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.

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From Data Mining, Machine Learning and Cloud Computing to Linux, Algorithmic Training and Internet of Things – over the course of 8 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 seven years of our short but decorated fourteen-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 8-MONTH PROGRAM INCLUDES THE FOLLOWING COMPONENTS:  
 
  • Data Science (Foundation): 240 hours (2 months)
  • Data Science (Advanced): 240 hours (2 months)
  • Specialisations: 240 hours (2 months)
  • Projects & Internships: 240 hours (2 months)
The program is truly your gateway to exploring, analyzing and unravelling the complex, unstructured data-driven world. The program kicks off with a 'Data Science Foundation' that builds 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 specialisations in cutting-edge topics like Banking & Financial Analytics and Marketing Analytics. 
 
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.
DATA SCIENCE FOUNDATION: 
  • Mathematics for Data Science
  • R Programming with Advanced Statistics
  • RDBMS and SQL
  • Data Visualization using Tableau
  • Data Structures & Algorithms Using Python
DATA SCIENCE ADVANCED: 
  • Machine Learning
  • Neural Networks
  • Deep Learning
  • Data Mining using Excel Miner
  • Apache Hadoop & Spark
  • NLP & NN 

SPECIALISATIONS

Stream A: Banking & Financial Analytics
  • Business Case Analysis and Modeling
  • Quant for BFSI
  • CRM and Analytics
  • Credit Research 1
  • Credit Research 2
* At the end of CR1 & 2, students will be able to appear for Certifications (like CCRA) and thereby, enhance their placement potential. 
** Case studies will be provided through corporate associations with organisations like Salesforce, Crisil, SEBI, Bloomberg and Edelweiss. 
 
Stream B: Marketing Analytics
  • Business Case Analysis and Modeling
  • Quant for Marketing
  • CRM and Analytics
  • Market Research 1
  • Market Research 2
* at the end of MR1 & 2, students will be able to appear for Industry Certifications and thereby, enhance their placement potential. 
**Case studies will be provided through corporate associations with organisations like Salesforce, Nielson, InterSpace, Amazon, Future Group and BigBasket.
 
VIEW DETAILED CURRICULUM

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.

Anupam Mondal
Phd Scholar (NTU Singapore); M.Tech; B.Tech (Jadavpur University)
Area of Expertise: Text Mining 
 
Debashis Guha
Ph.D (Columbia University); B.E (IIT, Kharagpur)
Area of Expertise: Advanced Machine Learning 
 
Dipankar Das
Ph.D; B.E
Area of Expertise: NLP 
 
Manish Khati
B.Tech in Computer Science (APJAKTU)
Area of Expertise: Python
 
Mehregan Mahdavi
PhD in Computer Science (Web Applications), School of Computer Science and Engineering, University of New South Wales (UNSW)
Areas of Expertise: Algorithms and Data Structures, Data Mining
 
Narasimha Karumanchi
MS (IIT Bombay)
Areas of Expertise: Data Structure & Algorithm (Python)  
 
Nikhil Gujar
M.L (UniSA); MBA (NITIE); B.Tech (IIT Bombay)
Areas of Expertise: Data Structure, Algorithm 
 
Prakash Jhawar
Masters in Mathematics and Computing, IIT Guwahati
Areas of Expertise: Mathematics and statistics for Data Science 
 
R Vivekanand
MBA (Monash University- Melbourne, VIC)
Area of Expertise: Tableau   
 
Raghavshyam (Shaam) Ramamurthy
MBA (Syracuse University)
Area of Expertise: Visualization
 
Satish Patil
PhD (University of Minnesota); B.Tech, EEP - Business Analytics and Intelligence (IIM, Bangalore)
Areas of Expertise: Machine Learning, Statistics 
 
Srivatsa Srinath
MBA (IIM, Bangalore), MS (Penn State University), B.Tech (IIT, Madras)
Area of Expertise: Machine Learning 
 
Suneel Sharma
M.Sc.(BITS, Pilani), PhD (Rajasthan University), CAP (Lancaster University)
Areas of Expertise: Visual Analytics, Computational Finance, Cloud Analytics 
 
Sunil D Lakdawala
PhD (Yale University); M.Sc.(IIT Bombay)
Areas of Expertise: Data Warehousing, Time Series 
 
Yogesh Parte
PhD (Applied Mathematics) France; M.Sc (IISc) Bangalore; B.E (Pune University)
Areas of Expertise: Mathematics, Machine Learning, Time Series 
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To apply for the Big Data & 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.
 
(Aptitude Test + Evaluation Fee: INR 3,000)
Total Tuition Fees: INR 500,000 (plus GST)

 

Admissions are open to our December 2018 Intake.

 

REGISTER FOR INFO SESSION
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.

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