QnA with Duke MEM student

Duke MEM FAQs

Wondering if you should join or apply to Duke MEM program? We have our 2019 alum, Yusuf Bhinderwala, share a video review of his experience at Duke. It has all the latest updates.


And, for those who prefer to read – our older alumnus, Kanchana, shares what is it like to study MEM at Duke in a detailed QnA. She also talks about why she chose Duke over UIUC MSTM program. So, all those who are considering applying to Duke MEM and wondering what to expect, here we go.

duke mem

Coursework

What kind of technical courses are MEM students allowed to take?
Anything, simply anything

Are there any restrictions as such?
No. Provided you deliberate with the management on why you want to take up a course from the law school or Fuqua School of Business (if it’s not an allowed elective).

My main area of interest is Computer Engineering, so if I wanted, could I just pick up some courses in that area that are listed for the MS Computer Engineering course?

In the end, you are investing in an amazing experience where you can take away something new. Would you want to learn what you already know or expand your horizons? Think about that, sincerely!!!! Rope in people who are close to you and discuss your options. Don’t do an MS just for the sake of it…

I do not want to take up the course with the view of becoming a technical manager or anything of that sort. I would be more leaning towards being an entrepreneur. In that aspect, how do you think the course would help me?

Makes you managerially fit, lets you explore dimensions of studies that you never thought would affect your deliverables as an entrepreneur.

How is the course and what kinda projects do we have to do? Is it a lot of theory? OR is practical stuff involved?

It’s a constant learning process. They use what is known as case study method. Any subject you take, will require you to do substantial amount of work after the lecture. It’s a system of learning where the practical problem is thrown at you first and you figure out ways to solve it, then the concept related to the same is something that is taught in the last.

There is no theory or practical concept. Duke MEM involves a lot of case study analysis. It will stimulate your intellectual thinking and make you understand the concepts that you will learn in class.

In fact most of the non-technical jobs like Business Technology Analyst, Business Analyst etc have case interviews. They will put forth a problem to you and you have to find out all possible angles of approaching it. It’s purely creative and not technical…. So don’t worry when I say case interview.

Job Prospects and Job Hunt

How are the job prospects? Like what kinda companies hire us? and do we get paid well?The common notion is companies don’t hire freshers for a managerial post. Is that true?

It all depends on what you have to offer, if you are good enough, you can get whatever role you want. If you don’t have the aptitude and skills for it, you will never get the job, until you work towards it by taking related courses. No one will hire you as a manager if you don’t have the experience or substantiate with enough work/ study experience. If you are searching for a non-technical position, you may have to start from the beginning of the growth ladder for that non-tech position in any company.

Avg salary is somewhere in between $75,000 to $85,000 for starter positions. For people with prior experience and who have niche skills, it can cross even $100,000.

Do you get enough good companies to pick and choose among them?

Companies don’t come to you here. You have to network and get your job. It’s not impossible to get a job though. You have e-recruiting sites here, but you have to get in touch with new contacts through LinkedIn. Your choice of companies are not limited to the ones that come to the campus, you can apply to other companies through their respective sites and using a referral that you personally get in touch with through LinkedIn. And Duke trains you for this.

I have three years of work experience. Would I still have to complete an internship before joining? Further, how tough is it to get an internship immediately after nine months from arrival? 

The Internship Presentation is a chilled out thing, really. It’s a final 15 min presentation on your take-aways in your work/internship experience. It doesn’t even involve a lot of technical know-how to be presented. So if you are planning to take up an internship for the assessment, there is no point. You can leverage your work experience itself. You don’t need to separately do an internship if you have had the work experience.

The process of getting a job or an internship is different. There is the concept of NETWORKING that you will detest after some point. It is basically keeping in constant touch with your contacts that you make at career fairs, LinkedIn and other people you would have met otherwise. IT IS A FULL TIME COMMITMENT OR JOB TO DO INTERNSHIP/JOB HUNTING. It’s the same case in any grad school. What helps is that Duke will actively train you to Network! And you will have a series of Resume, Cover Letter Workshops and many such personal development activities that you have to promise yourself to make use of once at Duke. Because you honestly won’t find the time to do anything else besides managing your coursework and the endless team meetings.

Networking

Apart from the curriculum what kind of other opportunities are available to a MEM graduate (like some sort of consultancy club etc.) anything you can think of which is not mentioned in the curriculum but helps networking and developing?

Check out the MEMPDC at Duke http://www.dukemempdc.org/ . I am executive member of the CDAR club and I have conceptualized and organized a few activities for MEM student community. Apart from the four main clubs we have the Finance and Consulting clubs that have some exciting workshops and activities organized as well…. You can take part in any of them or even opt to be in the leadership team.

