How to prepare for UT Austin MSBA interview

Getting an UT Austin MSBA interview invite is a big deal since it is one of the best Business Analytics programs in USA. Here are the questions you need to prepare for it.

As per one of our students who appeared for the interview and later attended this fantastic program-

The interview was mainly behavioral and the questions were mostly repeated. Since my interview was quite late, I had connected with many people and prepared a comprehensive set of questions. No question was asked beyond these.

UT Austin msba interview

UT Austin MSBA Interview questions

  1. Why Analytics?
  2. Why UTA?
  3. Long and short term career goals.
  4. Where do you see analytics in 3-5 years and how do you think you would contribute to it?
  5. Tell me about a project or an experience or something of that sort which you built from scratch, or something you really contributed to.
  6. Where did you hear about this program?
  7. An incidence from your life that changed you as an individual/ something that you are really proud of.
  8. Is there anything more that you feel that the admissions committee should know about you?
  9. Where do you want to work after graduation and why? US or India?
  10. Your knowledge on programming languages and statistics?
  11. Which company /domain in analytics do you wish to work for?
  12. Any questions for me?
  13. What are the other programs that you have applied to? Why will you choose UTA over others?
  14. Describe your work experience.

The interviewer had my CV open in front of her. So she asked a few questions around my work experience, projects and other activities that I had mentioned.


Among the MSBA programs, UT Austin interview is comparatively less technical than University of San Francisco etc.

For such discussions, join our FB group – MS Internships and Jobs (only for grads)

And, if you are looking to crack a top program in Business Analytics, MIS or Data Science, come work with us.

Should you be worried about Trump’s attack on H-1B?

Why is Trump after H-1Bs?

Trump has political pressure to get back jobs for Americans – can act upon that. This has been worsened by Disney’s lawsuit where an American employee who was laid off sued that tech companies are not hiring foreigners on H-1B because they cannot find that talent in US but they are hiring them because of low wages.

H-1Bs are the most coveted work visas: In 2016, the US Citizenship and Immigration Services announced that they received 2,36,000 H-1B petitions within five days of opening the process, more than thrice the number of mandated cap of 65,000 in the general category.

What are the proposed changes to H-1B visa norms?

As per HindustanTimes, following changes has been suggested in recent bills-

  1. Doubling minimum salaries of H-1B visa holders to $130,000
  2. Earmark 20% of H-1B visas for small and start-up employers
  3. Remove ‘per country’ cap for employment visas to ensure equal distribution
  4. Firms hiring H-1B visa holders need to make a “good faith” effort to recruit Americans first
  5. Give preference to students educated in the US for H-1B visas rather than computerized lottery system
  6. Crack down on outsourcing companies that import workers for temporary training and then send them back home to do the same job
  7. Prohibit spouses of H-1B visa holders from working in the US
  8. Prohibit companies with more than 50 employees, of which at least half are H-1B or L-1 holders, from hiring additional H-1B employees
  9. Strict audit and vetting by Department of Labor to clamp down on fraud or misuse

Should international students be worried?

There has been hue and cry over H-1Bs in the past as well but anti H-1B laws never passed. In fact, OPT 24 months extension was a big boost for international students. But it does not mean that the new law cannot pass. H-1B for international students on F1 is a different case from people getting H-1B via TCS/Infy etc (as is evident from some of the proposed reforms above). That said, what can hurt international students-

1. raising of minimum H-1B wages significantly. This directly impacts recruiting.

2. removing OPT extension.

Making it too tough will definitely antagonize Tech industry which itself is a non-trivial lobby. However, it may take some time before we see the opposition able to make a significant impact or pressurize Trump in the opposite direction. I am more worried short term than long term.

In summary, I am not saying that things are all hunky dory and there is nothing to worry but unless this law gets passed, it doesn’t matter. Just like his ban on 7 nations is still in a state of confusion (with federal court ruling against his ban but executive order still prevailing) – things are murky. Let’s wait and watch. So, please be patient.

What I have heard about campus placements so far?

