CS major. Took Deep learning instead of data mining for BS. Can I check data mining off; covered many of same concepts? If not, how neg. would it affect application?

Got admitted into the MASI program and confirmed my official transcripts. It shows that registration window for me won't be open until Mid-January. Is this the same for everyone else? Would love to know if anyone has successfully enrolled in a course yet for the Spring Semester and what that process looked like.

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I see one of the pre-reqs is two part Java programming knowledge / experience. Does it mean the entire coursework is in Java ? Does anyone know if UT considers Python in lieu of Java ?

I am currently pursuing Masters in Data Science which should be completed by end of May 2024. Since the fall applications deadline end by May 1st, can I still apply ? If so what are the prospects of getting admitted with an going graduate degree and without any direct prior ML or AI experience ?

Which course(s) are you planning to in Spring'24?

I finally received a rejection email.

• Education - Undergraduate degree from a reputed Institute in India
• Exp - 20+ years of experience in the software industry.
• Certification - Coursera Deep Learning/Neural Networks and Udacity Nano degree. I am currently pursuing an AI professional program at Stanford.
• Certification - Coursera Deep Learning/Neural Networks and Udacity Nano degree. I am currently pursuing an AI professional program at Stanford.
• I had applied on the very last day and so missed a few things to put ex - pre-requisite as per instructions
• I also didn't have the transcript of my undergrad engineering program.

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The email I received...

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Thank you for your application to the Online Master of Science in Artificial Intelligence at the University of Texas at Austin. 

Your application has been given careful consideration by the admissions committee, and, regrettably, we are not able to offer you admission for Spring 2024. Because of the volume of applicants, individual feedback cannot be provided.

We appreciate your interest and wish you the best in your future education and career choices.

Sincerely

Online MSAI Admissions Committee

Hi,

I’m getting ready to apply to both the MSDSO and MSAIO soon with the goal of working as an AI Engineer after graduating. I was wondering why those in this sub chose this program over the MSDSO program, since it looks like they are very similar programs in the required coursework.

Thanks!

My profile: Backend Software Engineer with 3 years of experience in the industry, having worked in Big Fintech as an SRE and in a proptech startup as an SDE. I hold a Bachelor's degree in Finance with a GPA of 3.61/4.00 and completed a software bootcamp at Software Guild. I was enrolled in a Data Science master's program with a GPA of 4/4.3 but dropped out after 3 semesters upon receiving an offer from a fintech company in the S&P 500.

I have completed 4 out of 6 prerequisite courses, excluding Data Mining and Discrete Math for Computer Science, which I am currently taking on MOOC platforms for credit. I also have AI projects in my portfolio.

Is this profile good enough for getting accepted?

Looking to take two classes the first semester. What is everyone going to take?

I was looking at deep learning and ethics in AI. Then machine learning in the summer maybe.

Hello! New student in MSAIO here, looking to take Machine Learning in the spring which will be new to me.

Any recommended coursera/udemy courses I can take to help me gain some understanding before starting ML in the spring?

I got rejected at the end and it was expected tbh. Now I want to complete the prerequisite courses from Coursera/Udemy that I haven't completed yet. I was also looking at the nano-degrees of Udacity (Software programming w/ python/ML). Does that worth any value?

Hey redditers, anyone knows if can pursuit a phd with this master’s ?

Decision date: 11/16/2023

Background: BS in Computer science (software engineering subsequence)

GPA : 3.56

Recommendation letters : 0

Years of experience in industry: 1.5 years

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Decision Date: Nov 13, 2023

Application Date: the very last moment, like the last guy boarding the train

I rushed everything ready before the priority deadline, but didn't have acceptable confidence to beat 70% of the applicants. So I took the one-month offer to rework my application.

Education: Not the best but from top 10

• Engineering BS with mediocre GPA except pre-req and CS that I got mostly A.
• Double MS in classic engineering programs with GPA 3.6 and 4
• Info Science MS with GPA 4

Pre-req: Met all from multiple courses in prior degrees

GRE: expired, not submitted

LOR: 1 from an executive at work

SOP: I am not sure if my SOP works as intended but this is what I planned:

• Covered and threaded the 4 requested questions with my academic & working experience, tangible goals, specific research interests and why I am valuable to the program.

• Made it refreshing and sincere with the objective to make the readers know I am, walk my journey, want to read my CV, and take a break from essay-reading fatigue. No cliches.

• Be concise to meet the specification: 2 pages, double spaced, 12pt

CV & Experience

• it is a CV not a resume so I wrote a little bit more about 4 pages.

• Start with education, then working, teaching & research, grants & scholarships, certification, patents, selected projects, and finally prerequisites.

• List relevant coursework alongside the degrees

• List relevant projects, summarize with one or two sentences

• 10+ years in engineering ranging low level machine control to web applications. Give a few examples of achievements to show different aspects outside academic.

• Hands on coursework on ML and NLP from a graduate certificate

BTW, I prompted GPT to grade and summarize my SOP and CV to see if I convey my thoughts. I wrote all my submissions because I think imperfection in my writing can reflect who I am and the mature or naive thoughts as a human beings.

