Want to shape the future of AI? Georgia Tech’s Online Master of Science in Computer Science (OMSCS) offers a groundbreaking opportunity to put one foot into the world of artificial intelligence as you make your way up the corporate or any other career ladder.
This adjustable, affordable, and top-class program is created with your needs in mind. The program gives you the same opportunities as any on-campus student would have. No need to drop that full-time job when you can pursue this alongside your work!
Reasons to choose Georgia Tech’s Online MS in Computer Science for Artificial Intelligence
There are several key features that make Georgia Institute of Technology’s program desirable:
- World-class faculty: Offers learnings from top experts in AI and computer science.
- Flexible learning: Balance work, life, and studies with a self-paced, online format.
- Practical applications: A wonderful hands-on experience through real-world projects.
- Strong community: Connect with fellow students and industry professionals worldwide.
- Career advancement: You get a chance to boost your earning potential and synonymously open doors to exciting opportunities
Overview of MS in CS at Georgia tech with three Artificial Intelligence Tracks
Tuition & Fees
- Tuition is $180 per credit hour.
- Total cost is $5,400. Each course is 3 credit hours and each course costs $540.
- Fees are $107 per credit hours each academic term of enrollment, which includes the technology fee.
- Fees are assessed only for enrolled terms.
Program Requirements
- A minimum of 30 credit hours (10 classes) is required to complete the degree.
- Specializations require 12-15 credit hours; the remaining 15-18 credit hours are “free” electives.
Time to Completion
- The typical time to complete the program is about 3 years.
- Students can extend their enrollment for up to 6 years if more flexibility is needed.
Degree & Diploma
- The degree awarded is a Master of Science in Computer Science, the same as the on-campus version.
- There is no “online” designation on the diploma or transcript.
Program Structure & Support
- The OMSCS program offers a tiered structure for student support, including communication through email, discussion boards, and virtual office hours.
- Students interact with professors and teaching assistants (TAs) for academic support.
Additional Questions by Students
- A secure form is available for submitting questions, with responses handled efficiently.
Choosing the Right Artificial Intelligence Track in MS in Computer Science
Georgia Tech’s Online Master of Science in Computer Science (OMSCS) and its Artificial Intelligence Specializations are a goldmine for anyone eager to dive in. While the university offers 11 specializations in its OMSCS, we can focus on the three related to AI. The program offers something for everyone—whether you’re keen on teaching machines to learn, building robots that think for themselves, or designing smarter ways for humans and machines to work together.
Let’s take a closer look at these exciting AI-driven tracks and what they bring to the table:
Computational Perception and Robotics: Teaching Robots to See, Think, and Act
If you’ve ever wondered how self-driving cars navigate the world or how robots learn to pick up objects, the Computational Perception and Robotics track is where you’ll make that magic happen. This track fuses AI with robotics, letting you explore how machines can perceive their surroundings, understand visual data, and make autonomous decisions. Get ready to learn how robots not only see the world but react to it—whether it’s identifying objects through computer vision or learning to move through an environment with machine learning.
Core Subjects (Required 9 hours)
From this list of algorithm courses, students must pick and pick one more course from the last two options:
- Computability, Algorithms, and Complexity
- Introduction to Graduate Algorithms
- Computational Complexity Theory
- Design and Analysis of Algorithms
- Approximation Algorithms
- Randomized Algorithms
- Computational Science and Engineering Algorithms
- Artificial Intelligence (choose this or last one)
- Machine Learning (choose this or last second)
Electives (Required 6 hours)
Students have to pick one course atleast from both Perception and Robotics disciplines and three in total electives.
Perception: Computational Photography; Computer Vision; 3D Reconstruction; Computational Perception; Cyber Physical Design and Analysis; Machine Learning for Robotics; Natural Language
Robotics: Autonomous Robotics; Autonomous Multi-Robot Systems; Human-Robot Interaction; Artificial Intelligence Techniques for Robotics; Interactive Robot Learning; Robot Intelligence: Planning
This track is perfect if you want to be at the forefront of AI that powers real-world systems like autonomous vehicles and intelligent robots. If you dream of robots that can think and learn on their own, this is the place to be!
