He runs a successful consultancy company that specialises in BI, data sciences and analytics. Andy is the course organiser.

You will gain knowledge, skills and understanding of data science research and implementation. You will gain skills in professional procedures. This will  ensure that your data science research and implementation is valid and actionable. You will then be able to debate about the role, ethics and utility of data science in commercial and other settings.

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,

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.

What's so good about Data Science at Dundee?

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 allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Postgraduate culture

The School of Computing maintains a friendly, intimate and supportive atmosphere, and we take pride in the fact that we know all of our students - you're far more than just a matriculation number to us. We have a thriving postgraduate department with regular seminars and guest speakers.

Who should study this course?

We are looking for students with:

  • Insatiable curiosity
  • Interdisciplinary interests
  • Excellent communication skills

Degree Combinations

  • Data Science (part time) MSc
  • Data Science PGCert
  • Data Science Individual Module

The programme will be delivered  by Prof. Mark Whitehorn with input from Andy Cobley, Yasmeen Ahmad, Chris Hillman and other specialists from within the School of Computing in an innovative blend of live co-presented master-classes, video seminars and recorded materials. A series of guest speakers from industry will provide case studies across both semesters.

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.


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 Data Science MSc. 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 Anlaysis
  • Mini Project

For more information about the content of the course, please visit the course webpage on the School of Computing website.

Assessment will be by examination, practical coursework and research 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.

Please read the Postgraduate "How to Apply" section for information on how to upload relevant documents to UKPASS before proceeding with your application.

Apply online via UKPASS