The Critical Role that the International Internship Program Plays in Securing Admission to a Top Global University

 

Building an exceptional & differentiated profile for securing admission into a global university requires a lot of patience & hardwork. Right from good academic scores, clarity of purpose, language proficiency to strong recommendations, all the elements come together to build a great profile. However, one more vital element from an admission committee’s point of view is the level of research (depth of subject knowledge) being displayed by the student. This is where an research oriented internship with a university professor during admission planning helps.

The International Internship Program at Manya allows students to complete their internship in a specific subject with a university professor/ researcher/ scholar or business leader! Students are able to expand and apply their knowledge of an academic subject in ways not possible within school courses. Paired with the state-of-the-art interactive communications and program management platform, students are able to collaborate with mentors in an accessible, convenient and organized remote learning environment that replicates in-person communication. With hard work, students not only complete a research project or written work/publication but can also earn a letter of recommendation – an influential asset for future admissions or employment goals!

 

  • 95+ professors, lecturers and scholars currently working at selective universities
  • 24-hour support from a dedicated program coordinator
  • While the mentorship program is only a part of the holistic admissions process to selective universities, students who have worked within our program have gone on to be accepted at selective universities such as Harvard, Princeton, Yale, Oxford, Cambridge, Columbia, Dartmouth, UChicago, Brown, LSE, KCL

 

Let’s look at some of the students who leveraged International Internship to build an exceptional global profile –

 

Aasrith Chennapraganda

City of residence: Hyderabad, India
School: Delhi Public School Nacharam
Intended Major: Physics/Aerospace Engineering
Age: 11th Grade

What challenges did he face?

He would like to grasp a higher level of theoretical physics in preparation for university in the near future.
He was trying to advance his Python skills to plot more useful statistical graphs, which will be helpful for his course work when he goes to university.

How did our program help him?

He managed to understand and calculate concepts of Quantum Mechanics that are normally taught at undergraduate college level. That jump in knowledge is certainly challenging! He also explored more in detail and managed to run computational calculations applied to Condensed Matter Physics.

“Aasrith was an incredibly polite and a very smart student. He answered pointed questions and solved his homework/computational project with ease. Excellent student that will do well at any top University” – Dr. Alberto De La Torre Duran, Brown University

 

Manya Mehta

City of residence: Gurugram, India
School: The Shri Ram School, Moulsari
Intended Major: Environmental Studies
Age: 11th Grade

What challenges did she face?

She would like to work on a research project in environmental studies, and need help in brainstorming a strong topic.
She has a wide range of environmental topics that would not logically be able to be combined in a single research paper project.

How did our program help her?

She was able to gain a better understanding of making references in her research paper.
She wrote a fantastic research paper that was later published on a Journal website

“She is a very thoughtful, responsible, and well-prepared student. She displayed a maturity and clarity of purpose that was on the level of the some of the stronger undergraduate students I have worked with at Brown.”  – Mr. Kurt Teichert, Brown University

 

Pranav Chiploonkar

City of residence: Bengaluru, India
School: Innisfree House School
Intended Major: Physics
Age: 11th Grade

What challenges did he face?

Due to time constraint on the student’s end, the mentorship session was conducted twice a weekly instead, and he has a lot to learn within the shortened timeframe.

How did our program help him?

He did an incredible 1-hour presentation for the mentor to assess him on various skills including presentation and theoretical skills.
Due to the student’s hard work and intelligence, the mentor will be writing a letter of recommendation for him.

“He is a smart, inquisitive and dedicated student. Extremely polite. I hope that if he decides to continue his studies in Physics, I have the chance to work with him in the future.”  – Dr. Alberto De La Torre Duran, Brown University

 

Samarth Kulkarni

Residency: Bengaluru, India
School: Greenwood High ICSE Campus Sarjapur Road
Intended Major: Computer Science
Age: Grade 10

What challenges did he face?

With certain foundation in computer science, Samvel would like to deep-dive into aspects of machine learning and learn advanced coding skills.
Samarth had to overcome the limitations brought on by the newness of BCI (Brain-Computer Interface) application development.

How did our program help him?

The program has proved to provide a new learning ground for Samvel, who learnt to use python and Jupyter notebook to reach his research goals and also to understand components of data visualization and applying to his datasets.

The program was able to challenge him sufficiently and to work with a qualified professor on a research which he has been interested in for a long time.

“Samarth and I took advantage of our generational differences and cultural differences to make diversity a strength in cooperative coding. I really enjoyed seeing that in action. He is an intelligent student with a great amount of sincerity and dedication to his work.” – Dr. Campbell, Brown University

 

Anusha Sarraf

Residency: India
Intended Major: Computer Science
Age: Grade 12

What challenges did she face?

Anusha would like to gain some experience into computer science which wasn’t taught in school.
Anusha was having a bit of problem with data collection and parameter citation during the course.

How did our program help her?

We set Anusha up in a 2-month program with Dr. Hoel focusing on artificial neural networks.
Aisha also used Python to construct simple, but effective, artificial neurons

“Anusha has been a wonderful student. She is always excited by the subject and always attentive. She never misses a class and asks great questions. The only thing challenging so far is just the material is of course quite advanced, but she has a very good handle on it.”

Gracia Jasper Arulraj

Residency: Tamil Nadu, India
School: Notre Dame of Holy Cross School
Intended Major: Cosmology
Age: Grade 12

What challenges did she face?

Gracia has a burning passion in Cosmology and would like to work with a professor who specializes on this research topic, but that wasn’t available in school.

Gracia was met with various challenging questions in her pursuit to develop the research paper, however that was solved by creating a question sheet Dr. Sanitt and Gracia shared on a regular basis.

