Department of Artificial Intelligence & Data Science
Artificial Intelligence &
Data Science
Overview
The Department of Artificial Intelligence & Data Science at Siddaganga Institute of Technology (SIT) focuses on machine learning, big data analytics, cybersecurity, cloud computing, and AI-driven applications. The department is committed to academic excellence, cutting-edge research, and industry partnerships, preparing students for careers in AI, data science, software engineering, and emerging technologies.
Program Details
Undergraduate Program:
B.E. in Artificial Intelligence & Data Science
- Duration: 4 Years
The B.E. program equips students with in-depth knowledge in data structures, algorithms, database management, artificial intelligence, machine learning, cybersecurity, and software development, preparing them for successful careers in IT and related fields.
Postgraduate Programs:
M.Tech in Information Science and Engineering
Advanced study in AI, Data Science, Big Data, and Cybersecurity.
Ph.D.
The department also offers postgraduate and doctoral programs, with research opportunities in data science, artificial intelligence, cybersecurity, and cloud computing.
Vision & Mission
Vision
“To be a global center of excellence in Artificial Intelligence & Data Science, fostering innovation, research, and industry-aligned education.”
Mission
To develop professionals with expertise in AI, data analytics, and intelligent systems.
To promote research and innovation in emerging technologies.
To collaborate with industries for real-world exposure and skill enhancement.
Student Life & Activities
- Workshops & Seminars – Regular events on AI trends, data science applications, and cloud computing.
- Technical Clubs – AI and data science clubs for hands-on learning.
- Hackathons & Competitions – Encouraging innovation in AI-driven projects.
Infrastructure & Facilities
The department is equipped with cutting-edge computing infrastructure:
Innovation Labs – Dedicated spaces for research in AI, IoT, and blockchain technologies.
High-Tech Computer Labs – Equipped with state-of-the-art hardware and software tools for programming, cybersecurity, and data science applications.
Advanced Software Environments – Provides access to specialized platforms for AI modeling, cloud services, and big data analytics.
Cybersecurity & Networking Facilities – Hands-on labs for ethical hacking, penetration testing, and network security.
Cloud & Virtualization Resources – Offers real-world exposure to cloud-based computing, virtualization, and containerization technologies.
Remote Access & Virtual Labs – Enables students to conduct experiments and research remotely, ensuring flexibility in learning.
Faculty
The department comprises highly qualified faculty members specializing in machine learning, big data, AI ethics, and cloud computing. Faculty members actively engage in research and industry collaborations.
Academic Programs & Syllabus
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Undergraduate Program:
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B.E. in Computer Science & Engineering – A rigorous 4-year program equipping students with foundational and advanced knowledge in software development, algorithms, computer architecture, and emerging technologies.
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Postgraduate Program:
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M.Tech in Computer Science & Engineering – A focused postgraduate program offering in-depth learning in areas such as advanced computing, artificial intelligence, data science, cloud technologies, and cybersecurity.
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Ph.D. Program:
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Research-driven doctoral studies in cutting-edge domains like artificial intelligence, big data, IoT, distributed systems, and advanced software engineering.
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Syllabus
Program Educational Objectives (PEOs) - UG
Graduates will:
Apply AI and data science principles to solve real-world problems.
Pursue higher education and engage in lifelong learning.
Exhibit leadership, teamwork, and problem-solving skills.
Contribute to societal and industrial advancements with an ethical approach.
Program Outcomes (POs) - UG
Graduates will be able to:
Design and develop AI-driven solutions for various industries.
Implement modern data science tools and AI techniques.
Conduct research and develop innovative solutions for data-driven challenges.
Exhibit effective communication and teamwork skills.
Commit to lifelong learning and professional ethics.
Industry Collaboration & Placement
The department has strong industry partnerships, providing students with internships, projects, and placements. Graduates are placed in leading companies, including:
Google
Microsoft
Amazon
IBM
TCS
Infosys
Achievements & Recognition
- The department is recognized for research in AI, big data, and cybersecurity.
- 80% of students secure placements in top industries, while others pursue higher studies.
- Faculty and students have published research papers in reputed journals.
Alumni Success
Our alumni work in leading tech firms, research labs, and government organizations, contributing to the development of artificial intelligence, data science, and cybersecurity solutions worldwide.
Admissions
Admissions for B.E. in Artificial Intelligence & Data Science are available through CET, COMED-K, and JEE Mains. Postgraduate admissions are based on academic qualifications and research interests. For more details, visit the Admissions Page.
