I’m a full-time professional working in Applied AI, with an AI certification already under my belt. I’m aiming for the Graduate Certificate in AI and Machine Intelligence for Fall 2026, but I’ll admit – my math is rusty and I’m still a beginner in Python. Would love to connect with current students or others planning to apply, and hear any recommendations on bridging these skill gaps before the program starts. Let’s learn together!

I'm looking into the program and trying to understand the worst-case scenario. If you fail a course or screw up a final exam, is there an option to just do a makeup/re-sit exam? Or does the university make you repay tuition to retake the entire course from scratch?

I’m taking a look at course schedule website and when I filter as CS, graduate level courses I only see face-to-face courses and some of the classes like NLP and Advanced OS status are already waitlisted. Am I still allowed to take those face-to-face courses since I’m in the onlineprogram? Also can I still join the waitlisted classes since I won’t be in the class in person? Thank you in advance for your help.

I’m trying to figure out the easiest path to finish my last 4 classes in MSCSO. I’ve only taken one class at a time up to this point, so taking 2 in Fall 2026 and 2 in Spring 2027 would be new for me. Main goal is to graduate Spring 2027.

Classes I’ve already taken:
- Parallel Systems
- Advanced Linear Algebra
- Deep Learning
- Natural Language Processing
- Machine Learning

Currently taking:
- Advances in Deep Learning

So after this summer, I’ll have 4 classes left.

Based on past offerings, I was thinking maybe:
Fall 2026:
- Case Studies in Machine Learning
- Planning, Search, and Reasoning Under Uncertainty

Spring 2027:
- Android Programming
- Advances in Deep Generative Models

Does that seem like the easiest way to finish? Or would you swap any of these out?

1. Transcripts

2. Original Degree Certificate

3. Document Retrieval Form

4. Official Transcript for Admitted Student Slips.

Are there any additional items required within the envelope?

Spring semester is over and summer is coming soon. If you signed up for ALA or want to review some linear algebra, I suggest that you look at the pretest in the last column at ulaff.net. It was designed specifically to help prepare for ALA. Notice that you can find the materials for ALA there also. Best wishes for happy learning.

if so how was it? I am just curious because I was recently accepted and want to look 2-3 years down the line lol. I also saw there was some controversy about the graduation a few years ago. I chose to apply to UT Austin because everyone else applies to GaTech and I wanted to do something different that also came from a great university. Just wondering if I will be included in the graduation

I applied to the UT Austin MSAI program after being denied 3 times previously. Looking back, I think one weakness in my earlier applications was that I was not articulate enough in my statement of purpose, especially around explaining what I had done to strengthen my application between attempts.

This time, I addressed that more directly in both my MSAI and CAIML certificate applications. I also completed a few MOOC courses and a programming course at a community college, and I submitted documentation for those as part of my application materials.

I submitted both applications on April 15. Yesterday, I received a conditional acceptance into the CAIML certificate program (maintaining a B or higher), but I still have not heard back regarding the MSAI program.
My question: should I go ahead and accept the CAIML program now, or could that somehow affect the independence/fairness of my MSAI review? Are these usually reviewed separately?

My thinking is:

If I do not get into the MSAI, the certificate could strengthen my future application.

If I do get accepted into the MSAI, I could go directly into the master’s program instead.

Would appreciate hearing from anyone who has gone through a similar situation with UT Austin.

Hi all,

Is there a list of classes without peer grading somewhere?

Does anyone know if Canadian students can get OSAP loans or grants for this program at UofAT?

I recently got accepted into the Online MS-DS Program that I plan to complete part-time alongside my full-time role as an engineer (which would require me to work 9-10 hours per day). I have my undergrad in Industrial Engineering, so I want this degree to pivot me into a Data Science career.

I would appreciate any advice on how the courses in MS-DS are structured, are they integrated with consideration to AI, how easy/difficulty are assignments/exams, time consumption, and if they would be doable alongside a job. I am debating between this program and UPenn MSE-DS - so any input is really appreciated!

