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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
(An Autonomous Institute affiliated to Savitribai Phule Pune University)
AICTE APPROVED | ISO 9001:2015 | NAAC A+ Grade | NBA [All Eligible UG Programs]
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Society for Computer Technology and Research's
PUNE INSTITUTE OF COMPUTER TECHNOLOGY
AFFILIATED TO SPPU | AICTE APPROVED | ISO 9001:2015

Computer Engineering

Vision

The Department of Computer Engineering strives to be a center of academic excellence in computer engineering education, fostering multidisciplinary research and empowering individuals to embrace global opportunities.

Mission

• Provide strong conceptual knowledge and hands-on experience to empower students for developing solutions by applyi/ng design thinking using state-of-the-art tools and technologies to shape individuals into successful professionals.
• Foster a dynamic research and innovation ecosystem that drives multidisciplinary advancements in computing.
• Inculcate professional ethics and effective communication skills to nurture leadership potential to address challenges in the field of Computer Engineering.

About Department

The Department of Computer Engineering was established in 1983 with the intent to provide quality education to the young aspirants. The department is pioneer in providing education in Computer Engineering among self financed institutes in Maharashtra. A team of 52 teaching and 10 technical staff members under the leadership of Dr. Geetanjali V. Kale unanimously harnesses its potential in all aspects to take the department to greater heights. The department had intake of 60 in 1983 and now the current intake for the undergraduate program is 240. The department has received approval from AICTE to conduct UG program for working professionals with 60 intake from A.Y. 2024-25. The Postgraduate (PG) program in Computer Engineering was started in 2000 with a student intake of 25 and PG in Data Science with an intake of 24 from 2020. Subsequently in 2013, intake is increased to 49 with addition of second division of 24 students. In 2020, the second division of 24 students is converted into PG in Data Science. From A.Y. 2022-23, both Data Science and Computer Engineering PG programs has intake of 12 students each. The department has a Ph.D. research centre, since 2012. All the UG, PG and Ph.D. programs are affiliated to Savitribai Phule Pune University (SPPU).

Students are regularly placed in top MNCs with an average package of 13.5 LPA. Our students are pursuing higher education in top universities (Indian as well as Foreign). The department encourages students to participate in various National and International level competitions, project exhibitions, hackathons, sports events and extra-curricular activities. Students have won awards in various competitions including significant achievements in Smart India Hackathon. Department is also assisting students in getting internships at niche companies with pre-placement offers.

Our Strengths

    ● Excellent result in University exams.
    ● Outstanding placements for students.
    ● Industry sponsored student projects and in-house product developments.
    ● Well qualified Teaching and skilled Technical staff.
    ● Publications at International / National Journals and Conferences by teachers and students.
    ● Effective participation and involvement in academic activities at university.
    ● Involvement in Research and active participation in Curriculum development.
    ● Best student chapters of ACM, IEEE, CSI.
    ● Organization of Seminars, Workshops, Conferences.
    ● Exposure of resource persons from Industries, Institutions and Government Agencies.
    ● Participation in Free and Open Source Software development.
    ● Student Achievements / Participation in Competitions like Projects, Hackathon, Quiz, Programming and Seminar Series.
    ● Key positions of department's alumni in industry, development of start-ups and entrepreneurship.
    ● Step towards Consultancy and Research.

    Goals

    Long Term Goals:
    1. Enhancing faculty competency for research activities.
    2. Establishing Centre of excellence in Analytics and Intelligent Learning.
    3. Getting funded research projects.
    Short Term Goals:
    1. Enhancing research publications in reputed journals.
    2. Intensify Institute Industry collaboration.
    3. Boost industry interactions resulting in consultancy.

