MSc Data Analytics

First Class Honours degree or a high 2:1 undergraduate degree. The degree must be in Computer Science, Mathematics, Statistics, Physics, or another relevant quantitatively focused degree.

For fees and funding options, please visit website to find out more

We offer a variety of postgraduate funding options for study at the University of Warwick, from postgraduate loans, university scholarships, fee awards, to academic department bursaries.

Graduates from these courses have gone on to work for employers including BAE Systems Applied Intelligence; Barclays; Brainlabs; Dell EMC; Huawei Technologies Co Ltd; JPMorgan; KPMG; Play Station; and UBS.

Our graduates have pursued roles such as: business and related associate professionals; finance and investment analysts and advisers; IT business analysts, systems designers; management consultants and business analysts; programmers and software development professionals.

Our department has a dedicated professionally qualified Senior Careers Consultant offering impartial advice and guidance together with workshops and events throughout the year. Previous examples of workshops and events include:

• Computing Your Career
• Technology in Professional Services
• Warwick careers fairs throughout the year
• Working in the Computer Games Industry
• Computer Science Alumni Event

Core modules

Dissertation Project in Data Analytics

The dissertation is intended to give you the opportunity to consolidate the knowledge that you have acquired during the first half of the MSc, and to undertake a research-led project. You will be expected to carry out a significant development exercise, either in the form of a research project or a knowledge transfer project that applies recent research and the advanced topics taught in the first half of the course.

Research Methods

The module aims to facilitate the acquisition of a range of research methods, ensure that you are aware of the legal framework within which research is conducted, and that you are sensitive to the social and ethical issues which affect Computer Science/Data Analytics research.

Foundations of Data Analytics

You will study techniques for how to go from raw data to a deeper understanding of the patterns and structures within the data, to support making predictions and decisions.

Foundations of Computing

The aim of the module is to equip you with a grounding in foundations of computing and to enable you to confidently undertake a taught Master's programme in advanced computing topics.

Data Mining

The module will focus on foundational concepts underlying data mining and it will introduce you to algorithms commonly used in data mining tools. You will also explore application of these tools to real-world problems.

Optional modules

Optional modules can vary from year to year. Example optional modules may include:

• High Performance Computing
• Algorithmic Game Theory
• Image and Video Analysis
• Agent Based Systems
• Sensor Networks and Mobile Data Communications
• Advanced Computer Security
• Social Informatics
• Natural Language Processing