Bapuji Educational Association (Regd.)

Bapuji Institute of Engineering and Technology

Post Box No. :325, Davanagere -577 004, Kamataka, India.
An Autonomous Institute Affiliated to Visvesvaraya Technological University, Belagavi, Karnataka.

Approved by AlCTE, New Delhi | Accredited by NAAC with 'A' grade and NBA (UG Programmes)
Recognized by UGC,New Delhi under 2(F) and 12(B)

ಬಾಪೂಜಿ ಇಂಜಿನಿಯರಿಂಗ್ ಮತ್ತು ತಾಂತ್ರಿಕ ಮಹಾವಿದ್ಯಾಲಯ, ದಾವಣಗೆರೆ-577004

Department of Data Science

Upcoming Events

Dec 20

Forum Inauguaration

10:00AM 05:00PM

Data Science Department

Nov 23

Department Forum Logo Competition

10:00AM 05:00PM

Data Science Department

All events

Department of data science vision


To be a centre-of-excellence by imbibing state-of-the-art technology in the field of Computer Science and Engineering, thereby enabling students to excel professionally and be ethical.


  1. Adapting best teaching and learning techniques that cultivates Questioning and Reasoning culture among the students.

  2. Creating collaborative learning environment that ignites the critical thinking in students and leading to the innovation.

  3. Establishing Industry Institute relationship to bridge the skill gap and make them industry ready and relevant.

  4. Mentoring students to be socially responsible by inculcating ethical and moral values.

Program Educational Objectives (PEOs)

  1. To apply skills acquired in the discipline of Computer Science and Engineering for solving societal and industrial problems with apt technology intervention.

  2. To continue the career in industry/academia or to pursue higher studies and research.

  3. To become successful entrepreneurs, innovators to design and develop software products and services that meet the societal, technical and business challenges.

  4. To work in the diversified environment by acquiring leadership qualities with effective communication skills accompanied by professional and ethical values.

Program Specific Outcomes (PSOs)

  1. Analyze and develop solutions for problems that are complex in nature by applying the knowledge acquired from the core subjects of this program.

  2. Ability to develop Secure, Scalable, Resilient and distributed applications for industry and societal requirements.

  3. Ability to learn and apply the concepts and construct of emerging technologies like Artificial Intelligence, Machine learning, Deep learning, Big Data Analytics, IoT, Cloud Computing, etc for any real time problems.
Vinay M T

Assistant Professor and Head

Faculty Members

Vinay M T

Assistant Professor

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Mrs. Gowramma B H

Assistant Professor

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Assistant Professor

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Bharath H C

Assistant Professor

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Usha C

Assistant Professor

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Technical Staff

Pramod H


Supporting Staff

Faculty Research details


Ph.D. Guiding & Guided details




Laboratory Facilities

S.No. Name of Lab Qty Configuration/Specification Software
1. Data Structures and Algorithms 30 Dell Desktop Intel core i7 processor, 16 GB DDR4-2933 SDRAM 1TB HDD Windows 10, Python, Ubuntu, Java, Dev C, NetBeans and Turbo C++.
2. Data Analytics Lab 30 HP Desktop Intel core i7 processor @2700, 16 GB DDR4-2933 SDRAM 1TB HDD. Windows 10, Python, Ubuntu, Java, Dev C++ and Turbo C++.

Major Equipments


Department Advisory Board (DAB) Members

S.No. Member Designation

Program Assessment Committee (PAC) Members

S.No. Member Designation

SAR Report

Students placed in various IT Companies

Sl.No. Company

Staff Achievements

  • Dr. Pradeep N, Prof. Gowramma and Prof. Bharath H C have completed the course "Applied Generative AI" and got Certification in Infosys Springboard

  • Dr. Pradeep N, Prof. Gowramma B H and Prof. Bharath H C have completed the course "Principles of Generative AI" and got Certification in Infosys Springboard

  • Dr. Pradeep N have completed "Patent Drafting for Beginners" NPTEL course and got certification by passing NPTEL online exam

  • Dr. Pradeep N, Prof. Gowramma and Prof. Bharath H C have completed the course "Citizen Data Science using Python" and got Certification in Infosys Springboard

Student Achievements

Forum Activities


Datin, the Data Science department forum of our engineering college, is a dynamic platform designed to cultivate collaboration and innovation among students, faculty, and professionals passionate about data science. With a mission to facilitate knowledge exchange, Datin provides a space for sharing research findings, participating in guest lectures, and engaging in hands-on workshops led by industry experts. The forum encourages members to showcase their data science projects, fostering a culture of creativity and practical application of skills. Networking opportunities, hackathons, and competitions further enhance the educational experience, while a comprehensive resource repository ensures easy access to valuable materials for learning and research. Open to all with an interest in data science, Datin serves as a vibrant community within our college, promoting growth and development in this dynamic field.

The following events are conducted regularly by UniCS:

Sl.No. Event Event Descrption
1. Technical Talk on “Data Science: Impact on Administration, Decision Maker, Academician and Research Scholar” by Dr. Hareesha K S, Director, International Centre for Applied Sciences, MIT Campus, MAHE The presentation will commence by providing a comprehensive overview of Data Science, highlighting its fundamental principles, methodologies, and applications. We will delve into real-world examples showcasing how Data Science has revolutionized industries by leveraging insights from large and complex datasets.For administrators, the talk will focus on how Data Science facilitates informed decision-making, resource optimization, and strategic planning. The discussion will shed light on the role of data-driven strategies in enhancing organizational efficiency and achieving long-term goals.
2. Technical Talk on “Data Science: Scope, Demand and Career Opportunities” by Ram Mohan, Principal Data Scientist, Automation Anywhere. The presentation will commence with an overview of the expansive scope of Data Science, encompassing its fundamental principles, methodologies, and diverse applications across various domains. Participants will gain insights into the interdisciplinary nature of Data Science and its ability to extract meaningful insights from vast and complex datasets. The discussion will then pivot to the soaring demand for skilled Data Science professionals in the current job market. Attendees will be presented with compelling statistics and case studies, illustrating how businesses and organizations are increasingly relying on data-driven decision-making, thereby creating a substantial demand for proficient Data Scientists
3. Forum Logo Design Competition Department forum logo, Name and Tagline competition was conducted on 29th November for Data Science students and among all the designs submitted by groups, one is selected as best and awarded for that group.

Department Activities

The following department activities were conducted: