CPEE: Big Data Analysis 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 the students, working professionals and employers. every week, students pass 16 hours in the classroom. Most students dedicate other 20 a 40 hours to self-study, Tasks, testing and project work on weekdays.
Programming experience: R, Hadoop and its ecosystem
Topical experience: Statistical modeling, analysis of data, machine learning, text mining and optimization
Techniques: Regression, Time series, Decision trees, Clustering, Association rules, K-Nearest Neighbors, Neural networks, SVM, Genetic algorithms, Monte Carlo simulations, Linear programming, Quadratic programming, etc.
Infrastructure requirement:
INSOFE will provide students with all course material in hard copy and paper. Despite this, students must bring their individual laptops for lab sessions. Find the minimum required configuration:
- The minimum required is 4 GB of RAM, comfortable is 8 GB
- I5 processor / i3
- Hard drive 50 GB to VM (max.)
- Virtualization technology must be enabled (VTX enabled in BIOS)
Fee structure:
Details of the fee structure of INSOFE CPEE programs are given below:
Fee type amount
Rupee application fee 950
Payment method in installments (without interest)
Admission fee (payment 1) Rs 1,00,000 + 12.36% of taxes
Share 2 rupees 65,000 + 12.36% of taxes
Fee of 3 rupees 60.000 + 12,36% of taxes
Program fee (no-fee mode) –
5% discount on the regular rate
To be paid at the time of admission Rupee 2,13,750 + 12.36% Tax
Duration:
18 classroom weekends + 150 Project hours
Way:
Disconnected
Halftime, full time:
Part time
Course start date:
15 November 2014
Admission procedure:
According to the track you choose, you must take the respective entrance exam.
Academic record, work experience, 60% in entrance exam
The exam is not applied to those who have a standardized test and meet the minimum requirements below.
Verbal Exam (minimum) Quantity (minimal) Overall score (minimal)
GRE 145 155 300
GMAT 20 30 550
Relevant work experience, grades in recent academic degrees and performance on the online admission test form the basis for admission. Seats are limited and those who meet the above requirements will be offered admission on a first-come, first-served basis..
- Optional orientation sessions and individual counseling and counseling sessions are often held for qualified candidates. We encourage candidates to attend these sessions, since they provide the necessary guidance for the course. Interested candidates are asked to schedule these sessions by contacting our counselor at + 91-9502334561 / 63.
