THE UNIVERSITY of EDINBURGH

DEGREE REGULATIONS & PROGRAMMES OF STUDY 2026/2027

Draft Edition - Due to be published Thursday 9th April 2026

Timetable information in the Course Catalogue may be subject to change.
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Degree Programme Table: Finance, Technology and Policy (MSc) - 1 Year (Full-time) (PTMSCFITEP1F)

Jump to: Year 1

Year 1 Academic year: 2026/27, Starting in: September

Compulsory courses

You must take these courses
Python Programming

Must be taken during Semester 1

MATH11199 10 credits
Financial Valuation

Must be taken during Semester 1

CMSE11403 10 credits
Financial Markets and Investment

Must be taken during Semester 1

CMSE11407 10 credits
FinTech Infrastructures and Policy

Must be taken during Semester 1

CMSE11645 20 credits
Principles of Data Analytics

Must be taken during Block 1 (Sem 1)

CMSE11432 10 credits
Financial Market Microstructure

Must be taken during Semester 2

CMSE11685 20 credits
Machine Learning in Financial Services

Must be taken during Semester 2

INFR11284 20 credits
Dissertation (MSc Finance, Technology and Policy)

Must be passed at 50% and taken during Block 5 (Sem 2) and beyond

CMSE11411 60 credits

Course options

MSc FinTech Semester 2 Option Courses

Select exactly 20 credits of the following courses
Notes:
The following courses represent the semester 2 option course selection for the 2026/27 programme. Not all option courses will run in a particular year and are subject to change and/or demand.

Courses may run over the full semester or in 5 week blocks. Review individual course descriptors for the semester delivery information and any pre- or co-requisites.
Blockchain and Cryptofinance
CMSE11437 10 credits
Blockchain, Governance and Policy
CMSE11440 10 credits
Pattern Recognition in Financial Data
CMSE11527 20 credits
Technology Entrepreneurship and Commercialisation
CMSE11576 10 credits
Economic Principles of Blockchain and Cryptocurrencies
CMSE11628 10 credits
Investment Management
CMSE11665 20 credits
Financial Markets Applications of Deep and Reinforcement Learning
CMSE11687 10 credits
Ethics of Artificial Intelligence
PHIL11186 20 credits
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