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This program will equip you with: Comprehensive knowledge of financial markets Advanced training in machine learning techniques for finance Proficiency in modern programming languages like Python and R Skills to independently evaluate forecasting approaches and their financial impact Diverse quantitative tools for assessing risks and returns in investment scenarios Career opportunities Numerous roles in finance, including positions as data analysts, quantitative researchers, fintech experts, or risk management professionals. Our MSc students receive dedicated career assistance (personal consultations, mock interviews, professional development sessions, etc.) throughout their studies and for three years post-graduation.
Degree requirements – You need a 2:1 or above at undergraduate level in any subject, provided there is a strong quantitative background in Statistics and Mathematics. IELTS (Academic) minimum score 6.5 overall with 6.0 in each of Writing, Listening, Reading and Speaking.