u/Imaginary-Garage-565

Hey everyone! I’m struggling with time management on GRE Quant and would really appreciate some advice. My exam is in 15 days.

I’m able to solve hard quant questions when I’m untimed, and often after reviewing a solution I realize I actually knew how to approach the question. But under timed conditions, I panic, especially when I see a wordy question or one with a lot of numbers/information. I end up spending too much time trying to figure out how to approach it.

I’ve been following GregMat and doing his quant timed sets diligently, but I’m almost always losing 3 to 4 questions due to time constraints, particularly in Section 2.

My current plan is to:

• Continue doing timed quant sets regularly.
• Practice skipping questions when I don’t see a clear approach quickly instead of getting stuck.
• For long or wordy questions, practice breaking them down and identifying exactly what is being asked before solving.
• Review my timed sets afterward and categorize mistakes as either a knowledge gap, approach issue, or time management issue.
• Do more full timed sections so I can get used to the pressure and pacing.

I’m aiming for a 168+ score, so I really want to work on this since I don’t think my foundation is the issue anymore.

For those who have improved their Quant timing, does this seem like a good approach? Is there anything you would change or add, particularly for dealing with panic on long/wordy questions and avoiding losing multiple questions to time in Section 2?

Any practical advice would be greatly appreciated!

Hey everyone! I’m struggling with time management on GRE Quant and would really appreciate some advice. My exam is in 15 days.

I’m able to solve hard quant questions when I’m untimed, and often after reviewing a solution I realize I actually knew how to approach the question. But under timed conditions, I panic, especially when I see a wordy question or one with a lot of numbers/information. I end up spending too much time trying to figure out how to approach it.

I’ve been following GregMat and doing his quant timed sets diligently, but I’m almost always losing 3 to 4 questions due to time constraints, particularly in Section 2.

My current plan is to:

• Continue doing timed quant sets regularly.
• Practice skipping questions when I don’t see a clear approach quickly instead of getting stuck.
• For long or wordy questions, practice breaking them down and identifying exactly what is being asked before solving.
• Review my timed sets afterward and categorize mistakes as either a knowledge gap, approach issue or time management issue.
• Do more full timed sections so I can get used to the pressure and pacing.

I’m aiming for a 168+ score, so I really want to work on this since I don’t think my foundation is the issue anymore.

For those who have improved their Quant timing, does this seem like a good approach? Is there anything you would change or add, particularly for dealing with panic on long/wordy questions and avoiding losing multiple questions to time in Section 2?

Any practical advice would be greatly appreciated!

Hey! Starting my MS applications for Fall 2027, targeting Analytics, MIS and MEM programs.

Struggling with how to build my university list. A few things I'm unsure about:

Brand name vs program specialization, which matters more for analytics roles? Does location/proximity to job markets (NYC, Bay Area, Chicago) outweigh rankings? Any programs you'd strongly recommend or avoid for someone going into data/business analytics?

Would love advice from people who've been through this, especially for analytics/MIS since most posts here are CS or MBA focused. Thanks!

Hey guys!

I’ve been researching a bunch of MEM programs in the US and honestly I’m getting really mixed opinions online.

Some people say these programs are amazing for breaking into PM/consulting/data roles, while others call them “cash cow” programs for internationals. So I wanted some real, unfiltered opinions from people actually studying there or who’ve graduated.

The main programs I’m considering are:

- CMU MISM

- Columbia MS&E

- Duke MEM

- Dartmouth MEM

- Cornell MEM

A little about me: I’m probably more interested in PM / analyst / tech strategy type roles rather than hardcore SWE.

Would love to know things like:

- Which of these are actually worth the money?

- Which have strong placements right now?

- Are some of them overhyped?

- How hard is recruiting for internationals currently?

- Which program has the strongest alumni network/helpful career support?

- Which one would you personally choose today and why?

Also, if there are any current students or alumni here, I’d love to hear your candid experience: the good and the bad, especially the things brochures don’t tell you. ;)