📖Program Curriculum
Our MSc Finance and Data Analytics course provides all the necessary tools for a successful career in the financial industry. You’ll learn how to use programming languages (e.g. Python R) to analyse data and get a deep understanding of core financial theory and investment practices.
The first semester of the program is devoted to developing core financial and data analytics skills. In the second semester you can choose from a wide selection of modules that will allow you to further strengthen your skills in data analytics and investments. During the summer you’ll write a dissertation on a finance-related topic of your choice applying the skills you’ve learned during the year.
Modules
The module information below provides an example of the types of course module you may study. The details listed are for the current academic year (September 2022). Modules and start dates are regularly reviewed and may be subject to change in future years.
Year 1 Autumn semester
Compulsory module
Module Credits
Flying Start Leadership Programme (MANPFSL) 0 credits
Compulsory module
Module Credits
Corporate Finance (INVP001) 20 credits
Compulsory module
Module Credits
Representing and Manipulating Data (ITNPBD2) 20 credits
Compulsory module
Module Credits
Quantitative Methods in Finance (BFIP013) 20 credits
Compulsory module
Module Credits
Blockchain Technologies (ITNPFT1) 10 credits