Established in 2022, the Department of Computer Science (AI) offers a B.Sc. Computer Science (AI) programme under the self-financing stream, affiliated with the University of Madras. With a dedicated faculty and an industry-focused curriculum, the department blends theoretical foundations with hands-on training to equip students with essential AI and IT skills.
The Next-Gen UG programs at SDNB, in collaboration with FACE Prep Campus as the knowledge partner, are designed to ensure that students graduate not just with a degree, but also

● Certified in top industry tools
● Skilled in problem-solving, communication, adaptability, and execution
● Employable across tech, business, and finance sectors
● Ready to work, pursue higher education, or explore global opportunities
Objective:
● Develop Full-Stack Tech Talent – Train students in core computer science along with emerging domains like AI, ML, NLP, and Computer Vision, empowering them to become developers, analysts, or architects.
● Bridge Classroom and Industry – Blend theoretical learning with practical execution through real-world projects, hackathons, coding sprints, and company collaborations every semester.
● Build Global Competence – Enable students to earn certifications in cloud computing, AI, data engineering, and automation from global leaders like Microsoft, Google Cloud, and MongoDB.
● Enable Career Acceleration – Provide structured placement preparation including DevOps training, Git/GitHub mastery, resume building, and mock interviews starting from the fifth semester.
● Promote Startup Readiness – Instill an entrepreneurial mindset through project-based learning, venture pitching, MVP development, and tech incubation opportunities.
● Strengthen Core Competencies – Sharpen foundational problem-solving, algorithmic thinking, data handling, and software design through 80% hands-on sessions.
● Foster Collaboration and Communication – Integrate daily practice in team-based coding, presentations, peer review, and professional communication.
● Introduce Future Tech Early – Ensure early exposure to generative AI, blockchain, cloud-native development, DevOps pipelines, and social media analytics.

Benefits
Academic and Practical Excellence
● 80% hands-on learning with coding, data modeling, and algorithm-based problem-solving.
● Weekly tech hackathons, data challenges, and real-time software projects.
● Build a strong portfolio with AI models, full-stack web apps, and machine learning pipelines.
Certifications from Industry Leaders
● Certifications in Microsoft Azure, Google Cloud, MongoDB, UiPath, and TensorFlow.
● Aligned with in-demand tech roles like AI Engineer, Data Analyst, and Full-Stack Developer.
Career and Placement Outcomes
● Placements in tech giants and high-growth startups (product-based and SaaS companies).
● Real-time job readiness training in 5th and 6th semesters with mock interviews, Git, and DevOps.
Capstone Projects
● Projects in AI applications, FinTech algorithms, deep learning, and computer vision.
● Final-year innovation fair focused on tech demos and real-world AI solutions.
Entrepreneurship Support
● Launch AI or software-based startups (get support with cloud hosting, MVP development).
● Mentorship from tech founders, exposure to angel investors, and accelerator programs.
Global Tools & Platforms
● Hands-on with Python, GitHub, Tableau, TensorFlow, CI/CD pipelines.
● Cloud platforms: AWS, Google Cloud, Microsoft Azure.
Mentorship & Peer Learning
● Learn from developers, data scientists, and alumni in top tech firms.
● Collaborate on coding sprints, Kaggle projects, and open-source contributions.

The programme covers Computer Vision, NLP, Machine Learning, Blockchain, Cloud Computing, and Cybersecurity, ensuring students stay updated with emerging technologies. Industry collaborations with Face Prep, along with conferences, workshops, internships, and MOOC courses (Coursera, Spoken Tutorial), provide real-world exposure and skill enhancement.

With advanced computing labs and cutting-edge infrastructure, students gain practical expertise. A 100% placement record highlights the programme’s success, with graduates excelling in roles such as AI Engineers, Data Scientists, Machine Learning Engineers, Web Developers, and Business Intelligence Developers in leading multinational companies.