MSc Artificial Intelligence & Data Science / Postgraduate

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

Award:	MSc Artificial Intelligence & Data Science (Subject to Approval)
Location:	St Katharine Docks, London
Study mode:	Full-Time or Part-Time
Duration:	One year (FT) or two years (PT)
Start date:	6th September 2023 (see academic calendar) 8th January 2024
Annual tuition fees:	Home: £11,000 (FT) /£5,500 (PT) International: £23,000 (FT) / £11,5000 (PT) Northeastern University London Alumni Fees Discount: 20%
Scholarship:	September 2023 cohort Home: £1,500 International: £3,500 January 2024 cohort Home: £1,000 International: £2,500
Funding:	Postgraduate loan available
Timetables:	Click here
Programme Specifications:	Subject to approval

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

By studying this programme, learners will gain an in-depth understanding of the statistical and mathematical foundations of AI and achieve advanced practical knowledge of AI and machine learning methodologies applied to complex datasets to meet business objectives.

Suitable for recent graduates and for those looking to retrain or restart careers, the MSc Artificial Intelligence & Data Science provides an ideal pathway for those aspiring to further their career in the advanced application of artificial intelligence (AI) and data specialisms. Learners will have the opportunity to further their career from day one of the programme by gaining professional skills, status and accreditation as they progress.

We welcome learners from all backgrounds, and are committed to lifelong learning, pastoral support and to providing routes into digital careers for all graduates, especially those from groups that are currently underrepresented in the technology sector. Employers need to build teams with a diversity of thought and experience because this is both a critical factor in innovative thinking within teams and will facilitate the delivery of solutions applicable to an inclusive society.

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. Read more

The MSc award is 180 credits.

Each course, typically 15 credits, is assessed by a range of activities aligned to industry norms, meaning that almost all assessments align with typical workplace activities that are expected in an AI and data-related occupation. The content, and consequently the learning outcomes and methods of assessment, vary between courses.

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

Our Masters programmes are demanding and we advise students that, if they intend to work alongside the course, their work should be flexible in nature. However, we will work with students, where possible taking into account their individual circumstances and need, to be flexible with our provisions.

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.