PSO
Program Specific Outcomes
- PSO 1: Apply the knowledge of mathematical, analytical and statistical concepts to solve real world complex engineering and business problems
- PSO 2: Achieve proficiency in system design and development using both hardware and software based systems, assess hazards and find innovative solutions.
- PSO 3: • Harness the multidisciplinary approach of Data Science to build intelligent applications across various domains, enabling data-driven decision-making.
Vision
To create an immersive learning environment in Computing and Data Science, focusing on industry-specific skills, for students to succeed as globally-aware, data-driven analytical engineers who contribute substantially to society.
Mission
- To imbibe deep analytical thinking and data driven problem solving skills in students.
- To provide an excellent learning environment through the contemporary teaching learning practices to excel in data-driven world.
- To create an environment that inspires technological innovation and promote multidisciplinary Research and Development.
- To collaborate with industry partners to nurture young minds to ensure career preparedness.
- To groom professionals with exemplary values and ethics to meet the societal needs.
From the HOD's Desk:
The Department of Computer Science (Data Science) creates experts in innovative methods for solving data-intensive science problems. Our goal is to ensure that our engineering graduates are well prepared to become subject expert in a particular field of data science (machine learning, predictive modelling, etc). Our objective is to empower our students to attain excellence in data analytics through focused multidisciplinary research and training. We facilitate Industry relevant syllabus with latest tools & techniques used in Data Science to our students. Our aim is to provide a composite skillset of statistics, programming and communication skills and make our students industry ready.
Dr. Harish H Kenchannavar
Professor & HOD
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Phone: 9292059084