Offered by the University of Bristol Business School, this programme gives comprehensive grounding in FinTech analytical methods and their practical use in financial markets. It combines finance theory with emerging technologies including artificial intelligence, machine learning, cryptocurrencies and blockchain, building practical skills in programming, statistical analysis and financial modelling for applications such as algorithmic trading and robo-advising.
Course details verified 13 Aug 2026 — intakes, entry requirements and course facts · official source
Intakes & deadlines
Autumn
Closed 13 Aug 2026 — ask us about the next intake
Entry requirements
Prerequisites
Upper second-class honours degree or international equivalent in a quantitative subject (e.g. finance, economics, computer science, engineering, maths, physics); non-quantitative degrees need substantial maths units
Fee sourcedTaken from the university's published fees page, not re-checked since — confirm it before you budget. See the university fees page.
We confirm the exact costs and the scholarships you qualify for at University of Bristol — free, for your profile. Need funding? Check your education-loan eligibility.
Typical graduate salary — Finance, UK
GBP 30,505/yr (median)
· ≈ ₹38.8 L/yr
This is an indicative early-career range for the whole Finance field in UK,
from official graduate-outcome data — not a figure for this programme or university, and not a guarantee of
what you will earn. What you actually earn depends on the role, employer, city and your visa.
Rupee figure converted at the 2 Nov 2026 mid-market rate; your
bank's rate will be worse and currencies move, so use it for planning, not as the amount you will receive.
Tuition is GBP 39,000/yr. Taken from the university's published fees page, not re-checked since — confirm it before you budget. We confirm the current fee and the scholarships you qualify for — free.
The main intake is September. Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.
Upper second-class honours degree or international equivalent in a quantitative subject (e.g. finance, economics, computer science, engineering, maths, physics); non-quantitative degrees need substantial maths units
The programme runs about 12 months full-time.
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