Your fees also covers the gym and all the athletic facilities at Duke. So you can make use of the same. There will also be MEM Olympics that covers an array of sports that you can take part in as well. Honestly, I would suggest you plan your academics in such a way that you get to participate in some activities atleast. The course itself is very heavy, even though it seems to be easy. Duke’s MEM is rated higher than Stanford’s MS&E and having had a stint with Stanford MS&E curriculum, I can personally tell you that it is true.

Duke MEM vs UIUC MSTM

I have admits from UIUC MSTM and Duke MEM and I am confused what to choose. You had the same choice, why did you decide on Duke?

I personally did not choose UIUC because I wanted more international exposure. 90% of the admits in UIUC last fall were Indians whereas it is around 50% in Duke. Having more diversity in a collaborative program like MEM enhances the experience multi-folds and it was an important factor I used to assess UIUC against Duke. Industry collaborations and opportunities are slightly better than UIUC is what I hear.

Duke having more feathers on its cap in terms of companies and industry relations, will only prove beneficial to you. Last but not the least, Duke has a very reputed Business School, Medical School, state of the art facilities as it is a private university, and is proudly called “The Stanford of the East”. It definitely has more visibility in terms of the MEM program.

Advice for incoming students

What other advice would you give to students who are going to Duke for MEM?

  1. Please come with an idea of whether you are going to finish it in 2 or 3 sems. Your peers here will confuse you. The program is completely doable in two semesters. But if you are adamant on going through the Career Fairs thrice then 3 sem option would be ideal. But people have told me that they waste a lot of time doing it in three semesters. I am completing it over two sems because I want to get back to work-life as soon as possible, I work effectively in lesser time as opposed to being complacent in three sems and this will also reduce my financial burden by a semester of living expense.
  2. Plan your courses beforehand as registrations for the famous courses closes within 2 secs of it opening…. I am not kidding. Also make sure that you plan to have all your classes over two to three days of the week instead of one subject a day, as you may lose time to go out and explore the University and what it has to offer besides academics. Look at which courses have a lot of team meetings as well. That will help you narrow down the courses.
  3. Most (95%) courses have team meetings. It will get really cumbersome. So be prepared to interact with people you may not like and also may have to shell out your weekend for the same. That is also one of the reasons why you need to have some free time over the week as well for yourself.
    It’s how you extract value from the MEM program at Duke that will matter in the end.

MS in MIS, MEM, MIM – engineering management programs

ms in mis

More applicants are considering MS in MIS and MEM programs for their Master’s ambitions these days. Let us understand the scope of these programs and whether you should consider them too. The process for applying to these programs is same as MS in USA.

What is MS in MIS about?

MS in MIS stands for Master’s in Management Information System. It is one of the most popular techno-management programs that engineers go for.

Specifically, MS in MIS is an engineering management program that teaches how to use IT to manage huge volumes of business-relevant information to facilitate strategic decision-making. One might think of it as a less competitive version of MBA specializing in IS (but then, less reputed than an MBA too).

Why are techno-management programs getting more popular?

As technology spreads to every tiny aspect of our lives, role of engineering management is becoming more relevant in every domain and industry. Be it pharmaceutical or an agricultural company, everyone is dealing with information. While chemical, mechanical, civil, hardware electronics engineering deal with tangible products, software and computer engineering deal with the abstract information.

Understandably, there has been a constant increase in the demand for managers who understand technology and management aspects alike. This gave rise to programs such as MEM (MS in Engineering Management), MIS (Management Information Systems), MIM (MS in Information Management), MSIS (MS in Information Systems) and so forth.

With few differences, these programs aim at combining technical depth with business breadth so that the students can understand both management and engineering language. One theme that underlines all these programs is that they are core business programs with engineering electives or vide versa. The focus is still on management courses such as statistics, analytics, supply chain etc and one can pick electives in database, programming, networks etc.

What is the curriculum of MIS and MEM programs?

It has a combination of engineering and management electives. Some programs are heavier on engineering courses and some are more focused on management courses. Therefore, it is crucial to study the curriculum before choosing to apply to a program – make sure it fulfills your interest.

Some MIS courses also offers specialization tracks. For example, CMU MISM offers following tracks:

  • Managing AI & Robotics
  • Digital Marketing & Commerce
  • Business Intelligence
  • IT Strategy & Management
  • Health Care Informatics

Duke MEM is more business oriented and offers the following:

  • Customer Experience and Product Design
  • Data Analytics and Machine Learning
  • Operations and Supply Chain Management
  • Product Management
  • Technology Development and Commercialization
  • Entrepreneurship and Founders

Engineering electives can include:

  • Data Mining
  • Artificial Intelligence
  • Networking 
  • Object-Oriented Programming in Java

Business electives/core can include:

  • Marketing
  • Finance
  • Management
  • Operations
  • Modeling

What are the TOP MS in MIS programs?

