This post is part of the series that I am writing to reflect on my experiences with the OMSA program.
Part 1 can be found here
The MicroMasters Program
Today I will be writing about Georgia Tech MicroMasters Program in Analytics: Essential Tools and Methods. I have taken this before I apply for the Georgia Tech OMSA program.
The MicroMasters Program consists of three courses which are part of the OMSA curriculum.
- Intro to Analytics Modeling (ISYE 6501)
- Data Analytics in Business (MGT 6203)
- Computing for Data Analysis (CSE 6040)
ISYE 6501 Review
ISYE 6501 is taught by Professor Dr Joel Sokol and it is a great course to introduce the concepts in the OMSA program. The material consists of learning different Machine Learning Models and Case Discussions. It will also teach you to program in R for some homework and you need to take exams in multiple-choice format. I remember the questions being a bit tricky but not too difficult if you understand the concepts. There are no assignments or group projects when I did this course at the time but it may have changed.
- 5/5 for the materials
- 5/5 for the delivery (Dr Sokol is really great!)
- 3/5 for the effort (I spent about 3-4 hours per week)
MGT 6203 Review
- 4/5 for the materials (Personally I still find the materials useful from time to time to review model outputs from R)
- 3/5 for the delivery
- 2/5 for the effort (I spent about 3 hours per week)
CSE 6040 Review
This was by far the toughest course for me. I didn’t have any programming background before doing this course and I had to learn everything on the fly. This is more like a Python programming course. So your effort will vary based on your knowledge of Python. If you know Python, you can spend 2-3 hours per week and ace it. The great thing about this course is that homework assignments alone count for 50% of the total grade! So if you managed to get full points for the homework, you can pass midterms (there are two) and finals with acceptable grades and still achieve an A!I also like the fact that Professor Richard (Rich) Vuduc and his team of TAs are so helpful during office hours. They pretty much helped to troubleshoot/debug my codes. The homework and exams have something called an auto-grader where you can write a code and it will provide a pass/fail. So you can keep trying until it passes (and what a relief it gives when your code passes!) I would give a rating of
- 5/5 for the materials (Great notebooks with explanations that I can still use to learn Python from time to time)
- 4/5 for the delivery (Initial materials are great but once you are the halfway through the course, it ramps up very quickly into Linear Algebra & Calculus)
- 5/5 for the effort (Since I have no Python background, I had to spend almost 6-7 hours per week)