omscs how to choose course

by Prof. Christ Cummings 9 min read

Can I take more than 10 courses OMSCS?

How many courses can students take at a time? Effective Fall 2018, the maximum number of hours a student may take in Fall or Spring is six (two courses).

How many classes can I take OMSCS?

You are only allowed to take two courses a semester until you have completed 4 courses, while maintaining a 3.0 GPA, which then after you can take 3 courses in a semester. During summer also, you're allowed to take a maximum of 1 course unless you have special circumstances (finishing faster is not one of them).Jun 10, 2019

How do I declare a specialization in OMSCS?

A specialization must be declared before or at the same time that you apply for graduation. Specializations are declared via Buzzport on the DegreeWorks web page. There are more specializations offered in the on-campus Masters in Computer science program, which currently offers ​11 specializations​.

Is OMSCS Gatech worth it?

Overall, it is a good investment of time and very less money as compared to traditional on-campus courses, and you can count on a lot of learning and a vast network of OMSCS folks.Jun 5, 2020

Does OMSCS require a thesis?

OMSCS is also solely course-based; that is, there is no thesis option. If you want to do independent research as part of your master's work then this program is maybe not for you.Dec 20, 2018

How do I graduate from OMSCS?

OMS CS is a course-only program. Students must earn at least a “B” in all courses in their chosen “Area of Specialization”. Students must earn at least a “C” in all courses counting toward their “free” elective requirement. Students must have a minimum overall GPA of 3.0 to graduate.Oct 8, 2019

What is Georgia Tech's acceptance rate?

Georgia Institute of Technology admissions is most selective with an acceptance rate of 21% and an early acceptance rate of 27.6%. Half the applicants admitted to Georgia Institute of Technology have an SAT score between 1370 and 1530 or an ACT score of 31 and 35.

What is Interactive Intelligence in computer science?

In the context of the program, Interactive Intelligence concerns artificial intelligence and machine learning topics with a direct view of technologically interacting with humans.Feb 18, 2016

What do you mean specialization?

Definition of specialization

1 : a making or becoming specialized. 2a : structural adaptation of a body part to a particular function or of an organism for life in a particular environment. b : a body part or an organism adapted by specialization.

Can I transfer from OMSCS to on-campus?

Courses taken through OMSCS are transferable on the on-campus program as 1 to 1 equivalents so you won't be required to retake any course you took online just because you moved to the on-campus program.

Is OMSCS recognized in India?

Yes, it's recognised.

Is OMSCS accredited?

Georgia Tech and OMSCS program is accredited by the Southern Association of Colleges and Schools Commission on Colleges (SACSCOC) in the USA.Jun 8, 2021

Picking a Specialisation

There are a few specialisations available to MSCS students. Probably the most popular are Machine Learning and Interactive Intelligence.

Math prep

With the dropping of CCA, this isn’t really necessary any more. If you want to brush up on Statistics for the AI/ML courses then you can though.

Is computer vision a wildcard?

Computer Vision is included as a wildcard class, because it is one of the most highly- ranked courses available in OMSCS . In particular, this class could be taken in lieu of IOS, HPCA, or KBAI, if one of those elective courses ends up not being available.

Is graduate algorithm hard?

Graduate Algorithms has the reputation of being one of the hardest courses in the curriculum, and Big Data for Health has the distinction of having been rated both the most time-intensive and difficult course in the OMSCentral database (as of March, 2018). Both courses are required. These will be taken independently, and not taken lightly. No particular order necessary, and they do not need to be taken in sequence.

Is simulation easy?

While simulation can occasionally be easy, it often involves a lot of work. Simulation can require significant programming effort, and the data collection process required for effective simulation can be time-consuming and costly.

When was the first computer simulation?

The first use of computer simulation occurred after World War II. Stan Ulam and John Von Neumann used simulation in the context of the development of the H-bomb; specifically, they simulated thermonuclear chain reactions. Indeed, the desire to model such reactions was a primary driver in creating the first computers.

Why do we use simulation?

We might use simulation to understand whether a system can accomplish its goals. For example, we may want a fast-food restaurant to complete orders within a particular time window. We can use simulation to determine if that goal is achievable, given the restaurant's current configuration.

What is random input?

In this lesson, we are going to talk about simulation output. Random input means random output, and random output requires careful analysis. Simulation output is never independent or normal, so we need new methods for interpreting this output.

Machine Learning Spec

The machine learning specialization consists of the following courses. Passing five of these six is required, and with the revamp of DVA I may complete all six.

Five Elective Courses

The original version of this post "crossed out" various courses on the basis of my notes at the bottom of the post. Given the popularity of this page and the fluid nature of OMSCS coursework, I've decided to remove such explicit condemnations of courses. I feel that leaving that in would do a disservice to the program.

Comments from OMSCS Social Pages

The following blunt, poorly-formatted comments were very helpful in helping me decide on my course of study. I hope they are helpful to you as well. As I've commented elsewhere in this post, GA Tech OMSCS consists of a very dynamic set of courses, and things may have changed since March of 2018 when I originally did this research.

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Group A - Machine Learning

Group B - Artificial Intelligence Electives

Group C - Computer Performance Electives Using C/C++

  • With the dropping of CCA, this isn’t really necessary any more. If you want to brush up on Statistics for the AI/ML courses then you can though. 1. Book of Proof (For CCA) 2. Rosen or Epp’s Discrete Mathematics (Finish prep for CCA/GA) 3. Calculus One/Two/Three 4. Linear Algebra 5. Statistics (Not sure yet) (Finish prep for ML courses) 3-5 should b...
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Group D - Remaining Required CORE

Group E - Wildcard Elective

  • Artificial Intelligence coursework is a natural corollary to the ML specialization, so I plan to pursue the following two courses. The other AI course, Artificial Intelligence for Robotics (AI4R), sounds like a very applied course specifically related to autonomous driving. Because of its specificity and possible overlap with the more general AI course, I will forego that one.
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