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Are you looking for a world-class career that will give you an opportunity to work with the top levels of any organization???
If yes, INSOFE is where your search ends. Our globally recognized CPEE course guarantees you a place with the Tiger Teams of any organization anywhere in the world. Our students are placed in the most happening data science organizations and typically earn 40-300% higher salaries than software engineers with the same experience.

Course at a glance


R, Hadoop and its Ecosystem

Mode of Teaching

Class and lab sessions on weekends (Saturday and Sunday); 4 hour class followed by 4 hour lab on real world data

Techniques taught

Statistics, machine learning, text and social media analytics, optimization and big data analytics.


INSOFE provides merit scholarships and internships.


Listed number three in the world between Columbia and Stanford universities.


Taught by experts who build products and consult with Fortune 500 companies when they are not teaching.

Mode of evaluation

Daily quizzes, exams at the end of every module, capstone project.
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More about CPEE program

Globally certified program

This program has been listed by CIO.com - a very authoritative IT magazine - among the best such certificate programs globally, alongside Columbia and Standford universities. CPEE is certified for the quality of Content, Pedagogy and Assessment by the Language Technologies Institute (LTI) in the School of Computer Science (ranked #1 by US News and World Report) at Carnegie Mellon University, USA.

INSOFE students are offered exclusive scholarships by Bowling Green State University for their masters program in analytics.

Cutting edge techniques

The topics covered in this program (for eg. deep learning, spectral methods, Spark) are not found in more than 95% of data science programs anywhere in the world and are accessible only to Ph.D. students from top schools. And yet, they are taught in a manner that people are able to apply them immediately in their work.

Faculty that is involved with industry and is at the cutting edge research

INSOFE boasts of brilliant, committed and passionate faculty that are thought leaders in data science. Our 4 full time and 8 visiting faculties are all PhDs from world's top universities. The visiting faculty work with premier R&D labs or have their own successful technology start-ups. This combined faculty network published more than 300 papers and own 35+ issued global patents. Between them, they consult with more than 25 global companies solving some of the cutting edge and daunting analytics problems. The classroom discussions are hence loaded with insights into solving complex real-world problems that you may just not find elsewhere.

Comprehensive skill sets

Some of the skills people will acquire from this certificate program are - Statistics fundamentals, Statistical Modeling, Data Analytics, Machine Learning, Text Mining, Optimization, Data Visualization, Communications and Ethics Issues in Analytics. Students will get techinical expertise in Regression, Time Series, Decision Trees, Clustering, Association Rules, K-Nearest Neighbors, Neural Nets, SVM, Genetic Algorithms, Monte Carlo Simulations, Linear Programming, Quadratic Programming etc.

Rigorous coursework & challenging projects

The course is fast paced to suit the needs of students, working professionals and employers. Each week, students spend 16 hours in the classroom. Most students spend another 20-40 hours on self-study, assignments, quizzes and project work during week days. Every student works on a real-world, advanced data science project.

The program runs for 22 weekends consisting of

  • Statistical analysis
    • Data exploration, visualization, regression, time series, bayesian methods
  • Big data engineering
    • Hadoop, Map Reduce, Hive, Pig, Spark, Sqoop
  • Machine learning
    • Trees, Neural nets, deep learning, rule induction, ensembles, collaborative filtering, SVM, clustering
    • Spectral methods, dimensionality reduction, PCA-SVD, matrix factorization
  • Text mining and NLP
    • Pre-processing, sentiment, entity extraction, search, graphs
  • Optimization
    • Linear, quadratic programming, evolutionary methods
  • Capstone Projects
A multi-pronged assessment approach ensures that learning is maximized. The assessments test the students on their ability to grasp terminology through concepts and their ability to apply those concepts in business problem scenarios.

These are done throughout the program to gauge their progress continuously. We do this with the help of "Projects, Wake-Up Quizzes (WUQs), Good Night Quizzes (GNQs), Feedback and Attendance". Students have to work on Real-world capstone projects to build an end-to-end solution to a real-world problem and test the application of concept. They have to write a project report and defend it. The projects must be completed within the stipulated timeframes to be eligible for being awarded the grades.

Students Speak on Our Programs

Karthik Kumar
"...INSOFE proved me wrong. INSOFE is the best place for working people who wants gain deep understanding on BIG DATA and Analytics."
Karthik Kumar
Associate Architect, Ascendia
K Sirisha
"It is my great privilege to thank the team at INSOFE for the valuable learning experience within a very short period of time with well-structured and planned course design."
K Sirisha
Consultant Data Scientist
Nikhil Gayal
"...I think this is the only course that teaches both theory and the application of that theory in various domain specific problems to figure out the solutions..."
Nikhil Gayal
Data Scientist, Red Hat

Fee structure, admission process & scholarship

INSOFE's Big Data Analytics and Optimization program offers a world-class curriculum which is on par with renowned Universities and is premeditated at an affordable course fee. The details of the fee structure of the INSOFE's CPEE program are given below:

Early Bird Offer for May 13 & 20th Batches (Batch 29 & 30 - Hyderabad & Bengaluru)

Enroll, take the online exam, Pay admission fee of INR. 50, 000 + 15% Service Tax On or Before March 31, 2017: INR. 3, 00, 000+15% taxes

Fee structure of the INSOFE's CPEE programs for registrations on or before 31th March 2017:

  • Application Fee: 3000 (Non-refundable)
  • Program Fee: 3, 00, 000 + 15% Service Tax
  • Pay in 3 installments (Interest free):
    • Admission Fee: 50, 000 + 15% Service Tax (Non-refundable)
    • First installment: 1, 25, 000 + 15% Service Tax
    • Second installment: 65, 000 + 15% Service Tax
    • Third installment: 60, 000 + 15% Service Tax
  • Full payment at the time of admission (Get 5% discount): 2, 85, 000 + 15% Service Tax deal