Here are our handpicked 10 best Management Information Systems courses-

UniversitySpecialtyFee
1. CMU MISMThe three semester, 16-month curriculum can be reduced to one year for those with at least three years of professional work experience. One of the most prestigious and job friendly MIS programs. However, it can be expensive but you are getting a CMU degree.$75,100
for 16 months
2. MIT MSMSThe MSMS degree is 90-unit curriculum, with courses at Sloan, in other MIT departments and Harvard University. Those are two schools to kill for – enough said. $84,134 for 12 months
3. University of California, Berkeley MISMThe 48-unit degree program is intentionally interdisciplinary, combining aspects of computer science, cognitive science, psychology and sociology, economics, business, law, library/information studies, and communications.$71,767 for 12 months
4. New York University MSISCombining computer technology from Courant Institute of Mathematical Sciences and business preparation from Stern School of Business, the MSIS at NYU prepares graduates for successful careers in management positions that require deep technical skills.$68,517 for 12 months
5. Texas A&M University MSISTexas A&M is one of the most affordable comprehensive public universities in the nation. The department also offers scholarships and graduate assistantships.$51,000 for a year
6. Indiana University– Bloomington MSISGraduates of this program are in high demand, with 97 percent of them receiving job offers before graduation.$45,000 for 12 months
7. Arizona State University MSIMClasses for the twelve-month on-campus program are designed to accommodate working professionals. Small class sizes and evening classes allow students to get an intimate, collaborative experience while not having to put their careers on hold.$60,000 for 12 months
8. University of Texas at Austin MSITM10 month, STEM designated degree that creates business leaders prepared for disruptive innovations due to emerging technologies, such as deep learning and blockchain.$55,000 for 12 months
9. University of Texas, Dallas MSITMThe Master of Science in Information Technology and Management is a 36-credit curriculum that prepares students to better understand the world of information technology.$37,000 for 12 months
10. Georgia State University MSISThe MSIS offers concentrations in big data management and analytics, enterprise systems, cybersecurity, information technology, health informatics, and management of information technology.$55,000 for 12 months

What is MEM program?

MEM stands for Master’s in Engineering Management. It is the generic techno-management program with courses in Marketing, Finance, Management, Operations, Modeling and available engineering electives (not just software but industrial engineering, nanotechnology etc).

Duke MEM program
Duke MEM students by backgrounds

Duke’s MEM program is leading in this category. Look at their electives to get a sense of the course offering. Above chart shows how the incoming student profile is distributed. As you can see, it is widely spread among various engineering majors.

Some other engineering or techno-management programs go under the names of MIM, MSIS, MISM etc.

What kind of jobs can you land after MIS or MEM programs?

MIS – Expect roles such as IT consultants, data analytics engineer, system analysts, data analysts, systems engineer, database administrators.

MEM prepare candidates for consulting, business analysis in any engineering related work function.

Also read FAQ for MIS/MEM programs

If you found this useful, there is lot more information in MS Book: Smart Engineer’s Complete Guide to MIS in USA

Our students are joining MIS/MEM/MS Business Analytics/MS Data Science programs at Columbia, UT Austin, CMU, TAMU, Duke, Syracuse, Buffalo, NEU, UIC etc every year. Contact us if you need help with your MIS/MEM applications.

Results 2015-2017

Here are the fabulous results for Spring/Fall 2017, we have some great new schools to our portfolio now – UIUC MS CS, UT Austin, MS CS, UCLA MS CS, UC Davis PhD, Wisconsin Madison MS EE, CMU ECE, Berkeley MIS, Foster MIS, Virginia Tech CS, Purdue Mechanical etc etc! If you are applying next year and want to work with us, check out our Counseling Options.

