What will you learn?
Quant Marathon
Beyond-master program online in
advanced Data Science and Quantitative Finance
Next start dates
| Quant Marathon - classes | September 18, 2023 |
|---|---|
| Quant Bootcamp - live | July 8, 2024 |
| Quant Marathon/Bootcamp - self paced | any time |
The Quant Marathon is the most advanced online master program in data science, quantitative risk management and portfolio construction.
You can follow the whole program or select courses
The Quant Marathon includes
- Lifelong Lab access:
- Flexible workload
- Live teaching and support
- Networking with 100's of Marathoners from top companies in our Corporate Programs
- Free ticket to the 4+2 days Quant Bootcamp (In person/Streaming)
Delivery options
The Quant Marathon is delivered online in two modes: Class and Self-paced.
|
|
|
|---|---|---|
| Next start | September 18, 2023 | Anytime |
| Average commitment | 4 hours/week | re-optimized weekly |
| Live instructors | yes | no |
| Duration | 6 months to 3 years | any |
Each participant customizes his/her path by
- selecting course(s) and their sequence
- switching in and out of Class and Self-paced mode
Switching can take place any number of times, at any point within a course, based on performance and individual needs.
- Class:
Participants follow with other Marathoners, led by ARPM instructors.
Every course is made of 6 Units, each Unit is covered in 3 week, requiring an average commitment of ~4 hours/week. - Self-paced:
Participants follow independently.
The system reoptimizes every week every individual study plan, based on actual progress.
Interactivity is preserved: Theory and Code Q&A Forums are constantly moderated by ARPM instructors, and homework is graded at all times.
See what our alumni say
Read moreThe Quant Marathon has thousands of Alumni from around the world, including industry leaders and academics.
Our alumni hold key positions at leading organizations across the world, including Bank of America, Barclays, Merrill Lynch, J.P. Morgan, HSBC, Deutsche Bank, Bank of China and Bloomberg.
