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-

When NYU Poly changed the reject to an admit!

Fall 2015 decisions have started coming out and while we have much to cheer about, this experience of one of our students steals the show.

MP had received a reject from NYU Poly for his MS in Cybersecurity application despite a good profile and early application. He just did not sit dejected and decided to ask the Admission Committee a reason for the reject and restated the credentials that make him a good candidate. Now, in my experience, this is usually the moment when the university sends you a template email citing how they received  a great number of great applications and you just missed the mark. But, luckily for MP, NYU Poly Admission Personnel looked into it, recommended his name to the Admission Office and his reject was changed into an admit. Congrats MP!

Does it mean that you should start harassing every school that rejects you? No. Please don’t! But if you were really sure of your application to a comparatively safer school, it might be worth asking them for a reason politely. Most likely, you will not hear back from them or get that canned response but who knows when the luck might smile upon you? So, this was my feel-good story for the Fall 2015 batch.

I wish you all a good luck and we will be announcing the results as and when they come on our Facebook page – so join us there for updates!

A motivating story for students

As some of you go for your GRE or other exams, this story may help you getting that extra boost of morale.

There was a boy named Masaru in Japan. When he was young, he wanted to learn & master Judo. Unfortunately, he lost his left hand after an accident. He became very sad. When his father saw his condition, he took him to one the Great Masters of Judo in Japan. After thoroughly analyzing Masaru, the Master told him to come from next day for practice. Masaru became very happy after hearing this. On the first day, the Great Master taught him one trick and instructed him to practice it.

After one week, Masaru came back to the Master and asked for teaching him another trick as had practiced the first one long enough. Master replied him to practice the same trick again & again.

Another week passed, months and years passed.

One day, after 10 years of practice, Master informed Masaru that he has nominated his name for the national championship of Judo which will be conducted in Japan, next month. Masaru was shocked after hearing this as he had been practicing only one trick for the last 10 years. Master told him to be relaxed and calm. One the day of championship, Master advised Masaru to remain calm and concentrate on the fight and use only that trick which he has taught him. Masaru won the first fight and then the second one and gradually, he entered semi finals. He couldn’t believe himself. Master again advised him to remain calm and concentrate on the fight and use the same trick again and again. Masaru managed to enter the finals and then he thought that now it’s time to face the best one in Judo in Japan and the opponent will beat him very easily as he knows only one trick. When Master came to know about this, he gave him the same advice.

After the finals, Masaru won and couldn’t believe himself and started crying out of joy. When Masaru went to Master asked him how it happened, the Great Master replied that for the last 10 years, he has been practicing only one trick and he has become master of that. To counter this trick, the opponent has to hold his left hand which which he didn’t have. His weakness became his strength and he won.

Moral: Understand your strengths and weaknesses. Build strategy that will help you succeed and stick to it. A warrior who has practiced one move 10,000 times is more lethal than another who has practiced 10,000 moves one time. 

Supreeth featured in news for his Robotics research

One of the reasons we started Scholar Strategy was to help students find happy careers and then help other students. In this regard, we are extremely proud of our first student – Supreeth Rao. He has not only cracked first semester with a GPA of 4.0 (wow!) but his research was recently covered in news. So, anyone interested in Robotics, you have something to look forward to! Let us know if you have any doubts and we’ll help you get some advice from Supreeth.

supreeth-article
WPI Robotics Engineering doctoral candidate Velin Dimitrov, left, and graduate student Supreeth Rao walk with the school’s Autonomous Exploration Rover

Supreeth stuck to his passion even though he had to re-apply to get into a program of his choice. You can read his success-story here. His relentless work and dedication was bound to produce results sooner or later and we can only be proud for what he is building 🙂

P.S. we have more exciting announcements to make soon, stay tuned!

NYU students’ company acquired by Twitter

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The alert popped up in my newsfeed last night. My NYU Stern friends’ company TapCommerce was acquired by Twitter for $100M. It is news like this that makes you want to get out of bed and start working!

