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Found 11 results

  1. I'm currently choosing between three programs and could do with some advice. My goal after graduation is to start as a DS who can solve business problems and move onto leading analytics/DS teams and strategy down the line. I already have ~3 YOE in Analytics and DS. NYU MSDS: One of the best DS programs and I can shape it too my liking with electives. However, some subjects would be too technical. A lot of proof-based content. Also. It doesn't seem wise to spend 2 years when 1 year courses are available and to go too deep into the theory when I want to move into management in 5 years. Also losing out on 1 year's salary here so program cost automatically doubles. Due to these reasons, Columbia and UT Austin are my primary options. Columbia MSBA: Curriculum is flexible so I can shape it according to my interests. It's quite expensive though. I do have the option of pursuing an internship and TAing to defray the cost a little. Since this is a 1 year program, more if I get an internship, I think this will be slightly less hectic and could provide a break from academic pressure as opposed to Austin. One red flag for me is that the program doesn't seem to have ML in the core courses. There are a couple of electives like MS Machine Learning (1.5 Credits), and Machine Learning for Financial Engineering and Operations Research, but I don't know how in-depth those are, or do they only cover certain topics from the context of FE & OR. I can also take electives from other departments, but not in the first semester, when I'll be applying for internships. Does anyone have a view on this? UT Austin MSBA: Great place, reputed program, and cheaper than the others. Very little flexibility though. It's only 10 months so would be quite rigorous as well. It doesn't cover a lot of stats (bootcamp and self-learning) much. ML and Optimization courses are good though. Also, most people here have 2+ YOE, Columbia would have some recent grads as well. How important is it to study with experienced people? Also, how important are career services? I know Columbia's career services are not really good but most people do get jobs. My thinking is that Columbia is a good option due to the flexibility to choose electives from any school, the reputation, the location, and the internship. It's expensive but I hear people pay back the loans within 3 years. What would you guys suggest? Should I look at any other factors? I'll be grateful for any help. Thanks!
  2. I'm currently choosing between three programs and could do with some advice. My goal after graduation is to start as a DS who can solve business problems and move onto leading analytics/DS teams and strategy down the line. I already have ~3 YOE in Analytics and DS. NYU MSDS: One of the best DS programs and I can shape it too my liking with electives. However, some subjects would be too technical. A lot of proof-based content. Also. It doesn't seem wise to spend 2 years when 1 year courses are available and to go too deep into the theory when I want to move into management in 5 years. Also losing out on 1 year's salary here so program cost automatically doubles. Due to these reasons, Columbia and UT Austin are my primary options. Columbia MSBA: Curriculum is flexible so I can shape it according to my interests. It's quite expensive though. I do have the option of pursuing an internship and TAing to defray the cost a little. Since this is a 1 year program, more if I get an internship, I think this will be slightly less hectic and could provide a break from academic pressure as opposed to Austin. One red flag for me is that the program doesn't seem to have ML in the core courses. There are a couple of electives like MS Machine Learning (1.5 Credits), and Machine Learning for Financial Engineering and Operations Research, but I don't know how in-depth those are, or do they only cover certain topics from the context of FE & OR. I can also take electives from other departments, but not in the first semester, when I'll be applying for internships. Does anyone have a view on this? UT Austin MSBA: Great place, reputed program, and cheaper than the others. Very little flexibility though. It's only 10 months so would be quite rigorous as well. It doesn't cover a lot of stats (bootcamp and self-learning) much. ML and Optimization courses are good though. Also, most people here have 2+ YOE, Columbia would have some recent grads as well. How important is it to study with experienced people? Also, how important are career services? I know Columbia's career services are not really good but most people do get jobs. My thinking is that Columbia is a good option due to the flexibility to choose electives from any school, the reputation, the location, and the internship. It's expensive but I hear people pay back the loans within 3 years. What would you guys suggest? Should I look at any other factors? I'll be grateful for any help. Thanks!
  3. Starting this thread for a friend who's applying to MSBA programs and anxiously waiting. We'd love to hear any updates anyone have on their applications!