  • Kanagaraj – MS/PhD CS (315, 9, 5 yrs work-ex) – UMN, Virginia Tech
  • Aketh – MS CS (325, 8.6, 3 yr work-ex) – UTD Spring, NEU, SUNY SB, NYU Courant
  • Praneeth – MS CS (311, 0.81, 3 yr work-ex) – UTD, SUNY SB Spring
  • Prateek – MS CS (317, 0.71, 3 yr work-ex) – ASU IT, NEU CS, UC Irvine SE, UTD
  • Arjun – MIS Analytics (316, 6.7, 2 yr work-ex) – Syracuse
  • Sangram – MS CS (319, 7.3, 2 yr work-ex) – TU Kaiserslautern, TU Munich for MS in CS
  • Nitesh – MS CS (315, 0.8, 3 yr work-ex) – Rutgers MBS Analytics, Syracuse CE, NEU MSIS
  • Sneha – MIS Analytics (321, 0.83, 3 yr work-ex) – U Connecticut MSBA, Buffalo MIS, Cincinnati MSBA, Simon Fraser MS BigData
  • Somendra – MS Data Science (317, 8.6, 4 yr work-ex) – NCSU, ASU CS
  • Aashray – MIS Analytics (327, 8.25, Fresher) – Berkeley OR, Dartmouth MEM 40% aid, UMCP MIS, John Hopkins MSEM
  • Harish – MS EE Robotics (316, 0.64, 2 yr work-ex) – Colorado State Uni, Boston U, George Mason U
  • Khushboo – MS CS (319, 0.76, Fresher) – Syracuse 30% schol, Delaware, UTD, IIT Chicago, UNCC
  • Ankan – MS Aerospace (318, 8.23, 2 yr work-ex) – ASU, NCSU, UIUC,Virginia Tech, Penn State MEng
  • Bibin – MS EE Power (323, 8, 10 yr work-ex) – CU Boulder Power Elec Spring
  • Naveen – MS Data Science (315, 7.64, 6 yr work-ex) – NCSU MSA interview, ASU MSBA, George Washington DS
  • Akhil – MIS MEM (304, 0.7, 3 yr work-ex) – UIUC MS IM Spring
  • Sharang – MIS (325, 65% 3.04, 3 yr work-ex) – CMU 12 mon, IUB interview, UMCP, TAMU, Cincinnati with schol
  • Ujjwal – MS Data Science (314, 0.68, 4 yr work-ex) – UTD CS, UMN DS, ASU SE
  • Ela – MIS Analytics (306, 0.78, 4 yr work-ex) – UTD, Syracuse, GSU, NEU
  • Khushboo – MEM (312, 9.21, 2 yr work-ex) – ASU IE, UIC IE, NEU MEM, Rutgers IE, UTD SCM, TAMU MS ESM
  • Vipul – MS Embedded (313, 0.807, Fresher) – ASU CE, CU Boulder Professional MS Embedded
  • Saurabh – MIS Analytics (317, 6.9, 3 yr work-ex) – IUB interview, UMCP MIS, Cincinnati, NYU MSIS
  • Bhargav – MS CS (329, 9.4, Fresher) – UC Irvine, NCSU, Virginia Tech, USC, Stonybrook PhD (funded), UCLA
  • Puneet – MSOR, MSBA (322, 0.73, 3 yr work-ex) – UMN 10K schol BA
  • Monica – MSOR, MEM (323, 8, Fresher) – NCSU MSOR, Purdue IE, Duke MEM
  • George – MS EE Wireless (325, 9.36, Fresher) – USC, Georgia Tech, UCSD, UWashington, CMU MS ECE (Spring 2018)
  • Niket – MS CS (339, 0.525, 7 yr work-ex) – SJSU
  • Raghav – MS IE, OR, MEM (312, 8.34, 2 yr work-ex) – Duke, Notre Dame ESTEEM (25% schol), NYU MoT (4k)
  • Yashovardhan – MS CS ML (318, 8.2, 3 yr work-ex) – ASU MCS Big Data, CMU BIC, KTH Sweden ML, UFL
  • Ashish – MIS, MEM (321, 8.54, Fresher) – UMCP MIS, Duke interview, TAMU, Columbia Applied Analytics, CMU 16 mon
  • Balarama – MS Mechanical (328, 8.12, 3 yr work-ex) – CMU
  • Neel – MS EE Semiconductors (319, 8.76, Fresher) – UPenn MSE in EE, UMN EE, ASU
  • Valliappan – MIS, MEM (315, 8.27, MBA, 2 yr work-ex) – John Hopkins – Carey(Dean’s schol $16K ~25%), UMCP, TAMU, GSU, Utah, UFL, USF
  • Vinayak – MEM, MS Finance (320, 7.88, MS Econ 3 yr work-ex) – Georgia Tech MFE, Columbia MFE
  • Karttik – MIS, MEM (320, 8.8, 3 yr work-ex) – Syracuse, Cincinnati, IUB interview, TAMU, CMU 16 mon
  • Jayeeta – MIS, MEM (313, 7.75, 4 yr work-ex) – GSU, Syracuse, UIC, UTD, UT Austin MS IS
