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.

Yes, companies treat the B.Tech degree from Polaris School of Technology (PST) as a regular B.Tech qualification because it is awarded by Medhavi Skills University (MSU), a UGC-recognized State Private University established under the Sikkim Act, 2021. Under Section 2 (f) of the UGC Act, 1956, this degree is legally equivalent to those from any other recognised university, ensuring it successfully passes Background Verification (BGV) for MNCs,  Government jobs (UPSC/SSC), and higher education (GATE/MS). Since the curriculum follows the WISE (Work-Integrated Skill-Based Higher Education) model, companies often view the degree more favorably than traditional ones due to the integrated industry experience and hands-on technical skills gained alongside the academic credits.