International School of Engineering (INSOFE)

International School of Engineering (INSOFE) offers novel executive education programs in Data Science. INSOFE is the only institute in India which is certified by the prestigious Language Technologies Institute (LTI) of Carnegie Mellon University (CMU), USA for the quality of pedagogy, content and assessment. Our flagship program “Certificate Program in Engineering Excellence(CPEE)”, a 17-weekend program is aimed at transforming individuals into analytics professionals supported by a real-time project for about 150-200 hours after completion of the program. This program is broken down into 7 individual modules and based on organization’s needs; they have an option to nominate their employees for either individual modules or the entire program. We conduct calendar E-Learning programs, for those interested professionals/ Organizations who will not be able to travel and take our classroom programs. At the moment we have two programs in the e-learning space: 1. Essential Predictive Analytic Techniques: What Every Aspiring Data Scientist Must Know 2. Engineering Big Data with R and Hadoop Ecosystem We also offer exclusive programs to organizations with a minimum batch strength of 25 students for any of these 7 modules. Our Students learn this dynamic curriculum from INSOFE’s mentors who are thought leaders in their fields. At present the principal mentors include (i) a Ph.D from Stanford, who taught at MIT and Harvard and worked for research labs of IBM & GE. (ii) Another is a Ph.D from Johns Hopkins with 22 patents on his name. There are Ph.Ds from CMU & University of Pennsylvania with extensive consulting and teaching experience. We can confidently say that our faculty is second to none globally. The programs are designed to give the big picture to the engineer, to motivate with the real world scenarios, have them share the space with the world’s best and send back to their work place with renewed energy, ideas & skills. Most of the project work done by our students are real-time (OR) near real-time. A lot of organizations support us by offering prototypes of the datasets (masking confidential data) linked to their real-time business problem which in-turn is given as project work to our students who come out with solutions at the end of the project work.   For more information, visit here.