Technology School

The B.Tech in Computer Science & Engineering (AI & ML) at Polaris School of Technology, awarded by Medhavi Skills University (UGC Recognized), is built on a Living Syllabus. This means while the core engineering credits are fixed, the specific tools and libraries are updated in real-time by industry founders to match current global tech standards (e.g., swapping older libraries for the latest AI frameworks).

Year 1: Foundation in Programming & Web Development

• Technical Focus: Front End Web Development, Foundations of Programming (FOCP), Java & Data Structures and Algorithms (DSA), Introduction to Back-End Development, Advanced DSA, MERN Stack (MongoDB, Express, React, Node.js).

• Outcome: Ability to build full-stack applications, contribute to global Open Source repositories, and secure first-year internships with high-growth startups.

Year 2: Industry-Ready Specialization

• Technical Focus: AI/ML Fundamentals, Advanced Back-End Systems, Introduction to Machine Learning, Data Science & Analytics, AR/VR Development, AI-Augmented Development, Introduction to Deep Learning, and AI Ethics & Responsibility.

• Outcome: Proficiency in building data-driven tools, ML classifiers, and VR projects.

Year 3: Advanced AI/ML Engineering

• Technical Focus: Applied AI/ML, Generative AI, Cloud Computing & DevOps (AWS/Azure/Docker), Neural Networks, Advanced DSA, and Natural Language Processing (NLP).

• Outcome: Capacity to train specialised AI models, deploy scalable cloud applications, and architect production-grade intelligent systems used in enterprise environments.

Year 4: Specialized Deep-Tech & Launch

• Technical Focus: Developing Custom LLMs (ChatGPT-style), Drone Programming, Smart Home & IoT Systems, Quantum Computing, Reinforcement Learning, and Autonomous Robotics.

• Outcome: Graduation with a diverse Product Portfolio and the opportunity to launch a venture through the PST Tech Combinator ($10,000 Seed Fund) or join firms as a Senior Product Engineer.

The official curriculum for the B.Tech in Computer Science & Engineering (AI & ML) at Polaris School of Technology, awarded by Medhavi Skills University, is structured to bridge the gap between academic theory and high-end tech industry requirements. The four-year programme is anchored by a 5,000-hour coding mandate and follows the NEP 2020 WISE (Work-Integrated Skill-Based Higher Education) model.

Year 1 (The Seed): Focuses on core Computer Science foundations, including Java, Advanced Data Structures & Algorithms (DSA), and Full-Stack MERN development, aimed at enabling students to secure early internships and contribute to global Open Source projects.

Year 2 (The Growth): Transitions into specialisation with AI/ML fundamentals, Data Science & Analytics, and AI-Augmented Development, while integrating real-world industry sprints.

Year 3 (The Maestro): Covers advanced technical domains such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP), and Cloud Computing/DevOps (AWS/Azure/Docker).

Year 4 (The Launch): Allows for deep-tech electives in Autonomous Systems, Robotics, or IoT, culminating in high-stakes product deployment or startup incubation through the PST Tech Combinator.

Progress is measured through shipped work and portfolios, ensuring graduates leave as capable engineers, not just degree holders.