Program Overview

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Data Analytics is an exciting field of rapid developments. Data is everywhere and continuing to grow massively, creating huge growth in demand for qualified experts to be able to extract the real benefit from the data.

The role of a data scientist is highly diverse overlapping many areas from computer science, to the fundamentals of mathematics, statistics, modelling and analytics while also requiring the right skills to be able to see the detail, solve the problem (having specified the problem!), and communicate effectively the findings to colleagues to empower them to make decisions.

The diversity of data analytics opens up many job opportunities from working in software companies, healthcare, banking, insurance, policing, tech companies to applying your knowledge to intelligent buildings and behaviour analytics of customers.

The programme provides a balanced route to learning through a blend of academic study and lab sessions, with a heavy focus on practical engagement with industry. In the first and second semesters, you will study 6 modules full-time which include opportunities for blended and collaborative learning. In the third semester you will undertake a significant industry based project.

PLEASE NOTE:

You may be required to sit an online aptitude test.

Aptitude Tests will be held on the dates below 3-4pm (GMT) for 22/23.

13 October

8 December

9 February

6 April

8 June

6 July

**Applicants must attend their allocated session as notified by the school. Please ensure that you check your junk email folders regularly for communications from the School regarding your application/aptitude test

In addition, a deposit will be required to secure a place. Please see below the deposit deadline schedule:

1. Offer received by 31 December 2022 deposit deadline 31 January 2023

2. Offer received by 31 January 2023 deposit deadline 28 February 2023

3. Offer received by 28 February 2023 deposit deadline 31 March 2023

4. Offer received by 31 March 2023 deposit deadline 30 April 2023

Data Analytics highlights

Please note that applicants may be required to undertake an aptitude test. Decisions will be issued within 10 working days from the date of the aptitude test. In addition, a deposit will be required to secure a place.

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Industry Links

Special features of the course include the Analytics in Action module and the commitment of industry to provide real data for “Analytathons” and projects. The module offers real world examples of data analytics presented by the industry experts working alongside the academics who will provide the theory, and the unique provision of this course across many academic disciplines in the University.

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World Class Facilities

The Frontiers in Analytics module shows off some of latest state-of-the-art techniques analytics in particular in Visual Analytics and Behavioural Analytics.

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Student Experience

This course is unique having been developed from engagement with industry rather than the traditional academic subject areas. The key core skills that a data scientist needs have been clearly defined and forms the basis for the course. As a result, there are no optional modules or choice as it is essential that in order to produce the “all rounded” data scientist that all these skills are packaged into each individual.

The MSc Data Analytics will equip successful candidates for any data scientist role and make them highly marketable for what is now seen as “the sexiest job in the 21st century” as reported by The Harvard Business Review.

Professor Adele Marshall

Programme Founder

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