Course summary

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 24/25. 12 October 7 December 8 February 4 April 6 June 4 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 2023 deposit deadline 31 January 2024 2. Offer received by 31 January 2024 deposit deadline 28 February 2024 3. Offer received by 28 February 2024 deposit deadline 31 March 2024 4. Offer received by 31 March 2024 deposit deadline 30 April 2024