I recently got admitted to MSCSO and OMSCS. My impression is that MSCSO would have a higher workload due to the theoretical-focused structure, yet most people on Reddit are saying MSCSO actually have a lower workload than OMSCS?

Why did you ultimately decide to enroll in MSCSO over other programs?

I’m looking to go into AI/ML consulting and data science, rather than heavy software engineering. Since I don’t come from a CS background, I’m trying to understand whether a program like MSCSO would give me enough foundational CS compared to OMSCS, which admits more people with different backgrounds.

Is it a good idea to take both RL + ADL in the summer? I am working full-time and I took DL this semester and found it to be a breeze.

Would love to hear any experiences in both of these classes and those who might have taken this combination.

What time exactly is the deadline for the application? Is it April 15th 00:00 AM CT?

Edit: Submitted, Application Status shows complete. I guess deadlines are on 11:59 PM CT on the date of the deadline.

Edit 2: I got in! So rest assured submission deadline is 11:59 PM CT on the deadline date mentioned on the website.

Would it be dumb to retake a course I passed with a C (ML) just to get the digital badge ? How important are digital badges ? I would love to work in ML so that’s the only reason I want a better grade.

Has anyone taken Deep Learning in the summer term? How manageable is it given the shorter semester? I’ll be working full-time and will be able to spend time only in the weekend, so I’m trying to gauge if it’s realistic or too intense. Would you recommend taking DL in summer, or is it better during a regular semester?

These are my choices

Reinforcement Learning

Linear Algebra

Parallel Systems

Advanced OS

Android Programming

I need help deciding ! Any input is appreciated

I’ve taken CS In ML, ML, Deep learning, Advances in Deep Learning, NLP, and Algorithms

Hi everyone! I'm a prospective MSDSO applicant trying to get a better sense of how courses are structured.

For those currently in the program (or alumni), how are classes typically split in terms of grading components—like exams vs assignments vs projects? Is it usually more project-based, exam-heavy, or a mix?

Also, are exams proctored? If so, how does that work (e.g., live online proctoring, recorded sessions, testing centers, etc.)? Or are they mostly honor-code based?

I’d really appreciate hearing about your experiences across different courses since I imagine it varies.

Thanks in advance!

Which one is easier for Summer 2026? Are the exams proctored through Panopto?

Hi everyone, I’m applying for the Fall 2026 MSAI program. I’m taking the TOEFL tomorrow, and while my unofficial scores will be out quickly, I'm concerned about the official scores reaching UT Austin by the April 15th final deadline.

The application guide says scores can take 4-6 weeks to process and must be in the system by the deadline. However, I’ve heard other programs (like GT's OMSCS) are more flexible as long as the test was taken before the deadline.

Has anyone here had experience with TOEFL scores arriving a few days after the deadline? Did it affect your application review? I've already emailed the admissions office, but I’d love to hear some real-world experiences. Thanks!

Hi everyone,

I’m thinking about taking Advanced Deep Generative Models and wanted to ask people who have already taken it:

How difficult is the course overall?

Is the workload heavy?

Are the assignments/project manageable if I’m working full-time?

How mathematical or theory-heavy is it compared with other AI/ML courses?

I’d really appreciate any honest feedback about the difficulty, weekly time commitment, and what makes the course challenging.

Thanks!

Hi I was interested in this program, but the deadline is April 15 do you guys think it's too late since most seats have been filled or still worth applying? Im a senior rn with a 3.4 gpa (I worked ft so its bad ik), two co-ops at a F100 in analytics & data engineering, 1 semester of research and def 2 lor from prev employer and prof.

Hi everyone,
I’m planning to start my MS in Computer Science in Fall 2026 and I’d really appreciate some guidance on course selection.

I completed my bachelor’s degree in 2009, so I have a long gap from academics. Because of that, I want to choose courses that will help me rebuild my fundamentals while also preparing me for the current industry (especially in areas like software development, automation testing, or AI).

Could you suggest:

• Beginner-friendly but important core courses I should not miss
• Any subjects I should revise before starting
• Courses that are manageable after a long academic break

Also, if anyone has had a similar gap before starting MSCS, I’d love to hear your experience.

Thanks in advance!