  1. Professional Competence and Problem Solving: To prepare students with strong conceptual knowledge and practical skills to develop innovative computing solutions using modern tools, technologies, and design thinking principles.
  2. Research and Innovation: To encourage students to conduct multidisciplinary research and innovation by addressing emerging challenges in computing and allied domains.
  3. Ethical and Responsible Practice: To develop Graduates to exhibit professional ethics, integrity, and responsibility in their technical and societal engagements.
  4. Communication and Leadership: To nurture effective communication, teamwork, and leadership skills among students to excel in diverse professional environments and manage complex projects.
  5. Career Advancement and Lifelong Learning: To make students to pursue successful careers in industry, academia, or entrepreneurship and continually upgrade their knowledge to adapt to technological advancements.
  • PSO1: Apply computational thinking and design methodologies for software development, focusing on algorithms, design patterns, and theoretical frameworks.
  • PSO2: Implement and test solutions for specific problem by leveraging Open-Source tools and advanced skills with focus on performance optimization.
    1. Engineering knowledge: Apply the knowledge of mathematics, science,
      engineering fundamentals, and an engineering specialization to the
      solution of complex engineering problems.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. The engineer and society: Apply reasoning in formed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
    7. 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.
    8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
    9. Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
    10. 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.
    11. 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.
    12. Lifelong 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.

Other events include seminars, workshops, certificate courses, FDPs, faculty orientation programs, student training programs
  • Other Events
  • • Student Training Programs
    • Student Induction Program
    • Teacher – Guardian Meetings
    • Parents Meet
    • Feedback on Teaching / Learning Process
    • Communication Skills / Personality development Classes
    • Coding Classes by peers
    • Aptitude Classes
    • Yoga and Meditation Classes
    • Counselling sessions by Psychiatrist
    • E – Content Development
    • Innovative Teaching Methods using ICT

  • All the GATE qualified students receive stipend from AICTE
  • Students are placed in companies with good package.
  • Students internships with stipend.
  • Experienced Ph.D. qualified and PG recognized faculties.
  • Students paper publications in Journals.
  • Xperience seminar series for students.
  • M. Tech. dissertations in various domains such as Big Data, Cloud Computing, Artificial Intelligence, Deep Learning, Machine learning , Data mining, Security , Image processing etc.
  • Find details about PICT Computer Engineering M. Tech. programme in following link:
    Information Brochure

    Curriculum for M.Tech-CE (2024):
    https://pict.edu/time_table_syllabus/
    Curriculum for M.Tech-DS (2024)::
    https://pict.edu/time_table_syllabus/

    Note: For M. Tech.-CE and M. Tech.-DS admission 2024-25 related queries, contact admission@pict.edu, hodce@pict.edu.

    • 1. To prepare individuals with engineering fundamentals to solve real life multidisciplinary and social problems.
    • 2. To build ethical innovative competency.
    • 3. To demonstrate computer engineering foundation to conduct research and product development.
    • PO1- Develop an in-depth understanding of the principles, tools, and techniques and develop solutions for computational problems.
    • PO2- An ability to write and present a technical document for an identified problem.
    • PO3- Demonstrate professional skills to solve multidisciplinary problems.
    • PO4- Enable to conduct independent research and use knowledge of Computer Science and Engineering to solve societal issues.
    1. Recognize the problems & develop solutions by applying mathematical concepts and techniques to find the solutions for real-life problems and industry-relevant domains.
    2. Able to identify and execute projects relevant to Computer science and Engineering that will benefit society and communicate the findings of their analysis to the scientific community through quality publication.
    1. Develop an in-depth understanding of the principles, tools, and techniques and develop solutions pertinent to data science.
    2. An ability to write and present a technical document for an identified problem.
    3. Demonstrate professional skills to solve multidisciplinary problems.
    4. Enable to conduct independent research and use data science skills to solve societal issues.
    1. Recognize the problems & develop solutions by applying mathematical concepts and techniques to find the solutions for real-life problems and industry-relevant domains.
    2. Able to identify and execute projects relevant to data science that will benefit society and communicate the findings of their analysis to the scientific community through quality publication.

    About Ph.D.

    Find details about PICT Computer Engineering Ph.D. Research Centre in following link:
    Click Here

    List of selected students for ph.d. admission 2024-25:
    Click Here

     

    Last updated: April 23, 2025 at 10:42 am