Lovely Professional University

Lovely Professional University

Jalandhar - Delhi G.T. Road.
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4.2 Ratings
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Private|Estd. 2005|NAAC Grade A++|NIRF #48 (Engineering) 2025

Written By Sneha Ramchandani

Updated on – 13 Oct, 2025

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 DetailsAmount (INR)
Annual Tuition Fee₹1,70,000
Hostel and Mess ChargesVaries
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 CriteriaDetails
Minimum Marks Requirement60% aggregate in Diploma (Engg.) / B.Sc. / BCA or equivalent
Higher Marks (for direct admission)90% aggregate in the same qualifications
Relaxation Available5% for North-East states, Defence personnel, or wards of migrants
LPUNEST RequirementRequired 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.
  • 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 ComponentsDetails
Core Computer Science SubjectsData Structures, Algorithms, Operating Systems, DBMS
AI & ML ConceptsSupervised & Unsupervised Learning, Neural Networks, NLP, Computer Vision
Practical ApplicationsIntelligent Systems, Robotics, Autonomous Vehicles
Emerging TechnologiesDeep Learning, Big Data Analytics, Cloud Computing
Internship & Industry ExposureHands-on projects, research opportunities, industry collaborations
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