1. UMCP MIS has seen decline in companies sponsoring H-1Bs

2. A student seeing a decline in campus placements and H-1B sponsorships at NCSU.

3. Another student was more neutral about her MSBA program at ASU. She will inform once the fulltime recruitment begins this semester.

4. A student who recently graduated and is on OPT has not reported any negative news in his company yet.

5. A Harvard CS student is less fearful – ‘I’ve had emails this week from 3 different companies asking me if I’m interested in full-time positions starting after spring. It will definitely have some negative impact, but if you’re good and try hard enough, I’m pretty sure you’ll be able to find a job.’

6. One ECE student from TAMU – ‘During career fair last week most of the companies were particularly asking about sponsorship requirement which I haven’t heard that much during the career fairs conducted last semester.’

I will keep you updated on what I get to know – I am not taking sides yet but bracing up for a tough ride if Trump goes rogue 🙂

This post was originally posted on our Fb group for MS internships and jobs.

Better late than never!

Sharing a blog post from Divya who will remain a very special student. I remember her as a soft-spoken but determined girl who I think can do anything she sets her heart upon. Good luck Divya, thanks for sharing this! It should help the candidates who are running late for their MS applications.

I am Divya and I am currently pursuing my Master’s in business analytics from W.P.Carey School of Business at Arizona State University Tempe. It is an intensive 9 month program and I started in Fall 2016 and looking forward to graduate in Summer 2017. Prior to doing my Master’s, I did my under graduation in Computer science and engineering from SRM university, Kathankulathur Chennai and worked as a Junior Research Analyst at McKinsey and Company in Chennai.

I gave my GRE and TOEFL exam during my final year during my under graduation and applied to a few universities for MS in Computer science. However, during that time I did not have any proper guidance and randomly applied to a few universities for ms in computer science based on my what friends did without proper profile evaluation and course evaluation. Though I got admitted into a few programs, upon talking to a lot of seniors figured out that they were not worth my profile and suggested me to properly evaluate my profile and shortlist universities and apply again next fall. At the same time, I got an offer to join McKinsey and company decided to take it up as I felt it would add a great value to my profile. After interning for the first 5 months I got an offer to join them full-time. After a lot of thinking and getting opinions from a lot of people, I decided to work with McKinsey and company for at least 2 years and gain experience and then apply for fall 2016 as it was a great opportunity to start my career in such a big firm. Though I was working with a different team, I was introduced to the field of analytics at McKinsey. I interacted with a lot of folks from the analytics and team and understood the nuisances of the field. That is when I decided to apply for analytics instead of computer science. Though I did not have any relevant experience related to analytics, I applied to business analytics as it involves computers (data mining, sql, python), statistics and exposure to how business work and highlighted my under grad in computer science and my business exposure at McKinsey as my relevant expertise for the course. Though I made this decision much before the fall admission season begun I was not able to spend time from August to December to apply since it was the peak work season and it was very hectic.

It was during January that I reached out to Nistha and took her help to shortlist universities , recreate my sop and lor and resume. Since gre score was valid for 5 years I didn’t retake it and applied with the old score. However I had to retake my toefl exam. Since it is a time-consuming process, by the time I completed all these process and submitted by application it was almost march. I was on the round 3 of application deadlines. Most of the applications were submitted on the last hour of the deadline. However, I am glad that I applied rather than postponing it again to next fall. Thanks to Nistha for motivating me and helping me out in the last minute. Without her, I don’t think I would have applied for this fall. Finally I got a few admits and out of them I shortlisted ASU as their course ranking was very good and it was just a 9 month program.

After having completed almost 50% of my program, I consider this decision as one of the best decision I have ever taken in my whole life. The educational experience is phenomenal and it has been a wonderful learning opportunity for me so far. Had I not taken this decision, I would have continued working and would not have moved out of my comfort zone. The amount of learning I inculcated in the last 5 months is much more than the amount of learning I had from my 4 years of under graduation. Hence I consider myself lucky to have not given up till the last minute. I urge all students who haven’t applied till now to stop worrying about being late and to start working on their applications as soon as possible. After all, it is always “better late than never”.