How did our program help her?

Gracia was able to gain a deeper understanding in Astronomy and Cosmology theories to develop her research paper.
Gracia learnt to use the Hertzsprung-Russell (HR) diagram to investigate the relationship between the stars’ absolute magnitudes or luminosities versus their spectral class or effective temperatures.

“Gracia was extremely keen to learn and engage with the subject.
She is an extremely able student. In her own quiet way she succeeds in everything thrown at her: a pleasure to teach.” – Dr. Nigel Sanitt, former lecturer of UCL

 

Narmada Krishnasamy

City of Residence: India
Intended Major: Mathematics
Age: Grade 11

What challenges did she face?

She has good knowledge in Python but needed a robust research to put into her portfolio.

How did our program help her?

The mentor provided guidance on implementing Python and R together to specify time series models, which allowed the student to compute standard errors of coefficient estimates and permit computation of p-values.
She was able to analyze time series stock exchange and gained a deeper understanding into ARIMA models.

“She is extremely bright, focused and effective in her research work. Her organization of research results and analyses is excellent. She demonstrated a highly professional, mature and positive attitude about her research work during the program. She is a delightful person with whom I enjoyed every meeting.” – Dr. Peter Kempthorne, MIT

 

Arsh Kumar

Residency: New Delhi, India
Intended Major: Business/Computer Science
Age: Grade 11

What challenges did he face?

Arsh would like to gain some experience into satistical analysis which wasn’t taught in school.
Having an interest in business, he is also keen to explore on database analysis of potential franchisees for Indian businesses

How did our program help him?

We set Arsh up in a 2-month program with Dr. Kempthorne to master statistical concepts and methods for analyzing categorical and quantitative read-world data.

Arsh has learnt to develop algorithms for cleaning/filtering categorical data.

Through his hardwork and dedication, Dr. Kempthorne will be very happy to provide a letter of recommendation for Arsh to use on his college application.

“Arsh is incredibly bright and has an impressive work ethic. In addition he exhibited a highly inquisitive mind and demonstrated significant creativity in approaching his research project.” – Dr. Kempthorne, MIT

 

Srinath Reddy

City of residence: India
Intended Major: Computer Science & Mathematics
Age: Soon-to-be undergraduate Year 1

What challenges did he face?

He would like to start preparing for university course work since he has just graduated high school
He would like to deep dive into further mathematical concepts to analyze Indian stock market

How did our program help him?

Our mentor worked hard with the student in using R to plot different types of graphs such as time series and clustering.
Our mentor will be happy to write a letter of recommendation for the student for his undergraduate application.

“Siddharth fully met my expectations –he always came to our sessions well prepared and proactive in the research work. He is a very quick thinker and his optimism and enthusiasm make it very enjoyable to work with him.” – Dr. Peter Kempthorne, MIT

 

Ravi Raknash

School: PSG College of Technology
Intended Major: Robotics & Intelligent Systems
Age: Undergraduate, 20 years old

What challenges did he face?

Even though Ravi has good knowledge in Machine Learning, he needed a stronger portfolio to apply to his dream Master’s program.

How did our program help him?

We set Ravi up with Dr. Kempthorne to work on data wrangling in R and to apply fundamental statistical methods to analyzing real-world data and relevant probability distribution modeling.
Already with a good grasp of other programming skills, learning R language from Dr. Kempthorne was able to take him higher academically.
Dr. Kempthorne agreed to provide a letter of recommendation for the student.

“Ravi is extremely bright, thoughtful and analytical. He demonstrated a strong work ethic with proactive, self-motivated efforts. He has demonstrated high intellectual curiosity combined with effective, focused research work.” – Dr. Kempthorne, MIT

 

Mentor Profiles

 

Dr. Peter Kempthorne

Dr. Peter Kempthorne

MIT Lecturer,
Statistics, Financial Mathematics

Dr. Erik Hoel

Dr. Erik Hoel

Tufts Research Assistant Professor,
Biology

Dr. Alberto De La Torre

Dr. Alberto De La Torre

Caltech Researcher Associate
Physics

Dr. Chad Curtis

Dr. Chad Curtis

UW Lecturer
Chemical Engineering

Dr. Bruce Campbell

Dr. Bruce Campbell

Brown Assistant Professor
Computer Science

Dr. Tayyeb Shabbir

Dr. Tayyeb Shabbir

Upenn Professor
Finance

Dr. Eleanor Aversa

Dr. Eleanor Aversa

Berklee Assistant Professor
Music Composition

Mr. Kurt Teichert

Mr. Kurt Teichert

Brown Senior Lecturer
Environment & Society

 

Manya Advantage

Manya Education offers end-to-end study abroad services encompassing admissions consulting services, test preparation, English language training, career assessment and international internship opportunities to study abroad aspirants. Founded in 2002, Manya holds an impeccable track record of enabling more than two lac fifty thousand students to accomplish their study abroad dreams through its network of 45+ centres across India.

Manya has formed long-lasting global alliances with several market leaders in the education industry in order to maximise the benefits of its large service portfolio. Their list of esteemed partners and affiliations includes – The Princeton Review (TPR), Cambridge University Press (CUP), Admissionado, Cogito Hub, British Council, Tuding, Credila, to name a few. Manya has also forged 600+ partnerships with international universities.

Manya Education experts are always there to help you achieve your study abroad dream. For more information, call our Study Abroad Helpline 1800 102 4646.

(Visited 318 times, 1 visits today)
Book your Free Counselling Session now!

Leave a Comment

Planning to study abroad?
Get free 1-on-1 counselling with our experts

Subscribe to this blog