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Master of Engineering in Computer Science and Engineering

Introduction

The Master of Engineering in Computer Science and Engineering is a postgraduate program designed to provide advanced knowledge and technical expertise in computing technologies. This program focuses on the development of strong analytical, problem-solving, and research skills required to address complex challenges in the field of computer science. It covers key areas such as algorithms, artificial intelligence, data science, software engineering, networking, and cybersecurity. The curriculum combines theoretical foundations with practical applications, enabling learners to design, develop, and optimize innovative computing solutions. The program also emphasizes research, innovation, and industry-oriented skills, preparing individuals for careers in academia, research, and the IT industry. Graduates are equipped to contribute effectively to technological advancements and play a significant role in the rapidly evolving digital world.

Master of Engineering in Computer Science and Engineering

2 Years
Postgraduate

Scope of the Department

Our Vision & Mission

Vision

To prepare competent and ethical software professionals to serve the society.

Mission

Program Outcomes & Objectives

Programme Outcomes (PO's)

PO1: An ability to independently carry out research / investigation and development work to solve practical problems.

PO2: An ability to write and present a substantial technical report/document.

PO3: Students should be able to demonstrate a degree of mastery over the area of Computer Science and Engineering.

PO4: Efficiently design, build and develop system application software for distributed and centralized computing environments in varying domains and platforms.

PO5: Understand the working of current Industry trends, the new hardware architectures, the software components and design solutions for real world problems by Communicating and effectively working with professionals in various engineering fields and pursue research orientation for a lifelong professional development in computer and automation arenas.

PO6: Model a computer based automation system and design algorithms that explore the understanding of the tradeoffs involved in digital transformation.

Program Educational Objectives (PEO's)

Engineering Graduates will be able to

PEO1: Develop proficiency as a computer science engineer with an ability to solve a wide range of computational problems and have sustainable development in industry or any other work environment.

PEO2: Analyze and adapt quickly to new environments and technologies, gather new information, and work on emerging technologies to solve multidisciplinary engineering problems.

PEO3: Possess the ability to think analytically and logically to understand technical problems with computational systems for a lifelong learning which leads to pursuing research.

PEO4: Adopt ethical practices to collaborate with team members and team leaders to build technology with cutting-edge technical solutions for computing systems.

PEO5: Strongly focus on design thinking and critical analysis to create innovative products and become entrepreneurs.

Programme Specific Outcomes (PSO's)

Students will be able to

PSO-1: Understand, analyze and develop computer applications in data Mining/ Analytics, Cloud Computing, Networking, Security, etc. to meet the requirements of industry and society.

PSO-2: Enrich the ability to design and develop software and qualify for Employment, Higher studies and Research.

Our Curriculum

Lab Facility

Advanced Data Structures and Algorithms Laboratory

Database Practices Laboratory

Computer Science and Engineering

Software Engineering Laboratory

Computer Science and Engineering

Multicore Architecture and Programming Laboratory

Machine Learning Laboratory

Computer Science and Engineering

Internet of Things Laboratory

Computer Science and Engineering

Deep Learning Laboratory

Faculty Information
Total record count: 4
S. No. Name of the Faculty Qualification Designation
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Projects
Total record count: 40
S. No. Project Team Register No Student Name Project Title Mentor Name
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