Lovely Professional University

B.Tech. CSE - Data Science with ML at Lovely Professional University

The B.Tech. in Computer Science and Engineering (CSE) with a specialization in Data Science and Machine Learning (ML) at Lovely Professional University is a comprehensive undergraduate program that prepares students to excel in the evolving field of technology. This four-year course is designed to build a solid foundation in computer science principles while focusing on advanced topics in data science and machine learning. The program combines theoretical knowledge with practical applications, ensuring that students are well-equipped to meet the challenges of the tech-driven world.

B.Tech. CSE Program Details

B.Tech. CSE Course Fee Structure

The total fee for the B.Tech. CSE - Data Science with ML program is structured annually, making it easier for students and their families to plan their finances. Here’s the breakdown:

Eligibility Criteria for B.Tech. CSE at LPU

To be eligible for admission into the B.Tech. CSE - Data Science with ML program at Lovely Professional University, candidates must meet the following requirements:

1. Completed 10+2 or an equivalent examination from a recognized board.
2. Secured a minimum of 45% marks in aggregate in qualifying examinations.
3. Background in Mathematics, Physics, and Chemistry or Computer Science is recommended.

B.Tech. CSE Course Outline

The B.Tech. CSE - Data Science with ML program includes a well-balanced mix of core and elective subjects. The curriculum is updated regularly to incorporate the latest advancements in technology and industry requirements. Below is an overview of the core topics covered:

The B.Tech. CSE - Data Science with ML program at Lovely Professional University is an excellent choice for students aspiring to build a successful career in the rapidly growing field of data science and machine learning. With its advanced curriculum, expert faculty, and robust career support, the program ensures students are well-prepared to tackle industry challenges and seize emerging opportunities.