Program Overview
Advanced expertise for the engineers of tomorrow.
Our M.Tech in Computer Science and Engineering program is designed for students aspiring to gain in-depth technical knowledge, engage in cutting-edge research, and develop innovative solutions in computing. As industries evolve towards advanced technologies, this program combines theoretical learning with research-driven applications to meet high-end industry and academic demands. The curriculum establishes a strong foundation in advanced computer science, covering subjects such as machine learning, cybersecurity, cloud computing, and big data analytics. Students specialize in cutting-edge topics like deep learning, blockchain technology, quantum computing, and high-performance computing, equipping them with the expertise required to solve complex computational challenges. With a focus on research and innovation, the program integrates industry collaborations, academic research, thesis work, and real-world projects to ensure students can apply concepts effectively. Graduates are well-prepared for careers in AI research, software architecture, cloud solutions, and cybersecurity. In addition to technical expertise, the program fosters problem-solving, research methodologies, and leadership skills. Guided by experienced faculty and industry professionals, students gain the knowledge and confidence to excel in both industrial and academic settings.
2
Years9
Seats4
Semesters
Eligibility Criteria
Admission Requirements
Applicants must have a Bachelor's degree (B.Tech./B.E.) in Computer Science and Engineering or a related discipline from a recognized university with a minimum required percentage as per university norms.
Program Outcomes & Objectives
PEO 1
Provide students with a broad background in computer science along with project management and people skills, leading to high-quality software professionals.
PEO 2
Build successful careers in industrial research and software development.
PEO 3
Ability to work effectively in interdisciplinary teams and tackle problems requiring both technical and non-technical solutions, enabling multidisciplinary projects.
PEO 4
Enable students to continue learning and expand their knowledge to navigate the ever-changing biztech world.
PSO 1
Able to analyze and design complex engineering problems to find optimal solutions to meet socio-economic needs.
PSO 2
Capable to apply numerical and mathematical foundation algorithms to develop models, simulate, and create research-based solutions.
PO 1: Critical Thinking
Ability to analyse complex engineering problems and apply acquired knowledge in an innovative manner to provide socially acceptable solutions.
PO 2: Research Skills
Creating a research temperament for achieving meaningful and long-lasting solutions in line with the changing needs of society.
PO 3: Use of Modern Tools
Ability to develop appropriate models/simulated solutions by using available state-of-the-art tools and techniques.
PO 4: Multidisciplinary Collaboration
Ability to achieve objectives by maximizing the potential of team members and collaborating with other stakeholders.
PO 5: Project Management and Finance
Ability to formulate economically viable solutions using acquired technical and allied knowledge base.
PO 6: Research Ethics and Lifelong Learning
Ability to exercise research ethics and enforce professional conduct in research, publications, and lifelong learning.
PO 7: Effective Communication
Ability to acquire effective listening, oral, and writing skills for executive presentations using ICT platforms.
PO 8: Environment and Sustainability
Analyse the impact of engineering solutions in societal and environmental contexts to address sustainable development needs.