5+
Tech Hub immersion programmes
The programme is built on foundational principles that challenge conventional engineering education:
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 |
|---|---|---|
|
Note:
|
||
| Year 1 | Main Campus | Foundation building: Programming fundamentals, DSA, databases, algorithmic thinking. Industry visits and guest lectures. |
| Year 2 (Sem 3) | Bengaluru | India’s Silicon Valley: MNC ecosystem, startup culture, and venture capital exposure. Advanced programming and cloud fundamentals. |
| Year 2 (Sem 4) | Hyderabad | T-Hub exposure (world’s largest innovation campus), technology ecosystem, pharma-tech integration. AI/ML foundations with industry projects. |
| Year 3 (Sem 5) | Pune | IT services hub, automotive tech, manufacturing IoT. System design and architecture focus. |
| Year 3 (Sem 6) | Delhi NCR | Fintech hub (Gurgaon), enterprise tech, media tech, government tech initiatives. Deep specialisation and major projects. |
| Year 4 (Sem 7) | Dubai | International exposure: Startup ecosystems, fintech innovation, and cross-border business networking. |
| Year 4 (Sem 8) | Flexible | Final internship or capstone project at a preferred location. Pre-placement preparation or startup incubation. |
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.
Security fundamentals are critical for building and maintaining trustworthy software systems in today’s digital landscape.
Strong system design skills are essential for building reliable, high-performance applications at scale.
Cloud architects and DevOps engineers are critical for modern tech operations, with demand increasing 30%+ year-over-year.
Students complete a cumulative internship experience ranging from 10 to 18 months 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.
Building strong foundations in programming, mathematics, and computational thinking.
*Indicative technical skill areas covered through coursework and practical learning.
Students can solve algorithmic problems, build basic applications, and are prepared for competitive programming.
Deep dive into AI/ML, system design, and the first industry immersion experience in major tech hubs.
*Indicative technical skill areas covered through coursework and practical learning.
Students build AI-powered applications, understand scalable systems, and gain real startup exposure.
Choose a specialisation track, participate in international immersion, and work on advanced capstone projects.
*Indicative technical skill areas covered through coursework and practical learning.
Students develop deep expertise in their chosen domain, gain global perspective, and build strong industry connections.
Final year project, placement preparation, or startup launch support with dedicated mentorship.
*Indicative technical skill areas covered through coursework and practical learning.
Industry-ready professionals with a portfolio of real projects, ready for top tech roles or founding startups.
Merit-based scholarship slabs and applicable fee per semester (450000)
| Details | Scholarship Amount (per semester) |
Applicable Fee after Scholarship (per semester) |
|---|---|---|
| LPUNEST score more than or equal to Category A
cut-off (Tentative LPUNEST Marks Required, cut-off 360 Marks out of 400,with variation of 20-25 Marks) Subject to minimum 70% aggregate marks in 10th or 12th. Or 98% or above aggregate marks in 12th or 10th. |
(i.e. 35% of Programme Fee) |
|
| LPUNEST score more than or equal to Category B
cut-off (Tentative LPUNEST Marks Required, cut-off 304 Marks out of 400,with variation of 20-25 Marks) Or 95% - 97.99% or above aggregate marks in 12th or 10th. |
(i.e. 30% of Programme Fee) |
|
| LPUNEST score more than or equal to Category C
cut-off (Tentative LPUNEST Marks Required, cut-off 220 Marks out of 400,with variation of 20-25 Marks) Or 90% - 94.99% or above aggregate marks in 12th or 10th. |
(i.e. 25% of Programme Fee) |
|
| LPUNEST score more than or equal to Category D
cut-off (Tentative LPUNEST Marks Required, cut-off 140 Marks out of 400,with variation of 20-25 Marks) Or 80% - 89.99% or above aggregate marks in 12th or 10th. |
(i.e. 20% of Programme Fee) |
|
| Examination Fee | |
|
| Uniform Fee |
Note: If opted for, global immersion options involve an additional fee.
Candidates seeking admission to the B.Tech Computer Science & AI program must meet the following eligibility requirements:
Merit in LPUNEST, subject to fulfilling eligibility criteria.
| Previous Schedule | Current Schedule | |
|---|---|---|
| Online Registration Starts on | 14th October 2025 | 26th January 2026 |
| Slot booking for online examination | 10th December 2025 onwards* | 5th February 2026 onwards* |
| Last date to apply and book slot for examination | 25th January 2026 | 10th March 2026 |
| Entrance examination dates # | 20th January 2026 to 5th
February 2026
(Test centre based exam) 10th January 2026 to 5th February 2026 (Remotely proctored exam) |
15th March 2026 to 31st
March 2026
(Test Centre based exam) 15th February 2026 to 31st March 2026 (Remotely Proctored exam) |
| Result of exam | 8th February 2026 | 3rd April 2026 |
| Online Counselling and Seat Allocation | 8th February 2026 onwards^ | 3rd April 2026 onwards^ |
| Details of Online Counselling | Update Online Seat Preferences | Result of Allotment | Date of Admission (subject to availability of seats) (scholarship subject to prevalence of scholarship scheme) |
|---|---|---|---|
| Round I | 8th February to 10th February 2026 | 12th February 2026 | 12th February to 20th February 2026 |
| Round II | 12th February to 20th February 2026 | 22nd February 2026 | 22nd February to 28th February 2026 |
| Details of Online Counselling | Update Online Seat Preferences | Result of Allotment | Date of Admission (subject to availability of seats) (scholarship subject to prevalence of scholarship scheme) |
|---|---|---|---|
| Round - I | 3rd April to 5th April 2026 | 7th April 2026 | 7th April to 15th April 2026 |
| Round - II | 8th April to 15th April 2026 | 17th April 2026 | 17th April to 25th April 2026 |
10–14 months 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