12 monthsProgramme duration
40,000 GBPTuition Fee/year
SepStarting Month
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Computational Finance MSc will introduce you to the computational methods that are widely used by practitioners and financial institutions in today’s markets.
This course will provide you with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling.
These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency timescales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and cryptocurrencies.
Key benefits
This course will provide you with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling.
These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency timescales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and cryptocurrencies.
Key benefits
- 6th in the UK for Computer Science (QS World Rankings 2025).
- The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
- You'll interact with world-class experts in many exciting areas of Computer Science, including Algorithms and Data Analysis, Cybersecurity, Human-Centred Computing and Software Systems.
- You'll study a wide-range of innovative modules, covering both the theory and practice of modern Computer Science.
- Friendly and supportive learning environment, with students from across the globe.
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Computational Finance MSc will introduce you to the computational methods that are widely used by practitioners and financial institutions in today’s markets.
This course will provide you with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling.
These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency timescales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and cryptocurrencies.
Key benefits
This course will provide you with a solid foundation not only in traditional quantitative methods and financial instruments, but also scientific computing, numerical methods, high-performance computing, distributed ledgers, big-data analytics and agent-based modelling.
These techniques will be used to understand financial markets from a post-crisis perspective which incorporates findings from the study of financial markets at high-frequency timescales, modern approaches to understanding systematic risk and financial contagion, and disruptive technologies such as distributed-ledgers and cryptocurrencies.
Key benefits
- 6th in the UK for Computer Science (QS World Rankings 2025).
- The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.
- You'll interact with world-class experts in many exciting areas of Computer Science, including Algorithms and Data Analysis, Cybersecurity, Human-Centred Computing and Software Systems.
- You'll study a wide-range of innovative modules, covering both the theory and practice of modern Computer Science.
- Friendly and supportive learning environment, with students from across the globe.
Admission Requirements
100+
69+
7+
185+
3.5+
A Bachelor's degree with a high (minimum of 65%) 2:1 honours (or international equivalent) in Computer Science or another relevant quantitative discipline (such as Mathematics, Statistics, Physics, Natural Science, Electronic Engineering, General Engineering, Operations Research, or a joint degree in two such subjects).
Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, linear algebra, vectors and matrix mathematics. In addition, applicants should be competent in computer programming, close to the level expected at the end of the first year of a BSc honours degree in computer science.
Applicants should also have a sound background in basic mathematics, in particular familiarity with standard concepts of calculus, trigonometry, linear algebra, vectors and matrix mathematics. In addition, applicants should be competent in computer programming, close to the level expected at the end of the first year of a BSc honours degree in computer science.
1 Year
Sep
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
16,950 GBP
International
40,000 GBP
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