Full article on Techcrunch here.

For all you young MS and MBA aspirants, I wanted to point out that your time in grad school can be very precious. Do not rule out entrepreneurship. While you look for jobs, if an exciting idea or opportunity crosses your path, do not ignore it without thinking it through.

The founders of TapCommerce had started working on their idea early on in first year of MBA. With New York’s resources at hand, they could plenty of help and advice close by (this is why I stress on preferring big cities for MS). NYU has a Poly incubator and the founders were also part of InSITE fellowship program that pairs entrepreneurs with MBA students (I was also part of this fellowship). In the end, it was nothing but the sheer hard and smart work they put in but success came early. This can be your story too.

This is one of the most exciting times in Internet history and USA is one of the best places to be.

If you are thinking of applying for MS/MBA in 2016, check out our counseling packages and join in our exciting journey! Our students love us – read for yourself.

 

How to start preparing for your dream career from day one in grad school?

First things first, I wanted to provide an overview of how Scholar Strategy students fared in our first year and I feel both proud and ecstatic. 90% of our students received great/satisfactory admits and are joining grad school in US in 2014. Some of the schools we will be having our presence in are-

UIUC, UCSD, UT Austin, Columbia, TAMU, CMU, Cornell, Duke, WPI, NYU Poly, UTD, USF…

But the picture will be incomplete without mentioning that our students also got admits to these incredible schools-

UIUC, CWRU, TAMU, Syracuse, U of Arizona, Utah, UT Arlington etc. (wait, no USC!!)

We started small and did great. More importantly, we have full faith that our students are heading to brighter and happier phases of their lives. I like to measure my success by happiness created in the process and by that scale, we have done done wonders 🙂

Among our readers who were not officially working with us, I’m sure that many are heading abroad as well. If you would like to share your success story, we would love to publish it here!

And now, a very important announcement for all readers who are headed to USA this Fall-

We are conducting an online talk on ‘How to work towards your dream career when you start grad school‘. This will cover innovative strategies for landing great internships and full-time jobs. Remember that if you don’t land your dream jobs upon graduation, what is the point of having worked your a$$ off so far and getting into these great schools in the first place? We will also be covering some fantastic advice given by students who have successfully found their way into different industries (who we interviewed for our book).

The session will be conducted online on one of the upcoming weekends. We will mail you the date and time as soon as it is decided.

Speaker Profile: Nistha Tripathi (yours truly)

Profile of Grads/Professionals who have contributed advice:
1. PhD from UIUC, CS from IITK, now working at National Research Lab in US
2. MS from UIUC, Mech from IITK, now working as core engineer at Motorola
3. MBA from Chicago Booth, MS CS from RPI, now working in London
4. MS CS from Iowa State U, now working at Amazon

Update: If you missed the event, you can watch a replay here-

The slides were stuck in the first part of the video, so I uploaded the ppt separately here-

Do you want to craft a perfect career for yourself by studying abroad? Join our guidance and let’s create success stories together. Pick which counseling program fits your needs and contact us.

Case Study – MS in MIS (AG)

Presenting the case study of AG’s successful MIS application journey.

AG graduated from NIT Allahabad with a great GPA of 8.55 and incredible GRE score of 332 (170, 162, 5). He had a Toefl score of 112 and will be finishing 3 years of work experience at Oracle before moving for his MIS program. His professional and academic projects gave him enough credibility for the IS stream. His goal was clear from the beginning to go for MIS and not normal MS in CS. This helped focus on exactly the programs he wanted. Sometimes, students are trying to apply for both and their efforts eventually get diluted. Since his profile was above average, he selectively applied to only the top programs – CMU, TAMU, University of Arizona and IU Kelley. His first interview happened for Kelley but the group case study didn’t go as well as he wanted, turning into a reject. However, he aced all apps after that getting into CMU, TAMU and Arizona.

Some lessons-

  1. Stay focused, understand your goals and apply selectively
  2. Do proper school research, talk to current students and reflect that in your essays

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