Interactive Intelligence: Creating Smarter, More Human-Like Machines
Ever wish your virtual assistant understood you a little better? Or that robots could have more natural conversations? That’s where the Interactive Intelligence track steps in. This specialization is all about teaching machines to understand and interact with humans in more intuitive ways. Whether it’s enhancing human-computer interactions, building systems that can understand natural language, or creating AI that can learn from and adapt to human behavior, this track lets you explore how machines can truly “think” like us.
Key Areas
- Human-Computer Interaction: Making technology more human-friendly.
- Natural Language Processing: Teaching computers to understand, interpret, and respond to human speech.
- Knowledge-Based AI: Enabling systems to reason and solve complex problems on their own.
Core courses (Required 9 hours)
Students need to select two courses from the following Artificial Intelligence-related courses:
- CS 6601 Artificial Intelligence
- CS 7637 Knowledge-Based AI
- CS 7641 Machine Learning
Students must also pick one course from the below list of Algorithms and Design discipline courses:
- Software Development Process
- Advanced Topics in Software Engineering
- Computability, Algorithms, and Complexity
- Introduction to Graduate Algorithms
- Computational Science and Engineering Algorithms
Electives (Required 6 hours)
Students must pick two courses from this list of electives. We suggest choosing from AI Methods as it is the most applicable:
- AI Methods
Computer Vision; Multi-Robot Systems; Game AI; Human-Robot Interaction; AI Storytelling in Virtual Worlds; Deep Learning; Machine Learning with Limited Supervision; Natural Language; Special Topics: Advanced Game AI - Interaction
Introduction to Health Informatics; Educational Technology: Conceptual Foundations; Computational Journalism; Computational Social Science; AI, Ethics, and Society; Human-Computer Interaction - Cognition
Introduction to Cognitive Science; Modeling and Design; Human and Machine Learning; Special Topics: Computational Creativity
This track is ideal for those who want to make machines smarter about understanding humans and interacting with them in meaningful ways. Whether you’re into building smarter assistants or designing robots that can work seamlessly with humans, this is where AI and human interaction collide.
Machine Learning: The Art and Science of Teaching Machines
If you’ve ever wanted to teach a machine to think, learn, and make decisions on its own, then the Machine Learning track is your playground. From building algorithms that can predict the future to designing neural networks that learn from massive datasets, this track is perfect for those who want to get into the nitty-gritty of machine learning. Get ready to learn everything from deep learning to reinforcement learning, and turn raw data into actionable insights that make AI systems smarter, faster, and more accurate.
Key Areas
- Machine Learning Algorithms: Teaching computers to learn patterns and make predictions.
- Deep Learning: Going deeper into neural networks to unlock AI’s true potential.
- Reinforcement Learning: Creating AI that learns through trial and error, just like humans.
Core Courses (Required 6 hours)
Pick one of the following Algorithm courses:
- Computability, Algorithms, and Complexity
- Introduction to Graduate Algorithms
- Computational Complexity Theory
- Design and Analysis of Algorithms
- Graph Algorithms
- Approximation Algorithms
- Randomized Algorithms
- Computational Science and Engineering Algorithms
Also, pick a single additional course from the below two:
- Machine Learning
- Computational Data Analysis: Learning, Mining, and Computation
Electives (Required 9 hours)
Students must pick any three electives from this list:
Big Data Systems & Analysis; Computer Vision; AI, Ethics, and Society; Network Science; Markov Chain Monte Carlo; Spectral Algorithms; Machine Learning Theory; Pattern Recognition; Behavioral Imaging; Reinforcement Learning and Decision Making; Deep Learning; Machine Learning for Robotics; Machine Learning for Trading; Natural Language; Special Topics: Probabilistic Graph Models; Web Search and Text Mining; Data and Visual Analytics; Big Data for Health; Computational Statistics; Bayesian Methods; Stochastic Optimization; Approved Substitutions
If you’re fascinated by how algorithms can be trained to recognize images, understand speech, or even make complex decisions, this track is where you’ll hone the skills to make that happen. From predictive models to systems that evolve based on data, the possibilities with machine learning are endless.
For more information, check out CollegeHippo’s simpler, shorter and precise video-essay on Online Master’s in Computer Science-Artificial Intelligence specializations on our YouTube channel.
