SUMMARY
To pursue a PhD in Financial Mathematics or Actuarial Science, candidates typically possess undergraduate degrees in mathematics, statistics, economics, or commerce. Essential coursework includes multivariable calculus, continuous statistics, macro and microeconomics, and a foundational course in real analysis. While actuarial science does not generally require a PhD, aspiring quants should have a robust understanding of measure theory, analysis, and linear algebra. A strong mathematical foundation is crucial for success in graduate-level financial mathematics programs.
PREREQUISITES
- Undergraduate degree in Mathematics, Statistics, Economics, or Commerce
- Completion of multivariable calculus and continuous statistics courses
- Understanding of macro and microeconomics
- Familiarity with real analysis and linear algebra
NEXT STEPS
- Research graduate programs in Financial Mathematics and their specific prerequisites
- Study measure theory and its applications in financial mathematics
- Explore advanced topics in real analysis relevant to economics
- Investigate actuarial science pathways and exam requirements
USEFUL FOR
Students and professionals interested in pursuing a PhD in Financial Mathematics or Actuarial Science, as well as those seeking to strengthen their mathematical foundation for careers in quantitative finance.