B.Tech Computer Science and Engineering

At Lovely Professional University (LPU), the B.Tech in Computer Science Engineering (CSE) with specialisation in Machine Learning is designed to provide students with a strong foundation in both theoretical and practical aspects of computing and intelligent systems. While the primary focus of the specialisation is on machine learning, the curriculum is structured to include essential concepts of Artificial Intelligence (AI) as well. Machine learning is a key subset of AI, and understanding AI fundamentals is crucial for effectively applying machine learning techniques in real-world scenarios. The programme covers core computer Science subjects such as data structures, algorithms, databases, programming languages, and software engineering, along with specialised courses in machine learning algorithms, data mining, neural networks, natural language processing, and predictive modeling. AI-related topics, such as knowledge representation, problem-solving methods, reasoning, and intelligent agent design, are also integrated into the coursework to provide a broader perspective on intelligent systems. This approach ensures that students gain both machine learning skills and an understanding of AI principles, enabling them to develop AI-driven applications, smart systems, and automation solutions. LPU emphasizes practical learning through hands-on projects, coding labs, workshops, hackathons, and internships with industry partners. Students get exposure to AI and machine learning tools, frameworks, and real-world datasets, enhancing their ability to implement intelligent solutions in areas like robotics, data analytics, autonomous systems, and software development. The university also encourages research and innovation in AI and machine learning, allowing students to explore advanced topics and emerging technologies. Overall, the B.Tech CSE with Machine Learning specialisation at LPU not only teaches machine learning in depth but also incorporates AI concepts, preparing graduates for careers in cutting-edge technology fields and higher studies in AI, ML, and data science.