

M.Tech. (Machine Learning and Artificial Intelligence) at Lovely Professional University
The M.Tech. program in Machine Learning and Artificial Intelligence is a two-year postgraduate course aimed at equipping students with deep insights into AI technologies, machine learning algorithms, and the practical application of these fields. The curriculum is designed to cover the core concepts of machine learning, data science, AI, deep learning, natural language processing (NLP), and computer vision. The course also focuses on the latest trends and innovations in AI, preparing students to meet the growing demand for AI professionals globally.
M.Tech. (AIML) Duration
The M.Tech. in Machine Learning and Artificial Intelligence is afull-time, two-year program. The program is divided into four semesters, with each semester focusing on different aspects of machine learning, AI, and their applications. The duration of the program ensures that students have sufficient time to explore the subject in-depth, gain practical knowledge, and work on projects that align with industry requirements.
M.Tech. (AIML) Course Fees
The fee structure for the M.Tech. (Machine Learning and Artificial Intelligence) program at Lovely Professional University is as follows:
| Fee Category | Amount (Per Year) |
|---|---|
| Tuition Fee | ₹100,000 |
| Total Annual Fee | ₹100,000 |
The fee mentioned above is for the academic year and is subject to change as per the university's guidelines. Additional costs for books, materials, and other resources may also be applicable.
Eligibility Criteria for M.Tech. (AIML) Program at LPU
Candidates applying for the M.Tech. (Machine Learning and Artificial Intelligence) program at Lovely Professional University must fulfill the following eligibility requirements:
| Criteria | Details |
|---|---|
| Educational Qualification | B.Tech. or Equivalent in: • Computer Science and Engineering • Information Technology • Electronics and Communication Engineering • Electrical Engineering • Electrical and Electronics Engineering • Electronics Engineering |
| Minimum Marks Required | 55% aggregate marks in qualifying degree. OR 80% aggregate marks (Exempt from entrance exam but must pass the qualifying exam). |
| Entrance Exams (Any One Required) | LPUNEST (LPU National Entrance and Scholarship Test) GATE (Graduate Aptitude Test in Engineering) |
| Relaxation (5%) | Applicable for candidates from: • North-East states • Sikkim • Defence Personnel & Dependents • Wards of Kashmiri Migrants |
| LPUNEST Exam Mode | 1. Online (Remotely Proctored) – Recommended by LPU. 2. Test Centre-Based – Available at designated centers across India. |
| LPUNEST Exam Subjects | The exam evaluates candidates in: • Engineering Mathematics • General Aptitude • Domain-Specific Subjects |
M.Tech. (AIML) Course Curriculum
The curriculum of the M.Tech. (Machine Learning and Artificial Intelligence) program at LPU is structured to provide a balanced approach between theory and practical application. Below is an overview of the key subjects covered across the four semesters:
| Year | Semester | Subjects |
|---|---|---|
| Year 1 | Semester I | Advanced Algorithms, Machine Learning, AI Fundamentals, Python Programming, Data Structures, Research Methodology |
| Semester II | Deep Learning, NLP, Computer Vision, Data Science, Cloud & Big Data, AI Ethics | |
| Year 2 | Semester III | Reinforcement Learning, Data Mining, AI in Robotics, Advanced AI, Big Data Analytics, Internship/Project |
| Semester IV | Thesis/Capstone, AI Application Development, Emerging AI Trends, Industry-Specific AI, ML at Scale |
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