MSc Artificial Intelligence & Data Science
The MSc Artificial Intelligence & Data Science 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.
MSc Artificial Intelligence & Data Science (subject to approval)
Award: | MSc Artificial Intelligence & Data Science (subject to approval) |
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Location: | St Katharine Docks, London or Online Learning
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Study mode: | Full-time or part-time |
Duration: | One year (FT) or two years (PT) |
Start date: | 6th September 2023 (see academic calendar) January 2024 |
Annual tuition fees:: | Home: £11,000 (FT) / £5,500 (PT) International: £23,000 (FT)/ £11,500 (PT) Northeastern University London Alumni Fees Discount: 20% |
Scholarships: | September 2023 cohort Home: £1,500 International: £3,500 January 2024 cohort Home: £1,000 International: £2,500 |
Graduate Route Post Study Work Visa: | Eligible |
Funding: | |
Faculty & Research: | Experiential Digital Global Education |
Programme Specifications: | |
Timetables: | |
Your Qualifications: | Coming soon |
Summary
Our MSc Artificial Intelligence & Data Science offers a programme of study that has been 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. Read more
Degree Overview
The MSc Artificial Intelligence & Data Science will develop professional practice, contextualised to the workplace using industry-standard technologies and approaches that are shaped by modern businesses. Learners studying this programme are likely to be working, or aspiring to work, in roles that focus on the advanced application of artificial intelligence (AI) and data specialisms within a business context.
Approach to Learning
The structure of this programme allows students to learn at the highest level and progress into higher-skilled occupations. Our programme has been built with an employer group to ensure that learners can be more productive at work as soon as possible, getting involved in activities at work to embed the knowledge, skills, experience and behaviours learned throughout the degree programme. Read more
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.