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

University of Glasgow

Degree level: Postgraduate

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

Course options

2024 - 2025
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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. Analytics and data-driven decisioning is playing an increasingly important role in the economy, society and public administration. Designed together with the Office for National Statistics, our MSc in Online Data Analytics for Government is based on our successful online MSc programme in Data Analytics and 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, helping your organisation to maximise the insights and value extracted from its data. 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're 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, and a slower study route, which lets you complete the programme in four 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 usually completed over three years. In the first two years, you will take two courses each trimester. If you are doing the MSc, in the third year you will undertake a project and dissertation. Core Courses (MSc / PgDip) - see course page for descriptions SAMPLING FUNDAMENTALS (10 credits) STATISTICAL COMPUTING (10 credits) DATA SCIENCE FOUNDATIONS (10 credits) PREDICTIVE MODELLING (ODL) (10 credits) ADVANCED PREDICTIVE MODELS (ODL) (10 credits) STATISTICS IN GOVERNMENT (10 credits) DATA PROGRAMMING IN PYTHON (ODL) (10 credits) UNCERTAINTY ASSESSMENT AND BAYESIAN COMPUTATION (ODL) (10 credits) INTRODUCTION TO SURVEY RESEARCH (10 credits) DATA MINING AND MACHINE LEARNING I: SUPERVISED AND UNSUPERVISED LEARNING (ODL) (10 credits) DATA MINING AND MACHINE LEARNING II: BIG DATA AND UNSTRUCTURED DATA (ODL) (10 credits) LARGE-SCALE COMPUTING FOR DATA ANALYTICS (ODL) (10 credits) DATA ANALYTICS PROJECT (ODL) (60 credits) (MSc only) PgCert Students studying for the PgCert only will take the following courses: Core Courses SAMPLING FUNDAMENTALS STATISTICAL COMPUTING DATA SCIENCE FOUNDATIONS PREDICTIVE MODELLING (ODL) STATISTICS IN GOVERNMENT Optional Courses 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) As part of the framework agreement with the Office of National Statistics, learners sponsored by UK public sector bodies can also enrol for individual courses.

How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'.

Entry requirements

To be accepted for this programme, you must have: 1. 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. 2. 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

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