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Master of Engineering (M.E.) in Computer Science & Engineering

Know the M.E in CSE Program Structure [Computer Science & Engineering] here. All levels and courses are available here in detail.

Program Structure – M.E in CSE

Level 1

Foundation Courses

Concepts of Programming	Mathematics for Computer Science
Data types (native and derived)	Logic
Operators, precedence and exceptions	Mathematical Reasoning
Assignment and statements	Functions
Control flow (Conditional logic and looping logic)	Summations
Recursion functions, return types and parameters	Relations
Console and file I/O	Modular Arithmetic
Common libraries	Graphs
In addition familiarity with the following tools and techniques is useful:	In addition familiarity with the following tools and techniques is useful:
Express algorithms as pseudo code	Calculus
Version control systems	Algebra
Integrated development environments
Advanced libraries.

Level 2

Core Courses

Advanced Data Structures

Software Engineering Methodologies

Advanced Database Management Systems

Advanced Programming Languages

Computer Networks and Security

Research Methodology

Level 3 – M.E in CSE

Concentration Courses

The concentration courses are a coherent group of advanced courses that is relevant to integrating computer science with your career goals.

Software Development	Cognitive Science
Rationale: This concentration provides a solid foundation for a career that involves the design, implementation, and maintenance of large, complex software systems. The Courses are based on: Computer Graphics Database Systems Programming Languages Compiler Construction Advanced Web Technologies Artificial Intelligence Testing	Rationale: Cognitive Science studies the computational and representational structure of the mind. This concentration provides a general background in Cognitive Science that will provide an understanding of how Computer Science will contribute to Cognitive Science studies, and how Cognitive Science can impact Computer Science. The Courses are based on: Artificial Intelligence Language Acquisition Data Mining for Decision Making Neural networks
Artificial Intelligence	Web Design
Rationale: Many problems do not have algorithmic solutions. Artificial Intelligence is the study of computer information processing to deal with such problems or to simulate some aspect(s) of intelligent behavior. The Courses are based on: Natural Language Processing Knowledge Representation Internet Information Gathering Systems Multi-Agent Systems Language Acquisition Internet-based reasoning	Rationale: With the internet growing at such huge rates, everything is going to be tied to it soon. Java knowledge along with networking skills will prepare one well for dealing with internet applications. The Courses are based on: Computer Networks Data Compression in Multimedia Simulation of Computer Networks Advanced Web Technologies Legal Issues of the Mass Media Theories of Mass Communication
Bioinformatics/ Biotechnology	Econometrics & Banking
Rationale: Advances in Biotechnology and theoretical biology are fueled by computer technology. To fully understand how computers might be applied to this field, knowledge of Biochemistry and Cellular and Molecular Biology are important. The courses taken in this concentration emphasize such understanding. The Courses are based on: Concepts and technologies in Biotechnology Use of databases, tools, and methods for the storage, searching, and analysis of biological molecules Computational problems common to bioinformatics and apply classical computer science solutions to biotechnology Data Mining	Rationale:A concentration in Economics provides an opportunity to study the role that technology, especially computers, has played in money and labor-management issues and how technology has changed the way, businesses on a whole interact with one another. The Courses are based on: Intermediate Microeconomic Theory Banking and Monetary Policy Economics of Human Resources Econometrics Data Mining for Decision Making Knowledge Representation Internet Information Gathering Systems Data Visualization and Knowledge Discovery Trend Forecasting and Association mining
Game Design	Information Technology
Rationale: In order to have a good chance of getting a job in game programming, it is necessary to be familiar with the techniques and technologies used in designing games today. The Courses are based on: Educational Game Design Computer Graphics Computer Networks Simulation of Computer Networks Advanced Web Technologies Artificial Intelligence Artificial Intelligence and Games Elementary Linear Algebra	Rationale: An information technology professional today should be skillful and knowledgeable of networking issues, multimedia, databases, and programming for the internet, given the nature of today’s applications. This concentration will prepare one in these important areas.The Courses are based on: Multimedia and Interactive Design Database Systems Computer Networks Data Compression in Multimedia Simulation of Computer Networks Advanced Web Technologies Internet Information Gathering Systems
Management Information Systems & Project Management	Education Technology
Rationale: This concentration provides a general background in business, with a concentration in the use of computers as a management tool. As there are many different areas of business in which computers can be applied, there are many different business concentrations that could be appropriate, however, if your primary interest is in how business uses computers to gather and process information in order to make better management decisions, this concentration will provide a strong background in these areas. The Courses are based on: Survey of Accounting Management information systems Decision Support Systems Data Mining and Data Warehousing Introduction to Technology in BusinessProcess Systems Analysis and Implementation Enterprise Resource Planning Technological Problem Solving Problem-Solving Project Management	Rationale: The fast-emerging field of Educational Technology refers to the thoughtful design, implementation, and assessment of new media and technology. Initiatives to give the necessary impetus to create effective learning organizations are required. Educational Technology is the domain of the techno-cognitive era. The Courses are based on: Research, discovery, and sustainable technologies Distinctive education through the pioneering use of technology Using technology to develop talent for sustainable growth of industry and society Thoughtful design, implementation, and assessment of new media and technology to develop effective learning organizations Use and development of ICT concepts for Engineering Education

Level 4 – M.E in CSE Program Structure

Elective Courses
Designed to Support Concentration Courses

Application Development	Machine Learning
iOS Application Development	Soft Computing
Android Application Development	Artificial Intelligence
Web Development	Pattern Recognition
Security
User Interface Design
Data Analytics	Advanced Programming Concepts
Foundations of Data Analytics	Advanced Java Programming
Advance Data Analytics	Advanced Object-Oriented Programming
Big Data	.Net Programming
Data Warehouse	R Programming Language
Data Mining	Computer Graphics and vision
High-Performance Computing	Networks
Big Data	Ad-hoc Networks
High-Performance Computing	Wireless Networks
Cloud Computing	Network Protocol Design
Data Science	Advanced Network Forensics and Analysis
Software Engineering
Agile Software Development
Software Testing & Quality Assurance
Software Project Management
Object-Oriented Analysis & Design Using UML
Automated Testing

Level 5

M.E in CSE – Internship / Dissertation

The students have the option to pursue an internship at their parent organization or a research-based dissertation under the supervision of a mentor (on-roll faculty member), assigned by the university.

Check out this:

Computer Science Engineering Program Structure