B.Tech in Computer Science and Engineering (Artificial Intelligence & Data Science)
Become an industry-ready professional equipped with cutting-edge AI and Data Science skills
Become an industry-ready professional equipped with cutting-edge AI and Data Science skills
Our mission is :
Our program emphasizes hands-on experience through lab sessions, projects, and internships to give students real-world problem-solving abilities.
Learn from industry experts and academic scholars who are passionate about nurturing the next generation of computer science professionals.
Graduates from our program are highly sought after in various industries including technology, healthcare, finance, and automotive sectors.
The B.Tech in Computer Science and Engineering (Artificial Intelligence & Data Science) at Pimpri Chinchwad University (PCU) provides students with a solid foundation in computer science while imparting specialized knowledge in AI and data science.
This program integrates core computer science engineering principles with advanced courses in artificial intelligence and data science, preparing graduates to tackle complex problems using cutting-edge technologies.
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Demonstrate knowledge and understanding of the engineering and management principles and apply these to one's own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Dr. Sagar Pande, HoD and Assistant Professor
Welcome to the Department of Computer Science and Engineering (Artificial Intelligence & Data Science) at our prestigious institution. Our department is committed to providing world-class education and fostering innovation in the fields of computer science and engineering. We take pride in our dedicated faculty members who are not only experts in their respective domains but are also passionate about teaching and mentoring the next generation of technologists.
Our curriculum is designed to equip students with both theoretical knowledge and practical skills needed to excel in the rapidly evolving technology landscape. We emphasize hands-on learning through projects, internships, and industry collaborations to ensure our graduates are well-prepared for successful careers.
Access latest research publications in AI and Data Science
Course notes, presentations, and reference materials
Templates and guidelines for academic projects
AI-based learning assistant for programming
Disease prediction using machine learning
NLP-based customer support assistant
"The AI specialization program provided me with both theoretical knowledge and practical skills. The faculty members are supportive and the projects helped me secure an internship at a leading tech company."
"The Data Science curriculum is well-designed with a perfect balance of theory and hands-on practice. The industry projects gave me confidence to solve real-world data problems."
"The focus on ethical AI practices sets this program apart. We not only learn how to build AI systems but also understand their societal impact. The faculty mentorship is exceptional."
Placement Assistance
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Expert Faculty