MSc Financial Data Science

The Financial Data Science MSc course offered by the University of Surrey is an innovative program that bridges the gap between data science and finance. It is designed to develop the analytical tools, techniques, and understanding required for high-level work within the finance industry, from forecasting and portfolio construction to risk analysis. The course also includes access to a trading-room style suite that provides Bloomberg and Datastream terminals – a feature that is unique to the course.Course Content: This course delves deep into areas such as data science, financial econometrics, and machine learning, providing a strong emphasis on empirical and theoretical aspects of finance. It offers modules like forecasting, risk analysis, and portfolio construction, leveraging the skills learned in the course to solve real-world financial problems. Key Modules: Key modules covered in this course include Financial Data Management, Introduction to R for Finance, Time Series Analysis, Financial Risk Management, Portfolio Theory and Investment Analysis, Financial Econometrics, Machine Learning in Finance, and Forecasting for Financial Markets.Accreditations: The University of Surrey is an established and respected provider of financial and economics training. The Financial Data Science MSc offered by the university is fully accredited and recognized.Future Careers: Graduates of this course are expected to be well-equipped for roles in the finance industry, where the ability to handle large data sets and give data-centric advice is increasingly required. The course is also perfectly suited to those wishing to pursue roles in the fields of Trading and Portfolio Analysis, Risk Analysis, Forecasting, Financial Engineering, Quantitative Analysis and Project Management.For more information on this course, please visit the official course page.