Departments
Home
About
Programme
Faculty
Infrastructure
Activities
Events
Accolades
Research
FAQs

10,000+

Alumni

114

Acres

60+

Courses

300+

Esteemed Professors

The Department of Informatics is committed to driving innovation and excellence in emerging technologies and digital transformation. It offers an inclusive, innovative, and dynamic learning environment that fosters academic excellence, research, and holistic development. With a strong focus on data science, AI-based immersive learning, ethical values, and sustainable impact, the department connects research, industry, and societal needs. By promoting interdisciplinary thinking and hands-on experience, it prepares students to address global challenges and lead in rapidly evolving technological landscapes, while contributing to the sustainable development of both the institute and society.

PROGRAMME OFFERED
img

Regular

    img
  • B.Sc. - Data Science
    • img
  • B.Sc. - Computer Science (AI-Based Immersive Technologies)
    • img
  • M.Sc. - Data Science
    • img
  • M.Sc. - Computer Science (AI-Based Immersive Technologies)
    • img
  • Ph.D. - Computing Science and Applications

Batch I [9.15 AM - 1.45 PM] - Co-Education

    img
  • B.Sc. Animation and Multimedia
    • img
  • B.Sc. Computer Science
    • img
  • B.Sc. Artificial Intelligence
    • img
  • B.Sc. Computer Science (Cyber Security)
    • img
  • M.Sc. Computer Science (AR & VR)*

Batch II [11.45 AM - 4.45 PM]

    img
  • B.Sc. Computer Science

PROGRAMME OVERVIEW

  • B.Sc Data science
  • M.Sc. Data Science
  • B.Sc. Computer Science
    (AI-Based Immersive Technologies)
  • M.Sc. Computer Science
    (AI-Based Immersive Technologies)

B.Sc Data science

B.Sc. Data Science

"Launch Your Data Science Career with Confidence"

B.Sc. Data Science programme is designed to prepare learners for dynamic careers in one of the fastest-growing fields of the digital economy. The curriculum focuses on core areas such as Artificial Intelligence (AI), Machine Learning, Deep Learning, Big Data Analytics, Cloud Computing, and Data Visualization. With a strong emphasis on hands-on experience, the programme combines theoretical knowledge with real-world applications through industry-aligned projects, internships, and collaborative learning environments. Learners are trained to derive actionable insights from data, supporting informed decision-making across various sectors including business, healthcare, finance, and sustainability.

Key Highlights:

  • Industry-driven curriculum covering trending technologies
  • Practical learning through labs, case studies, and live projects
  • Career-ready preparation for roles such as Data Analyst, AI Engineer, and BI Developer
  • Internship and placement support through industry collaborations
  • Strong foundation for postgraduate education and research

M.Sc. Data Science

M.Sc. Data Science

"Lead the Next Wave of AI and Data Innovation"

M.Sc. Data Science programme is tailored for graduates seeking advanced expertise in data analysis, AI, and research. The curriculum offers in-depth training in Natural Language Processing (NLP), Deep learning architectures, including transformer models, while addressing complex real-world challenges through a sustainability and innovation lens. Learners gain exposure to modern AI tools, interdisciplinary applications, and research methodologies aimed at producing transformative and socially responsible data solutions. The programme fosters critical thinking, analytical rigor, and leadership in data-driven innovation.

Key Highlights:

  • Advanced focus on AI, deep learning, and transformative technologies
  • Opportunities for research, innovation, and sustainable development
  • Access to high-end computational tools and industry platforms
  • Internships and project collaborations with technology partners
  • Career pathways in data science leadership, research, and enterprise analytics

B.Sc. Computer Science
(AI-Based Immersive Technologies)

B.Sc. Computer Science (AI-Based Immersive Technologies)

"Shape the Future of Digital Experiences"

B.Sc. CS (AI-Based Immersive Technologies) programme prepares students for exciting careers in AI and immersive technologies like Augmented Reality (AR), Virtual Reality (VR), and Extended Reality (XR). It combines core computer science with hands-on training to build interactive and intelligent digital experiences. Students learn by doing through projects, labs, and industry collaborations while exploring applications in gaming, education, healthcare, and more. They also gain strong technical skills and industry-recognized certifications, enhancing their career readiness. The programme is delivered in an inclusive, innovative, and dynamic learning environment, helping students develop creativity, technical expertise, and problem-solving abilities.

Key Highlights:

  • Specialization in AI, AR, VR, and XR
  • Hands-on learning through projects and labs
  • Global certifications and industry-focused training
  • Access to advanced tools and cloud platforms
  • Internship, hackathons, and start-up support
  • Strong foundation for higher studies and careers

M.Sc. Computer Science
(AI-Based Immersive Technologies)

M.Sc. Computer Science (AI-Based Immersive Technologies)

"Innovate Intelligent and Immersive Futures"

M.Sc. CS (AI-Based Immersive Technologies) programme is designed for students who want advanced knowledge in AI and immersive technologies. It focuses on building smart virtual environments, interactive systems, and next-generation digital solutions. Students gain deep technical expertise, research skills, and exposure to industry tools and certification pathways through real-world projects and collaborations. The programme encourages innovation and leadership in an inclusive, innovative, and dynamic learning environment, preparing graduates for high-level careers and research.

Key Highlights:

  • Advanced learning in AI, AR/VR/XR, and spatial computing
  • Strong focus on research, innovation, and real-world projects
  • Exposure to modern tools, platforms, and certifications
  • Opportunities for internships and global collaborations
  • Career paths in AI, immersive tech, and research
  • Preparation for Ph.D. and leadership roles

SCOPE OF PROGRAMME

    img
  • Computer Engineers
    • img
  • IT Team Leads
    • img
  • Data Scientists
    • img
  • Software Developer
  • Data Analytics Roles: Data Analyst, Business Intelligence Executive
  • AI & ML Expertise: AI Engineer, Machine Learning Developer, ML Tester
  • Big Data & Analytics: Data Architect, Big Data Engineer,
  • Leadership & Strategy: Data Science Manager, AI Project Lead
  • Entrepreneurship: Data Science Consultant, Startup Founder
    img
  • Computer Engineers
    • img
  • IT Team Leads
    • img
  • Data Scientists
    • img
  • Software Developer
  • AR/VR/XR Development Roles: AR/VR Developer, XR Developer, AR/VR Game Developer
  • Design & Creative Roles: AR/VR/XR Designer, AR/VR Content Creator
  • Technical & System Roles: AR/VR Technical Architect, AR/VR System Analyst, XR Technology Specialist
  • AI & Emerging Tech Integration: AI Developer, Immersive AI Engineer, Smart System Developer
  • Industry Applications: Gaming, Healthcare, Education, Manufacturing, Real Estate, Marketing
  • Global Certifications & Skills: AI, Cybersecurity, Cloud, and XR certifications from Microsoft, Unity, Cisco, and Red Hat
  • Entrepreneurship & Innovation: XR Consultant, Startup Founder, Product Developer
  • Higher Studies & Research: Advanced studies, innovation projects, and Ph.D. opportunities
img

Highlights

img img
img

BEST PRACTICES

  • Students of computer science department maintaining various YouTube channels to exhibit their skills and knowledge.
  • Photography, Audio & Video Editing, Video Advertisement, Brochure Design, Flex Design (for various Institution activities).
img

FACILITIES

  • Computer Lab, Editing suite and Dubbing studio, Animation and Multimedia lab, VFX studio, Claymation and Creative Art Studio.
img

RESEARCH

  • 182 Research paper publications and 10 Books published.
  • Diverse and Multi-Disciplinary research approach.