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Advanced Technology for Financial Computing MSc

Advanced Technology for Financial Computing MSc

Different course options

Study mode

Full time

Duration

1 year

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Financial Modelling Technology Computer Science

Course type

Taught

Course Summary

This new programme will provide you with a critical and practical appreciation of how data, computing and artificial intelligence technologies can be used and developed. You will learn how this deliver value in organisations with finance, risk and decision-making related digitalisation from both technology and business perspectives.

The move towards digital organisations offers great potential for small and large, public and private enterprises. The University is in the UK's second largest financial centre after London and is leading cutting-edge, data-driven innovation to become the data capital of Europe.

This programme is taught by world class researchers and educators. It is based on full-time cross-disciplinary study and has strong links to existing centres of research excellence within three world-class academic schools within the University: School of Informatics; Edinburgh Business School; School of Mathematics.

Career opportunities

Graduates will be equipped with the strong technology knowledge and background to keep up with developments in computing technologies and business awareness.

Modules

The aim of this course is to develop generic research and/or practical skills that can be deployed in academic or commercial environments. Students will demonstrate their ability to develop interesting concepts and/or hypotheses into proposals appropriate for a larger research- or implementation-based project and demonstrate their ability to identify legal, social, ethical and professional issues.

Tuition fees

UK fees
Course fees for UK students

For this course (per year)

16,200

International fees
Course fees for EU and international students

For this course (per year)

35,900

Entry requirements

A UK 2:1 honours degree, or its international equivalent, in informatics, artificial intelligence, cognitive science, computer science, electrical engineering, linguistics, mathematics, physics, or other numerate degree.

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