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InstitutionProgram

Institution

Durham University

Currency

€

Program Level

MSc

Program

Scientific Computing and Data Analysis (Financial Technology)

Summary

Developments in fields such finance, physics and engineering are increasingly driven by experts in computational techniques. The financial services sector has always been at the forefront of data analytics, and those with the skills to write code for the most powerful computers in the world and to process the biggest data sets can give a company a competitive edge.

Our suite of Masters in Scientific Computing and Data Analysis (MISCADA) 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 and the simulation and analysis of mathematical models
• Implementation and application of fundamental techniques in an area of specialisation (as well as Financial Technology we offer options in Astrophysics, Computer Vision and Robotics, or Earth and Environmental Sciences)

Tuition Fees

34000.00

Duration

Year

Application Fee

0.00

Living Costs

0.00

CertificateName

MSc of Scientific Computing and Data Analysis (Financial Technology)

Intake

September

Month Length

0

Year Length

1

Program Length

1 years

IsActive

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