Data Analytics (Online Distance Learning) (Taught)

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)