Georgia Tech Online Master’s Admission Requirements
To be considered for admission to the artificial intelligence tracks in Online Master of Science in Computer Science (OMSCS) program at Georgia Institute of Technology, you should ideally possess an undergraduate degree in Computer Science or a closely related field like Mathematics, Computer Engineering, or Electrical Engineering. A strong academic record, indicated by a cumulative GPA of 3.0 or higher, is also preferred. However, don’t let these qualifications discourage you. If you don’t meet the exact criteria, your application will be evaluated on a case-by-case basis.
In a nutshell, key requirements for all applicants:
- High GPA: Your scores should be more than 3.0 ideally
- Undergrad Education: A bachelor’s degree in Computer Science or a closely related field like Mathematics, Computer Engineering, or Electrical Engineering.
- Academic Credentials: You must have earned a bachelor’s degree or equivalent from a regionally accredited institution.
- Letter of Recommendations: You must submit contact information for three LoRs.
- Resume: Submit a resume with your past work and education experience in your application package.
- GRE scores: Students do not need to mandatorily submit GRE scores!
Important Note: Meeting the minimum requirements doesn’t guarantee admission. The program is highly competitive, and a strong application is essential.
What happens in your first year?
To progress in the program after the initial year, you’ll need to complete two foundational courses with a grade of B or better. These courses are designed to provide you with a solid foundation in core computer science concepts, such as algorithms, data structures, and programming languages.
What’s the Application Process Like? Here’s the Inside Scoop
Best Parts of the Application Process: What We Liked About It
The application process for the Online Master of Science in Computer Science (OMSCS) at Georgia Tech with its Artificial Intelligence tracks offers a clear and structured path for prospective students. One of the highlights is the transparency in application requirements and deadlines, which ensures applicants know exactly what to submit and when. This also includes not submitting any GRE scores as a mandate which allows room for flexibility and diversity in the application pool. The year-round application window for both Fall and Spring semesters offers flexibility, allowing applicants to choose the best time to apply. Additionally, the inclusion of detailed guidelines for the submission of transcripts, recommendation letters, and other materials streamlines the process, ensuring that applicants don’t miss any critical steps. The Early Decision process for Fall 2025 applicants adds another layer of clarity, enabling those who apply early to potentially receive faster results. Finally, the inclusion of supplemental questions in the application gives applicants an opportunity to provide more personalized insights into their qualifications, enhancing the overall experience.
Areas for Improvement: Our Feedback
While the OMSCS application process is well-structured, there are a few areas where improvements could be made. One challenge is the relatively rigid approach to the “Yes/No” questions in the supplemental section, which requires applicants to answer “Yes” to all questions. If applicants inadvertently answer “No” to any question, they must go back and make corrections, which can be time-consuming. Another area for improvement is the 10-12-week wait for admissions decisions. Although this is understandable due to the volume of applications, it can be stressful for applicants who are eager to know their status. Providing more frequent updates during this waiting period or a quicker decision timeline could help alleviate anxiety.
Is Georgia Tech’s MS in CS-Artificial Intelligence less than $6000?
Alright, let’s talk about the green stuff—tuition. It’s the elephant in the room, but don’t worry, this elephant is on a budget. The Master of Science in Computer Science (OMSCS) at Georgia Tech brings an unexpected twist to your typical grad school price tag. The program charges $180 per credit hour, which is a solid deal for a top-tier program, but here’s the real kicker: if you decide to take more additional credit hours, the cost drops to just $107 per credit hour.
So, what’s the catch? There isn’t one, really. The per-credit rate stays the same whether you’re tackling one class or juggling a few, which means you get a nice little discount if you take a heavier load. That’s right—taking multiple classes actually gives you a discount, which makes sense, considering the flexibility of the online format. You get the chance to pack more learning into your schedule without paying extra. This is a refreshing change from traditional grad programs, where tuition tends to rise with every additional class you take.
Extra Financial Help: Exploring Funding Options
Worried about funding? You’re not alone. Luckily, there are several ways to ease the financial burden. OMSCS students are eligible for financial aid just like any other graduate student at Georgia Tech. So if you need some extra help, don’t hesitate to reach out to the Office of Scholarships and Financial Aid to see what options are available.
And don’t forget to check with your employer—many companies offer tuition reimbursement or assistance programs. Given the affordable pricing of OMSCS, some employers’ modest subsidies might even cover the full cost of your degree! So, if you’re already working in the tech field, it’s definitely worth having that conversation to see if your education can be fully funded by your employer. It’s like getting paid to learn—what could be better than that?
