Vipul achieved a great feat by scoring Qualcomm internship despite being a fresher. This is a case study on how he did it.
Profile
Undergrad: EE at ISM Dhanbad
GRE: 313
GPA: 81%
Work Experience: None but relevant internships!
Full Interview
Vipul had his share of ups and downs as he tried to get a summer internship at CU Boulder. He was once rejected by Qualcomm before getting a second chance!
After getting rejected from Qualcomm first time and Micron for intern position, I got an offer from Seagate (Longmont office) for Platform Software Team. Qualcomm final offer came in the end.
P.S. Embedded Systems courses at CU Boulder are seriously great and are designed especially taking industrial views and skills required. Also, this area (Boulder and surrounding area) has lots of companies working on firmware/Embedded Software/storage solutions/Communications
Find out what helped Vipul crack internship at Qualcomm, how did he decide which courses to take, what was the interview process like, how did the overall jobhunt process work out etc etc.
Work With Us
If you are committed to get into a TOP school, we will do our best to help you. Plus, our Mastermind package is designed to prepare you for internship and job hunt much in advance. Join our counseling and let us build happy careers together.
Asha Shibu (LinkedIn profile) pursued MS Energy at TAMU but managed to head to Oak Ridge National Lab as a research intern/engineer. Now, she is applying for PhD with promising responses from Professors. Her review of MS Energy program is available on https://scholarstrategy.github.io/ssreview
She tells her story of getting into a research lab directly after MS. In this interview with her, we cover:
How to explore research options from MS?
Do you have to decide about PhD right away?
What matters when choosing a PhD program to apply to?
Commentary on job prospects in Power and Energy field in USA
How to contact Professors if you are applying for a PhD position?
As a bonus, Asha talks about how she has successfully been contacting targeted Professors in her area. She gracefully shares the email that she used herself to get responses.
Subject: Research on Building Energy Efficiency – Prospective Student
Dear Dr. ____,
My name is Asha Shibu and I’m an Energy graduate from Texas A&M University, currently working as Research Assistant at Oak Ridge National Lab. I’m writing to express my interest in your research on Energy efficient buildings at University of Massachusetts-Amherst.
My master’s coursework provided me with an interdisciplinary understanding of multiple aspects of the field, ranging from an overview of energy technologies; to multi-scale energy systems engineering methods; to energy economics, law, security, policy, and societal impact. During my coursework, I also worked at the Industrial Assessment Center (IAC) at Texas A&M University, a Department of Energy (DOE) funded program. In this position, I was trained to assess manufacturing plants and to identify measures that would save energy, reduce waste, enhance productivity, and reduce operating costs. As an Energy Engineer at IAC, I conducted ASHRAE Level I-II energy audits that resulted in $730,000 in recommended savings to date, and I developed practical skills in thermal systems, electrical power systems, building envelopes, HVAC, combustion systems, and lighting. The training I received at the IAC, along with courses such as “Energy Efficiency in Buildings,” sparked my interest in energy efficiency and sustainable energy resources utilized in commercial and residential buildings, and my desire to be involved in the field’s ongoing research led me to work for the Oak Ridge National Lab after graduation. As a researcher, I realize the importance of collaborating with others in the field, and at the same time, of an ability to work independently. Currently, I’m working on two DOE projects, and my interaction with the Energy Efficiency Research and Analysis Group at ORNL has sharpened my appetite for further knowledge in Building Technologies field and this is one area I could see myself exploring further in research as a graduate student.
I will be applying to Ph.D. program in Building Systems offered by University of Massachusetts-Amherst and would very much like the opportunity to join your group. Will you be accepting applications for new graduate students for entry in Fall 2018?
Thank you very much for your time. I hope we have the chance to speak about research in the near future.
Sincerely, Asha Shibu ASTRO Student Energy Efficiency Research and Analysis Group (EERA)
For more info on how to contact Professors, please check out MS Book.
