

B.Tech. (CSE - Artificial Intelligence and Machine Learning) [Lateral Entry] at Lovely Professional University
The Bachelor of Technology (B.Tech.) program in Computer Science Engineering (CSE) with a focus on Artificial Intelligence (AI) and Machine Learning (ML) at Lovely Professional University (LPU) offers a comprehensive curriculum designed to meet the growing demand for skilled professionals in the fields of AI and ML. This lateral entry program allows students who have completed a diploma or equivalent qualifications to enter directly into the second year of the B.Tech. program.
Program Duration
The duration of this program is three years, which includes two years of advanced coursework in AI, ML, and other key areas of computer science engineering. This structure ensures that students gain specialized knowledge while building on their prior learning from diploma courses.
B.Tech. (CSE- AIML) Course Fee
The annual fee for the B.Tech. (CSE - Artificial Intelligence and Machine Learning) [Lateral Entry] program is ₹1,70,000. This fee covers tuition, lab facilities, and other necessary academic services. The university provides detailed information on fee structures, and students can check for updates on any additional fees for specific courses or services.
| Fee Details | Amount (INR) |
|---|---|
| Annual Tuition Fee | ₹1,70,000 |
| Hostel and Mess Charges | Varies |
| Other Charges (if applicable) | Varies |
The fee structure is designed to be competitive while ensuring the university maintains high standards of education and infrastructure to support students' learning needs.
Eligibility Criteria for B.Tech. (CSE- AIML)
To be eligible for admission to the B.Tech. (CSE - Artificial Intelligence and Machine Learning) [Lateral Entry] program, candidates must meet the following requirements:
| Eligibility Criteria | Details |
|---|---|
| Minimum Marks Requirement | 60% aggregate in Diploma (Engg.) / B.Sc. / BCA or equivalent |
| Higher Marks (for direct admission) | 90% aggregate in the same qualifications |
| Relaxation Available | 5% for North-East states, Defence personnel, or wards of migrants |
| LPUNEST Requirement | Required for all candidates |
| Additional Courses (for non-CSE/IT) | Optional courses to bridge knowledge gaps for non-CSE/IT students |
Academic Qualifications:
- The candidate must have passed with a minimum of 60% aggregate marks in one of the following:
- Diploma (Engineering): 3 years after 10th grade in any stream, or 2 years after 10+2 in a Non-Medical stream.
- B.Sc. (Non-Medical) or B.Sc. (Computer Science) or BCA or an equivalent qualification.
- OR, if the candidate holds a higher percentage:
- 90% aggregate marks in the same qualifications (Diploma, B.Sc., or BCA) as mentioned above.
- The candidate must have passed with a minimum of 60% aggregate marks in one of the following:
LPUNEST Exam:
- All candidates must qualify for the LPUNEST exam. This exam is designed to assess the candidate's aptitude and eligibility for the program.
- The LPUNEST exam can be taken through remote proctoring (online) or at a test center depending on the candidate’s preference and available resources.
This eligibility structure ensures that a wide range of students can apply for the program, making it accessible while maintaining high academic standards. The inclusion of extra courses for non-CSE/IT students provides an opportunity for everyone to succeed in this advanced program.
B.Tech. (CSE- AIML) Course Outline
The B.Tech. (CSE - Artificial Intelligence and Machine Learning) program focuses on equipping students with the skills necessary to excel in the rapidly evolving fields of AI and ML. The curriculum integrates fundamental concepts of computer science with specialized training in AI and ML techniques.
Some key highlights of the program include:
| Course Components | Details |
|---|---|
| Core Computer Science Subjects | Data Structures, Algorithms, Operating Systems, DBMS |
| AI & ML Concepts | Supervised & Unsupervised Learning, Neural Networks, NLP, Computer Vision |
| Practical Applications | Intelligent Systems, Robotics, Autonomous Vehicles |
| Emerging Technologies | Deep Learning, Big Data Analytics, Cloud Computing |
| Internship & Industry Exposure | Hands-on projects, research opportunities, industry collaborations |
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