POSTGRADUATE TAUGHT DATA ANALYTICS MSC

Postgraduate programme

POSTGRADUATE TAUGHT DATA ANALYTICS MSC

Offered by UNIVERSITY OF GLASGOW

ON-CAMPUS: GLASGOW Direct university enquiry No obligation

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Programme overview

Why choose this programme?

Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in state-of-the art methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects. Previous study of Statistics or Computing Science is not required.
Why this programme

- Our expertise spans topics including: biostatistics and statistical genetics environmental statistics statistical methodology statistical modelling and the scholarship of learning and teaching in statistics.
- The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
- We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.
- The Masters in Data Analytics is accredited by the Royal Statistical Society.
- This programme qualifies for the prestigious Data Lab Masters Scholarships, available for Scottish students.

Watch a class

- You can get a taste of this programme by watching a mini lecture from the Data Analysis Skills course which is taught in Semester 2 of this programme.
Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

Modality

ON-CAMPUS: GLASGOW

Entry requirements

2.1 Hons (or non-UK equivalent) in A degree 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) with at least 20% of credit bearing modules in University Level Mathematics at an average grade of pass.

Note that the mathematics component must be at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow.

Please note this course is aimed at those from a maths/stats background. Those with a computing background may wish to apply for our Data Science programme instead.

Dates and duration

12 months

Next Date: September

Career opportunities

Where this programme can take you


Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

SYLLABUS

Semester 1

Core courses

- Probability (Level M)
- Regression Models (Level M)
- Statistical Inference (Level M)
- Databases and Data Analytics (M)
- Introduction to statistical programming in R and Python

Semester 2

Core courses

- Advanced Predictive Models
- Bayesian Statistics (Level M)
- Big Data Analytics (Level M)
- Data Analysis Skills (Level M)
- Data Mining and Machine Learning

Optional courses (choose 1)

- Information Visualisation (M)
- Environmental and Ecological Statistics (Level M)
- Spatial Statistics (Level M)
- Statistical Genetics (Level M)
- Functional Data Analysis (Level M)
- Design of Experiments (Level M)

Project (summer)

One of:

- Statistics Project and Dissertation
- Statistics Project and Dissertation (with Placement)

Programme alteration or discontinuation

The University of Glasgow endeavours to run all programmes as advertised. In exceptional circumstances, however, the University may withdraw or alter a programme. For more information, please see: Student contract.