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  • DeadlineStudy Details: 1 Year

Masters Degree Description

Master the power of data to transform banking and finance with this conversion degree. Gain the skills to analyse complex financial systems and make confident, data-driven decisions in a rapidly evolving global industry.

The finance sector has always relied on data, but today’s markets generate more information than ever before.

Businesses increasingly need efficient ways to collect, analyse and transform data into insights that drive better decisions.

By utilising advanced data science methods and computational power, you'll learn to:

  • make smarter predictions
  • forecast market trends
  • manage risk more effectively

The Data Science and Finance MSc at Newcastle University is a conversion programme. We have designed it to equip you with the skills to turn large, complex datasets into actionable insights. You’ll graduate with the ability to maximise opportunities and navigate the financial world with confidence.

You’ll build a solid foundation in the latest computational and mathematical techniques which are highly valued by industry. You’ll develop programming skills in Python and R, which are vital as a basis in this field. You'll then advance onto cutting-edge machine learning and AI methods to unlock insights from complex data.

Entry Requirements

A 2:2 honours degree, or international equivalent 

GCSE Mathematics grade 6 in Mathematics (or equivalent)

Applicants from a non-standard background and individuals with strong relevant work experience are encouraged to apply and will be considered on an individual basis.

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Fees

See our website for fees

Student Destinations

This programme will equip you with the expertise to excel in specialised roles within the global finance industry, which might include:

  • Data Scientist
  • Market Analyst
  • Risk Analyst
  • Credit Analyst
  • Portfolio Analyst/Manager
  • Quantitative Analyst
  • Investment Analyst
  • Financial Engineer
  • Consultant

Advanced data science knowledge would also give more traditional roles in the banking and finance industry a competitive edge.

Module Details

Compulsory modules    
Data Visualisation and Data Handling   
Programming and Machine Learning    
Foundations of Data Science   
Data Science Skills     
Programming for Finance     
Financial Risk Management    
Retail and Investment Banking     
Green Finance and Sustainability    

You also take one of the following modules:

Case Study Project in Applied Data Science   

Individual Project in Applied Data Science    

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