12 monthsProgramme duration
30,000 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You will build expertise in core areas such as financial data analytics, corporate finance, investment analysis and financial markets, while gaining advanced insights into specialised areas such as AI and machine learning, FinTech, and sustainable finance.
You will also benefit from dedicated CFA training, personalised career coaching, and hands-on experience with industry-standard platforms such as Bloomberg, LSEG Workspace and Datastream, along with programming tools like Python and R. This unique combination of core knowledge and customisable learning ensures that you graduate with both breadth and depth, making you highly adaptable and competitive in the global financial job market.
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
You will build expertise in core areas such as financial data analytics, corporate finance, investment analysis and financial markets, while gaining advanced insights into specialised areas such as AI and machine learning, FinTech, and sustainable finance.
You will also benefit from dedicated CFA training, personalised career coaching, and hands-on experience with industry-standard platforms such as Bloomberg, LSEG Workspace and Datastream, along with programming tools like Python and R. This unique combination of core knowledge and customisable learning ensures that you graduate with both breadth and depth, making you highly adaptable and competitive in the global financial job market.
Admission Requirements
Academic requirements
2:2 Hons degree (UK or equivalent) in Finance, Accounting, Economics, or another business-related subject.
We assess applicants based on their overall academic performance and typically expect strong results in finance and quantitative modules (e.g., mathematics, statistics). Relevant work experience and/or significant programming skills are also viewed favourably.
Graduates from non-business disciplines with a strong quantitative focus (Mathematics, Engineering, Physics, Computer and Data Science, and related disciplines) are encouraged to apply.
Tuition fees
Domestic
International
Scholarships
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