BIET — Bapuji Institute of Engineering & Technology, Davanagere

About the department

The Department of Computer Science and Engineering (Data Science) was established in the year 2022 with an initial intake of 60 students, keeping in view the rapid growth and demand for skilled professionals in the field of Data Science. The department offers a comprehensive undergraduate program designed to build a strong foundation in core computer science concepts while imparting in-depth knowledge of emerging areas such as Artificial Intelligence, Machine Learning, Big Data Analytics, Cloud Computing, and Data Visualization. The department is driven by a team of highly qualified, dedicated, and experienced faculty members. They not only impart technical knowledge but also mentor students to develop analytical thinking, problem-solving abilities, and research aptitude. The faculty members are actively engaged in teaching, research, and professional development, ensuring that students are exposed to the latest advancements in Data Science and related domains. The faculty members are actively involved in research, publications, workshops, and FDPs, thereby enriching the teaching-learning process with contemporary knowledge and practical insights.

Department code

Programme level

Programme faculty count

Published laboratories

Programme sanctioned intake · 2026-27

4 years

Programme duration

2022

Established

VTU

Affiliating university

Eligibility & admission routes

Class 12 with Physics, Mathematics and one of Chemistry / Biology / Computer Science — minimum 45% (40% for reserved categories). Entrance via KCET / COMEDK.

Admission routes: KCET, COMEDK, Management Quota.

Vision & mission

Our vision

To provide a quality and holistic education in data science, data analytics, data visualization, industry collaborations and research for empowering individuals to derive knowledge, thereby transform the potentials in data for the betterment of society.

Mission

01Educate and prepare students with a strong foundation in data science, equipping them with the skills, knowledge, and ethical principles needed to excel in data-driven fields.
02Foster collaborations with industries to adopt modern data science and visualization tools which solves the real-world problems that have societal benefits.
03Cultivate a culture of life-long learning with intellectual curiosity in data science and nurturing individuals who are passionate about data-driven decision-making

Objectives

Programme Educational Objectives(PEO)

01Graduates will work in the area of applications of software development, Artificial Intelligence, Machine Learning, Data Analytics and Data Visualization.
02Graduate will exhibit professional ethics and moral value with capabilities of working as an individual and as a team member in the corporate world to contribute toward the need of the dynamic requirements of industry and society.
03Graduates will become responsible successful software professionals with leadership and managerial quality in the modern software industries based on their strong skills on theoretical and practical foundation.

Programme Specific Outcomes(PSO)

01Students will be able to develop sustainable and efficient algorithm solutions for the real time problems by applying their problems solving skills.
02Students will be able to develop a solution for the given problem in the area of Artificial Intelligence, Data Analytics and any other societal problems through conducive environment and infrastructure.

Head of department

Dr. Pradeep N

Professor and Head

Welcome to the Department of Computer Science and Engineering (Data Science), where we strive to empower students with the knowledge and skills required to excel in the data-driven world. Our department is committed to fostering innovation, critical thinking, and lifelong learning through quality education, research, and industry-oriented training.

We encourage our students to explore emerging technologies, engage in practical problem-solving, and develop solutions that create a positive societal impact. With the support of dedicated faculty and modern learning resources, we aim to nurture competent professionals, responsible citizens, and future leaders in the field of Data Science and Artificial Intelligence. I invite you to be a part of this exciting journey of learning, discovery, and innovation.