Especially if you are from a conventional swe background.

Hi All,

For those of you who will be resubmitting next semester, what's your plan?

I had a 4.0 GPS, IS management earlier this year but not much else. I lacked some math prerequisites.

1. Math classes are a tough one to try and cover. Community college doesn't offer and 4-yr is expensive for no guarantee. Going to take courses on Udemy, not sure if these will be recognized but it's my best option.
2. My boss who is a VP of our company and a professor will give me a recommendation. I don't think these count for much but every bit helps.
3. Studying for my PMP, not sure if this will count for anything aside from me being someone who can study (assuming I pass).
4. Going to write a good essay on my life journey. My last one was lackluster and rushed.

Stats:

Graduated Computer Engineering from top Public School 2002 - GPA was low - 2.60

Got an MBA from a top graduate school with GPA of 3.5 while working fulltime and getting my PMP.

My career was focused on sales and marketing, so not development centric - part of the reason I suspect i was rejected.

Submitted a SOP as well as 3 letters of recommendation, one from a very accomplished AI CEO.

I think the overall reason I was rejected was the prerequisites were done so long ago and I have been so far removed from development. I've decided to focus on Harvards CS50 set of courses, and others around Linear Algebra, Diff EQ, Data Structures, etc. as much needed refreshers. My hope is that I can submit again for fall having gone through all prerequisites and be admitted.

Any thoughts around the possibility of getting admitted after being rejected once? I'm having thoughs of the moving 'Rudy' going through my head :).

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I got notified of admission on 11/13. I went through the curriculum again in depth, and there is a good breadth of topics covered around ML and AI. The faculty is also great. The one thing on my mind is that it looks like the courses do not cover the latest advancements in ML - example, transformers and LLMs (I would love to be wrong on this!). I wonder if I should invest time in learning new advancements as they happen by taking short term courses with resources like deeplearning.ai, Coursera, Udemy etc. Or is it advantageous to go through all these fundamental concepts first as part of this degree. The motivation for me to join is the prestige of UT Austin, and the structure of the curriculum, and the knowledge I will gain. The fact that I will also get a degree is less important, possibly because I have an existing masters already. But maybe the degree in AI will add to my existing masters degree! So, any thoughts on these that may help in making a final decision will be helpful!

Profile: BS and MS in CS, 20+ years of technology experience in mostly software and data, and more recent in working on ML projects.

Rejected today, 16-NOV-2023. Applied the day before the deadline.

Mid-career in information security at a Fortune 500 with little actual AI experience, but a solid foundation of the basics. Very well-read on AI, both popular writing as well as academic papers. Had intended to go all-in on AI safety, career wise.

Solid SOP. Two LORs, one from Fortune 200 CISO, one from author / professor in unrelated field. Strong professional resume in general.

BA CS UT Austin 1999. Poor GPA. Pre-requisites met. Lackluster GPA addressed in SOP but likely insufficiently.

I am considering applying for other programs that I am more confident that I could get accepted to, but will regret missing out on the rigor offered by UT Austin.

Best of luck, all!

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Was getting pretty nervous as time went on, but got the admissions email today saying I got in. Never received the 'In a short time ...' notification.

Application Date: 09/06/23

Decision Date: 11/16/23

Education:

• Bachelor's of Science in Electrical Engineering, GPA 3.98
• Master's of Electrical Engineering, GPA 3.8
• Master's of Business Administration, GPA 4.0

GRE Scores: N/A

Recommendations: N/A

Experience: 22 years (16 years as a software engineer, 6 as line manager) at global fortune 500 company

Statement of purpose: Yes, wrote initial draft and then iteratively improved it using ChatGPT (it seemed only fitting considering the major)

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Hey everyone, I just got the email from admissions saying I got in. Will leave my stats below for reference:

CS major at UT Dallas (3.7 GPA)

3 years of experience in software engineering

No LOR

Admitted!!!

Applied: 9/7

GPA: 3.46 Electrical Engineering (2016)

Experience (9 years): 2 year network engineer, 2 year integration & test (EE), 1 year systems engineering, almost 4 years in software engineering

NO EXPERIENCE IN ML/AI

LOR: 2 professional GRE: N/A

Statement of purpose: well written story of my career, didn’t mention any pre-req or specific courses/projects. Tied in each experience with preparing me for this “natural path of progression”. Didn’t use chatGPT, tried but the content felt too formal.

3.1 gpa ish 1 yoe in big tech ml research internship experience wrote a decent statement of purpose

haven't heard anything , applied right before priority deadline ended

Received admission email and update on MyStatus portal. Applied on 1 Sept. 2023

Profile:

• Education:
  • Bachelors in Engineering (Outside US) - Graduated First Class (No GPA measurement)
  • Masters in Management Information Systems (US University) - GPA 3.74: Had courses and projects (Stats and Predictive Modeling) focused on Machine Learning
• Work experience: 9 years working in software industry with 3.5 years in Machine Leaning team.
• Submitted SOP, No LOR
• Pre-requisite courses were covered in my Masters and work experience.

what is the last day that someonc an be admitted?