Applied Artificial Intelligence

Program Overview

MSc APPLIED ARTIFICIAL INTELLIGENCE

Overview

Artificial Intelligence is becoming increasingly common in the modern world and there is a constant and sustained need for professionals who have the expertise and training needed to understand AI technologies and to use them responsibly. Additionally, from a societal perspective, it is crucial that citizens of the future have a basic understanding of AI concepts so that they can engage both effectively and critically with AI systems which are becoming a constant presence in our daily lives

To meet the growing need for AI, experts and AI-educated professionals this MSc in Applied Artificial Intelligence aims to convert graduates into AI specialists who are able to meet the demands of industry and society in AI, with particular emphasis on crucial areas such as smart manufacturing and industry 4.0, natural language processing and computer vision.

The course is uniquely designed for both graduates or practitioners from a computing and non-computing background, wishing to pursue a career in the development of machine learning and artificial intelligence solutions to practical problems and addresses the latest developments in machine learning and artificial intelligence through a rich series of seminars from experts in the field.

Work placement options are available from September 2025!

The work placement option is seeking accreditation from the British Computer Society (The Chartered Institute for Information Technology).

Mode | Duration | Start date | Application code | Application method

• Full-time | 2 years | January | 5795 | Direct to LSBU
• Full-time | 1 year | September | 5794 | Direct to LSBU
• Part-time | 2 years | September | 5796 | Direct to LSBU
• Full-time | 2 years (with placement) | September | 6043 | Direct to LSBU
• Full-time | 3 years (with placement) | January | 6044 | Direct to LSBU

Course Accreditations

• British Computer Society (The Chartered Institute for Information Technology)

Location

• Southwark Campus

London South Bank University student union is located at 103 Borough Rd, London SE1 0AA.

If you are visiting our Southwark Campus, you may wish to use our downloadable campus map (PNG File 466 KB). For information on accessibility, see our DisabledGo access guides. See our location page for more details.

Entry Level Requirements

• UK Qualifications:
  • 2:2 UK honours first degree or international equivalent in any subject
  • A GCSE Grade 4 in Mathematics or equivalent
  • A GCSE Grade 4 in English or equivalent
  • We recognise that many people have a wealth of valuable skills and knowledge they've developed at work or through training. If candidates have the potential to succeed in postgraduate or post-experience studies we'll consider their application on its individual merit. Applications may be considered where candidates demonstrate a combination of educational qualifications and work experience.
  • We welcome qualifications from around the world. English language qualifications for international students: IELTS score of 6.5.
  • After admission, prospective students can apply for the accreditation of prior experiential learning (APEL), following the approved School of Engineering procedure.

International Qualifications

• Select country here:
  • Afghanistan
  • Albania
  • Algeria
  • Angola
  • Argentina
  • Australia
  • Austria
  • Azerbaijan
  • Bahrain
  • Bangladesh
  • Barbados
  • Belgium
  • Botswana
  • Brazil
  • Bulgaria
  • Cambodia
  • Cameroon
  • Canada
  • Chile
  • China
  • Colombia
  • Croatia
  • Cyprus
  • Czech Republic
  • Denmark
  • Dominican Republic
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  • Estonia
  • Ethiopia
  • Finland
  • France
  • Gambia
  • Georgia
  • Germany
  • Ghana
  • Greece
  • Hong Kong
  • Hungary
  • India
  • Indonesia
  • Iran
  • Iraq
  • Ireland
  • Italy
  • Jamaica
  • Japan
  • Jordan
  • Kazakhstan
  • Kenya
  • Kuwait
  • Latvia
  • Lebanon
  • Libya
  • Lithuania
  • Luxembourg
  • Malaysia
  • Malta
  • Mauritius
  • Mexico
  • Mongolia
  • Morocco
  • Myanmar
  • Nepal
  • Netherlands
  • New Zealand
  • Nigeria
  • Norway
  • Oman
  • Pakistan
  • Poland
  • Portugal
  • Qatar
  • Romania
  • Russian Federation
  • Saudi Arabia
  • Senegal
  • Serbia
  • Sierra Leone
  • Singapore
  • Slovakia
  • Slovenia
  • Somalia
  • South Africa
  • South Korea
  • Spain
  • Sri Lanka
  • Sweden
  • Switzerland
  • Taiwan
  • Thailand
  • Trinidad and Tobago
  • Tunisia
  • Turkiye
  • Uganda
  • Ukraine
  • United Arab Emirates
  • United States of America
  • Uzbekistan
  • Venezuela
  • Vietnam
  • Zambia
  • Zimbabwe

Fees

• UK fee: £12,500
• International fee: £18,600

Part-time

• Year 1:
  • UK fee: £5,555.56
  • International fee: £8,266.67
• Year 2:
  • UK fee: £6,944.44
  • International fee: £10,333.33

Full-time

• Year 1:
  • UK fee: £12,500
  • International fee: £18,600

Course Content

• Foundations of calculus, statistics, and optimization
• Python programming for AI and Visualization
• Machine Learning
• Deep Learning
• Industrial Cyber-Physical Systems
• Natural Language Processing
• Computer Vision
• Future Internet Technologies
• Data Management
• Data Mining and Analysis
• Robotics
• Ethics in AI and Seminars
• Research Methods
• Dissertation

Careers

• Career opportunities range from IT services to business consultancy, and this course will prepare you for a career in the business intelligence community working actively with a range of resources including tools from major commercial vendors such as Microsoft and SAS.
• As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.

Employability Service

• At LSBU, we want to set you up for a successful career. During your studies – and for two years after you graduate – you’ll have access to our Employability Service, which includes:
  • An online board where you can see a wide range of placements: part-time, full-time or voluntary. You can also drop in to see our Job Shop advisers, who are always available to help you take the next step in your search.
  • Our Careers Gym offering group workshops on CVs, interview techniques and finding work experience, as well as regular presentations from employers across a range of sectors.

Contact information

• Course Enquiries - UK:
• Tel:

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