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Scientific Computing and Data Analysis (Financial Technology)
The Master of Science in Scientific Computing and Data Analysis (Financial Technology) at Durham University is a one-year, full-time program that combines the fields of finance, computer science, and data analysis. This program focuses on applying computational methods and data-driven strategies to the financial sector, with a particular emphasis on fintech innovations, financial algorithms, and quantitative analysis.
Students will gain expertise in areas such as machine learning, data visualization, and financial modeling, learning how to use these techniques to address challenges in finance, such as risk management, fraud detection, and automated trading. The program prepares graduates for careers in fintech companies, financial institutions, and technology firms, where knowledge of both finance and computational methods is crucial for innovation and problem-solving.
Key information
Key Facts
- Program Title: Master of Scientific Computing and Data Analysis (Financial Technology)
- Degree Type: S. Master
- Duration: 1 year
- Mode of Study: Full-time, On Campus
- Start Date: 31st July 2026
- Language of Instruction: English
- Location: University of Durham, United Kingdom
Program Structure
Semester 1 – Core Scientific Computing and Financial Technology
- Introduction to Data Science and Scientific Computing
- Financial Technologies and Digital Finance
- Programming for Financial Data Analysis
- Quantitative Methods in Finance
- Financial Markets and Instruments
Semester 2 – Advanced Financial Technology and Data Analytics
- Machine Learning in Finance
- Blockchain and Cryptocurrencies
- Financial Data Visualization and Modeling
- Risk Management and Financial Engineering
- Dissertation Preparation
Career Opportunities
Graduates of the MSc in Scientific Computing and Data Analysis (Financial Technology) from Durham University are prepared for roles in fintech, data analysis, and financial engineering. Career opportunities include positions in financial technology, algorithmic trading, quantitative analysis, and risk management. Many graduates work with fintech companies, banks, investment firms, and technology startups. With expertise in financial data analysis, machine learning, and blockchain technologies, you will be well-equipped to innovate and lead in the rapidly growing field of financial technology.
Why Choose This Program
Durham University’s MSc in Scientific Computing and Data Analysis (Financial Technology) offers a comprehensive education in both data science and financial technologies, preparing you for a career at the intersection of finance and technology. The program focuses on providing practical skills in financial modeling, data analytics, and computational finance. The program’s focus on blockchain, machine learning, and risk management ensures that you are prepared to meet the growing demand for data-driven solutions in the financial industry. With access to leading experts and hands-on experience, you will be well-prepared for a successful career in financial technology.
Contact Information
For further information, please contact the admissions office at:
Phone: +44 (0)191 334 2000
Email: admissions@durham.ac.uk
Address: University of Durham, Durham DH1 3LE, United Kingdom
