Department of
Computer Science & Engineering
Overview
The Department of Computer Science and Engineering (CSE) at Siddaganga Institute of Technology (SIT) is one of the premier departments offering undergraduate, postgraduate, and research programs. The department aims to provide quality education in Computer Science and Engineering through a combination of rigorous academic programs and hands-on experience. The department is known for producing high-caliber professionals with a strong foundation in software development, networking, data science, machine learning, and other cutting-edge areas of computing.
Program Details
Undergraduate Program:
- B.E. in Computer Science and Engineering
- Duration: 4 Years
- Focuses on core areas such as programming, data structures, networking, cloud computing, machine learning, and more.
Postgraduate Programs:
- M.Tech in Computer Science and Engineering
- Advanced study in areas like AI, data science, big data, and cybersecurity.
Ph.D.
- The department also offers Ph.D. programs in various research areas such as artificial intelligence, machine learning, and software engineering.
Vision & Mission
Vision
“To be a center of excellence in computer science education, producing skilled professionals and contributing to cutting-edge research in computing technologies.”
Mission
- To provide a comprehensive education in computer science and engineering, fostering creativity, innovation, and leadership in our students.
- To encourage research and development in emerging areas of AI, cloud computing, data science, and network security.
- To ensure our graduates excel in industry, academia, and entrepreneurship.
Student Life & Activities
- Hackathons & Coding Competitions: Regular coding events, hackathons, and design challenges to hone problem-solving and innovation skills.
- Workshops & Seminars: Opportunities to learn from industry experts in areas like AI, machine learning, and cloud computing.
- Student Clubs: Active clubs such as IEEE, ACM, and Tech Mahindra Innovation Club, where students can collaborate on projects and attend technical sessions.
Infrastructure & Facilities
The department is equipped with advanced computing facilities:
- Computer Labs: Fully equipped labs for programming, networking, and data analysis.
- Specialized Software: Tools for software development, data analysis, machine learning, and network security.
- High-performance Servers: For computational research and data-heavy tasks.
- Cloud Computing Resources: Facilities for students to explore cloud-based projects and research.
- Virtual Labs: For remote access to simulations and experiments.
Faculty
The department has a highly qualified and experienced faculty with expertise in areas such as software engineering, artificial intelligence, data science, cybersecurity, and more. Faculty members actively engage in research and collaborate with industry partners to stay ahead of emerging technological trends.
Academic Programs & Syllabus
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Undergraduate Program:
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B.E. in Artificial Intelligence & Data Science – A comprehensive 4-year program providing students with strong technical and analytical skills in computing, AI, and data management.
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Postgraduate Program:
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M.Tech in Information Science and Engineering – A specialized program that enhances expertise in artificial intelligence, cybersecurity, cloud computing, and data analytics.
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Ph.D. Program:
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Research opportunities in advanced areas like machine learning, blockchain, data science, and network security.
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Syllabus
Program Educational Objectives (PEOs) - UG
Graduates of the Computer Science and Engineering program will:
- Develop a strong foundation in software development, networking, and systems engineering.
- Pursue higher education and life-long learning to stay ahead of technological advancements.
- Demonstrate leadership, teamwork, and strong communication skills.
- Contribute to societal needs and ethical practices in technology.
Program Outcomes (POs) - UG
Graduates will be able to:
- Engineering Knowledge: Apply knowledge of computing and engineering fundamentals to solve complex problems.
- Problem Analysis: Analyze problems and create computational solutions.
- Design & Development: Design computing systems that meet specified requirements, ensuring safety, sustainability, and cultural considerations.
- Investigation & Research: Conduct research-based investigations and apply findings to real-world challenges.
- Tool Usage: Utilize modern tools, techniques, and IT resources to solve complex engineering tasks.
- Ethics & Professional Responsibility: Apply ethical principles in technology practice, with a commitment to public safety and sustainability.
- Communication: Communicate complex ideas effectively, both orally and in writing, to technical and non-technical stakeholders.
- Teamwork & Leadership: Work effectively in teams and as leaders in multidisciplinary environments.
- Life-long Learning: Recognize the importance of continual learning to keep up with the rapidly evolving tech landscape.
Industry Collaboration & Placement
The Department of Computer Science and Engineering has strong industry partnerships, offering students internship and job placement opportunities at top tech companies such as:
- Amazon, Google, Microsoft, Cisco, VMware, TCS, Infosys, Wipro, and others.
- Over 70% of graduates are placed in leading companies, and 30% pursue higher studies or entrepreneurship.
Achievements & Recognition
- The department has consistently produced top-performing students, with many of them securing positions at top tech companies worldwide.
- Faculty and students regularly publish research in international conferences and journals.
- Recognized as one of the best Computer Science departments in the region.
Alumni Success
Our alumni have excelled in diverse fields, including software development, data science, cybersecurity, and entrepreneurship. Many of our alumni hold leadership roles at top tech companies or have started successful ventures.
Gallery
Admissions
The B.E. in Computer Science and Engineering program admits students based on CET, COMED-K, and JEE Mains entrance exam scores. For postgraduate programs, candidates can apply based on their academic qualifications and research interests.
