Admissions 2016

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Academics

Data science has been in the forefront providing techniques to handle the flood of big data generated across the world. Statisticians and Computer Scientists together are developing the skill set required to collect, process and extract meaningful information from large and diverse data sets. Data visualization allows a way to understand the big data. Data scientists are required by every industry, government organization, and Internet start-ups to financial institutions to handle big data projects at every level.

Estimation by McKinsey and other agencies has reveled that by 2018, there is requirement for more than 2 million data scientists and 1.5 million managers and analysts who understand how to use big data to make decisions. 

This post-graduate programme, which specializes in Data Science along with core Computer Science & Engineering is aimed at enhancing the skill set of engineers to be data scientists. The programme also has adjunct faculty members from industry to share real time case studies.

Some of the industries employing data scientists include:

  • Pharmaceuticals
  • Computer Software
  • Internet
  • Research
  • IT and Services
  • Biotechnology
     

DURATION OF THE COURSE: 3 years (Weekend-only Program)

ELIGIBILITY CRITERIA:

  • Computer Science and Engineering
  • Information Technology
  • Electronics and Communication Engineering
  • Electrical and Electronics Engineering
  • Electronics & Instrumentation Engineering
  • MCA / M. Sc. in Computer Science / Software Engineering
     
CORE COURSES ELECTIVES                                                                               
Mathematical Foundations for Computer Science Object Oriented Design Data Compression
Introduction to Machine Learning High Performance Computing Distributed Operating Systems
Parallel Computer Organisation Parallel and Distributed Computing Mining for Big Data
Data Mining Cloud Computing Video Analytics
Advanced Databases Data Security Modeling and Simulation
Advanced Algorithms and Analysis Functional Genomics/Bio Informatics Internet of Things
Data Analytics Storage Management Financial Analytics
Computational Intelligence Information Retrieval Evolutionary Algorithms
Data Visualization Business Intelligence Wireless Sensor Networks
  Natural Language Processing  
Semantic Web

For all non-CSE background students a bridge course to be offered for first 3 weeks.

BRIDGE COURSES:

  1. Computer Programming
  2. Data Structures & Algorithms
  3. Database Management Systems 
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