Computer Science & Engineering (Data Science)

Document

Dr. PUSHPA D

HOD

Department of Computer Science & Engineering (Data Science)

Vission and Mision

Vision

To be recognized as a leading data science program that excels in education, groundbreaking research, and a strong entrepreneurial spirit to address real world challenges.

Mission

To equip students with a structured and systematic education in the field of Data Science, fostering comprehensive knowledge and practical skills through a dedicated teaching and learning process, guided by experienced mentors and built through professional exposure.
To advance innovative research in Computer science and Engineering (data science), focusing on solving complex problems across various disciplines such as science, engineering, and management.
To foster entrepreneurial and ethical practices through strong institute-industry collaborations and active alumni engagement.

Rank Holder and Placements

Department Intake

Academic Year	Sanctioned Intake		Admitted Students
	Regular	Lateral	Regular	Lateral
2023-2024	60	6	61	5
2024-2025	60	6	58	5

ABOUT THE DEPARTMENT

The Department of Computer Science and Engineering (Data Science) at Maharaja Institute of Technology, Mysore, was established in 2022 with an intake of 60 students. Led by Dr. PUSHPA D and experienced academic and industry professional, the department is dedicated to providing high-quality education and fostering research and innovation. Our well-qualified faculty members actively organize conferences, workshops, and seminars to keep students updated with the latest advancements in data science. The department is equipped with state- of-the-art laboratories that support research and hands-on learning, meeting the standards set by AICTE and VTU Belagavi. We also regularly invite experts from academia and industry for guest lectures, ensuring our students receive a comprehensive and industry-relevant education.

PEO1: Capable of building a robust foundation in the fields of computer science and data science domains.

PEO2: Be able to actively engage in cutting-edge research, apply data science methodologies to solve real-world problems, and demonstrate a commitment to continuous learning and professional growth.

PEO3: Graduates will lead ethically, collaborate effectively, and drive innovation in multidisciplinary teams, contributing to societal and technological progress.

PSO1: Apply solid foundation in computer science and data science principles, enabling the design, development, and implementation of data-driven solutions for complex engineering challenges.

PSO2: Analyse ,Design, implement, and apply data-centric techniques, including machine learning, data mining, and statistical analysis, to solve real-world problems across various domains, while maintaining professional and ethical standards in communication and conduct.