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Universities United Kingdom Durham University Courses MSc in Scientific Computing and Data Analysis (Financial Technology)

MSc in Scientific Computing and Data Analysis (Financial Technology)
at Durham University

Durham, United Kingdom

Tuition Fee £ 27,500
Country Rank#35
Duration12 Months
Score IELTS: 6.5 TOEFL: 92

Program Overview

Advances in fields such as Physics, Engineering, Earth Sciences or Finance are increasingly driven by experts in computational techniques. Notably, people skilled to write code for the most powerful computers in the world and skilled to process the biggest data sets in the world can truly make a difference.

The MSc in Scientific Computing and Data Analysis offers an application-focused course to deliver these skills with three interwoven strands:

Computer Science underpinnings of scientific computing (algorithms, data structures, implementation techniques, and computer tool usage)
Mathematical aspects of data analysis
Implementation and application of fundamental techniques in a domain specialisation (presently astrophysics, particle physics, financial mathematics, or earth and environmental sciences).

Through MISCADA’s FinMath specialisation, students will be introduced to the mathematical principles behind modern financial markets, and elements of programming and communication in the context of the financial industry. Financial mathematics draws on tools from probability theory, statistics, partial differential equations, and scientific computing, and is widely used in investment banks, hedge funds, insurance companies, corporate treasuries, and regulatory agencies to solve such problems as derivative pricing, portfolio selection, and risk management.

The FinMath specialisation has a very strong mathematical flavour and educates students who will later on work within the quantitative divisions of fintech companies. To succeed, you need a very strong mathematical background (BSc in Maths is recommended).

Course Content
The course is structured into five elements spanning three terms. In this course:
- you will obtain a strong baseline in methodological skills
- you will study selected topics from your chosen specialisation area with a strong emphasis on computational and data challenges.
- you can choose to put emphasis on data analysis or scientific computing
- you will do a challenging project either within the methodological academic departments (Mathematical Sciences or Computer Science), or within the specialisation area, or in close cooperation with our industrial partners
- you will acquire important professional skills spanning collaboration and project management, presentation and outreach as well as entrepreneurial thinking
Entry Requirement
A UK first or upper second class honours degree (BSc) or equivalent
- In Physics or a subject with basic physics courses OR
- In Computer Science OR
- In Mathematics OR
- In Earth Sciences OR
- In Engineering OR
- In any natural sciences with a strong quantitative element.
We strongly encourage students to sign up for a specialisation area for which they already have a strong background or affinity. At the moment, the course targets primarily Physics, Earth Sciences and Mathematics (finances) students. If you do not have a degree from these subjects, we strongly recommend you to contact the University beforehand to clarify whether you bring along the right background.

Please note that standard business degrees are not sufficient, as they lack the required level of mathematical education.
Fees & Scholarships
Fees and funding
- Home students £12,100 per year
- EU students £27,500 per year
- Island students £12,100 per year
- International students £27,500 per year
The tuition fees shown are for one complete academic year of full time study, are set according to the academic year of entry, and remain the same throughout the duration of the programme for that cohort (unless otherwise stated).

Cost Of Studying At Durham University

Interest rates as low as 8.9% ^*

250K+

Students Assisted

800Cr+

Loan Amount Disbursed

5000+

Loans Sanctioned

Check Loan Eligibility

MSc in Scientific Computing and Data Analysis (Financial Technology) at Durham University