Imperial College London MSc Statistics VS. LSE MSc Data Science

Hi everyone!

I am having a hard time deciding these two programs and wish to gain any insights from any perspective!

Main concern:
1. I am a Maths+stats undergraduate student, familiar with python and R, and LSE modules seem easy for at least the fall semester core modules (6 in total for the whole year). A bit afraid that I won't learn much new.

2. Wish to secure a job right after master's degree in London area (tech industry or quant), therefore would not want the workload to be too much that I can't find anytime for job hunting, which might ore might not be the case for Imperial, but definitely not for LSE as I've heard LSE data science is pretty chill.

Please give any thoughts you might have!!

You pretty much answered your own question/debate. Choose Imperial because they are the best at statistics in London. There’s no doubt the workload/stress in Imperial is high but they are a really good university. The environment is much much better because people are there for the passion they have for their subject. Imperial itself already holds much better prestige/reputation that LSE.

Basically, choose Imperial.

Thank you for you insight! Do you think, then, with the high workload there is still time for job hunting? My only concern is that I won't have ANY time for it.

Hi everyone!

I am having a hard time deciding these two programs and wish to gain any insights from any perspective!

Main concern:
1. I am a Maths+stats undergraduate student, familiar with python and R, and LSE modules seem easy for at least the fall semester core modules (6 in total for the whole year). A bit afraid that I won't learn much new.

2. Wish to secure a job right after master's degree in London area (tech industry or quant), therefore would not want the workload to be too much that I can't find anytime for job hunting, which might ore might not be the case for Imperial, but definitely not for LSE as I've heard LSE data science is pretty chill.

Please give any thoughts you might have!!

Hi everyone!

I am having a hard time deciding these two programs and wish to gain any insights from any perspective!

Main concern:
1. I am a Maths+stats undergraduate student, familiar with python and R, and LSE modules seem easy for at least the fall semester core modules (6 in total for the whole year). A bit afraid that I won't learn much new.

2. Wish to secure a job right after master's degree in London area (tech industry or quant), therefore would not want the workload to be too much that I can't find anytime for job hunting, which might ore might not be the case for Imperial, but definitely not for LSE as I've heard LSE data science is pretty chill.

Please give any thoughts you might have!!

If you know LSE data science is chill and easier than Imperial, then so do the employers. If you want to work as a quant, it’s not going to be chill, so you’d best decide what goal you’re after

I sort of felt the same about the LSE program when I applied a few years ago. It is very generic and introductory and something that you could learn through free online courses. But then again, this is my personal opinion. Both Imperial and LSE are well known, and would help you get a job. Think you should go with Imperial, since they have a more rigorous program and better industry contacts.