B.Tech

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 specialized 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.

B.Tech in Computer Science & Engineering (CSE) at LPU is a four-year engineering programme focused on software, algorithms, data structures, AI, cloud computing, cybersecurity and emerging tech. The curriculum blends theory with practical labs, projects, hackathons and industry internships to build job-ready skills. LPU has strong ties with big tech recruiters, and many CSE students get placed each year. the highest packages for CSE have reached up to ₹64 LPA in recent drives, with average salaries (for top performers) around ₹10–15 LPA, and typical offers ranging broadly based on skills and interview performance. Placement percentages often exceed 90%, making it popular for careers in software and IT.

Polaris School of Technology

Offers a 4-year B.Tech in Computer Science (AI/ML) awarded through Medhavi Skills University (UGC-recognised). �

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You graduate with a formal degree that makes you eligible for jobs, higher studies, and competitive exams. �

Shiksha

Combines academics with hands-on projects and industry exposure from early semesters. �

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Scaler School of Technology

Runs an intensive practical CS programme focused on coding, systems, and real projects. �

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Does not itself grant a degree. You're expected to pursue a recognised degree (like a B.Sc from BITS Pilani or BS from IIT Madras) in parallel if you want formal academic credentials. �

Scaler

Designed to build strong software engineering skills quickly and prepare for internships and job interviews. �

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Newton School of Technology

Offers a 4-year B.Tech (Computer Science/AI/ML) in collaboration with recognised universities like S-VYASA or Ajeenkya DY Patil. �

Newton School

You receive a formal university-awarded degree (UGC/AICTE approved). �

Newton School

Mixes traditional engineering coursework with updated tech skills and industry projects.

Quick Differences

Degree: Polaris & Newton both lead to a formal B.Tech. Scaler's programme alone does not give a degree; you must pair it with a degree separately. �

Scaler

Focus: Scaler is skills-first, Polaris/Newton mix academics with industry exposure. �

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Recognition: Polaris & Newton degrees are UGC recognised; Scaler's full credential depends on the degree you pair with it. �

The Computer Science and Engineering (CSE) programme at Lovely Professional University (LPU) is designed to meet global industry standards and emerging technological trends. The curriculum covers core areas such as programming, data structures, algorithms, artificial intelligence, machine learning, cloud computing, cybersecurity, and data science. LPU emphasizes hands-on learning through labs, live projects, internships, hackathons, and industry certifications. Students gain exposure through collaborations with leading tech companies, experienced faculty, and modern infrastructure. The programme focuses on innovation, problem-solving, and practical skills, preparing graduates for careers in software development, research, entrepreneurship, and higher studies.