Data Analytics

MSc

Key facts

Start dates

September 2023 / September 2024

Course length

Full time: 12 months

Part time: 2-5 years

Location

Wheatley

Department

School of Engineering, Computing and Mathematics

Overview

With our MSc in Data Analytics you will learn fundamental theory and practice mathematical and statistical modelling. With special reference to data analysis and visualisation.

With recent developments in digital technology, society has entered the era of ‘big data’. The UK  Government recognises big data as one of the eight great technologies. It has priorities for funding and research and will have a pivotal role in rebuilding and strengthening the economy.

The explosion and wealth of available data in a wide range of application domains gives rise to new challenges and opportunities in all areas. One major challenge is how to take advantage of the unprecedented scale of data. And how to gain further insights and knowledge to improve the quality of offered products and services.

We designed the MSc in Data Analytics for those currently in employment. And to run alongside the MSc in Data Analytics for Government. It is available to all students, and is not exclusive to any particular employment sector.

Specific entry requirements

Due to great interest in this course for September 2023 entry, the deadline to receive applications is Wednesday 22 March 2023 for all applicants who will require a visa to study in the UK. As long as we receive your application on or before 22 March 2023 it will be given full consideration. Those not requiring a visa to study in the UK can continue to apply beyond 22 March 2023.

You should normally hold a good (first or second class) degree in the physical or social sciences which has developed analytical knowledge and understanding in mathematical sciences.

Typically this includes candidates with knowledge and familiarity with basic computing, mathematics and statistics concepts and methods at degree level.

Applicants with other qualifications, plus work experience from other fields, who have quantitative skills and familiarity with data analysis and modelling ideas will also be considered.