Vision

To be a leading centre of excellence in Data Science education and research, producing globally competent professionals who drive innovation for societal and industrial advancement.

Mission

• To deliver a robust curriculum combining theory and practical applications in Data Science.
• To foster innovation, critical thinking, and interdisciplinary research.
• To collaborate with industry and academia for real-world exposure and skill development.
• To nurture ethical, responsible, and lifelong learners in the field of data science.

Program Outcomes

• PO1 (Foundation Knowledge): Apply knowledge of mathematics, programming logic and coding fundamentals for solution architecture and problem solving.
• PO2 (Problem Analysis): Identify, review, formulate and analyse problems for primarily focussing on customer requirements using critical thinking frameworks.
• PO3 (Development of Solutions): Design, develop and investigate problems with an innovative approach for solutions incorporating ESG/SDG goals.
• PO4 (Modern Tool Usage): Select, adapt and apply modern computational tools such as development of algorithms with an understanding of the limitations including human biases.
• PO5 (Individual and Teamwork): Function and communicate effectively as an individual or a team leader in diverse and multidisciplinary groups. Use methodologies such as agile.
• PO6 (Project Management and Finance): Use the principles of project management such as scheduling, work breakdown structure and be conversant with the principles of Finance for profitable project management.
• PO7 (Ethics): Commit to professional ethics in managing software projects with financial aspects. Learn to use new technologies for cyber security and insulate customers from malware.
• PO8 (Life-long learning): Change management skills and the ability to learn, keep up with contemporary technologies and ways of working.