5+
Tech Hub immersion programmes
Tech Hub immersion programmes
Industry-focused curriculum
designed with employers
of industry internship experience
The programme is built on foundational principles that challenge conventional engineering education:
70% of student evaluation is based on practical work—projects, internships, hackathons, industry certifications, and real-world problem-solving. Traditional exam-based assessment is complemented by outcome-based evaluation that mirrors how professionals are assessed in the workplace.
Students spend considerable time in India’s leading tech hubs such as Bengaluru, Hyderabad, Pune, and NCR, experiencing diverse startup and corporate ecosystems firsthand. This exposure is complemented by international immersion in global technology centres such as Dubai.
Every student has the flexibility to pursue career-focused placements or entrepreneurship. The programme provides robust support for both pathways, ensuring students are not confined to a single career trajectory.
AI-driven adaptive learning systems customise the curriculum based on individual student interests and career goals. Students can specialise across areas such as leadership tracks, entrepreneurship, and motivation theory, while pursuing challenge-based learning that keeps them engaged and motivated.
Mirroring real-world professional environments, students are evaluated on their outputs and contributions rather than traditional attendance metrics. This approach fosters self-discipline and accountability.
The most distinctive feature of the programme is the Tech Hub Immersion, a structured approach where students live and learn in premier technology centres, gaining exposure to diverse corporate cultures, startup ecosystems, and industry networks.
| YEAR/SEMESTER | LOCATION | FOCUS AREA & EXPOSURE |
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| Year 1 | Main Campus | Foundation building: Programming fundamentals, DSA, databases, algorithmic thinking. Industry visits and guest lectures. |
| Year 2 (Sem 3) | Bengaluru, India | India’s Silicon Valley: MNC ecosystem, startup culture, venture capital exposure. Advanced programming and cloud fundamentals. |
| Year 2 (Sem 4) | Hyderabad, India | Understanding of the World’s largest innovation campus, HITECH City ecosystem, pharma-tech integration. AI/ML foundations with industry projects. |
| Year 3 (Sem 5) | Dubai, UAE | Leading fintech hub. Exposure to global fintech leaders, blockchain innovation, AI startups. |
| Year 3 (Sem 6) | Delhi NCR, India | Fintech hub (Gurgaon), enterprise tech, media tech, government tech initiatives. Deep specialization and major projects. Partnerships in Gurgaon’s fintech hub and Noida’s tech corridor. |
| Year 4 (Sem 7) | Pune/Mumbai / Vietnam / Estonia | Pune/Mumbai: IT services hub, automotive tech, manufacturing
IoT. System design and architecture focus. Industry internships begin. Vietnam: Southeast Asia’s fastest-growing tech ecosystem. Exposure to fintech unicorns, FPT Software, and Vietnam’s emerging AI sector. Estonia (Cybersecurity Focus): World leader in e-governance and cybersecurity. Exposure to e-Estonia ecosystem, digital identity solutions, and top cybersecurity firms. |
| Year 4 (Sem 8) | Flexible | Final internship (6+ months)/capstone project at preferred location. Pre-placement preparation or startup incubation. Options include returning to any immersion hub or pursuing opportunities at new locations based on career goals. |
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The curriculum is designed around core technology domains that are in high demand across the industry, with built-in flexibility for students to specialise based on their interests and career goals.
AI/ML engineers command strong demand, with demand growing across every industry.
Machine Learning fundamentals and advanced algorithms
Deep Learning and Neural Networks
Natural Language Processing (NLP) and Generative AI
Computer Vision and Image Processing
MLOps and AI System Deployment
Security fundamentals are critical for building and maintaining trustworthy software systems in today’s digital landscape.
Secure coding practices and OWASP Top 10
DevSecOps and security integration in the development lifecycle
Network security fundamentals
Identity and Access Management (IAM)
Security compliance frameworks (GDPR, ISO 27001)
Strong system design skills are essential for building reliable, high-performance applications at scale.
Distributed systems fundamentals
High-availability and fault-tolerant architectures
Database design (SQL, NoSQL, NewSQL)
Microservices and API design
Performance optimisation and caching strategies
Cloud architects and DevOps engineers are critical for modern tech operations, with demand increasing 30%+ year-over-year.
AWS, Azure, and Google Cloud Platform fundamentals and advanced
services
Infrastructure as Code (Terraform, CloudFormation)
Containerization (Docker, Kubernetes)
CI/CD Pipelines (Jenkins, GitLab CI, GitHub Actions)
Site Reliability Engineering (SRE) principles
Students complete a cumulative internship experience ranging from 1 year across four years, structured to provide progressive exposure.
High-performing students are paired with industry leaders including CTOs, Engineering Managers, Tech Architects, and Startup Founders who provide:
The programme supports students in pursuing selected industry certifications, such as
AWS Certified Solutions Architect, Google Cloud Professional, Azure certifications,
Kubernetes Administrator (CKA), MongoDB certifications, and security certifications like
CompTIA Security+ and CEH.
These are indicative examples, and students may pursue
some of these certifications based on eligibility, progression, and programme alignment.
These certifications are aligned with programme objectives and help strengthen
employability by validating industry-relevant skills.