  • Manoj – MS CS (313, 8.1, 2 yr work-ex) – ASU MCS, UTD, NEU
  • Tushar – MIS, MEM (315, 8.9, 1 yr work-ex) – Notre Dame ESTEEM 20K schol, USC MEM, CMU MISM 16 mon, John Hopkins MEM, Dartmouth MEM
  • Sreedev – MS Mechanical (319, 3.77, 2 yr work-ex) – UC Davis PhD (full schol), UMCP PhD
  • Kartika – MS CS (311, 7.13, Fresher) – Syracuse, RIT HCI, UWashington HCDE
  • JVN – MS IE, Data Sc (321, 8.9, 1 yr work-ex) – UT Dallas(MS in CS), UIUC(MS in IE with concentration in analytics)
  • Nimish – MS CS Data Sc (320, 7, 4 yr work-ex) – CMU 12 mon MISM, NCSU
  • Kovuru – MS Embedded (311, 7.9, 4 yr work-ex) – ASU CE, CU Boulder Professional MS Embedded
  • Amogh – MS CS (313, 7.34, 3 yr work-ex) – Stonybrook, Colorado, ASU MCS
  • Mayank – MSBA (323, 0.73, 3 yr work-ex) – UMN MSBA (after interview), CMU BIDA
  • Ayush – MS CS, MIS (320, 7.87, Fresher) – UMCP MIS, Syracuse MIS, UTD MIS, NEU CS, NYU Poly CS
  • Navya – MS EE Comm (327, 9.2, 2 yr work-ex) – UCSD, UMich Ann Arbor, ASU, UCI
  • Adithya – MS EE (324, 8.3, 1 yr work-ex) – Virginia Tech, MSU with RA, ASU, UTD Power Systems, TAMU Power Systems, Utah
  • Mariyah – MIS, MEM (306, 8, 3 yr work-ex) –CMU 12 mon, UIC, UMCP, UIUC MSTM, NEU MEM, Duke MEM
  • Raghav – MIS Analytics (312, 0.583, 2 yr work-ex) – Syracuse, UTD 50% schol
  • Abhijith – MS/PhD ECE (323, 9, 2 yr work-ex) – UPenn MSE EE
  • Arun – MS EE Power (320, 7.3, 3 yr work-ex) – NCSU, ASU, TAMU, Wisconsin Madison
  • Shripal – MS CS (320, 7, 3 yr work-ex) – ASU SE
  • Ayesha – MS Data Sc (304, 8, Fresher) – IUB DS, CMU MISM global, USC Data Informatics
  • Priyanshi – MIS/MEM (303, 0.67, 2 yr work-ex) – IITC, Stevens
  • Siddharth – MS CS (329, 0.715, Fresher) – Stonybrook
  • Shravya – MS CS Networks (325, 9.3, Fresher) – CMU MSIN (with fellowhip), Georgia Tech, UCLA, USC (CS and Networks)
  • Anmol – MS Mechanical (324, 7.9, Fresher) – Purdue
  • Sushruth – MS CS (306, 0.7, 2 yr work-ex) – RIT, UCF, Santa Clara, Syracuse
  • Payal – MS Analytics (720, 0.72, 2 yr work-ex) – CMU BIDA, UT Austin interview, USanFran interview, UCSD MSBA & NYU MoT (14k)
  • Abhinav – MS CS Data Sc (327, 9.94, 4 yr work-ex) – UIUC, USC Deans scholarship, UT Austin, UCSD, Columbia, UC Berkeley (MEng)
  • Adarsh – MSIE, MEM (320, 7.9, 4 yr work-ex) – NYU MoT, NCSU IE, Duke
  • Palash – MS Software Engg (301, 0.649, 2 yr work-ex) – IITC CS, NEU, UT Arlington, SE, UNCC MSIT, Southern Methodist SE
  • Arihant – MS CS (317, 7.4, Fresher) – UIC
  • Gursimran – MS CS (325, 7.3, 4 yr work-ex) – UC Davis PhD, U of Alberta MS (full funding), Purdue MS CS, ASU MS
  • Yash – MSOR (317, 7.9 MBA, 6.9 BTech, 8 yr work-ex) – Oklahoma State PhD, NYSU, Buffalo
  • Krushab – MS CS, MIS (, 0.617, 2 yr work-ex) – BU, Washington State MS CS, Syracuse, UIC, Stevens, NJIT MIS
  • Siddhant – MSBA (322, 5.2, Fresher) – Penn State Great Valley, UTD
  • Nymisha – MSBA (650, 8.4, 2 yr work-ex) – UIC, UConn, IE Spain
  • Abhishek – MSBA (310, 7.6, 4 yr work-ex) – NEU MEM
  • Nitasha – MS Analytics (310, 7.4, Fresher) – ASU MSBA, Stevens BI, RIT Stats, Rutgers MBS
  • Priyasha – MIS, MEM (710, 0.82, 12 yr work-ex) – MIT SDM, UWashington Foster MSIS, Berkeley MISM, UMCP, Cincinnati, TAMU, UIC, Syracuse
  • Ronak – Analytics (333, 7.6, 6.5 yr work-ex) – Columbia Applied Analytics

