Department of Artificial Intelligence & Data Science

Department of Artificial Intelligence and Data Science is established in 2024, offers an undergraduate B.E. program affiliated with Visvesvaraya Technological University, Belagavi with an intake of 60 students.

The Artificial Intelligence (AI) and Data Science Engineering course equips individuals with the skills and knowledge necessary to build and implement intelligent systems and leverage data for insights, driving innovation across various industries, including web development.

Students develop a strong foundation in key areas like Data Science, Machine Learning, Deep Learning, and Artificial Intelligence

A specialized branch focusing on creating and implementing AI and Data Science based software solutions to address real-world business problems. This includes applications in areas such as predictive analytics, data visualization, and big data analysis.

Emphasis is placed on practical experience through project-based learning and working on real-world datasets and AI-driven applications, allowing students to build impressive project portfolios.

Additionally, the department offers value-added courses through its Center of Excellence to further enhance students’ technical and soft skills.

Career opportunities:

Graduates of this program are well-prepared for roles such as:

AI Engineers
Data Scientists
Machine Learning Engineers
Business Intelligence Developers
Big Data Engineers and Architects

Dr. Champakamala S

Professor & Head

“It is a privilege to lead a team of committed, talented, and experienced faculty members in the Department of Artificial Intelligence and Data Science. AI and DS stand at the forefront of technological advancement, playing a pivotal role in transforming industries and society alike.

Our undergraduate program is thoughtfully designed to equip students with the skills to build intelligent systems, software, and applications—powered by cutting-edge technologies such as Machine Learning, Deep Learning, Data Analytics, and Visualization.

We are dedicated to producing highly skilled professionals who can thrive in this dynamic domain. The department offers state-of-the-art laboratory facilities to provide hands-on experience and fosters strong collaborations with industry, research institutions, and the broader community.”

Dr. Champakamala S
Professor

Mrs. Shivaranjani S S
Assistant Professor

Ms. Aishwarya N M
Assistant Professor

Ms. Reshma Pramod
Programmer

Academic Year 2025-26, ODD Semester

3rd Semester

Sl	Subjects	Notes	PPT
1	Digital Design & Computer Organization	Content	Content
2	Operting Systems
3	Data Structures & Applications
4	Object Oriented Programming with Java

ODD Semester , AY - 2025-26

Class Teachers

Sl	Semester	Class Teacher Name	Contact Number
1	1st	Prof. Aishwarya N M	9901919915
2	3rd	Prof. Shivaranjani S S	9964447092

Department Vision

“To impart value-based education and nurture idealistic, ethical engineers equipped to meet the evolving trends and technological advancements in the field of Artificial Intelligence and Data Science.”

Department Mission

To engage students in developing core competencies to solve real-world problems using Artificial Intelligence.
To enlighten students into becoming technically proficient engineers through innovation and application in Data Science.
To involve students in industry collaborations, career development, and the cultivation of leadership skills.
To mold students into ethical professionals who uphold moral values for the betterment of individuals and society.

Program Outcomes

Engineering knowledge
Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
Problem Analysis
Identify, formulate, review research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/Development of Solution
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations
Conduct Investigations of Complex Problems
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of information to provide valid conclusions.
Morden Tool Usage
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
The Engineer and Society
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.
Environment and Sustainability
Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development
Ethics
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and Team Work
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communicatin
Communication 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.
Project management and finance
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.
Life-long Learning
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.

Program Specific Outcomes

Demonstrate proficiency in leveraging AI, ML, and Data Science tools and techniques to create scalable, data-driven solutions for contemporary industry problems in healthcare, finance, cybersecurity, and intelligent systems
Design, develop, and deploy intelligent systems by effectively utilizing modern tools, frameworks, and technologies, including deep learning platforms, cloud computing services, big data ecosystems, and end-to-end AI model pipelines
Graduates will demonstrate an understanding of the ethical, legal, and societal implications of AI systems, ensuring fairness, transparency, data privacy, and the responsible use of data-driven technologies.