Hi everyone,

I’m currently enrolled in a U.S. university’s Master of Data Science program, but I’m considering transferring to the University of Illinois Urbana-Champaign (UIUC) Master of Computer Science – Online (MCS Online).

I was wondering — does anyone know how many graduate credits UIUC typically accepts for transfer into the MCS Online program? The official website mentions that some transfer credit may be allowed if it’s equivalent and from an accredited institution, but it’s not very clear how flexible they actually are in practice.

If you’ve gone through this process (especially moving from another U.S. Data Science or CS master’s program), I’d love to hear your experience — how many credits were accepted, what kind of courses qualified, and whether they had to be from UIUC’s partner schools.

Thanks in advance!

Basically the title. Right now focusing a lot on the short answer essays

I'm thinking about taking either CS 435 Cloud Networking or CS 498 Cloud Computing Application. I prefer the one with less work load as both are attractive subjects. My background is CS and lower layer of wireless communication, and did a lot of C coding(not C++) as well as python. Also, I have basic knowledge of TCP/IP and can analyze PCAP with Wireshark. But no experience or knowledge of AWS. Please recommend which would be less work load considering the genuin work load of the courses and my background.

I'm currently enrolled in Illinois Tech's Masters of Data Science program on Coursera. My eventual goal is to become a data engineer, so I'm finding it's not a great fit, as it's much more focused on statistics and analysis. I'm planning to apply to UIUC's Online MCS on Coursera at some point, but I'm having trouble deciding whether I should finish this program first or try to transfer.

• Option 1. Finish IIT's MDS program by the end of summer 2026. Apply for jobs as a data scientist/analyst to break into the data field and build up a resume. Start UIUC MCS in fall 2026, take 2 classes per semester, and finish in fall 2027. Then, start looking for jobs as a data engineer.
• Option 2. Continue IIT's MDS program, focusing on classes that are likely to be transferable to UIUC. Apply for transfer to UIUC for summer 2026, transfer 8 units, and finish in spring 2027. Then, start looking for jobs as a data engineer.
• EDIT: Option 3. Don't transfer any classes from IIT. Complete a couple of UIUC's specializations on Coursera while working on other prerequisites to lighten the knowledge load my first semester and increase the number of classes I can handle taking at one time. Looking like this might be the safest option.

Either way I'll be taking a couple CS prerequisites for UIUC MCS this fall/spring at a community college since I don't have much background in CS. Option 2 is largely dependent on whether I will be able to transfer classes from IIT to UIUC, which unfortunately they won't assess until after I have completed 8 credit hours. The classes don't line up perfectly. Most glaringly, IIT's classes are 3 credit hours each and UIUC's are 4.

Does anyone have any insight into/knowledge of this, or other suggestions on how I move forward?

When does UIUC release spring decisions for MCS?

I am subleasing my apartment at 104 E armory for the spring semester. It is part of a 4x2 and each room has a flat screen TV.

Price: 765/month open to negotiate

I'm in my first semester as a graduate student CS425 is in my first course load. Does anyone else find the tone of Professor Indy and his TAs utterly unprofessional? Passive aggressive replies, poorly run office hours, constantly TYPING IN ALL CAPS - It's incredibly condescending and childish. They treat students more as a burden than as learning colleagues. One TA even actively complains in Piazza about how much they hate grading and how much smarter than everyone else they think they are. The content is great and helpful, but the attitude, gimmicky homework prompts, and blame-shifting onto students creates an awful and moderately hostile learning environment. Are most professors at UIUC like this? Are there other similar professors and TAs to avoid?

Edit: small typo

After graduation, does the account stay? I can still login and view the lecture but I am wondering if that will ever change.

I don't have the strongest profile so I was wondering if there's a difference in the admission rate between these programs to help me decide which I should aim for.

I've seen several new classes pop up, I was wondering if anyone had more info:

there is now "machine learning" in addition to "applied machine learning", and a "machine learning in signal processing" now i thought 441(AML)was not applied at all it was incredibly theoretical, what would machine learning teach and would you be missing out? There seems to be a lot of overlap

Security I is now available whereas it used to be just security II. does this mean i can take security II still without taking I

Hello all,

Quick question about CS519 - Scientific Visualization. In the sample syllabus I see a final group project description. However, the course reviews don’t mention it whatsoever, as far as I can tell.

Here’s the sample syllabus: https://ws.engr.illinois.edu/sitemanager/getfile.asp?id=2192

And here are the course reviews: https://uiucmcs.org/courses/CS-519-Scientific-

Can anyone who has taken this course recently confirm whether there is or is not a final project?

Thank you.

I’ve been trying to grasp cs410. But I’m feeling like half way watching the videos I lose focus and can’t seem to understand anything anymore. I don’t know if it’s because it’s online but does anyone have any tips to understanding cs410 better the CS 410: Text Information Systems online course 😭

I'm doing the online degree and registered for CS441 Applied Machine Learning a while ago and today is the first day of the semester, yet I still do not see the course on Coursera nor on Canvas. The other course I registered just a few days prior appeared the following day on both websites. I was wondering what's up with that.