Here are Spring/Fall 2016 results (awesome, isnt it? 🙂 )-

  • Akash B – MS ECE (332, 9, 3 yrs work-ex) – Georgia Tech, UC San Diego ($5K scholarship), UMN Twin Cities, NCSU
  • N Saxena – MS/PhD CS (332, 75%, Fresher) – Harvard, Columbia, UC Santa Cruz, Buffalo, Syracuse
  • Souptik S – MS CS (338, 76%, 3 yrs work-ex) – UPenn, U of Wisconsin Professionals MS, UMass Amherst (with RA), CMU INI (with graduate fellowship), NCSU, SUNY SB
  • Shashank R – MS CS Data Science (324, 9.6, 2 yrs work-ex) – Georgia Tech, UCSD, CMU BIDA, USC, U of Washington MSIM, NYU MS Data Science, SUNY SB, NCSU
  • Anirudh R – MIS/Operations Research (334, 7.5, 2 yrs work-ex) – U Berkeley MSOR, Dartmouth MEM, Columbia MS&E, Duke MEM
  • Nikita K – MIS/MEM (324, 9, 1 yr work-ex) – Dartmouth MEM, Columbia MS&E, Duke MEM, TAMU MIS, UMCP MIS, USC MEM, UIUC MSTM
  • Kanagaraj – MS/PhD EE (315, 9, 5 yrs work-ex) – Rutgers PhD, Columbia MSEE
  • Keshav S – MS CS (324, 9, 2 yrs work-ex) – UCSD, UMN Twin Cities, NCSU
  • Ishan M – MS CS (319, 9.4, 4 yrs work-ex) – UCSD, Ohio State, NCSU, ASU Polytechnic
  • Gayathri J – MS ECE (325, 8.7, 3 yrs work-ex) – UMN Twin Cities, UFL, Gatech Shenzhen, Portland State
  • Sharan S – MS Business Analytics (324, 9.2, 5 yrs misc exp) – UIUC – Spring 2016
  • Rafi A – MS CS (78%, 3 yrs work-ex) – Waterloo – Spring 2016
  • Akshata M – MS Business Analytics (323, 8.9, Fresher) – UT Austin, CMU BIC, CMU MISM, IUB Data Science
  • Sheelabhadra D – MS CS (326, 8.4, 1 yr work-ex) – TAMU MSCS, CU Boulder, NCSU ECE, UFL CS, WPI
  • Chakshu M – MIS (700 GMAT, 78%, 6 yrs work-ex) – CMU, UMCP, Cincinnati, TAMU
  • Neha A – MIS (710 GMAT, 3.6, 2 yrs work-ex) – CMU BIDA, UIC MSBA, Connecticut
  • Suvrodeep G – MIS (650 GMAT, 7.6, 5 yrs work-ex) – TAMU, UMCP, SUNY Buffalo
  • Deepika A – MS CS (317, 80%, 3 yrs work-ex) – NCSU, SUNY SB, USC, NEU
  • Anshul G – MEM (325, 8.2, 2 yrs work-ex) – Cornell MEM, Duke MEM, Tufts with $15K schol
  • Sanchit M – MS CS, MEM (318, 7, 2 yrs work-ex) – Duke MEM, NYU
  • Pritesh R – MS CS (320, 64%, 2 yrs work-ex) – U of Utah, NCSU
  • Vinod S – MS Mechanical (332, 7.9, 2 yrs work-ex) – UIC, NCSU
  • Tariq I – MS CS (322, 7.2, 4 yrs work-ex) – ASU, UC Irvine
  • Sathwik N – MS CS (313, 7.7, 2 yrs work-ex) – ASU, NCSU
  • Ravi T – MS Industrial/Financial Eng (311, 7.7, 3 yrs work-ex) – ASU
  • Samantha S – MIS (301, 8.7, 4 yrs work-ex) – CMU MISM
  • Shubham S – MS CS (311, 7.2, 4 yrs work-ex) – NEU
  • Shilpi K – MS CS (312, 8.5, 6 yrs work-ex) – UTD, USF, NEU, SUNY SB PhD
  • Karthik T – MS ECE (318, 9.2, 3 yrs work-ex) – TAMU, USC, UTD, CU Boulder ITP
  • Yasho V – MIS (318, 6.5, 1.5 yrs work-ex) – UMCP, Cincinnati, CMU MISM, USF, UTD, Syracuse, UIC
  • Selina B – MS CS (320, 9.2, 1 yr work-ex) – USC, Waterloo
