Course summary
In an era where artificial intelligence (AI) is reshaping every industry, the most valuable leaders are those who can bridge the gap between cutting-edge technology and strategic business vision. Whether you're looking to lead AI implementation in traditional industries, launch AI-driven ventures, or guide teams through the complexities of digital transformation, our MSc AI in Management will equip you with the tech fluency to understand what's possible and the management acumen to make it happen. What makes this course different? Our MSc AI in Management is designed with employability at its core. Throughout the programme, you will gain exceptional exposure to industry through live projects, guest engagements, and our AI Management Lab (AIM Lab). This enables you to showcase your skills directly to employers and connect with organisations actively seeking AI-ready managerial talent. Strategic leadership in an AI world Explore how AI is reshaping organisational roles and creating opportunities in strategy, operations, analytics, governance, and responsible innovation. Develop the insight to decide when to lead with AI, when to follow it, and how to design workplaces where humans and AI collaborate effectively. Gain the strategic, analytical, and ethical capabilities employers demand in an AI-driven world. Technical literacy meets strategic thinking Develop practical AI literacy without needing an advanced programming background. You will gain guided, hands-on experience with AI tools while focusing on understanding key concepts such as machine learning, problem-solving algorithms, and systems thinking applied to real business contexts including supply chain management, HR, and marketing. Industry-focused team projects On the capstone AI in Management Project, you'll build the analytical and collaborative skills employers value through analysing real-world case studies and tackling challenges faced by organisations implementing AI across different industry sectors. Research and career development focus Benefit from dedicated professional development support throughout the programme, with opportunities for individual dissertation work and pathways to further research degrees (MPhil/PhD) for those seeking to advance AI scholarship and innovation. The UK's Second City Based in the West Midlands, Birmingham is home to a professional services sector of over 48,400 companies, and the economy of digital technologies is growing. You'll have access to university initiatives like B-Enterprise and the UoB Elevate incubator, along with an extensive roster of meetups, networking groups and events happening across the region.
Entry requirements
2:1 Honours degree or postgraduate diploma from a UK university or overseas equivalent in any discipline containing a module with a quantitative element, such as Business, Economics, Finance, Accounting, Engineering, Mathematics, Statistics, Science or Commerce. Alternatively, a minimum of GCE A-Level grade B or overseas equivalent in a quantitative subject may be considered to meet the quantitative requirement. Applicants who demonstrate being able to exceed the minimum entry requirements will be given preference. Please note, applicants with a computing degree are not eligible for this programme and are encouraged to apply for MSc Management or MSc Business Analytics. IELTS 6.5 (with no less than 6.0 in any band) TOEFL: 88 overall with no less than 21 in Reading, 20 in Listening, 22 in Speaking and 21 in Writing
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
Provider information
University of Birmingham
Edgbaston
Birmingham
B15 2TT