Department of Computer Science and Engineering

M. Tech. Program in

1. Industrial Software Engineering

2. Data Science

 

M. Tech. Program in Industrial Software Engineering

Course Structure:

Semester I

  • Stochastic Processes & Queuing Theory
  • Advanced Software Engineering
  • Program Elective I
  • Program Elective II
  • Program Elective III
  • Algorithms Lab
  • Software Engineering Lab

Semester II

  • Software Metrics & Measurements
  • Pattern Oriented Software Architecture
  • Program Elective IV
  • Program Elective V
  • Mini Project with seminar
  • Software Metrics & Measurements Lab
  • Software Testing Lab

Semester III

  • Dissertation I / Industrial Project

Semester IV

  • Dissertation II

List of Program Electives

Program Elective I

  • Principles of Compiler Design and Operating Systems
  • Advanced Algorithm
  • Distributed Operating Systems
  • Software Reliability
  • Machine Learning

Program Elective II

  • Software Agents
  • Software Quality Management
  • Human Interface System Design
  • Decision Support Systems
  • Computer System performance Analysis

Program Elective III

  • Artificial Intelligent
  • Service Oriented Architecture
  • Software development for portable devices
  • Cloud Computing
  • Software configuration management

Program Elective IV

  • Object oriented modeling & Design
  • Data Analytics
  • Design Patterns
  • Analysis of Software Artifacts
  • Software testing

Program Elective V

  • Software Management
  • Deep learning
  • Optimization
  • Software defined network

M. Tech. Program in Data Science

Course Structure:

Semester I

  • Mathematical Methods for Data Science
  • Data Modeling
  • Statistics and exploratory data analysis
  • Program Elective I
  • Program Elective II
  • Program Elective III
  • Data Modelling Lab

Semester II

  • Machine Learning with Python
  • Big Data storage and Analysis
  • Program Elective IV
  • Program Elective V
  • Mini Project with seminar
  • Machine Learning with Python lab
  • Big Data storage and Analysis Lab

Semester III

  • Dissertation I / Industrial Project

Semester IV

  • Dissertation II

List of Program Electives

Program Elective I

  • Cloud data Analytics
  • Cloud data warehousing
  • Cloud Computing and Data Science

Program Elective II

  • Edge Computing
  • Data optimization
  • Stochastic Process and simulation

Program Elective III

  • Introduction to computational learning theory
  • Advanced Algorithm Analysis
  • Financial Data Analytics
  • Parallel and distributed Computing

Program Elective IV

  • Computational Genomics
  • Deep learning & Watson
  • Business Intelligence with R & SAS

Program Elective V

  • Social and Web Media Analytics
  • Visual Analytics
  • Recommender Systems