  • Sanjana W – MS CS (313, 8.3, Fresher) – UC Santa Cruz, ASU, UTD
  • Srikanth M – MS ECE (323, 8 in MS, I yr work-ex) – UC Santa Cruz
  • Piyush P – MS CS (318, 73%, 3 yrs work-ex) – ASU
  • Apurva P – MS CS (325, 69%, 2 yrs work-ex) – NYU
  • Ankita S – MS CS (318, 8.4, 2 yrs work-ex) – ASU, CMU MSISPM
  • Melvin T – MS EE (314, 8.2, 2 yrs work-ex) – Clemson, UTD, Portland State
  • Aashish D – MIS (314, 61%, 3 yrs work-ex) – UMCP MIS, SUNY Buffalo, Syracuse, UIC, USF, UTD, UMCP MIM
  • Shivam S – MS CS (317, 8.2, 2 yrs work-ex) – NCSU, NEU, UTD
  • Nitesh G – MIS/MEM (320, 8.2, Fresher) – Notre Dame, CWRU with 13k scholarship, UTD MIS (instate tuition fee scholarship), NEU MEM
  • Nitesh G – MS Telecommunications (320, 8.2, Fresher) – CU Boulder ITP
  • Sumanth N – MS EE Robotics (303, 79%, 4 yrs work-ex) – UC Santa Cruz, WPI, University of Bonn
  • Aditya V – MS EE Robotics (322, 7.7, 3 yrs work-ex) – WPI
  • Rajdeep K – MIS (310, 60%, 5 yrs work-ex) – UFL (ISOM), UTD (ITM)
  • Siddharth N – MS CS (319, 8.2, 1 yr work-ex) – CMU MSIT – Privacy Engineering, ASU MCS, NEU, TU Munich
  • Manika B – MS CS (312, 7.75, Did ME) – NEU, SJSU, NJIT
  • Aditya K – MIS (321, 6.3, 3 yrs work-ex) – NYU, USF, UTD, Syracuse
  • Mohit V – MS EE Embedded (317, 9.1, Fresher) – SUNY SB, NCSU, UTD, UNCC
  • Suchitra D – MIS (316, 77%, 2 yrs work-ex) – Syracuse, Cincinnati, Buffalo, UNCC Data Science, UIC MIS, UTD MS CS
  • Hari N – MS ECE (314, 7.9, 5 yrs work-ex) – UMCP ENTS
  • Saloni S – MS Data Science (311, 7.1, 1 yr work-ex) – IUB
  • Ranadeep G – MS CS (314, 7.7, 3 yrs work-ex) – Rutgers, NEU MS IT
  • Sanjana E – MIS (308, 8.45, 2 yrs work-ex) – Rutgers, USF, UIC
  • Priyank J – MS CS Cybersecurity (303, 61%, 1 yr work-ex) -RIT, IIT, Drexel, De Paul, George Washington University
  • Aroushi S – MS CS (313, 73%, Fresher) – UTD, Houston Main Campus, U of Glasgow, U of Manchester
  • Hemant P – MS CS (310, 80%, Fresher) – UTD, SUNY SB, NEU
  • Supraba M – MS CS (316, 8.4, 1 yr work-ex) – UTD, IUB Data Science
  • Preethi T – MIS (313, 7.5, 1 yr work-ex) – USF, UTD
  • Ram K – MIS (314, 7.4, 3 yrs work-ex) – Utah, USF
  • Mohit G – MS CS (312, 77%, 1 yr work-ex) – UTD
  • Sajin S – MS ECE (325, 7.3, 1.5 yrs work-ex) – UNCC
  • Rucha K – MS CS (310, 70%, Fresher) – UNCC
  • Tushar A – MS CS (319, 66%, Fresher) – NYU Poly
  • Pallavi K – MS EE (310, 9 in MS, Fresher) – NYU Poly
  • Asha A – MS EE (312, 7.8, Fresher) – U of Rochester ECE, CU Boulder Power Electronics, SUNY Bufallo ECE, UTD Energy Mgmt, Rochester Entrepreneurship Mgmt, IIT
  • Varun C – MS CS (329, 76%, 1 yr work-ex) – ASU IT, RIT
  • Adarsh S – MEM (317, 8.2, 1 yr work-ex) – NYU MoT, NEU MEM
  • Sujay P – MS ECE (305, 75%, 6 yrs work-ex) -Southern Methodist, NEU, Stevens, Pittsburgh
  • Chandrakala J – MIS (305, 64%, 5 yrs work-ex) – USF

