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• 3 Credit Hours
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Study for the midterm and final. Doing bad on those are the only way you could get anything lower than an A.
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It's a decent course, with a fair bit of writing. My main gripe was the heavy portion of exam in overall grade. I somehow did poorly on my finals, but thankfully still managed to get an A owing to full marks on midterm. The lectures are decent, but don't rely only on them to get good marks.
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This has to be the easiest course in the program. The entire course is opened up immediately. It took about 2 1/2 weeks to comfortably complete the entire course.
My only two pieces of advice-
After that, just monitor your email every week or so to watch the grades roll in.
Really light workload, 5 hours a week is being generous. Class is well organized and they provide everything up front at the beginning, so you can theoretically finish the whole class in the first week.
Only "difficulty" is the memorization required for the exams. I scored a C on the midterm, so for the final I made sure to create and memorize flashcards and be able to recite all of the terms from memory which got me an A on the final and thus the course. Outside of the exams, there are 5 case study responses where you ready a case study and analyze it and weekly discussion posts where you need to respond to their prompts and reply to someone else. If you're able to finish most of the coursework ahead of time you'll just need to make sure you respond to another classmate's discussion post to get full credit for that week.
Also it's crazy that this needs to be said, but please create your own response for the posts instead of just using ChatGPT.
Finished the course with an B, achieving a 83.71 %
Background: Bachelor's degree in Computer Science from a university ranked #350-400 out of 436 National Universities in U.S. News English is my second language (TOEFL score: 95/120) 1 year of experience as a full-stack developer and 6 months of experience in data analytics
Overall: This is probably the only B I got in the OMSCS program. I got As in my other courses like GA, ML, AI, KBAI, etc. I took this class because I felt a bit burned-out and wanted an easier semester, but it turned out harder than I thought based on my background. The biggest challenge was the exams because they focused too much on remembering English words and terms. Since English is not my first language, the questions were long and hard to understand sometimes, even though I studied.
Still, I don’t regret taking this class. It was well organized and helped me learn how people use computers and mobile devices. As a data analyst who builds machine learning models for medical systems, this class gave me good ideas about how to collect and use user data.
Major-Case Reflection Assignments (20 / 20%): These assignments are interesting, and as long as you understand what the question is asking and answer it correctly, it shouldn’t be a problem to get 100s.
Weekly Mini-Case Discussions (20 / 20%): Smaller than Major-Case, you only need to watch the lecture video and explain what you think about the question. It’s fun and helps you learn some real historical cases.
Midterm Exam & Final Exam (22.28 + 21.43 / 60%): The weight for this is just too high, as the overall summary explains. I tried my best.
Overall it is an easy A course for sure and a good fit for summer semester:
It is not a CS or CSE course so you should not expect much coding experience around. However, it is a good summer course for anyone wanna take a mental break.
Taken summer 2025.
Well. Based on the reviews, I'm probably the first person in the history of this course to get a B. I was silly to think that I didn't need to study and for that, I got a B in what everyone is calling the easiest class of their careers. Oof. I'm not angry, just disappointed.
Seriously though. Don't be a dumbass and not take it seriously. I got hundreds on all the assignments, a D on the midterm and an A on the final so woe is me. A few more points and I would've been good so I can see why everyone says the course is easy.
Content is not bad at all, fairly interesting, lectures are well made. Personally, I felt that the homework didn't really add anything to the course which consisted of answering questions for the Harvard case studies we had to purchase ($25) and responding to other students was more of an annoyance than an insight. Everything is released on day 1 so that was nice. Lectures are taught by Professor Buchanan who is no longer with GaTech (to my knowledge) and maintained by Professor Citrin who is very active in Ed discussion should there be any issues.
Overall, a decent course. I thought I would like it more than people made it out to be, but it was far from the worst course I've taken so far in the program.
For context, I'm an OMSCS student, never taken a business class before.
Also, I agree with a previous poster. Don't use ChatGPT for this class. If you do, you don't deserve this degree.
Taken Summer 2025.
By far, the best thing about this course is that it releases all of its assignments upfront, including the exams. The only assignments you might not be able to complete right off the bat are the ones that require you to respond to other students, but there will probably be enough students trying to work ahead that you won't have to wait long.
Other great things about the course: it's well-organized, with very clearly written assignment instructions and clear lectures. (If you've been around the block before, you'll know this is not a given for OMSCS classes.) Also, there's no group work, and it's easy as hell.
As for the content--I have zero marketing experience but work as a SWE for an eCommerce company that's been trying to rethink its marketing strategies. As a result, I found this class to be quite interesting and informative, in addition to being low-stress.
Assignments include weekly forums posts & responses to students, four major case studies for which you'll need to answer 3-4 short answer questions (save yourself some grief and just use JDF), and two MC exams that should be no sweat assuming you've watched the lectures.
Great class to pair up with another course. Or just take it by itself and enjoy life for a semester.
The lectures are concise and give a good overview of the field of digital marketing.
The assignments are well thought out and I learned a lot from this course.
My main concern is the way this course handles feedback. For the short weekly assignments, we are expected to come up with a small write-up and do a peer review of other student's submissions. This I felt didn't give me any good pointers and I felt that this was a convenient way of reducing the load on the teaching staff.
Even for the major case studies, the feedback I received was very sparse and didn't really match up to the effort I put into the case study.
For a graduate-level course, receiving such little effort and feedback is not good. I feel this course could benefit from having a smaller cohort size or increasing the number of TAs.
Good course if you want to have a breather semester. You still end up getting a broad overview of the field digital marketing.
This review is for Summer 2024.
This was my final course in OMSCS after doing the ML spec with two classes per semester over the last year, and I'm pretty burnt out so it was welcome to have a very light workload. This class took me 1 hr / week with ~4 hours to prep for the two exams (so 2 hrs/week averaged out), and my final grade in Canvas is a 94%. You do have to pay ~$25 to buy a coursepack from Harvard Business School with the cases, so just be aware of that.
The lectures are high quality and provide a comprehensive albeit survey level intro to Digital Marketing. Most of the subjects in the course are relatively easy to grasp with just basic intuition, with the only technical subject matter being SEO in my opinion.
There are mini-case discussions, major-case discussions, and two exams (midterm and final). Mini-case discussions are easy 100s if you put in a modest amount of effort to articulate original thoughts on the case and participate in the discussion. Major-case discussions are also easy 100s if you answer the questions thoroughly and (again) show original insights and give it your best effort.
The midterm (I got a low B) is harder than the final (I got a high A) but both should feel like a victory lap if you've done any of the harder classes in the program. Neither required more than 4 hours of studying for me.
This course gets a 5/5 from me since everything is released ahead of time and there's great support from the staff and TAs. If you really wanted to, you could be done with the whole class in exactly a week, assuming a few of your peers are also working ahead at the same pace (since you'll need to respond to them on Canvas for discussions). This really allowed me to de-stress and enjoy my last OMSCS summer, especially after doubling GA with another class last semester.
If you have to use ChatGPT for this class, you don't deserve an MS in CS. Please be better than that.