Computer Science or Data Science master for quantitative finance

[InfinityQuant]

Hi there,

I'm a bachelor student planning to pursue a career in quant after my master, and I've been accepted in two masters at ETH Zurich:
1. Master in Computer Science, which has a major in Machine Intelligence and a minor in Data Analysis
2. Master in Data Science, which has Finance & Insurance as an elective.

I'm looking for your advice because I'm not sure which one to choose in my case.

The Master in Computer Science is often one of the requirements (alongside MSc in math, stats, ...) in quant jobs descriptions, and the Machine Intelligence specialization offers a strong focus on ML/AI, but CS graduates are plentiful in the job market.

The Master in Data Science offers finance-focused math courses and ML/AI courses, which makes it seem more tailored for quantitative finance. However, I'm concerned that a "Master in Data Science" might be perceived as less rigorous by recruiters due to the variable range of programs at other institutions (some reputable business schools even offer a Data Science MSc with no math background requirements), so I’m afraid it might reduce the chances of getting an interview if the recruiter doesn't know the details of ETHZ's MSc in Data Science.

Your insight would be much appreciated. Thanks in advance for your help!

Masters details: Computer Science and Data Science

 

[Andy Nguyen]

Given the platform you are in, I argue that most will lean toward the CS degree.
Data Science is a new discipline and there are little long term data on how the curriculum will change over time.
CS is an established degree. Everyone knows what it covers. At the same time, the number of people walking around with CS degree is massive.
Once you settle on a program, try to see if you can pick and choose other courses that appeal to you most. Some programs will have electives from other departments which you can use.