PROGRAM OVERVIEW

The McKinsey Global Institute has predicted that by 2018, the US alone could face a shortage of between 140,000 to 190,000 people with deep analytical skills, and a shortage of 1.5 million managers and analysts who can leverage data analysis to make effective decisions for their organisations.
 

SP Jain's Professional Program in Big Data & Visual Analytics is a highly stimulating and application-based program that combines technical and business knowledge to help you provide solutions to the challenges that Information Sciences and Big Data pose on corporations in the 21st century.

PLEASE NOTE: THIS PROGRAM IS NOT ACCREDITED BY TEQSA, ASQA OR ANY REGULATORY BODY IN INDIA OR OVERSEAS.

PROGRAM HIGHLIGHTS

Why SP Jain's Big Data & Visual Analytics?

From Data Mining, Machine Learning and Cloud Computing to Linux, Algorithmic Training and Internet of Things – over the course of 6 months, SP Jain’s BDVA program takes you deep into every aspect of Big Data. And, not simply from a theoretical perspective, but also through practical, real-world projects and industry internships that help students, especially those with little or no work experience, supplement their academic knowledge with real-life industry experience, make meaningful contributions to companies, build strong professional contacts and explore full-time career opportunities.

Big Data is not just another fad. In an increasingly digital world, Big Data plays a very important role in driving decisions, innovation and productivity in large multinationals, non-profits and governments. It is being used to analyse social media trends to formulate election strategy, evaluate meteorological data to predict the weather or even to analyse retail data to drive more sales.
 
S P Jain’s one-of-a-kind professional program enables students to develop a thorough understanding of Data Analysis, rapidly adapt to the changing role of Information Sciences and bring in creative solutions to tackle the challenges that arise in modern business.
 
There is real value that can be extracted from analysing data and on graduating from this program, you will be able to help organisations:
  • Develop better strategies, improve operational efficiencies, reduce costs and terminate risks
  • Make information transparent and usable at much higher frequencies
  • Enable the collection of more accurate and detailed performance information on products, services and therefore, expose variability and boost performance
  • Allow finer segmentation of customers and enable customisation of products and services
  • Help in the development of the next generation of products and services

We offer an intellectually stimulating classroom environment steered by front-runners in business and academia who nurture participants to initiate, develop and launch ideas. These include industry experts, business leaders, visionary thinkers, innovators, strategists, researchers, entrepreneurs, pioneers and executives who have been the key enablers of innovation at leading multinational organisations.

In the last five years of our short but checkered thirteen-year-old history, our School and programs have been ranked by three of the world's top four business school rankings -- Forbes, Financial Times and the Economist. In each of these rankings, we are the youngest school featured -- an accomplishment we attribute to our unique and innovative model of business education. 

THE SP JAIN ADVANTAGE

The program is truly your gateway to exploring, analyzing and unravelling the complex, unstructured data-driven world. The program kicks off with 10 core courses that build a strong foundation for the second stage of the program which incorporates more in-depth and application-based learning.
 
Given the need for specialist knowledge, we provide a range of courses in cutting-edge topics like data mining, machine learning, visualisation techniques, predictive modelling, and statistics.
 
On completion of the program students would have learned to apply quantitative modelling and data analysis techniques to solve real world business problems, successfully present results using data visualisation techniques, demonstrate knowledge of statistical data analysis techniques utilised in business decision-making, apply principles of Data Science to the analysis of business problems, use data mining software to solve real-world problems and employ cutting edge tools and technologies to analyse Big Data.
The program incorporates a hands-on approach with emphasis on real-world problem-solving and extensive interaction with the industry.
 
PROGRAM CURRICULUM
 

MODULE 1

  • Statistics & Mathematics for Data Science
  • Foundation in Python & R

MODULE 2

  • Algorithms
  • Linux & Cloud Computing
  • Concepts in RDBMS, MoSQL, SQL

MODULE 3

  • Introduction to Big Data - Apache, Hadoop, Apache Spark on AWS
  • Introduction to Machine Learning

MODULE 4

  • Business Processors Management (Industries Case Studies)- Retail FMCG, Healthcare, Pharmacy, BFSI
  • Introduction to Proprietary Analytics Software – SAS, IBM -WATSON, SAP

MODULE 5

  • Deep learning with tensor flow on Spark

MODULE 6

  • Tableau Software
  • Virtual reality / Augmented reality
  • Jarvis and Artificial Intelligence

MODULE 7

  • Internet of things
  • Advance topics in machine learning (Perceptron, Ensemble learning)
  • Data Mining
  • Algorithmic training

MODULE 8

Project / Internship

The program equips students to fill the need for sophisticated expertise in varied domains such as IT, Consulting, BFSI, Telecom and Media, and in specialisations such as data mining, data modelling, data architecture, extraction, transformation, loading development and business intelligence development. The acquired techniques are essentially required for roles such as Data Scientists, Analysts, Developers and Consultants.

