Edit : Updated with some changes.
Last year I got accepted in Georgia Tech’s Online Version on MS called OMSCS. OMSCS provides 4 specializations. I plan to take the Machine Learning Specialization and following is the plan of courses I intend to take in this program. For Machine Learning Specialization, I need to complete 15 credits worth of courses in the Machine Learning Domain.
There are 2 core courses available in OMSCS. (6 Credits) :
- CS 7641 Machine Learning
- CS 6515 Introduction to Graduate Algorithms.
I need to pick both of the above Courses.
Then there are electives (9 Credits ) :
- CS 6476 Computer Vision
- CS 7642 Reinforcement Learning and Decision Making (Formerly CS 8803-O03)
- CS 7643 Deep Learning
- CS 7646 Machine Learning for Trading
- CSE 6242 Data and Visual Analytics
- CSE 6250 Big Data for Health (Formerly CSE 8803)
- ISYE 6420 Bayesian Methods
I need to pick at least 3 from the above list of Courses. Rest I can pick from the open Courses.
The Plan I have is as follows:-
|Semester||Course Type||Course Name||Remarks||Grade||Load||Hours Per Week|
|Spring 2021||Core||Machine Learning||-||4.18||21|
|Fall 2021||Core||Introduction to Graduate Algorithms||-||4.33||24.885|
|Spring 2022||Elective||Reinforcement Learning/Big Data for Health/Deep Learning||-||>4||20.885|
With this plan, I cover all the necessary pre-requisites for an ML Specialization. It also covers the required pre-requisite in Interactive Intelligence. The subjects marked in bold are important. I hope I can get to the Courses with my time ticket.