How good is Columbia Data Science MS program?

Columbia MS in Data science Review

There are a decent number of Data Science programs in the US and their count is increasing every year. We are going to review how good Columbia Data Science program is in this post. We base it on the effectiveness of the curriculum, job opportunities and cost of attending. And then, in the end, we make our recommendation whether someone should attend this program or not.

Here, we go-

Columbia Data Science review by ScholarStrategy

Curriculum

It is a 30 credit course (10×3) with 7 core and 3 elective courses and 1 capstone project. Core courses include Machine Learning, Visualization, Statistics and Inference Modeling. Elective courses can be taken from any department (Journalism, CS, business school, ECE). For example, cloud computing and analytics, Big data, building story from data etc. It is a 1.5 years course (or can be completed in 1 year but not recommended). The curriculum is good and challenging. TA’s conduct special training sessions on Python and R whenever required for a course. One is expected to have a good understanding of Statistics and Linear Algebra. We feel that curriculum designed for an overall exposure and can give a good platform to begin your Data Science journey. 

Career opportunities

Being an Ivy league brand, expect good career services office and resources to help you find a good career opportunity. Data Science is a separate department and it holds a separate career fair only for DS students, which is a big plus. Additionally, Columbia career fair is open to all. Apart from this, the program benefits a lot from its location as there are multiple startup job fairs in NYC which are all a subway ride away. Arushi, despite being a fresher, managed offers from Amazon, Milliman Max, and Synergic Partners (Madrid). Everyone got an internship in 2016.

Cost of attending

This is where Columbia hurts. With around $60,000 in tuition alone and $2000 per mon of living costs, program is one of the costliest in the US. There are practically no scholarships and on-campus jobs pay very little ($10-12 per hour) and so does TAships ($2600 per sem).

Others

Location and Brand are a big plus and give you unlimited opportunities at networking and exposure. With average GPA of 3.7 and GRE score of 326+, the admission is very competitive. The program encourages freshers as well as non-CS grads to apply, therefore class is overall diverse in background.

Competing programs

Biggest competitors are CMU BIDA, CMU MCDS, Harvard DS, UT Austin MSBA, U Washington, Georgia Tech etc. While CMU is still the touted leader, Columbia Data Science is catching up fast.

Watch everything in a short video:

Result

So, given all the factors, we feel that Columbia Data Science program is defintely worth attending if one can manage the finances. We give it a rating of 4/5 hats!

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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-