Bachelor of Science Data Science (B.Sc. (DS)) is an undergraduate-level program gateway to understanding the power of data in our increasingly digital world. The primary objective of this program is to equip students with the skills necessary to collect, analyze, and interpret complex data sets. This knowledge is critical in making informed decisions, predicting trends, and solving real-world problems across various industries. Students learn to leverage tools and techniques in statistics, computer science, and machine learning to transform raw data into actionable insights.

The primary purpose of Bachelor of Science Data Science is to Develop Analytical Skills, Enhance Technical Proficiency, and Prepare for Industry. The curriculum for B.SC Data Science typically includes a mix of foundational courses, electives, and practical projects. The program's blend of rigorous coursework, practical experience, and industry alignment makes it an excellent choice for those looking to advance their careers in data science and analytics.

Eligibility:

• The eligibility criteria for enrolling in a B.SC DS program is completion of higher secondary education (10+2) Science Stream or equivalent, with a focus on mathematics.

Vision

• To be Empower students with advanced IT skills and knowledge to lead technological innovations, providing a comprehensive and seamless education in IT from undergraduate to master's level to encourage future tech leaders and Preparing students with data analysis and machine learning expertise.

Mission

• To be a renowned department for educating the students with essential technicality and skills of Information Technology to resolve the challenges and issues in the real-world while emphasizing multi- disciplinary development leading to betterment of society.
• To offer an integrated and comprehensive IT education, developing skilled professionals capable of addressing complex technological challenges and leading future innovations.
• To provide a concrete academic base of Information Technology education so that students can develop an advanced career in IT.

Program Educational Objectives (PEOs)

• PEO1: Graduates will be adept at applying data science techniques to solve practical problems, driving innovation and efficiency across industries through the creative use of data.
• PEO2: Graduates will embrace continuous learning and adaptability, staying current with evolving data science methodologies, tools, and technologies to remain competitive and effective in their careers.
• PEO3: Graduates will develop the professional skills and leadership qualities necessary to lead data-driven projects, manage teams, and contribute to organizational goals in data-centric roles.

Program Outcomes (POs)

• PO1 Computational Knowledge: Apply knowledge of computing fundamentals, computing specialisation, mathematics, and domain knowledge appropriate for the computing specialisation to the abstraction and conceptualisation of computing models from defined problems and requirements.
• PO2 Problem Analysis: Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.
• PO3 Design /Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal, and environmental considerations.
• PO4 Conduct Investigations of Complex Computing Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
• PO5 Modern Tool Usage: Create, select, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.
• PO6 Societal and Environmental Concern: Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.
• PO7 Professional Ethics: Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.
• PO8 Individual and Team Work: Function effectively as an individual and as a member or leader in diverse teams and in multidisciplinary environments.
• PO9 Communication Efficacy: Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.
• PO10 Project management and finance: Demonstrate knowledge and understanding of the computing 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.
• PO11 Innovation and Entrepreneurship: Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.
• PO12 Life-long Learning: Recognise the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Program Specific Outcomes (PSOs)

• PSO1: Graduates will be adept at designing experiments and conducting hypothesis testing to draw valid conclusions from data, supporting evidence-based decision-making.
• PSO2: Graduates will have experience working with real-world data sets and projects, providing them with practical skills and knowledge applicable to industry challenges.