Students
Tuition Fee
Start Date
Medium of studying
Duration
Details
Program Details
Degree
Masters
Major
Finance | Financial Planning | Data Science
Area of study
Business and Administration | Mathematics and Statistics
Course Language
English
About Program

Program Overview


Overview of the Data Science and Finance MSc Program

The Data Science and Finance MSc is a conversion program designed to equip students with essential data science skills and financial knowledge to innovate and solve real-world challenges in the banking and finance industry.


Program Details

  • The program is delivered by the School of Mathematics, Statistics and Physics, the School of Computing, and Newcastle University Business School.
  • Newcastle University Business School is a world-leading, triple-accredited business school, holding accreditations for Association to Advance Collegiate Schools of Business (AACSB), European Quality Improvement System (EQUIS), and Association of MBAs (AMBA).
  • The program is taught by experts from the Finance subject group in the Business School, who combine world-class research with strong industry links to deepen understanding of markets, institutions, and financial decision-making.

Career Opportunities

Graduates of the Data Science and Finance MSc are well-prepared to pursue roles such as:


  • Data Analyst
  • Business Analyst
  • Risk Modelling Specialist
  • Performance Analyst
  • Financial Data Consultant
  • Fraud Solution Architect
  • Data Scientist

Program Structure

The program is designed to give students the core skills and knowledge needed to innovate data. Students will build a solid foundation in data science, grounded in the latest computational and mathematical techniques. They will learn how to use computer programming to bring powerful financial and statistical techniques to life.


Key Features

  • The program is a conversion program, designed for graduates who are looking to transition into data science and do not hold a degree in computer science or a related computational field.
  • The program is ideal for someone who is looking to transition into data science within the banking and finance sector or already works in finance and wants to build strong data science skills to advance their career.
  • Students will apply their data science skills and techniques to banking and finance topics such as financial risk management, retail and investment banking, and green finance and sustainability.
  • Students will tackle real-world challenges in financial markets and institutions, focusing on performance management and risk modelling.
  • The program includes a partnership with the UK's National Innovation Centre for Data (NICD), with aspects of the course delivered by NICD's expert data scientists.

Admission Criteria

The program is subject to full university approval and is due to start in September 2026. The information given is intended for guidance purposes only and may change once the course is fully approved.


Tuition Fees

Tuition fees are not specified in the provided context.


Research Areas

The program focuses on data science and finance, with research areas including:


  • Financial risk management
  • Retail and investment banking
  • Green finance and sustainability
  • Performance management and risk modelling

Academic Experience

The program is designed to provide students with a high-quality teaching environment, innovative programming, and active engagement with industry. The University's Academic experience page provides information about the study experience for the academic year.


Terms and Conditions

The University's terms and conditions and student complaints information provide details of circumstances that may lead to changes to programs, modules, or University services.


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