MSc Finance & Machine Learning

The Finance and Machine Learning MSc course at Queen Mary University of London (QMUL) is designed to provide students with a solid understanding of advanced financial theories, financial econometrics, and machine learning. The course aims to equip students with the necessary skills and understanding to handle financial data, create financial models, and use machine learning algorithms, thereby aiding in decision-making processes in finance. Course Content: The course encompasses two areas of study - finance, which constitutes 70% of the modules, and machine learning, which comprises 30% of the modules. It covers among other topics, Asset Pricing, Portfolio and Risk Management, Python and Machine Learning, Financial Econometrics, Time Series Analysis, Financial Engineering, and Market Microstructure.Key Modules: Key modules include Asset Pricing, Portfolio and Risk Management, Python and Machine Learning, Financial Econometrics, Time Series Analysis, Financial Engineering, and Market Microstructure.No accreditations information was provided.Future Careers: Graduating from the Finance and Machine Learning MSc course will open up opportunities for students in investment banks, financial institutions, regulatory bodies, and technology companies that require professionals with skill-sets in finance and machine learning. It also forms a solid foundation for those who wish to pursue research in finance. For more information on this course, please visit the official course page.