Fee structure of the INSOFE's CPEE programs for registrations after 31th March 2017:

  • Application Fee: 3000 (Non-refundable)
  • Program Fee: 3, 25, 000 + 15% Service Tax
  • Pay in 3 installments (Interest free):
    • Admission Fee: 50, 000 + 15% Service Tax (Non-refundable)
    • First installment: 1, 25, 000 + 15% Service Tax
    • Second installment: 80, 000 + 15% Service Tax
    • Third installment: 70, 000 + 15% Service Tax
  • Full payment at the time of admission (Get 5% discount): 3, 08, 750 + 15% Service Tax deal
Education Loan is available for the program with Credila, Axis and Avanse. Talk to our team for more details.
The admission process is competitive and aspirants need to qualify the entrance test conducted by INSOFE. Applicants will be admitted in to the program based on their performance in the entrance test, prior academic background, work experience and the availability of the seats.

Application fee: 3000 (non-refundable), payable online.

Scholarships, Fellowships & Internships

Awarded to top 10 – 15% performers in the competitive admission test, scholarships are awarded in the range of 50,000 to 100,000 to each qualifying student. This is awarded before the program commences.
INSOFE students have an extraordinary opportunity of paid internships, where they get to work on real-time industry projects under the guidance of data scientists and earn monthly stipend. The opportunities include product, R & D and consulting based real-time industry project. After laying the initial foundation during the 1st month of the course, the students are eligible for internship projects from the 2nd month onwards till the end of the program subject to availability.
Here's an indicative table to showcase how top performers can financially benefit from INSOFE's scholarship offerings:
Award Type Stage Grant Amount
Scholarship (stage 1) Before program commencement 100,000 or
Scholarship (stage 2) Upon completion of 3 months 100,000 or
Scholarship (stage 3) Upon completion of 6 months 100,000 or
Internship (industry project) During the program from the 2nd month onwards till 6th month Variable

Infrastructure Requirement

INSOFE will provide students with all the course material in soft & hard copies. However, students should carry their individual laptops for lab sessions. Please find the minimum configuration required:
  • Minimum required is 8 GB RAM comfortable is 12 GB
  • i5 Processor
  • Hard disk 50 GB for VM (Max)
  • Virtualization technology must be enabled (VTX -enabled in bios)
  • 64 bit Operating system

Postponement Policy

Postponement requests received less than 3 weeks prior to the start of program will be entertained solely at the discretion of INSOFE, depending on its ability to allocate that seat to someone else.
In case it cannot, such requests will be rejected and the policy with respect to refunds comes into force.
If the person is unable to continue in the same batch, he/she will forfeit the admission fee as per the policy. It cannot be adjusted against future admission.
If a student, for any reason whatsoever, decides to drop out of the program and requests to be allowed to continue participation in the next batch(es), the student will be required to pay the postponement fee of Rs.50,000 + 15% taxes or any applicable difference in the fees for the next batch, whichever is higher.
While we will try to accommodate the student in the next consequent batch to attend program, if the class is full and there is no space for the student to sit then he/she will have to watch the videos of the theory sessions and come to the institute to attend the lab sessions.
In addition, any remaining payments will have to be paid to INSOFE prior to the commencement of the classes in the batch being joined. The payment deadlines of the new batch are not applicable to these students. If the payment is not received prior to the commencement of classes, INSOFE will have the right to refuse admission.
Any postponement will be allowed only at the sole discretion of INSOFE. Even when such a postponement is permitted, it will only be applicable for the next immediate batch. Beyond that, the admission stands cancelled and the applicant will have to re-apply afresh.

Refund Policy

    The following refund policy is applicable to all program fee.
  1. The application fee is non-refundable.
  2. The admission fee is non-refundable.
  3. If a student wishes to cancel his or her admission after paying the course fee, the following refund amounts and conditions apply:
    1. Refund amount on cancellation greater than or equal to 30 days or more prior to commencement of the classes: 80% of Installment 1 amount.
    2. Refund amount on cancellation less than 29 days but greater than or equal to 14 days prior to commencement of the classes: 60% of Installment 1 amount.
    3. Refund amount on cancellation less than 14 days but greater than or equal to 7 days prior to commencement of the classes: 10% of Installment 1 amount.
    4. Refund amount on cancellation less than 7 days prior to commencement of classes (including after commencement of classes): NIL.
  4. Refunds, if any, will be processed within 30 working days.
  5. In all of the above cases involving course fee, the student can choose to postpone the admission to the next batch. In such a case, INSOFE reserves the right to postpone admission at the current fee structure at which the fee is paid or at the prevailing fee structure of the next batch. INSOFE's decision in such matters is final and not negotiable.

Effective as of September 02, 2015.


Surcharge clause

Transaction fee charges would not be refunded/ reversed under any circumstances for any refund/ reversal /chargeback and any other reasons. Transaction fees charged would be borne by cardholder for any payment.

Effective as of August 23, 2016.

Requests for change in location from one city to another must be placed atleast two weeks prior to the start date to the batch (and location) for which the participant is already registered.
Request for shifting of location during the program will be entertained only if there is a vacancy in the desired location
Such requests will be entertained solely at the discretion of INSOFE based on seat availability, etc.

Effective as of May 03, 2016.

  • 15,00,000 – 18,00,000 worth scholarships & fellowships per batch
  • Full fee waiver in the form of scholarships and fellowships
  • Attractive internship opportunity if working on industry projects
For Hyderabad office & classroom address please click here.    For Bengaluru office & classroom address please click here.

5 years of excellence and hundreds of successful alumni