CPEE – Big Data Analytics and Optimization is for students interested in all aspects of Analytics including working with Big Data using Hadoop.
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.
Programming Expertise: R, Hadoop and its Ecosystem
Topical Expertise: Statistical Modeling, Data Analytics, Machine Learning, Text Mining and Optimization
Techniques: Regression, Time Series, Decision Trees, Clustering, Association Rules, K-Nearest Neighbors, Neural Nets, SVM, Genetic Algorithms, Monte Carlo Simulations, Linear Programming, Quadratic Programming, etc.
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:
The details of the fee structure of the INSOFE’s CPEE programs are given below:
Fee Type Amount
Application Fee Rupee 950
Installment Mode (interest-free)
Admission Fee (Installment 1) Rupee 1,00,000 + 12.36% Tax
Installment 2 Rupee 65,000 + 12.36% Tax
Installment 3 Rupee 60,000 + 12.36% Tax
Program Fee (Non-installment mode)-
5% discount on regular fee
To be paid at the time of admission Rupee 2,13,750 + 12.36% Tax
18 weekends of classroom + 150 hours of Project
Part Time/Full Time:
Course Start Date:
15 Nov 2014
Based on the track you choose, you need to take the corresponding entrance examination.
Academic record, work experience, 60% on entrance exam
The examination is waived for those who have a standardized test and meet below minimum requirements.
Exam Verbal (Minimum) Quant (Minimum) Overall Score (Minimum)
GRE 145 155 300
GMAT 20 30 550
Relevant work experience, grades in latest academic degrees and performance in online admission test form the basis for admission. Seats are limited and those meeting the above requirements will be offered admission on a first-come-first-serve basis.