  4. Hello all, I'm a current final year biotechnology student and will be graduating in '21. I plan to do masters in US. However, after doing some research & going through universities and their courses, i have begun to develop interest in courses which are completely different from my undergrad. For e.g, i like Masters in Business Analytics (MSBA), Masters in Management Information Systems(MIS). I'm kind of reluctant to apply for MIS, MSBA...because 1)i feel my chances of getting selected in good schools are close to NIL (because my undergrad isnt't in the relevant area) 2) Should i apply for courses outside Biotechnology (considering i'm applying right after undergrad- fresher) or should i take work exp and then apply for MIS/MSBA? What are my chances of getting into courses like MIS, MSBA..?? Profile- 8.5/10 Biotech undergrad, have knowledge in C, Java (worked on a project) & Python. Also done courses on Clinical Data analytics. It would be of so much help if anyone could give suggestions/ideas with regards to my profile. It would help in getting clarity. Thank you so much, cheers!!
  5. Hello all, I'm a current final year biotechnology student and will be graduating in '21. I plan to do masters in US. However, after doing some research & going through universities and their courses, i have begun to develop interest in courses which are completely different from my undergrad. For e.g, i like Masters in Business Analytics (MSBA), Masters in Management Information Systems(MIS). I'm also inclined towards Health Informatics (MHI) but not many universities offer them. I'm kind of reluctant to apply for MIS, MSBA...because 1)i feel my chances of getting selected in good schools are close to NIL. 2) Should i apply for courses outside Biotechnology( considering i'm applying right after undergrad- fresher) What are my chances of getting into courses like MIS, MSBA..?? Also, will it be diificult to find job after masters considering i won't have exp in related fields? Profile- 8.5/10 Biotech undergrad, have knowledge in C, Java (worked on a project) & Python. Also done courses on Clinical Data analytics. It would be of so much help if anyone could give suggestions/ideas with regards to my profile. It would help in getting clarity. Thank you so much, cheers!!
  6. Has anyone applied to UT Austin's MSBA for fall'18? How much time will it take to get decision on application once application status says: file transferred to graduate committee for review?
  7. Hi Everyone, I have been admitted into UT Austin's MSBA and Duke's MQM program but I'm unable to decide which one would be better. Any thoughts?
  8. Hi guys. I know this might seem a little too soon as I have barely seen any other discussions happening on Fall 2020. But I have finally narrowed down to this course and I wanted to see if anyone else has started to shortlist schools for MS Business Analytics/MS Analytics. For now, I have referred to the QS ranking list to see which universities would be a good fit for my profile. Please do share your progress on this post. Let us all get through this nerve wracking one year together!
  9. Hello, all, so I'm interested in applying for ut-Austin MSBA program, and on their website, it says that The Texas MSBA program enrolls one class per year, in the summer semester only. The application for the Class of 2019 will open August 1, 2017. Round 1: October 16, 2017Round 2: January 8, 2018 (Final deadline for international applicants)Round 3: March 19, 2018 Round 4: May 1, 2018 This program starts from Summer - Fall - Spring. (10month) Is that mean that If I want to start in 2019 Summer (graduating 2019 Spring), I will have to apply before May 1, 2018? That's one year before the program start.... so it confuses me. Also, do yall have any comments or ideas about this business analytics program? Thank you so much. I'm new to the forum, sorry if I made any mistake.
  10. For the course of Master of Science in Business Analytics, which is a better university and college to attend? Drexel Univerisity- LeBow College of Business with 18k scholarship OR University of Texas Dallas - Naveen Jindal School of Management - Scholarship decision pending. Please suggest.
  11. I am an international applicant admitted to Master of Science in Business Analytics program in UT Dallas and Business Intelligence & Analytics program in Stevens Institute of technology. Anybody can help me decide which to go and analyze the pros and cons of both two programs and school? In which one graduates have more opportunities in finding an internship related to business analytics? Thanks for your advice!
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