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Master of Science in Scientific Computing and Data Analysis (Financial Technology)

Master of Science in Scientific Computing and Data Analysis (Financial Technology)

at Durham University United Kingdom

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.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

12

Duration

Durham University

Location

Master of Science in Scientific Computing and Data Analysis (Financial Technology) Assistant Fee

$27500

Tuition Fee

$0

Average Cost of Living

$0

Application Fee

Master of Science in Scientific Computing and Data Analysis (Financial Technology) Admissions Requirements

  • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's degree.
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Where would you like to study*

Work Permit United Kingdom

There are various options through which a student can get a post study work visa in the UK. 
Tier 1 Graduate Entrepreneur Visa for the graduates with a genuine and credible business idea. 
Tier 2 (General) is the leading immigration visa to work in the UK.
Tier 4 Doctorate Extension Scheme is for students who have completed their Ph.D. and is valid for 12 months for them to work, look for work or set up a business. 
Tier 5 Youth Mobility is for individuals of certain countries like Australia, Canada, Japan, Monaco, Hong Kong, South Korea, Taiwan, and New Zealand aged between 18 -30 who wish to move to the UK. 
Tier 5 GAE is for individuals who want to come to the UK for work experience, training, research or a fellowship. 
UK Ancestry is for individuals who are a citizen of a commonwealth and plan to work in the UK and have a grandparent who was born in the UK.
 

Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

12

Duration

Study Visa

English Test Requirement

6.5

Minimum Overall Score

92.0

Minimum Overall Score

62.0

Minimum Overall Score

Other Courses by Durham University ,United Kingdom

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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).

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12 month

Duration

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Tuition

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Tuition

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Core and elective modules:
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View All Courses by Durham University , United Kingdom

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