So, without further ado, here is the interview with Asha Shibu.
We are now open for Spring/Fall 2019 admission cycle. Check out our counseling packages to see how we can help you.
Today we are profiling Shivani Singla who studies Computer Science at Stonybrook and joined as a Facebook Intern in Summer of 2018.
Profile
Undergrad: CS at Thapar University
GRE: 317
GPA: 8.65
Work Experience: 2 years at Sandisk before joining MS
I took Asynchronous Systems, Artifical Intelligence, Network Security and Algorithms in first semester. I really enjoyed Asynchronous Systems. It was really amazing. I developed Byzantine China Replication Protocol research paper written by research Professor from Cornell University.
Full Interview
We discuss the courses she took and activities she participated in first year at SBU, how much does the GPA matter, what was the Facebook internship hunt timeline and process.
Takeaways
Shivani again shows that it is possible to crack dream companies like Facebook and Google even if you hail from non-IIT schools in India. Even though Shivani started preparing late, she quickly realized what she needs to do in Grad School. Of course, you can learn from her hindsight and be more prepared for internship even before heading for MS!
Work With Us
If you are committed to get into a TOP school, we will do our best to help you. Plus, our Mastermind package is designed to prepare you for internship and job hunt much in advance. Join our counseling and let us build happy careers together.
Case Study time it is. Today, we are profiling Swati Sharma from Thapar University. She received an admit into Harvard Data Science program for Fall 2018.
Profile
GRE: 332
GPA: 9.88
Work Experience: Amadeus full stack developer since 2016
Timeline
Swati joined the counseling (Mastermind package) in October and spent 2-2.5 months refining her application with us. She applied to Harvard Data Science and CS program at other schools in Dec-Jan and received her first admit from Harvard in February. She also has an admit from Columbia and UCSD for CS!
We interviewed her to get a detail of how she had built her profile and managed to crack Harvard. Here you go.
Full Interview
Takeaways
Biggest takeaway for me is that any elite school is not out of reach for non-IIT or non-Google students. If you work hard in your undergrad, do interesting projects, score well in GRE, YOU CAN GET INTO TOP SCHOOLS. It is not dependent on big brands on your resume.
Internet has given us tremendous resource access. By taking worldclass MOOCs and applying that knowledge, you can prove your merit.
So, go for it. Dream big.
Work with us
If you are committed to get into a TOP school, we will do our best to help you. Join our counseling and let us build happy careers together.
Deepika was one of our Fall 2016 batch student who went to USC to pursue her MS in CS. She cracked a summer internship at Facebook in 2017. So, we caught up with her and talked how she managed it!
What does it take to get a Facebook Internship from USC?
If you are dying to know what it takes to head to facebook, dig in:
Background
Deepika had 3 years of experience before heading to USC including at companies like Expedia. However, she did not get an offer from Expedia in USA. That was a reality check and she prepared hard to crack good offers.
Want more advice?
More questions for Deepika?
What would you like to see our next video on?
Comment below to tell me what you think! And don’t forget to subscribe to our YouTube channel.
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”.
Announcing first admission for Spring 2016. Sharan has received an admit from UIUC for a course MS in Analytics. A full case study will be compiled soon but for now, here are some profile details:
Program admitted to: UIUC – Master Of Science in Statistics: Analytics Concentration
Undergraduation – BE Chemical Engineering from Bangalore
GPA – 9.16
GRE – 324
Experience – Very offbeat. First, pursued trading independently for two years, developing models on his own, then working with a securities firm for last one year. Lot of analytical experience.
Challenge – Non relevant major in Bachelors, no formal background in Stats/Analytics. Work experience also very self-learning and startupish. It was a challenge to build a coehernt convincing story.
Strengths – Passion for the field evident in the SOP, took trainings to compensate for missing background.
Lessons – Do not underestimate self-learning and genuine passion. It is possible to switch fields with a non-conventional background too.
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.
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
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-
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!
