MSc Artificial Intelligence & Data Analytics
The MSc Artificial Intelligence & Data Analytics programme is designed to support the career development of AI and data science professionals by providing graduates with the in-depth knowledge, skills and experience that are required by businesses and organisations in the technology sector.
Summary
Award: | MSc Artificial Intelligence & Data Analytics |
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Location: | |
Study mode: | Full-Time or Part-Time |
Duration: | One year (FT) or two years (PT) |
Start date: | 6 January 2025 |
Annual tuition fees: | Home: £11,385 (FT) /£5,695 (PT) International: £23,805 (FT) / £11,905 (PT) |
Funding for January 2025: | Home Students
International Students
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Timetables: | |
Programme Specifications: |
Summary
Our MSc Artificial Intelligence and Data Analytics will enable students to specialise in AI and Data Analytics to work in an economy where this skill set is greatly needed. Students will build on their previous computational expertise and acquire the skills they need to become AI and Data specialists with commercial awareness. Read more
Degree Overview
The MSc Artificial Intelligence and Data Analytics will develop professional practice, contextualised to the relevant business environment using industry-standard technologies and approaches that are shaped by modern businesses. Students studying this programme are likely to be working, or aspiring to work, in roles that focus on the AI and data analytics aspect within a business context. They will learn how to analyse and interpret data to identify trends and patterns, using statistical and visualisation tools, to provide insights that can be used to improve business processes, operations, and decision-making. Read more
Part-time study
The Masters programme can be taken part-time over two years. Part-time students attend the same classes as their full-time colleagues, taking 50% of the course load each academic year. Read more
Timetables
Timetables are usually made available to students during Freshers’ Week. Teaching can be scheduled to take place during any day of the week. However, when possible, Wednesday afternoons are usually reserved for sports and cultural activities.
Career Outcomes
In their daily work, an employee in this occupation interacts with a broad spectrum of people and collaborates with, and provides technical authority and insight to, a diverse business community of Senior Leaders, Data Scientists, Data Engineers, Statisticians, Analysts, Research and Development Scientists and Academics. Their interactions extend to working externally alongside other organisations, such as local and international governments, businesses, policy regulators, academic research scientists and non-technical audiences. They will work independently and collaboratively as required, reporting to Heads of Data, Chief Architects, Company Directors, Product Managers and senior decision-makers within any organisation.