Postgraduate Studentships - Search for funding opportunities.
Postgraduate Studentships - Search for funding opportunities.
Study Details: 1 Year
The financial industry is in a period of change. Information is available in more detail than ever before. This creates a need for quantitative analysts with a profound understanding of financial principles, along with data science and mathematics skills.
This MSc introduces you to the dynamic world of quantitative finance, the revolutionary ideas of data analytics and the rigorous elegance of mathematics. During your studies, you’ll:
gain the practical skills to solve real-world problems
feel at home in the communities of quantitative analysts, mathematicians and computer scientists
learn about the leading principles of quantitative finance, the foundations of data science and machine learning, and methods of computer programming.
When you graduate, you’ll be proficient in analytic thinking and systematic reasoning. You’ll have excellent research skills and will be able to communicate complex ideas. With your knowledge and expertise, you’ll be well prepared for jobs in a wide range of professions.
You should have an upper second-class (2.1) undergraduate honours degree or above. Your qualification should have a mathematics content, demonstrating knowledge in calculus, probability and statistics. You are suited to this course if your qualification is in mathematics, finance, economics, business, science, engineering or computing. You may also be considered for the course if you have other professional qualifications or experience of equivalent standing.
As a graduate, you’ll have the mathematics, data analytics and finance skills to successfully compete in a wide range of related professions. These could include:
accountancy
consultancy
data science
financial services
information technology and computer programming
insurance
pension funding.
Core modules
Core modules are taken by all students on the course. They give you a solid grounding in your chosen subject and prepare you to explore the topics that interest you most.
All year
Dissertation (Financial Data Analytics)
Autumn teaching
Computing for Data Analytics and Finance (L7)
Data Science Research Methods Autumn (L7)
Spring teaching
Financial Portfolio Analysis
Machine Learning
Options
Alongside your core modules, you can choose options to broaden your horizons and tailor your course to your interests. This list gives you a flavour of our options, which are kept under review and may change, for example in response to student feedback or the latest research.
While it’s our aim for students to take their preferred combinations of options, this can’t be guaranteed and will be subject to timetabling. Options may be grouped and if so, students will be able to choose a set number of options from the selection available in any particular group.
Autumn teaching
Algorithmic Data Science
Data Analysis Techniques
Financial Mathematics (L.7)
Linear Statistical Models (L7)
Spring teaching
Financial Invest & Corp Risk Analysis
Machine Learning and Statistics for Health (L7)
Monte Carlo Simulations (L7)
Statistical Inference (L.7)
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