I recently graduated from Georgia Tech’s Online Master’s in Computer Science program! I’m now taking some time to reflect on my experience.
What was the program like?
Georgia Tech’s program is a 10-course (30 credit hour) Master’s degree in Computer Science. It’s fully online and follows a traditional academic structure with lectures, office hours, homework, exams, and grades. It’s the real deal, not watered down. You take the same courses the on-campus students take. You get a real degree that doesn’t mention that the program was online at all, because there is no difference between online and on-campus. You just have to watch recorded lectures instead of going in-person.
Why did I do it?
I love learning and I love my job as a software engineer. My employer even reimbursed me for tuition. I also wanted to expand my knowledge and skills beyond software engineering.
What courses did I take?
Software Development Process
My first course. I made my first real Android app – a Scrabble game – with a group. We also learned about UML, which I don’t care for.
Intro to Information Security
Made stacks overflow, wrote shellcode, gained root access, etc. This one was very hands on and took a lot of effort.
Machine Learning for Trading
My favorite course. I optimized portfolios using Sharpe ratios and built a reinforcement learning trading bot that beat the S&P 500 (but I learned that it’s best not to try to beat the S&P 500).
Intro to Operating Systems
I didn’t enjoy this course – it was similar to my undergraduate Operating Systems course. Our final project was to write an NFS-like server and client using gRPC, which was a new experience for me.
Machine Learning
Supervised learning, unsupervised, classifiers, regressions, areas under various curves - the whole nine yards. I don’t consider myself to be anywhere near close enough to claim I know much about this topic.
Human-Computer Interaction
This was a UX course (not UI!). I learned about usability, measuring productivity, and getting feedback from users.
Knowledge-Based AI
This was a tough course. I don’t remember much of what we learned. AI is tough.
AI, Ethics, and Society
We really dove deep into the nonsense that happened at Facebook/Meta. I learned about GDPR, which comes in handy a lot!
Network Security
This course was all about hacking into systems using clever methods. We covered SQL injections, web server bugs, JavaScript, and iframe attacks to fool users.
Game AI
As my final course, I wanted to do something new – video game AI. I learned C# and Unity (the game engine) and used them to program AI for a dodgeball game and a self-driving car.
Thoughts
When I started the program, I had vague goals of learning about “AI” and “Machine Learning” without a clear plan. I did it because I find these topics interesting, not for a promotion or career change.
Here are three unexpected benefits of the program:
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I opened an IRA and increased my 401k contributions. I had no idea about stocks, but I learned about the stock market and investing in stocks through my Machine Learning for Trading course.
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I learned to study effectively. The program was challenging and I had to work hard to keep up. Deadlines were real, projects were large and vague, and I had to actually learn the material to pass the exams.
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I made connections with other students and alumni. I joined the program’s Slack and participated in study groups and office hours.
Overall, I’m glad I did the program. It challenged me and helped me grow as a software engineer and as a person.
Get in Touch
If you want to hear more, I’m happy to talk to you about the program as a recent alumni. Send me a message!