12 monthsProgramme duration
52,600 GBPTuition Fee/year
22 Mar, 2027Application Deadline
SepStarting Month
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This fast-paced one-year MSc provides the technical foundation for a career in quantitative finance.
As the financial sector becomes increasingly sophisticated, there is a high demand for interdisciplinary experts whose skills span mathematics, finance, computer science, and statistics. This includes a growing demand for specialists trained in computational statistics, machine learning and artificial intelligence
At UCL Computer Science, a world-renowned centre for computational finance and machine learning, you will develop these advanced quantitative, modelling and programming skills while learning alongside leading academics and experts in the field.
The core topics covered in Computational Finance MSc are financial engineering, numerical methods, data science, and machine learning for finance. In addition to these, we offer optional modules in probability theory and stochastic processes, market and credit risk, market microstructure, algorithmic trading, numerical optimisation, networks and systemic risk, financial institutions and markets, blockchain technologies, applied computational finance, advanced machine learning, and others.
In response to industry needs, this course combines mathematics, finance, statistics and computer science. By developing skills across these complementary areas, you will be well placed to pursue quantitative roles in a competitive and rapidly evolving financial sector.
Programme overview
Main Subject
Finance
Degree
MSc
Study Level
Master's
Study Mode
On Campus
This fast-paced one-year MSc provides the technical foundation for a career in quantitative finance.
As the financial sector becomes increasingly sophisticated, there is a high demand for interdisciplinary experts whose skills span mathematics, finance, computer science, and statistics. This includes a growing demand for specialists trained in computational statistics, machine learning and artificial intelligence
At UCL Computer Science, a world-renowned centre for computational finance and machine learning, you will develop these advanced quantitative, modelling and programming skills while learning alongside leading academics and experts in the field.
The core topics covered in Computational Finance MSc are financial engineering, numerical methods, data science, and machine learning for finance. In addition to these, we offer optional modules in probability theory and stochastic processes, market and credit risk, market microstructure, algorithmic trading, numerical optimisation, networks and systemic risk, financial institutions and markets, blockchain technologies, applied computational finance, advanced machine learning, and others.
In response to industry needs, this course combines mathematics, finance, statistics and computer science. By developing skills across these complementary areas, you will be well placed to pursue quantitative roles in a competitive and rapidly evolving financial sector.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
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