- Established in 2020, this Undergraduate Programme is supported by Tata Consultancy Services (TCS), offering industry credibility and innovative syllabi. The curriculum features a 50:50 balance of theory and practical components, ensuring a hands-on approach to learning. Faculty are trained by TCS professionals, guaranteeing high-quality and effective teaching methods. The programme emphasizes cognitive abilities, design thinking, and critical problem solving to prepare graduates for real-world challenges. Graduates gain exceptional career opportunities in IT, ITeS (Information Technology Enabled Services), and ITIS (Information Technology Infrastructure Services) companies, ensuring a strong pathway to success in the technology sector.
- State-of-the-art classrooms
- Fully-equipped computer labs
- Advanced computing- AI workstation, Licensed Software, Tools, IDE Framework
- Specialized Labs- Cloud and Data Analytics Labs
- DBT Sponsored Labs- Bioinformatics Lab, IoT Lab
- Innovation Labs- AR / VR & MR Lab
- Curriculum - Well-crafted curriculum framework focused on learning outcomes. Syllabus embedded with industry 4.0 technologies
- Artificial Intelligence and Machine Learning
- Virtual, Augmented and Mixed Reality
- Robotic Process Automation
- Mobile Application Development
- Web Development
- Cloud Computing
- Big Data Analytics and Data Visualization
- Software testing and automation
- Industry exposure
- Internships – Elgi Dojo and Turbo start
- Projects – domains like Web, Mobile, AI and ML, Gaming, AR and VR, RPA, Security and IoT
- Industry visits to Interdisciplinary institutions and organizations
- MoUs with industries and ICT Academy, UiPath Academic Alliance, Automation Anywhere etc
- Online Certification
- Swayam NPTEL
- NASSCOM
- ICT Academy
- Coursera - online learning courses from top universities and industry leaders.
- Global immersion programs
- University of Michigan- Dearborn, USA
- Cetys University, Mexico Nottingham Trent University, UK.
- Machine Learning Engineer:25%
- Data Scientist: 20%
- AI Researcher: 15%
- Software Developer: 10%
- Robotics Engineer: 10%
- Other roles (Cognitive Systems Analyst, Human-Computer Interaction Specialist, etc.): 20%
- Technology and Software: 40%
- Financial Services: 15%
- Healthcare and Life Sciences: 15%
- Manufacturing and Robotics: 10%
- Other industries (Education, Consulting, etc.): 20%
- Leading AI and cognitive systems projects in major technology companies
- Developing innovative applications and products in the cognitive technology space
- Launching successful startups focused on cognitive systems and artificial intelligence
Employment Rate
Within graduation, 90% of our B.Sc. Computer Science with Cognitive Systems graduates find employment in technology-related roles, reflecting the high demand for professionals with expertise in computer science and cognitive systems.
Top Job Roles
Graduates from our B.Sc. Computer Science with Cognitive Systems program pursue various roles in technology, artificial intelligence, and related fields. Here's a breakdown of the most common job roles and the percentage of alumni in each:
Industry Distribution
Our alumni work across a diverse range of industries, demonstrating the versatility of the program. Here's the industry distribution for B.Sc. Computer Science with Cognitive Systems graduates::
Career Progression
Many of our B.Sc. Computer Science with Cognitive Systems graduates achieve career progression quickly. Approximately 30% reach senior-level or managerial positions within five years of graduation, indicating strong upward mobility in the cognitive systems and technology fields.
Average Starting Salary
The average starting salary for B.Sc. Computer Science with Cognitive Systems graduates is approximately Rs. 3,00,000 to 6,00,000 per annum, with significant salary growth as they gain experience and pursue specialized roles.
Advanced Degrees and Certifications
A significant percentage of our graduates pursue advanced degrees or certifications to further their careers in cognitive systems and artificial intelligence. About 25% pursue advanced degrees such as a Master's in Computer Science or Artificial Intelligence, and 15% earn professional certifications in areas like Machine Learning, Deep Learning, or AI Ethics.
Alumni Success Stories
Our alumni network provides valuable career support and mentorship. Many of our alumni have achieved notable success, including: