- Headline
- Great theoretical base and vast choice of topics
- Class of
- 2024
The course provides a strong mathematical and theoretical foundation in both computational finance, statistics, and machine learning. The professors are highly knowledgeable, and there is a wide selection of modules to tailor the learning experience to individual interests. It’s easy to build strong relationships with faculty, making this a solid pathway into PhD programs and advanced academic research. However, the program’s career services are a notable weakness. While there is the option to complete a thesis in an industrial setting, which can vary greatly in quality and rarely leads directly to employment, there is limited support for job placement and the courses offer little in regards to interview preparation.
- Recommend
- Yes, I would recommend this program
- Students Quality
-
5.00 star(s)
- Courses/Instructors
-
5.00 star(s)
- Career Services
-
3.00 star(s)