12 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You’ll learn the technical expertise, critical awareness, and ethical understanding necessary to apply AI across a wide variety of domains. You’ll get hands-on experience with programming, data handling, and modelling tools, and engage with the wider opportunities and challenges associated with AI, including issues of governance, communication, and societal impact. Undertaking a substantial research project will support the development of independent research skills.
You’ll develop a solid foundation in AI models and computational techniques, and the ability to critically evaluate and apply AI and AI outputs and data-driven approaches to complex problems across business, government, and society.
Complementing this, you’ll learn about the latest research and practice in management, across core areas like marketing and human resources. This will help you evaluate the social, economic and environmental implications of management decision making in a range of sectoral and international contexts.
You’ll develop key transferable skills, including the ability to communicate complex methods and results effectively to diverse audiences, both specialist and non-specialist and an understanding of how to deploy technologies responsibly.
As a graduate of the programme you’ll be well-prepared for employment in the AI and data science sectors, with the ability to contribute to solving pressing global challenges and to lead in the responsible and effective application of artificial intelligence.
Programme overview
Main Subject
Business and Management Studies
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You’ll learn the technical expertise, critical awareness, and ethical understanding necessary to apply AI across a wide variety of domains. You’ll get hands-on experience with programming, data handling, and modelling tools, and engage with the wider opportunities and challenges associated with AI, including issues of governance, communication, and societal impact. Undertaking a substantial research project will support the development of independent research skills.
You’ll develop a solid foundation in AI models and computational techniques, and the ability to critically evaluate and apply AI and AI outputs and data-driven approaches to complex problems across business, government, and society.
Complementing this, you’ll learn about the latest research and practice in management, across core areas like marketing and human resources. This will help you evaluate the social, economic and environmental implications of management decision making in a range of sectoral and international contexts.
You’ll develop key transferable skills, including the ability to communicate complex methods and results effectively to diverse audiences, both specialist and non-specialist and an understanding of how to deploy technologies responsibly.
As a graduate of the programme you’ll be well-prepared for employment in the AI and data science sectors, with the ability to contribute to solving pressing global challenges and to lead in the responsible and effective application of artificial intelligence.
Admission Requirements
In order to be considered for an offer for this programme you will need to meet all of the entry requirements. Your application will not be progressed if the information and evidence listed is not provided.
With your online application you will need to provide:
- A copy of your degree certificate and transcripts which show you have achieved a 2:2 honours degree in any subject*, or an equivalent international degree or relevant professional experience.
*We welcome applicants from a wide range of backgrounds who have received quantitative skills training as part of their undergraduate programme or professional experience. This may be demonstrated by having studied a science-based degree or one that includes a quantitative component.
For other degrees, applicants will need to demonstrate the following:
• A Year 12 or 13 High School qualifications in Mathematics (such as an A-level) with a pass.
• For applicants who do not have a degree, their application may be considered on the basis of professional experience. - A copy of your IELTS certificate with an overall score of 6.5 with 5.5 in all subskills, or evidence of an accepted equivalent. Please include the date of your expected test if this qualification is pending. If you have alternative acceptable evidence, such as an undergraduate degree studied in the UK, please supply this in place of an IELTS.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
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