And here are the results from Fall 2015-

  • Sadavath S – MS in Business Analytics (325, 80%, 2 yrs work-ex) – UT Austin
  • Akash S – MS in Mechanical (319, 9.55, 1 yr work-ex) – UC San Diego, Columbia, CMU, USC, U of Washington Seattle, ASU
  • Mohnish P – MS in ECE/CyberSecurity (325, 8, 2 yrs work-ex) – NYU Poly, CMU MS IT, John Hopkins, Columbia MS&E, Columbia MS in Computer Engg
  • Arushi A – MS in Data Science (320, 84%, Fresher) – Columbia
  • Arushi A – MS in CS (320, 84%, Fresher) – USC, UC Irvine
  • Hari P – MS in CS (314, 8.5, 2 yrs work-ex) – SUNY Stonybrook, NCSU (MS CN), NYU Poly
  • Karandeep – MS in Civil Engg (337, 8.7, 1 yr work-ex) – UIUC, TAMU, U of Colorado Boulder, Colorado State Univ
  • Navaneeth R – MS in ECE (307, 8.1, 1 yr work-ex) – UMCP ENTS, ASU, UIC
  • Vipul M – MS in CS (315, 65%, 4 yrs work-ex) – CMU BIC, ASU, NEU MS in Information Assurance
  • Vini G – MS in CS (321, 8.98, 3 yrs work-ex) – Cornell MEng, USC (Data Science)
  • Vini G – MISM (321, 8.98, 3 yrs work-ex) – CMU
  • Pragya T – MIS (650 GMAT, 68%, 3 yrs work-ex) – CMU, TAMU, U of Cincinnati, SUNY Buffalo, UIC
  • Pratik C – MS in EE (Robotics/Embedded) – CMU Robotics, Tufts, KTH Sweden
  • Anirudh S – MS in EE (324, 8.61, Fresher) – Ohio State University, NCSU, Virginia Tech non thesis, TU Delft
  • Sushma G – MS in CS (318, 9.5, 1 yr work-ex) – USC, Cornell MEng
  • Nishad S – MS in Embedded/EE (329, 7.98, 3 yrs work-ex) – UNCC, NCSU
  • Vikas S – MS in Mechanical (315, 9.08, 1 yr work-ex) – CMU, USC, U of Washington Seattle, ASU
  • Kevin G – MS in Mechanical (322, 9.1, Fresher) – U of Washington Seattle
  • Kevin G – MEM (322, 9.1, Fresher) – Cornell MEM
  • Indona V – MS in CS (325, 82%, 4 yrs work-ex) – NCSU, TAMU, UC Irvine
  • Anas S – MS in CS (324, 8.0, Fresher) – NCSU
  • Hardik J – MS in Mechanical (313, 68%, 5 yrs work-ex) – TAMU, U of Washington Seattle, UNCC
  • Shantanu K – MIS (317, 65%, 2 yrs work-ex) – U of Cincinnati, UMCP MIM, UIC, USF, UTD (50% tuition waiver)
  • Sahil N – MIS (312, 9.0, 2 yrs work-ex) – CMU, UMCP, NEU, USF, UTD, UIC
  • Neyaz S – MS in CS (331, 7.27, 4 yrs work-ex) – UFL, NYU Poly, Vanderbilt, SUNY Buffalo, IUB
  • Kalyan C – MS in CS (319, 8.3, 4 yrs work-ex) – UFL
  • Pranjal – MS in CS (303, 71%, Fresher) – RIT, U of Delaware
  • Ankita D – MIS (300, 8.92, 2 yrs work-ex) – Syracuse, NEU, IIT Chicago, NYU Poly, Stevens
  • Srishti S – MS in EE/CE (Robotics) (321, 66%, Fresher) – WPI, UNCC, Colorado State, NYU Poly
  • Yash G – MIS (321, 7.37, 2 yrs work-ex) – U of Arizona Eller, UIC
  • Vikrant M – MS in EE () – NYU Poly, U of California SantaCruz, Vanderbilt, SDSU, Utah State Uni
  • Vivek J – MS in Business Analytics (322, 7.24, 2 yrs work-ex) – Drexel with 12K scholarship, Louisiana State U, Waitlisted at University of San Francisco, University of Virginia
  • Deepthi V – MIS (314, 8.5, 2 yrs work-ex) – UMCP, Georgia State University
  • Alok S – MIS (322, 8, 3 yes work-ex) – TAMU, SUNY Buffalo
  • Saumya G – MS Chemical Engineering (314, 75%, Fresher) – Ohio State University, Columbia, ASU
  • Vinayak R – MIS (319, 72%, 2 yrs work-ex) – UIC, Syracuse, UMCP, U of Cincinnati, CMU, U of Arizona Eller
  • Jaskaran K – MEM (320, 8.36, 2 yrs work-ex in Mech) – Case Western Reserve University with 40% scholarship, UIUC MSTM, Duke
  • Srishty P – MIS (316, 78%, 2 yrs work-ex) – UT Dallas
  • Mohnish P – MIS (325, 8, 2 yrs work-ex) – CMU MIS
  • Samiksha R – MIS (294, 58.8%, 1 yr work-ex) – RIT, IIT Chicago, Texas Tech
  • Lokesh A – MS in CS (314, 60%, 2 yrs work-ex) – RIT
  • Ramya – MS in EE (304, 7.36, 1 yr work-ex) – NYU Poly
  • Sanket K – MIS (304, 63%, 2 yrs work-ex) – Stevens, WPI, USF, U of Florida, NYU MoT
  • Prakhar M – MS in Construction Mgmt/Environmental Engg (296,  , Fresher) – Steven, Bradley, IIT Chicago
  • Rohit A – MIS (299, 73%, 3 yrs work-ex) – NJIT, NEU, UNCC

And for all the graduate and to-be-graduate students, your academic life is incomplete until you read all the PhdComics. Here’s one for you-

MEM admit from Duke

Couldn’t be more excited as Duke is right at the top when it comes to MEM programs. And this admit comes to a reapplicant. Case study soon.

dukemem