LSE MSc Data Science VS. Imperial MSc StatisticsWatch
I am having a hard time deciding these two programs and wish to gain any insights from any perspective!
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!!