The MSc Data Science will equip you with the skills and knowledge for the next generation of data manipulation and analysis.
Data Science is now one of the most sought after roles in the commercial and academic worlds. So much so that finding a qualified data scientist is known as "hunting the unicorn".
Dundee was the first University in the UK to predict the importance of Data Science and introduced the UK's first Data Science MSc back in 2013. Consequently, we are at the forefront of Data Science study and have more experience of teaching it than any other University in the UK. We also designed our course to be easy to complete part-time and largely remotely.
This MSc will prepare you to become a 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").
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. 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 Post Graduate Certificate.
For part-time students, the course is delivered via a blend of:
- Two weeks of intensive teaching each year on campus, one week in January/February and one week in April/May.
- Distance Learning – for the remainder of the time students work from home.
All the modules for this course were written specifically for it and are not constructed from pre-existing material, ensuring that all modules are relevant and tightly integrated. These modules can also be taken either on a stand-alone basis or as a PGCert.
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!
Data Modeler for Moneysupermarket.com
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).
How you will be taught
The programme will be delivered by Prof. Mark Whitehorn with input from Andy Cobley and other specialists from within Computing in an innovative blend of live co-presented master classes, video seminars and recorded material. Mark is the Emeritus Professor of Analytics at Dundee. He is also a well-known commentator on Data Science subjects and spends about half his time as a Data Scientist in the commercial world, working with banks, insurance companies and software companies like Teradata, Tibco and Microsoft. 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.
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.
The course is normally taken part-time over two years as shown below. If taken full time, all of the modules are taken in the same year.
- Introduction to Data Science - 20 Credits
- Big Data Analysis - 20 Credits
- Analytical Database Models and Design - 20 Credits
- Introduction to Data Mining - 20 Credits
- Programming Languages for Data Science - 20 Credits
- Machine Learning - 20 Credits
- Data Science Mini Project - 20 credits (for PGCert)
- Data Science Research Project - 60 credits
PGCert (Post Graduate Certificate)
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 in 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:
- Introduction to Data Science
- Machine Learning
- 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.
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.
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.
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.
English Language Requirement
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.
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.
|Fee status||Fees for students starting academic year 2019-20|
|Scottish and EU students||£8,350 per year of study (full time)
£4,175 per year of study (part time)
See our scholarships for UK/EU applicants
|Rest of UK students||£8,350 per year of study (full time)
£4,175 per year of study (part time)
See our scholarships for UK/EU applicants
|Overseas students (non-EU)||£20,950 per year of study
See our scholarships for International applicants
You may incur additional costs in the course of your education at the University over and above tuition fees in an academic year.
Examples of additional costs:
|One off cost||Ongoing cost||Incidental cost|
|Graduation fee||Studio fee||Field trips|
*these are examples only and are not exhaustive.
- may be mandatory or optional expenses
- may be one off, ongoing or incidental charges and certain costs may be payable annually for each year of your programme of study
- vary depending on your programme of study
- are payable by you and are non-refundable and non-transferable
Unfortunately, failure to pay additional costs may result in limitations on your student experience.
For additional costs specific to your course please speak to our Enquiry Team.
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.
|Apply now||Data Science MSc||P050673|
|Apply now||Data Science (part time) MSc||P050862|
|Apply now||Data Science PGCert||P050863|
|Apply now||Data Science Individual Module||P050864|
Mr Andrew Cobley
Science and Engineering
+44 (0)1382 385078