Overview
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.
During the Financial Data Analytics course at University of Sussex , 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.
Key features
- 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.
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Algorithmic Data Science
- Computing for Data Analytics and Finance
- Financial Mathematics
- Financial Portfolio Analysis
- Machine Learning
Check out the full curriculum
Visit programme websiteKey information
Duration
- Full-time
- 12 months
Start dates & application deadlines
- Starting
- Apply before , International
- Apply before , National
-
Language
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- 4.9/5 student rating
Credits
Delivered
Campus Location
- Brighton, United Kingdom
Disciplines
Finance Data Analytics View 243 other Masters in Data Analytics in United KingdomExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- 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.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents22575 GBP / year≈ 22575 GBP / year -
Domestic Applies to you
Applies to youCitizens or residents11025 GBP / year≈ 11025 GBP / year
Living costs
Brighton
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Check for any work restrictions
Visit programme websiteIn order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Financial Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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