MSc in Financial Data Analytics
Falmer, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Request earliest startdate
TUITION FEES
GBP 21,500 / per year **
STUDY FORMAT
On-Campus
* international: 1 August 2024 / UK: 1 September 2024
** for international students; £10,500 for home students
Key Summary
Introduction
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.
Admissions
Curriculum
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.
Program Tuition Fee
Career Opportunities
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.