MBA Master of Business Administration
Durham University's MBA Master of Business Administration program is designed to eq...
Durham City
INTAKE: September
The MSc Scientific Computing and Data Analysis (Financial Technology) program at Durham University is designed for students interested in the application of advanced computational and data analysis techniques in the financial technology sector. This cutting-edge program blends elements of computer science, data science, and finance to address the complex challenges of the financial industry.
Scientific Computing Fundamentals: Students gain a strong foundation in scientific programming, numerical methods, and computational techniques, which are essential for solving complex financial problems.
Data Analysis for Finance: The curriculum focuses on statistical analysis, machine learning, and data visualization techniques specific to the financial domain.
Financial Technology Applications: Students explore the application of scientific computing and data analysis in financial modeling, risk assessment, algorithmic trading, and financial decision-making.
Blockchain and Cryptocurrencies: The program provides insights into blockchain technology and its implications for the financial industry, including the study of cryptocurrencies.
High-Frequency Trading: Students learn about high-frequency trading strategies and how scientific computing can enhance trading performance.
Research Project: In the final phase of the program, students undertake an independent research project, applying scientific computing and data analysis to address a specific financial technology problem.
Durham City
IELTS 6.5
£ 28750
Postgraduate Entry Requirements:
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
Durham University offers a range of scholarships and bursaries to both domestic and international students.
Graduates of the MSc Scientific Computing and Data Analysis (Financial Technology) program have diverse career opportunities in the financial and technology sectors.
Quantitative Analyst: Graduates can work in financial institutions as quantitative analysts, utilizing data analysis and scientific computing to develop trading strategies and risk models.
Financial Data Scientist: Graduates may pursue roles as financial data scientists, using advanced analytics to extract insights from financial data and support business decision-making.
Financial Technology Consultant: Graduates can work as consultants, assisting financial companies in implementing technological solutions and optimizing their operations.
Algorithmic Trading Developer: Graduates can find employment as developers in algorithmic trading firms, designing and implementing trading algorithms.
Financial Technology Researcher: Graduates may choose to engage in research positions, contributing to advancements in financial technology and data analysis.