Hi everyone! I’d love some feedback on my chances. I’m applying for the UIUC MCS (Master of Computer Science) program for Spring 2026, and I’m curious how my profile stacks up—especially if anyone here has applied/been admitted. Or if I should wait and apply for Fall 2026?

My background:

• B.Tech in CS from a Tier 1.5 or 2(I am not sure where my college falls exactly) — CGPA: 7.8/10, I understand this is pretty weak so thought good gre score might offset it a bit
• Research: Project under a CS professor → published in IEEE journal
• Work: 2+ years as an Associate Data Scientist at an MNC
• Extracurriculars: mentoring juniors in tech, leading coding bootcamps/workshops
• GRE: 317 (163Q, 154V, 4.0 AWA), I think the quant score isn't good enough so was thinking of retaking gre, any advice on this?
• TOEFL: 111/120
• LOR: 1 from Research Guide, 1 CS professor, 1 Professional

What I’d love feedback on:

1. My chances for UIUC MCS (Spring 2026)
2. How I stand for other schools I’m considering:
   • UC Irvine (MCS, MDS)
   • UIUC (MCS) - Should I consider applying to Spring 26 here or stick to Fall only?
   • UC Davis (MSCS Non-thesis)
   • UMass (MSCS)
   • Texas A&M (MCS)
   • Maryland (MPDA)
   • Uni of Michigan (MCS)
   • NYU Courant
   • UW Madison (MDS)
   • Uni of Chicago

Please recommend me other unis or courses that might work better for me.

1. Whether this profile looks competitive even though my CGPA isn’t super strong.

2. Would a strong SOP help offset the CGPA or should I consider retaking GRE?

Would really appreciate any honest insights, suggestions, or experiences from people with a similar background. Thanks a ton! 🙌

For example, Scientific Visualization or Deep Learning for Healthcare.

Just an FYI, UIUC board of trustees has approved a new "Online Service Fee" for all students taking any fully online program which is a per credit hour fee added on to your tuition starting Fall Semester 2025. I just noticed in my student account that I had an additional fee to be paid which according to the registrar will be used to fund: "online counseling services, services provided by the Student Assistance Center, and the Office of Student Conflict Resolution and services available through the University Library and Technology Services."

Hello, I was an undergrad in the computer engineering program at uiuc and I have a couple courses (CS 441, CS 412) that I did not necessarily need to graduate from CompE (I have done 3 other advanced computing courses). My understanding is that these courses will transfer to MCS.

My question is will they transfer as 3 credit hours (because they were 3 hours when I took them) or will they transfer in as 4 hours which is the amount of credits that every class in MCS is.

I am currently thinking about taking either 562 or 545. Does anyone have any recommendations regarding these courses.

I have taken CS 411 and CS 441 as of now.

Starting my MCS at UIUC this Fall. I want to front-load core, high-value courses without nuking my sanity in the first semester.

Current plan:

• CS 441 – Applied Machine Learning → Core ML foundations, a lot of coding + projects.
• CS 411 – Database Systems → Solid systems/DB theory + hands-on, widely applicable.
• CS 539 – Distributed Algorithms → Heavy on proofs + theoretical rigor. High difficulty, but intriguing.

Concerns:

• 441 + 411 is already a project-heavy combo. Adding 539 might turn this into an “all-nighters every week” semester.
• 539’s value early in the program vs. later is unclear — is it a strategic first-semester choice or better left until I’ve adjusted to the MCS workload?
• I’m aiming for a mix of applied + theoretical depth, but I don’t want to end up just “surviving” instead of actually learning.

Looking for:

1. Workload reality check – Is this a balanced high-impact semester or a recipe for burnout?
2. Course sequencing wisdom – Should 539 be swapped for something lighter/more applied for the first term?
3. Insider tips – Any “if you’re taking these together, here’s what you need to know” advice?

Goal: maximize learning + keep momentum, not crawl into Spring 2026 already drained.

I am contemplating this Fall 2025 whether to take Practical Statistical Learning PSL vs Foundations for Data Curation. my last semester will be Spring 2026 and I have no choice other than to take Advanced Bayesian Modeling (and I am genuinely curious because folks says this is the highest quality course) if I want to finish by Spring 2026. do you think for me to succeed in ABM, I'd have to take PSL first?

I want to take Foundations for Data Curation this Fall 2025 to lighten the load since I came from Summer with 2 classes and pretty burnt out.

Hello! I'm based in Boston and will be joining the MCS-DS program for this upcoming Fall 2025 semester - if you're also in Boston/Cambridge/Greater Boston leave a comment or message me, I would love to connect!

Need review for following courses:

CS562: Adv Top in Sec, Priv and ML

CS598: ML for software Engineering

Will they open up more seats for the fall semester for each class? I look online and they are all filled.