A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow).
Graduates who only have the equivalent of A-Level Mathematics can also be admitted to the programme. However such candidates are required to work through self-study material provided and attend a pre-sessional course on Elementary Mathematics (to be taught in the two weeks preceding the start of the teaching period of semester 1).
Previous study of Statistics or Computing Science is not required.
Months of entry
Whether you are looking to start a career in data science or wanting to further develop your current career, our innovative online Masters programme in Data Analytics provides you with vital data science skills. This skills-based, yet rigorous curriculum provides you both with a thorough foundation in the underlying principles of learning from data and practical technical expertise in data handling, visualisation and modelling. The programme uses cutting-edge learning technology to deliver an interactive and collaborative online learning experience.
Why this programme
- The University of Glasgow’s School of Mathematics and Statistics is ranked 3rd in Scotland and 11th in the UK (Complete University Guide 2017).
- The Statistics Group at Glasgow is the largest statistics group in Scotland and internationally renowned for its research excellence.
- Statistics obtained a 100% overall student satisfaction in the National Student Survey 2016. The subject continues to exceed student expectations by combining both teaching excellence and a supportive learning environment.
This flexible part-time programme is completed over three years. In the first two years you will be taking two courses each trimester. In the third year you will be working on a project and dissertation.
The courses are designed to allow you to work at your own pace, with milestones and assessment to be completed according to an agreed timetable.
The programme can be taken alongside full-time employment (around 10 hours of study per week are recommended).
- Stochastic Models and Probability
- Learning from Data
- Predictive Models
- R Programming
- Data Programming in Python
- Data Management and Analytics using SAS
- Advanced Predictive Models
- Data Mining and Machine Learning I: Supervised and Unsupervised Learning
- Data Mining and Machine Learning II: Big and Unstructured Data
- Uncertainty Assessment and Bayesian Computation
- High-performance Computing for Data Analytics
- Data Analytics in Business and Industry
You will also carry out a 60 credit research project.
Online Distance Learning
Online distance learning at the University of Glasgow allows you to benefit from the outstanding educational experience that we are renowned for without having to relocate to our campus. You do not need to have experience of studying online as you will be guided through how to access and use all of our online resources.
Your courses will consist of rich interactive reading material, tutor-led videos and computer-led programming sessions. You will be provided with access to electronic articles and books for background reading. Regular online assessments will allow you to monitor your progress.
Community building and collaborative learning is a key focus of our online delivery and you will be encouraged and supported to interact with your fellow classmates and tutors in a variety of ways.
All you need to participate in this online programme is a computer and internet access.
In the first year of the programme you will need to take three paper-based examinations, held on May 2018 (preliminary dates: May 7th to 9th, 2018). UK-based students will haver to take these examinations in Glasgow. Students from abroad can choose to either travel to Glasgow or take the examination in a local test centre, such as British Council offices. Test centres are subject to approval by the University and the candidate is responsible for any local fees charged by the test centre.
Fees and funding
Online distance learning
- Home / EU / International: £10,500
- £1,167 per 20 credits
- 60 credits per year over 3 years
Fees are subject to change and for guidance only.
Qualification and course duration
Course contact details
- Ludger Evers
- 0141 330 4515