Our Overall Review of the Online Master’s in Computer Science with AI track at Gerogia Tech
What really stands out about the OMSCS program with its is its world-class faculty—you’ll be learning from experts who are not only thought leaders in their fields, but also passionate about sharing their knowledge. The practical, hands-on learningensures that you’re not just absorbing theories, but applying them to real-world challenges, which can be a game-changer when it comes to career advancement.
Flexibility is another huge selling point: the program is entirely online, self-paced, and designed with working professionals in mind, allowing you to juggle your studies with life’s other commitments. With the added benefit of Georgia Tech’s global network, you’ll connect with a diverse and vibrant community of students and professionals, all while enhancing your career prospects and boosting your earning potential.
From a tuition perspective, this program is hard to beat. With a rate of just $180 per credit hour and the option to take more credits at a discounted rate of $107, the value for such a top-tier degree is incredible. And with financial aid and employer reimbursement options, you might find that getting an OMSCS degree is easier on your wallet than you think.
Per Credit cost of Georgia Tech’s $540 vs. Ivy League’s $3,500—Which Is the Better Deal?
When comparing the Online Master’s in Artificial Intelligence programs at the University of Pennsylvania (UPenn) and Georgia Tech, cost is a major differentiator. Georgia Tech’s OMSCS program stands out for its affordability, with a rate of just $180 per credit hour, and further discounts available for taking additional credits. This makes it an excellent option for professionals who want to gain AI expertise without putting a strain on their finances. In contrast, UPenn’s program is much more expensive, with a total cost of $35,000 for the full degree. While UPenn offers federal financial aid and scholarships to help offset the cost, Georgia Tech remains the more budget-friendly choice, particularly for those looking for an affordable path to advance their career.
When it comes to reputation and curriculum, both schools offer strong programs, but with different areas of emphasis. UPenn, as an Ivy League institution, brings a prestigious degree that can carry significant weight in academia or more traditional sectors. On the other hand, Georgia Tech, while not an Ivy League school, is known for its hands-on approach, innovative research, and a focus on practical applications, especially in robotics and machine learning. Georgia Tech’s flexible, self-paced format also allows working professionals to balance their studies with career commitments, while UPenn offers a more structured experience, with specialized electives and a new AI practicum to provide real-world application. Ultimately, if you prioritize flexibility and cost-effectiveness, Georgia Tech is the clear winner, but if prestige and financial aid are more important to you, UPenn could be the better choice.
Almost the Same: Georgia Tech’s $5,400 vs. UT Austin’s $10,000
Georgia Tech stands out with a total cost of just $5,400 for the entire program. It offers flexibility, allowing up to 6 years to complete, and provides specialized tracks in Machine Learning, Robotics, and Interactive Intelligence. However, it lacks the high-profile prestige of UT Austin, which comes with a $10,000 price tag. UT Austin’s program is globally recognized, featuring top-tier faculty and a mix of theoretical and practical learning. If you’re after a prestigious degree with strong industry connections, UT Austin is the better bet.
Comparing Artificial Intelligence Excellence: Johns Hopkins vs. Georgia Tech
When it comes to the world of AI, two giants loom large: Georgia Tech and Johns Hopkins. Georgia Tech offers a flexible, cost-effective online path with its OMSCS, featuring three specialized AI tracks. Here, you can learn from top-tier faculty, build robots that think, and engage in real-world projects—all for a budget-friendly price. On the other hand, Johns Hopkins’s AI Master’s presents a prestigious, in-depth curriculum blending theory and practice. With its robust core and wide array of electives, you can dive deep into AI, from machine learning to robotics. But the price tag is hefty—and mathematical prerequisites are a must. Whether you prefer the flexibility of Georgia Tech or the rigorous prestige of Hopkins, both programs promise a thrilling ride through the AI frontier.
References
- https://omscs.gatech.edu/about-omscs
- https://omscs.gatech.edu/specializations
- https://www.cc.gatech.edu/ms-computer-science-specialization
- https://s1.bursar.gatech.edu/student/tuition/sp25/sp25_totals_page_11122024.pdf
- https://omscs.gatech.edu/deadlines-decisions-requirements-and-guideline
- https://www.youtube.com/watch?v=VI6ycmp8EqU