Big Data Analytics is probably the fastest evolving issue in the IT world now. Therefore this specialization aims at providing not only the core technologies such as data warehousing, data mining and data modeling but also gives intensive inputs in areas of machine learning, artificial intelligence, and big data analytics.
 

Program Outcomes

 
Program Outcomes

Gain knowledge of statistical techniques and other associated tools and their applications to data analysis.

Program Outcomes

Ability for application of techniques of data modeling and data analysis to the solution of real-world business problems.

Program Outcomes

Appreciate the principle of Data Science in analyzing data and subsequent presentation using data visualization techniques.

 
Program Outcomes

Gain the knowledge of deployment of cutting edge tools and technologies to analyze Big Data.

Program Outcomes

Ability to define algorithms to build machine intelligence.

 
Big Data Analytics
 

Course Content

 
Semester 1
Theory Practical
Mathematics I    
Physics Physics Lab
Programing in C Language Programing in C Language Lab
Playing with Big Data    
Open Source and Open Standards    
Communication WKSP 1.1 Communication WKSP 1.1 Lab
Seminal Events in Global History    
Semester 2
Theory Practical
Mathematics II    
Basic Electronics Engineering Basic Electronics Engineering Lab
Data Structures with C Data Structures-Lab
Discrete Mathematical Structures    
Introduction to IT and Cloud Infrastructure Landscape    
Communication WKSP 1.2 Communication WKSP 1.2 Lab
Environmental Studies    
Appreciating Art Fundamentals    
Semester 3
Theory Practical
Design and Analysis of Algorithms Design and Analysis of Algorithms Lab
Computer System Architecture    
Web Technologies Web Technologies Lab
Functional Programming in Python    
Introduction to Internet of Things    
Securing Digital Assets    
Communication WKSP 2.0 Communication WKSP 2.0 Lab
Introduction to Applied Psychcology    
Semester 4
Theory Practical
Data Communication and Computer Networks Data Communication and Computer Networks Lab
Operating Systems    
Introduction to Java and OOPS Introduction to Java and OOPS Labs
Database Management Systems & Data Modelling Database Management Systems & Data Modelling Lab
Applied Statistical Analysis    
Current Topics in Business Analytics & Optimization    
Impact of Media on Society    
Semester 5
Theory Practical
Formal Languages & Automata Theory    
Software Engineering &  Product management    
Mobile Application Development Mobile Development Lab
Big Data & MapReduce    
Current Topics in Business Analytics & Optimization    
Minor Subject 1: Finance for Modern Professionals    
Logical and Critical Thinking (Philosophy)    
Aspects of Modern English Literature or Introduction to Linguistics (Choose any one)    
    Minor Project I
Semester 6
Theory Practical
Introduction to Machine Learning Introduction to Machine Learning Lab
Algorithms in Practice    
Business Intelligence & Data Visualization    
Current Topics in Business Analytics & Optimization    
Minor Subject 2    
Minor Subject 3    
Design Thinking    
Communication WKSP 3.0 Communication WKSP 3.0 Lab
    Minor Project II
    Industrial Visit
Semester 7
Theory Practical
Business Process Management    
Data Mining & Predictive Modeling    
Information Retrieval and Search Engines    
Minor Subject 4    
Business Economics    
    Major Project I
    Summer Internship Report Presentation
Semester 8
Theory Practical
Web Social and Mobile Analytics    
Operations Research and Optimisation    
Minor Subject 5    
Professional Ethics    
    Major Project-2 Submission and Presentation
 

Career Opportunities

 
 
  • Software implementation engineers (such as Cognos, SPSS/SAS, Informatica, etc)
  • Data Warehousing Specialists and System Administrators
  • BI/BAO Specialist and Architects
  • BI/BAO Project Managers
  • BAO Infrastructure Specialists

Potential Recruiters

 
IBM
accenture
 
AON Hewitt
EY
 

Admissions at a Glance

 
Approaching Deadline

Approaching Deadline

Session Starts August 2018!

Minimum Eligibility

Minimum Eligibility

B.Tech - Class XII – CBSE/State Board/ISCE 70%; IB 30 points

Application Fees

Application Fees

Rs. 1,500

key Links

key Links

Admissions

 
Ajay Natesh

"My decision to pursue a one year program taught me the time value of money. As an experienced professional, the one year that you spend at Great Lakes is a great learning experience that makes you a better management professional."

- Ajay Natesh, PGPM Class of 2006

National Sales Development Manager - Go To Market, GlaxoSmithKline (GSK) Consumer Healthcare

Please visit the Admissions page for further information.