University of Sussex School of Mathematical and Physical Sciences
MSc in Financial Data Analytics

Falmer, United Kingdom

DEGREE TYPE

MSc

DURATION

1 year

LANGUAGES

English

PACE

Full time

APPLICATION DEADLINE

EARLIEST START DATE

STUDY FORMAT

On-Campus

* international: 1 August 2024 / UK: 1 September 2024

Key Summary

About : The MSc in Financial Data Analytics blends finance with data science, equipping students with the skills to analyze financial data. The program covers topics like machine learning, big data technologies, and financial modeling. It's designed to foster understanding of complex financial instruments and improve analytical abilities over the course of one year. Students gain hands-on experience through projects and access to industry-standard tools.

Career Outcomes : Graduates can explore various career opportunities such as financial analyst, data scientist, and risk manager. They may also work in sectors like investment banks, consulting firms, and insurance companies, utilizing their expertise to drive data-informed decision-making.

Please note: this course is now closed for international applicants for 2023. It remains open for UK applicants.

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.

We understand that deciding where and what to study is a very important decision. We’ll make all reasonable efforts to provide you with the courses, services and facilities described in this prospectus. However, if we need to make material changes, for example due to significant disruption, or in response to COVID-19, we’ll let our students know as soon as possible.

We regularly review our modules to incorporate student feedback, staff expertise, as well as the latest research and teaching methodology. We’re planning to run these modules in the academic year 2023/24. However, there may be changes to these modules in response to COVID-19, staff availability, student demand or updates to our curriculum. We’ll make sure to let our applicants know of material changes to modules at the earliest opportunity.

We’ll do our best to provide as much optional choice as we can, but timetabling constraints mean it may not be possible to take some module combinations. The structure of a small number of courses means that the order of modules or the streams you choose may determine whether modules are core or optional. This means that your core modules or options may differ from what’s shown below.

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.

Autumn teaching

Algorithmic Data Science
Computing for Data Analytics and Finance
Financial Mathematics

Spring teaching

Financial Portfolio Analysis
Machine Learning
Mathematical Models in Finance and Industry

Summer teaching

Dissertation Financial Data Analytics

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

Data Analysis Techniques
Data Science Research Methods
Linear Statistical Models
Measure and Integration
Programming through Python

Spring teaching

Cryptography
Financial Investment and Corporate Risk Analysis
Monte Carlo Simulations
Random Processes
Statistical Inference

This course is currently subject to validation, in line with our procedures for assuring the quality of our degrees. This means that some course detail may change. The validation process will be concluded before the course starts.