u/Agreeable-Musician50

Hi everyone,

I’m a Canadian citizen currently finishing my Bachelor’s degree in Applied Mathematics in France. I have secure an internship ) in Data Science / AI in the US post-graduation, but I’m struggling to understand the visa requirements.

Here is my situation:

• Citizenship: Canadian (I know this usually simplifies the US visa process).
• Education: Bachelor’s degree in Applied Mathematics from a French university.
• Experience : data engineer summer intern last year

I’ve been reading about the TN visa , but I’m a bit confused regarding my specific situation:

1. Internship vs. Professional: Is an "internship" considered a professional activity eligible for a TN visa? I understand the TN is usually for professionals holding a bachelor’s degree, but does it apply to internship roles?
2. Foreign Degree: Since my degree is from France, does it need a formal evaluation (e.g., WES) to be accepted for a TN status, or is it recognized automatically?
3. Alternatives: If the TN is not suitable for internships, what is the best path for a Canadian citizen who is not enrolled in a North American university? Is the J-1 (Intern/Trainee) the standard route?(with no sponsorship required)

Hi everyone,

I am currently in my third year of a Bachelor's in Mathematics at Université Paris-Saclay (a top-tier university in France). I have a solid academic record and a very clear career goal: I want to become a Quantitative Researcher / dev

I already have hands-on professional experience in a Data Engineering internship, I'm currently at a crossroads regarding my graduate studies and hesitating between two strategies. I’d love to get your insights, especially if you have walked this path or if you recruit in the industry.

Here is my dilemma:

Option 1: The Strategic Gap Year for Internships The idea would be to take a gap year before starting my Master's to accumulate industry experience.

• The Goal: Build a highly competitive resume to eventually apply to top-tier programs (aiming for the Master El Karoui in France, or a top MFE program in the US).
• My Doubts: Given my current background, which leans heavily toward Data Eng/Tech, what specific types of internships should I target during this gap year to pivot closer to a pure Quant role and prove my strong modeling/pure math skills?

Option 2: Direct Master's + Intensive Extracurricular Focus The alternative is to go straight into an M1 in Applied Mathematics next year.

• The Goal: Keep the academic momentum going and boost my profile in parallel with technical projects. I could just keep grinding quant/data competitions and personal projects alongside my classes.
• My Doubts: Do elite Master's program directors (like El Karoui) or US MFE admissions committees actually value these extracurriculars (hackathons, building in public) compared to candidates who took a year off to intern at a hedge fund or an investment bank?

TL;DR: In your opinion, what is the safest route to maximize my chances of getting into these prestigious Master's programs and eventually a top fund? Does my hybrid profile (currently very tech/data-heavy) absolutely require market finance internships right now, or is the direct academic route coupled with strong personal projects enough?

Thanks in advance for your help and feedback!