Data Analytics MSc/PgDip/PgCert: Online distance learning at University of Glasgow - UCAS

University of Glasgow

Degree level: Postgraduate

Data Analytics MSc/PgDip/PgCert: Online distance learning (Taught)

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. Both Artificial Intelligence and Analytical Reasoning are among the top three most-in demand hard skills (LinkedIn, 2019). 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.
  • 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.
  • A faster study route, which lets you complete the programme in two years, is also available.
  • 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. Students can choose PROBABILITY AND SAMPLING FUNDAMENTALS (ODL) instead of PROBABILITY AND STOCHASTIC MODELS (ODL). Core Courses ADVANCED PREDICTIVE MODELS (ODL) DATA MINING AND MACHINE LEARNING I: SUPERVISED AND UNSUPERVISED LEARNING (ODL) LEARNING FROM DATA - DATA SCIENCE FOUNDATIONS (ODL) PREDICTIVE MODELLING (ODL) PROBABILITY AND STOCHASTIC MODELS (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) DATA ANALYTICS PROJECT (ODL)


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

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 A-Level or Higher Mathematics, or equivalent, may also be admitted to the programme, however only subject to successfully completing an assessment of their mathematical skills before being admitted to the programme. Training material which prepares students for the assessment will be made available to applicants. Graduates who achieved a degree classification equivalent to a UK lower second class honours degree, or similar, but who have substantial experience in a profession which involved a significant amount of programming, data management, data analysis or mathematical modelling might be also admitted to be programme. Such applicants might also be required to successfully complete an interview (as well as successfully completing the assessment of their mathematical skills, if required). Previous study of Statistics or Computing Science is not required.


Fees and funding

Tuition fees

No fee information has been provided for this course

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 MSc/PgDip/PgCert: Online distance learning at University of Glasgow - UCAS