MSc Artificial Intelligence for Business

Tuition fee
Apply by
Start date
Sep 2026
Oct 2026
Feb 2027
Apr 2027
Duration
1 Year
2 Years
Campus
ULaw Birmingham Campus
ULaw London Moorgate Campus
ULaw Manchester Campus
ULaw Online Campus
Mode of study
Full Time
Part Time
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 days after your application is submitted
Backlogs accepted
This course allows a maximum of 60 backlogs
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Course Overview

Stand out from the crowd in an exciting and fast growing career landscape with our new Master’s degree in Artificial Intelligence for Business.

Key Program Highlights

  • A professional Careers and Employability Service: from day one to beyond graduation , we'll help you become more employable with support from our expert employability service and careers advisers.
  • Quality of teaching: you'll work on real-life case studies, taught by business specialists with industry expertise in business analytics.
  • Help to support your tuition fees: we have business scholarships and bursaries and can guide you on postgraduate fees and funding .
  • Amount of support: our range of student advisors and academic coaches, support apps and student support services help our domestic and international students .
  • Flexible course format: study full-time, part-time, on-campus or 100% online with a learning model that encourages independent and deep learning, shared modules for greater networking and clear time demands.

Requirements

The requirements may vary based on your selected study options.





















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Tuition fee
Apply by
Start date
Sep 2026
Oct 2026
Feb 2027
Apr 2027
Duration
1 Year
2 Years
Campus
ULaw Birmingham Campus
ULaw London Moorgate Campus
ULaw Manchester Campus
ULaw Online Campus
Mode of study
Full Time
Part Time
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
3 days after your application is submitted
Backlogs accepted
This course allows a maximum of 60 backlogs