About the Programme
The B.Sc. in Data Science is an undergraduate programme designed to equip students with the skills and knowledge necessary to extract meaningful insights from data. It blends core subjects such as mathematics, statistics, and computer science with specialized courses in data analysis, machine learning, programming, and data visualization. Students learn to handle large datasets, build predictive models, and apply analytical techniques to real-world problems across various domains like finance, healthcare, and technology. The programme emphasizes both theoretical foundations and practical applications, often including projects, internships, and exposure to industry-standard tools and technologies to prepare graduates for careers in data-driven roles or for further studies in related fields.
Programme Educational Objectives (PEO’s)
- PEO1: Prepare professionals conversant with current and advanced technological tools to carry out Investigation, analysis and synthesis by identifying various compute-oriented solutions.
- PEO2: To develop positive attitude and skills which enable them to become a multi facet personality.
- PEO3: To prepare students in such a way so that they perform excellently in national lavel entrance examinations conducted by various well-known institution like IIT’s/ central Universities/other academic institutes etc. to pursue their PG/MS/Dual PG and Ph.D. programs.
- PEO4: To make them aware of effective machine learning and Artificial Intelligence based data analytics and inference required for Industrial Application.
- PEO5: To inculcate passion for lifelong learning by introducing principles of group dynamics, public policies, environmental and societal context.
Program Outcomes (PO’s)
- PO1. Complex Problem Solving: Solve different kinds of problems in familiar and non-familiar contexts and apply the learning to real-life situations.
- PO2. Critical Thinking: Analyze and synthesize data from a variety of sources and draw valid conclusions and support them with evidence and examples.
- PO3. Creativity: Demonstrate the ability to think ‘out of the box’ and generate solutions to complex problems in unfamiliar contexts by applying concepts of multidisciplinary and interdisciplinary.
- PO4. Analytical reasoning/thinking: Evaluate the reliability and relevance of evidence.
- PO5. Research-related skills: Demonstrate the ability to acquire the understanding of basic research ethics and skills in practicing/doing ethics in the field/ in personal research work, regardless of the funding authority or field of study.
- PO6. Communication Skills: Demonstrate the skills that enable them to express thoughts and ideas effectively in writing and orally and communicate with others using appropriate media.
- PO7. Coordinating/collaborating with others: Demonstrate the ability to work effectively and respectfully with diverse teams using management skills to guide people to the right destination.
- PO8. Digital and technological skills: Demonstrate the capability to access, evaluate, and use a variety of relevant information sources, and use appropriate software for analysis of data.
- PO9. Value Inculcation: Instill integrity and identify ethical issues related to work, and follow ethical practices with or understand the perspective, experiences, or points of view of another individual or group, and to identify and understand other people’s emotions.
- PO10. Sustainability Growth: Demonstrate the capability to lead a diverse team or individual to accomplish and participate in community-engaged services/ activities for promoting the well-being of society to mitigating the effects of environmental degradation, climate change, and pollution.
- PO11. Multidisciplinary Life-long learning: Comprehensive knowledge and coherent understanding of the chosen disciplinary/interdisciplinary areas of study in a broad multidisciplinary context by inculcating a healthy attitude to be a lifelong learner.