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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)

Location:

St Katharine Docks, London or Online Learning

 

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:

Home: Postgraduate loan available

Faculty & Research:

Experiential Digital Global Education

Programme Specifications:

Click here

Timetables:

Click here

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

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. 

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

We deliver our learning for this degree in modular courses based on each individual’s prior knowledge, skills, and experience. We offer multiple start times throughout the year, learning through block sessions, online courses, assignments and project work. 

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.