Admissions 2024

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About the Course

The Master’s in Computer Science and Engineering program aims at equipping the graduates with advanced conceptual knowledge, technical skills and ability to pursue research in the field of Computer Science and Engineering, appropriate to the present ICT scenario. Apart from the core courses, the student may choose electives depending on his/her interests.

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  • To excel in Computer Science and Engineering education, research and project management by empowering the students with strong conceptual knowledge.


  • To educate the students with basic foundation blocks of core and allied disciplines of Computer Science and Engineering.
  • To provide practical skills in the advancements of the Computer Science and Engineering field required for the growing dynamic IT and ITES industries. CURRICULUM AND SYLLABUS M.TECH - COMPUTER SCIENCE AND ENGINEERING
  • To sculpt strong personal, technical, research, entrepreneurial, and leadership skills.
  • To inculcate knowledge in lifelong learning, professional ethics and contribution to the society.


  • PEO I: Excel in their professional career by applying advanced knowledge and/or pursue higher education including research by applying the knowledge of Computer Science and Engineering.
  • PEO II: To provide practical skills in the advancements of the Computer Science and Engineering field required for the growing dynamic IT and ITES industries. Curriculum and Syllabus M.Tech - Computer Science and Engineering.


  • PO I: Scholarship of knowledge: Acquire in-depth knowledge of specific discipline or professional area, including wider and global perspective, with an ability to discriminate, evaluate, analyze and synthesize existing and new knowledge, and integration of the same for enhancement of knowledge.
  • PO II: T Critical Thinking: Analyze complex engineering problems critically, apply independent Judgment for synthesizing information to make intellectual and/or creative advances for conducting research in a wider, theoretical, practical and policy context.
  • PO III: Problem Solving: Think laterally and originally, conceptualize and solve engineering problems, evaluate a wide range of potential solutions for those andarrive at feasible, optimal solutions after considering public health and safety, cultural, societal and environmental factors in the core areas of expertise.
  • PO IV: Research Skill: Extract information pertinent to unfamiliar problems through literature survey and experiments, apply appropriate research methodologies, techniques and tools, design, conduct experiments, analyze and interpret data, demonstrate higher order skill and view things in a broader perspective, contribute individually / in group(s) to the development of scientific of scientific / technological knowledge in one or more domains of engineering.
  • PO V: Usage of modern tools: Create, select, learn, and apply appropriate techniques, resources, and engineering and IT tools, including prediction and modeling, to complex engineering activities with an understanding of the limitations.
  • PO VI: Collaborative and multidisciplinary work: Process knowledge and understanding of group dynamics, recognize opportunities and contribute positively to collaborate multidisciplinary scientific research, demonstrate a capacity for self-management and teamwork, decision—making based on open-mindedness, objectivity and rational analysis in order to achieve common goals and further the learning of themselves as well as others.
  • PO VII: Project Management and Finance: Demonstrate knowledge and understanding of engineering and management principles and apply the same one’s own work, as a member and leader in a team, manage projects efficiently in respective disciplines and multidisciplinary environments after consideration of economic and financial factors.
  • PO VIII: Communication: Communicate with engineering community, and with society at large, regarding complex engineering activities confidently and effectively, such as, being able to comprehend and write effective reports and design documentation by adhering to appropriate standards, make effective presentations, and give and receive clear instructions.
  • PO IX: Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in life-long learning independently, with a high level of enthusiasm and commitment to improve knowledge and competence continuously.
  • PO X: Ethical Practices and Social Responsibility: Acquire professional and intellectual integrity, professional code of conduct, ethics of research and scholarship, consideration of the impact of research outcomes on professional practices and an understanding of responsibility to contribute to the community for sustainable development of society.
  • PO X1: Independent and Reflective Learning: Observe and examine critically the outcomes of one’s actions and make corrective measures subsequently, and learn from mistakes without depending on external feedback.


  • PS O1: Possess knowledge in Advanced Operating System, Advanced Database Technology, Advanced Data Structures & Algorithms for analyzing and solving complex problems.
  • PS O2: Acquire the skill set especially in Data Science and Engineering, Software Engineering and Information Security.
  • PSO3: Solve complex problems through innovative system design using modern tools and techniques.

Salient Features

  • The curriculum is oriented towards research and solutions to real life problems.
  • Students have the flexibility to choose the electives from a wide range of courses as per their interest and current trends in technologies.
  • Students are provided with extensive hands-on practical exposure on a wide range of software tools and hardware on subjects relating to the curriculum as well as current needs of the industry.
  • Internship and MOOC are part of the curriculum.

Eligibility Criteria

B. E / B.Tech Degree in CSE / ECE / EEE / EIE / IT, MCA, M.Sc in IT / CS, AMIE or other equivalent degree.



  • The Master's in Computer Science and Engineering program offers advanced level and research oriented courses in computer science and engineering The discipline courses covered are advanced level Networking, Data Structure Algorithms, Advanced Database Technologies, Computer Architecture, Distributed Computing and Computational Intelligence.
  • The course M. Tech., in CSE with specialization in Data Science and Engineering offers courses to equip graduates to become Data Scientists who can conceptualize, design, analyze and develop computer software to process and analyze big data. The courses covered in this program are intelligent systems, computer vision, Big data Analytics, Data Visualization techniques and Data classification methods. This specialization has high demand in various private and non private industry, government and non-government organizations. There is lot of employment opportunity for Data Scientist, Data Engineering and analytics
  • The students investigate complex problems through research and use appropriate modern engineering tools to find solutions using the well-equipped Deep Learning Centers with the IBM NVIDIA tools to build scientific models and simulations
  • The students have the opportunity to select the high quality online MOOC course of their choice outside the curriculum and out for their Interest.
  • Internships are offered to enable the PG students to gain valuable work and research experience. There they have the opportunity to do internships at National Informatics Centre, HTC Global Services and CSIR and other reputed organizations.
  • Students can do additional courses/projects in foreign universities through a semester exchange program to Multimedia University, Malaysia, Yildiz Technical University (YTU), Turkey.
  • All PG students have the opportunity to publish their research work and projects in reputed Journals and Conferences
  • On successful completion of the course the students are hired in industry, academia, public service, research, business, commercial organizations, manufacturing sector, etc. The average annual salary offered to such postgraduates ranges between INR 5-15 Lakhs. Some Industries to mention are Infosys, Amazon, HTC, etc.,
  • The students can pursue research programs either in India or abroad.