I expect much more offers than that. Not many applicants in the standard round have received their results and it is not likely that 80% of the rest will be rejected.Last year, the tracker recorded a total of 24 acceptances. This year, there have already been 20 admissions, with 18 applications currently marked as ‘pending’ on the tracker. Based on current trends, we can reasonably expect approximately 3 to 5 additional acceptances from the pending pool.
So results should come today end of the day us or by tomorrow india timeThis is not new. Laura told me about this during my interview that the 'recent upgrade to our application processing system' was actually a bug in their system which prevented them from seeing any GMAT focus edition scores. That's the reason I got my interview invite late and all those who gave GMAT FE scores received interview invites quite late. Laur was pretty confident that the decisions would be coming out this week only. So lets wait.
I am hopeful!So results should come today end of the day us or by tomorrow india time
Since the website said 2 weeks, I’m assuming it’ll be by this weekend - was planning on mailing if that deadline is also breachedHas anyone received any reply for mail regarding result date? I had mailed GT but yet to receive any reply.
NYC is the center of global finance so being in proximity is an advantage. It allows for informal meetings and networking opportunities that turn to job leads.Particularly I'm concerned about how much does the NYC location help in getting jobs?
That's an interesting point about the 18-month duration – I had been under the impression that 15 months often strikes a good balance between accelerating entry into the workforce and gaining substantial learning.Haven't gotten any replies either but, thinking of considering NYU Tandon at this point.
Do any of you have any ideas or thoughts about NYU Tandon MFE vs GT QCF?
I'd personally prefer GT because of the program being 18 months long, more computationally heavy and more cost friendly.
Particularly I'm concerned about how much does the NYC location help in getting jobs?
As far as i know when i took the information virtual session that they see the program as ai and ds for financeI was also curious—does the MS QCF program primarily cater to those with a computer science background, or can someone with a strong foundation in finance or statistics also thrive and fully leverage the curriculum? From what I’ve seen, the admitted cohort seems to lean heavily towards CS, so I’m wondering how well individuals from a more finance/stats-oriented background fit into and benefit from the program.
The course is definitely very computationally heavy. Not to say that people from finance background can't make it but I've heard within the first sem itself they have programming courses in python, c++, R and I think even matlab which can be daunting for a non programmer.I was also curious—does the MS QCF program primarily cater to those with a computer science background, or can someone with a strong foundation in finance or statistics also thrive and fully leverage the curriculum? From what I’ve seen, the admitted cohort seems to lean heavily towards CS, so I’m wondering how well individuals from a more finance/stats-oriented background fit into and benefit from the program.
When it comes to pursuing a Master’s in Quantitative Finance, 4 universities frequently top the list for Indian studentsHaven't gotten any replies either but, thinking of considering NYU Tandon at this point.
Do any of you have any ideas or thoughts about NYU Tandon MFE vs GT QCF?
I'd personally prefer GT because of the program being 18 months long, more computationally heavy and more cost friendly.
Particularly I'm concerned about how much does the NYC location help in getting jobs?
A standard MFE program last 3 semesters: Fall, Spring, Fall where students usually did they summer internship in the second year.That's an interesting point about the 18-month duration – I had been under the impression that 15 months often strikes a good balance between accelerating entry into the workforce and gaining substantial learning.