About the Department
The Department of CSE — Data Science at ATME College of Engineering offers a four-year BE programme affiliated to VTU, Belagavi. The department combines a strong theoretical foundation with extensive lab work, projects and industry interaction to prepare graduates who are ready for the workplace and for higher studies.
Dr. Anitha D B
Data Science is a multidisciplinary field that combines computer science, statistics and domain knowledge to extract meaningful insights from data. At ATMECE, the CSE — Data Science programme is designed to equip students with strong fundamentals in programming, mathematics, machine learning, big data, data visualization and analytics, alongside hands-on exposure to modern tools and real-world datasets. Our dedicated faculty mentor students through capstone projects, internships, hackathons and research collaborations, encouraging them to build data-driven products, publish technical work and pursue higher studies. We are committed to preparing graduates who can responsibly use data to solve societal and industrial problems and excel in the rapidly evolving data-driven economy.
Vision
To be a centre of excellence in cse — data science producing competent engineers committed to ethics, innovation and lifelong learning.
Mission
- Impart quality education through outcome-based teaching and continuous improvement.
- Foster a research culture among students and faculty.
- Build strong industry collaborations and provide platforms for practical learning.
- Develop professionals with ethical, social and environmental responsibility.
Programme Educational Objectives (PEOs)
- Graduates will excel in professional careers in industry, academia, government and entrepreneurship.
- Graduates will pursue advanced studies and contribute to research and innovation.
- Graduates will demonstrate leadership, teamwork and lifelong learning.
- Graduates will uphold professional ethics and contribute positively to society.
Programme Outcomes (POs)
- Engineering knowledge
- Problem analysis
- Design / development of solutions
- Conduct investigations of complex problems
- Modern tool usage
- The engineer and society
- Environment and sustainability
- Ethics
- Individual and team work
- Communication
- Project management and finance
- Life-long learning
Programme Specific Outcomes (PSOs)
- Apply principles of cse — data science to analyse, design and develop solutions for real-world problems.
- Use modern tools and software relevant to DS for problem solving and prototyping.
- Engage in lifelong learning and contribute to interdisciplinary domains.