Department of
Computer Science and Engineering

Programs Offered

  • B.Tech. CSE
  • B.Tech. CSE (AI & ML)
  • B.Tech. CSE (Cyber Security)
AI and ML
  • In the next10 years, AI and ML, Datascience will touch nearly every aspect of human endeavor, transforming the way we live and work.
  • The students will learn about the most effective Artificial intelligence and Machine learning techniques, and gain practice implementing them and getting them to work for society.
  • Course content shall be delivered by industry persons from Prag Robotics.
  • Employment Opportunities in Data Scientist, Machine Learning Scientist, Lead Machine Learning Researcher, Machine Learning Algorithm Developer, Video ML Engineer etc.
  • Graduates will be successful engineers in their career.
  • Graduates will demonstrate diversified technical, professional and entrepreneurial skills in the Computer Science and Engineering and allied discipline.
  • Graduates will communicate, plan, coordinate, organize, make decisions and lead the team effectively.
  • Graduates will be a lifelong learner and exhibit ethical and social responsibility.
  • Engineering Knowledge Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • Problem Analysis Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • Design / Development of Solutions Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
  • Ability to understand and analyze the computer engineering principles and to acquire competency in design and development in the emerging areas including Internet of Things, Data Science, Computer Vision, Computer Networks and Security.
  • Ability to evolve as an ethical computer engineer with up-to-date technical skills to solve societal and environmental problems in an innovative way.
The B.Tech. Computer Science and Engineering program curriculum is approved by the board of studies expert members and PMIST academic council .In general, Curriculum maintains the balance in the composition of Basic Science, Engineering Sciences, Humanities and Social Sciences, Program Core, Program Electives, Open Electives, Projects Work and Employability Enhancement. The feedback from the alumni members, faculty , students, recruiters and industry experts were taken and the short-comings were identified along with the data collected from reputed National & International universities though their websites. Analysis is done for attaining the PO/PSO’s through the curriculum.
Admission 2024-25
Apply Now