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Financial Data Analytics MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP-26

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Digital Metrics / Website Analytics Financial Analysis

Course Summary

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.

Modules

Algorithmic Data Science - Core
Computing for Data Analytics and Finance - Core
Dissertation Financial Data Analytics - Core
Financial Mathematics - Core
Financial Portfolio Analysis - Core
Machine Learning - Core
Mathematical Models in Finance and Industry - Core

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

£11,025

International fees
Course fees for EU and international students

For this course (per year)

£23,500

Entry requirements

You should have an upper second-class (2.1) undergraduate honours degree or above. Subject-specific requirements: 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.