

B.Tech. (CSE - AI and Data Engineering) at Lovely Professional University
The B.Tech. in Computer Science and Engineering with a specialization in Artificial Intelligence (AI) and Data Engineering at Lovely Professional University is a comprehensive undergraduate program designed to equip students with the skills and knowledge required to excel in the rapidly growing fields of AI and data engineering. This program focuses on building strong foundations in computer science while emphasizing advanced topics such as machine learning, data analytics, cloud computing, and big data technologies.
B.Tech. (CSE) Course Duration
4 Years
B.Tech. (CSE) Course Fee
| Year | Fee (INR) |
|---|---|
| Year 1 | 200,000 |
| Year 2 | 200,000 |
| Year 3 | 200,000 |
| Year 4 | 200,000 |
| Total | 800,000 |
Eligibility for B.Tech. (CSE) at Lovely Professional University
- Pass with 60% aggregate marks in 10+2 (with Physics, Mathematics, and English) subject to qualifying LPUNEST and an interview conducted by Futurense Technologies.
- Candidates who have not studied English as a subject may be considered if their qualifying examination was conducted in English medium or an equivalent subject.
- 5% relaxation is provided for:
- Candidates from North-East states and Sikkim
- Defence Personnel and their dependents
- Wards of Kashmiri migrants
- LPUNEST exam offers flexibility in the mode of examination:
- Online remotely proctored (recommended by the university)
- Test center-based options
B.Tech. (CSE) Course Outline
The B.Tech. (CSE - AI and Data Engineering) program at Lovely Professional University covers a range of core and specialized subjects. The curriculum is designed to ensure a balance between theoretical knowledge and practical application, enabling students to stay industry-ready.
| Category | Subjects |
|---|---|
| Core Subjects | Introduction to Programming and Data Structures, Digital Logic Design, Computer Networks, Operating Systems, Database Management Systems, Software Engineering Principles |
| Practical Training | Extensive lab sessions, internships, industry projects, and collaborations with leading tech companies for hands-on experience in AI & Data Engineering |
Graduates may also pursue higher studies, such as M.Tech. or specialized certifications in AI and data engineering, to further enhance their expertise and career prospects.
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