金融数据科学 MSc Financial Data Science

The MSc Financial Data Science at the University of Birmingham blends finance, mathematics, statistics and data science to equip graduates with practical skills for the financial services industry. Students cover essential topics including statistical inference and deep learning, time series analysis, and algorithmic trading. The programme consists of 180 credits: 120 credits of taught modules over two terms followed by a 60-credit summer dissertation conducted under one-to-one supervision. Module choice allows specialisation in areas such as Bayesian inference, computational statistics, quantitative funds management, and stochastic processes. Teaching is delivered through lectures, tutorials, and practical projects by world-leading researchers in the School of Mathematics.