Students are encouraged to build real-world portfolios through freelancing while continuing their academic learning. The programme provides structured guidance and exposure to widely used platforms, such as:
For students interested in entrepreneurship, the programme offers comprehensive support through our startup incubation initiative:
Building strong fundamentals in programming, mathematics, and computational thinking
Students can solve algorithmic problems, build basic applications, and are prepared for competitive programming
Advanced programming, cloud fundamentals, and first industry exposure in India’s premier tech ecosystems
Industry Exposure: MNC campus visits, startup ecosystem tours, first internship (2-3 months)
Students can build production-quality web applications and have initial industry experience in India
International exposure in leading fintech hub, deep specialization in chosen domain (AI/Cloud/System Design/Security)
Industry Exposure: Gurgaon fintech companies, internship (2-3 months), CXO mentorship begins
Students have specialized expertise, first international work experience, and growing professional portfolios
IT services and manufacturing tech (Pune/Mumbai), Southeast Asian tech ecosystem (Vietnam), world-class cybersecurity training (Estonia), final placements, or startup launch
Industry Exposure: Pune IT parks, Saigon Hi-Tech Park, pre-placement internship (6+ months), startup incubation option
Graduates are fully industry-ready with 1 year of internship experience, global exposure across multiple tech hubs, and clear career trajectory
Applicable fee per semester: ₹
| Details | Scholarship Amount (per semester) |
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Following are the details of criteria and scholarship amount applicable
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Following are the details of criteria and scholarship amount applicable
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Following are the details of criteria and scholarship amount applicable
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Following are the details of criteria and scholarship amount applicable
| Percentage Slab | Scholarship amount (per semester) (in Rs.) |
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| CUET UG percentile equal to or more than 97 in atleast 2 of the mandatory subjects as per the eligibility of the programme |
157500 (i.e. 35% of Programme Fee) |
| CUET UG percentile equal to or more than 95 but less than 97 in atleast 2 of the mandatory subjects as per the eligibility of the programme |
135000 (i.e. 30% of Programme Fee) |
| CUET UG percentile equal to or more than 90 but less than 95 in atleast 2 of the mandatory subjects as per the eligibility of the programme |
112500 (i.e. 25% of Programme Fee) |
| CUET UG percentile equal to or more than 80 but less than 90 in atleast 2 of the mandatory subjects as per the eligibility of the programme |
90000 (i.e. 20% of Programme Fee) |
Candidates seeking admission to the B.Tech. (CSE- AI and System Design) with Global Tech Immersion programme must meet the following eligibility requirements:
Admission is based on LPUNEST or JEE Mains or CUET merit, subject to the fulfilment of the eligibility criteria.
Unlike traditional B.Tech. programs that are campus-bound, this program offers: (1) Tech hub immersions across 4 Indian cities and 3 international tech hubs, (2) option of 1 Year of cumulative internship experience, (3) Industry mentorship from CTOs and tech leaders, (4) Focus on high-demand specializations like AI, Cloud Computing, System Design, and Cybersecurity, (5) Dual pathway for placements or entrepreneurship, and (6) Global exposure and cross-cultural competency development.
Upon successful completion, you will receive a B.Tech. (CSE - AI and System Design) degree. This is a recognized undergraduate engineering degree with specialization in cutting-edge technology domains.
This is a 4-year undergraduate program (B.Tech.) spread across 8 semesters. The program combines classroom learning at the main campus with tech hub immersions across India and international tech hubs.
The cost of food, accommodation, and travel for all immersion locations is included as part of the program structure. Key industry certifications — including AWS Certified Solutions Architect, Google Cloud Professional, Azure certifications, Kubernetes Administrator (CKA), CompTIA Security+, and CEH — are also sponsored by the program up to a certain extent (which may vary from certification to certification) and do not require additional payment. There are no hidden academic costs. However, optional expenses such as additional certifications (beyond sponsored ones), personal travel, and lifestyle expenses during immersion are not covered.
The program has a structured scope to provide 10–14+ months of cumulative internship exposure. The university facilitates structured internship opportunities through industry partnerships. Final selection depends on student performance and company criteria.
The program targets placement packages of ₹30 LPA and above for high performers. With specializations in high-demand areas like AI/ML, Cloud, and Cybersecurity, along with 10-14+ months of internship experience, graduates are well-positioned for premium packages at top tech companies.
In case of visa rejection or delay, students will continue their semester through an alternative immersion plan, which may include participation at another international/Indian tech hub or continuation at the main campus, or structured virtual industry collaboration. Academic progression will not be affected.
Students can specialize in: (1) Artificial Intelligence & Machine Learning, (2) Cloud Computing & DevOps, (3) System Design & Scalable Architecture, or (4) Cybersecurity & Application Security. While all students get foundational exposure to all domains, they can deep-dive into their area of interest from Year 3 onwards.
1 year of real industry experience before graduation
Living and learning experience across India's premier tech hubs
International exposure through global immersion
Mentorship from industry CTOs, founders, and tech leaders
Deep expertise in AI, Cloud, System Design, and Cybersecurity
Flexibility to pursue leading placement opportunities or entrepreneurship
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