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Data Analytics (Online Distance Learning) at University of Glasgow - UCAS

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2025 - 20262026 - 2027
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

While the amount of data being produced is proliferating at a staggering rate, the skills to extract information and the value we receive from it are both relatively scarce. If you are looking to start a career in data science, or even further your current career, our Online Data Analytics MSc will provide you with vital skills required to develop your modelling and data handling expertise. You will gain a firm grounding in the principles of learning from data sets, whilst at the same time getting hands-on experience handling, analysing and visualising data. which will help you to realise your true potential while making you in demand in the modern workplace. WHY THIS PROGRAMME

  • The Statistics Group at the University of Glasgow is internationally renowned for its research excellence. Students are able to benefit from this by learning from academics whose expertise covers the analysis of data from a wide range of applications.
  • A faster study route, which lets you complete the programme in two years, is also available.
  • Designed for part time study, this programme allows you to gain an MSc degree from a leading university while you are still in full-time employment. Plus, from day one you can start to put your new knowledge to the test at work. You won't have to wait until you've graduated to make a real difference in the workplace.
  • The Masters in Data Analytics is accredited by the Royal Statistical Society.
  • You'll be studying with a Russell Group University
  • You will have the freedom to work at your own pace and access to a wide range of learning tools including rich interactive reading material and tutor-led videos. You will also be able to arrange tailored one-to-one sessions with our academic team.
PROGRAMME STRUCTURE This flexible part-time programme is completed over three years. In the first two years, you will take two courses each trimester. In the third year, you will work on a project and Dissertation. **MSc and PgDip Core courses (MSc only):** Data Analytics Project (ODL) Core courses: Advanced Predictive Models (ODL) Data Mining and Machine Learning I: Supervised and Unsupervised Learning (ODL) LEARNING FROM DATA (ODL) Predictive Modelling (ODL) R Programming (ODL) Data Analytics in Business and Industry (ODL) Data Management and Analytics using SAS (ODL) Data Mining and Machine Learning II: Big Data and Unstructured Data (ODL) Data Programming in Python (ODL) Large-Scale Computing for Data Analytics (ODL) Uncertainty Assessment and Bayesian Computation (ODL) Probability and Sampling Fundamentals (ODL) **PgCert Core courses:** Learning from Data - Data Science Foundations (ODL) Predictive Modelling (ODL) R Programming (ODL) Probability and Sampling Fundamentals (ODL) Choose two from the following: Advanced Predictive Models (ODL) Data Mining and Machine Learning I: Supervised and Unsupervised Learning (ODL) Data Mining and Machine Learning II: Big Data and Unstructured Data (ODL) Key outcomes Demonstrate thorough understanding of the concepts, principles, theories and methods of probability, statistics and machine learning. Developing strategies for modelling and analysing potentially large and complex data. Communicate and visualise insights gained from data. Design and develop software to perform data management, data extraction, statistical analyses and, as far as possible, automate these, using different tools and programming languages such as R, Python, Spark and TensorFlow.

How to apply

International applicants

Online Distance Learning: Please note that applications for programmes delivered online will be accepted until the commencement of the programmes in September 2019.

Entry requirements

2.1 Hons (or non-UK equivalent) in any subject 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 have A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme. Graduates who achieved 2.2 Hons (or non-UK equivalent), but who have at least two years of relevant professional experience which involved a significant amount of programming, data management, data analysis or mathematical modelling may also be admitted to the programme. Such applicants may be required to complete an interview. Previous study of Statistics or Computing Science is not required.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

All fees are published on the University of Glasgow website. https://www.gla.ac.uk/postgraduate/feesandfunding/

Sponsorship information

Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.

Data Analytics (Online Distance Learning) at University of Glasgow - UCAS