S P Jain offers an intellectually stimulating classroom environment steered by front-runners in business and academia who nurture participants to initiate, develop and launch ideas. These include industry experts, business leaders, visionary thinkers, innovators, strategists, researchers, entrepreneurs, pioneers and executives who have been the key enablers of technology innovation at leading multinatonal organisations.

Professor Mahendra Mehta
PhD – Electrical (IIT Bombay)
Area of Expertise: R
 
Professor Satish Patil
PhD (University of Minnesota); B.Tech, EEP - Business Analytics and Intelligence (IIM, Bangalore)
Areas of Expertise: Machine Learning,Statistics
 
Professor Amitabha Sinha
MS (IIT,Illinois,Chicago,US),B Tech (IIT Delhi),EPGP (IIM Bangalore)
Areas of Expertise: Machine Learning, Deep Learning in Data Science
 
Professor Anand Chitipothu
M.Tech (IISc); B.E
Area of Expertise: PYTHON
 
Professor Anupam Mondal
Phd Scholar (NTU Singapore); M.Tech; B.Tech (Jadavpur University)
Area of Expertise: Text Mining
 
Professor Debashis Guha
Ph.D (Columbia University); B.E (IIT, Kharagpur)
Area of Expertise: Advanced Machine Learning
 
Professor Dipankar Das
Ph.D; B.E
Area of Expertise: NLP
 
Professor Kalyan Roy
M Stat; B Stat (ISI Calcutta)  
Areas of Expertise: Advanced Statistics, Data Mining
 
Professor Nikhil Gujar
M.L (UniSA); MBA (NITIE); B.Tech (IIT Bombay)
Areas of Expertise: Data Structure, Algorithm
 
Professor Narasimha Karumanchi
MS (IIT Bombay)
Areas of Expertise: Data Structure & Algorithm (Python)
 
Professor Rammohan Mulaapudi
MS (IIT Bombay)
Areas of Expertise: Distributed Computing, HADOOP, Apache SPARK
 
Professor Raghavshyam (Shaam) Ramamurthy
MBA (Syracuse University)
Area of Expertise: Visualization
 
Prof. Srivatsa Srinath
MBA (IIM, Bangalore), MS (Penn State University), B.Tech (IIT, Madras)
Area of Expertise: Machine Learning
 
Prof. Sidharth Ramachandran
MBA (IIM, Kozhikode); B.Tech (IIT, Roorkee)
Areas of Expertise: SPARK, HADOOP
 
Professor Sunil D Lakdawala
PhD (Yale University); M.Sc.(IIT Bombay)
Area of Expertise: Data Warehousing
 
Professor Yogesh Parte
PhD (Applied Mathematics) France; M.Sc (IISc) Bangalore; B.E (Pune University)
Areas of Expertise: Mathematics, Machine Learning,Time Series 
 
big_data_analytics_brochure

ADMISSIONS

To apply for the Data Science & Visual Analytics, you must* have:
 
  • An undergraduate/postgraduate degree in a discipline with a strong quantitative component like: Engineering (any discipline), Mathematics, Physics, Statistics, Economics or Commerce
  • Two or more years of relevant work experience is strongly preferred
*Minimum eligibility criteria may be waived for exceptionally qualified candidates.
Click here to submit your application. 
Final selection of candidates will be on the basis of their performance in:
  • A one-hour aptitude test with numerical, quantitative reasoning, mathematics and statistical components
  • A personal interview for candidates who have performed well in the aptitude test
This is a very intense program and will require full concentration on all topics covered by specialists in a short time thus, each candidate will be assessed comprehensively to determine his/her eligibility for the program. Candidates will be evaluated based on their in-depth scientific knowledge, analytical skills and computational knowledge and expertise.
Total Tuition Fees: INR 500,000 (Plus applicable service taxes)

IMPORTANT DATES

 

 

Admissions are open to our November 2017 intake. 

TAKE THE NEXT STEP

Learn the key information technologies that are used to analyse Big Data, uncover the answer to the toughest of business challenges, discover patterns and pursue breakthrough ideas in today’s ever-changing businesses scenarios. Start at SP Jain. 

 

Apply now