Bachelor of Science
Data Science (B.Sc DS)
Programme Overview
The Bachelor of Science in Data Science (B.Sc. Data Science) is a four-year undergraduate programme designed as per the provisions of NEP 2020 to develop skilled professionals capable of extracting meaningful insights from data and supporting intelligent decision-making. The programme integrates statistics, mathematics, programming, machine learning, artificial intelligence, data visualization, and business analytics to build strong analytical competencies. Students benefit from interdisciplinary learning, practical projects, internships, industry engagement, and research opportunities. The programme offers flexible pathways leading to a Bachelor’s Degree, Bachelor’s Degree with Honours, and Bachelor’s Degree with Honours and Research, preparing graduates for careers in analytics, artificial intelligence, business intelligence, and advanced research.🏛 Academic & Infrastructure Excellence
The curriculum combines statistical foundations, computational methods, machine learning, artificial intelligence, business analytics, and data engineering supported by modern computing infrastructure.
🤝 Industry-Relevant Learning
Students engage with real-world datasets, analytics projects, industry case studies, internships, and technology platforms widely used in the data science ecosystem.
👨🏫 Expert Faculty
Experienced faculty members adopt project-based learning, research-oriented assignments, case studies, and practical laboratory sessions to strengthen analytical and technical skills.
💼 Career Readiness
Students acquire hands-on expertise through data analytics projects, machine learning model development, internships, and industry-supported problem-solving activities.
🌍 Global Expert Engagement
Regular interactions with data scientists, AI researchers, industry leaders, and international experts expose students to emerging technologies and industry practices.
🚀 Holistic Development
The programme promotes innovation, teamwork, leadership, entrepreneurship, and ethical decision-making through various co-curricular and extracurricular activities.
🎯 Placement Support
Structured career development programmes, aptitude training, technical interview preparation, and placement assistance support students in achieving successful careers.
🖥️ State-of-the-Art Laboratories
Dedicated laboratories equipped with advanced analytics software, AI frameworks, cloud platforms, and high-performance computing facilities enable experiential learning and research.
- Candidates who have passed Higher Secondary Examination (10+2) in any stream from a recognized board are eligible for admission as per university norms.
- Admission Information
Programme
B.Sc. (Data Science)
Duration
3 Years
Intake
B.Sc.(Data Science) – 30 Seats
Annual Fees
Rs. 64,500
Mode of Admission
As per ACPC / University Norms
Degree Awarded
Bachelor of Science (B.Sc.)
Meet Our Distinguished Faculty
Our experienced faculty members bring together academic rigor, research expertise, and industry insights to prepare students for successful careers in the rapidly evolving world of technology. ✨
- Programme Curriculum
Semester 1
- Mathematical Programming
- Engineering Chemistry
- Programming for Problem Solving
- Communicative English
- Life Sciences
- Basic Electrical Engineering
- Programming for Problem Solving Lab
- Engineering Chemistry Lab
Program Educational Objectives (PEOs)
- PEO1: To provide students with strong foundations in mathematics, statistics, programming, data analytics, and machine learning for extracting meaningful insights from data.
- PEO2: To develop professionals capable of applying data-driven methodologies, analytical techniques, and computational tools to solve complex business and societal problems.
- PEO3: To prepare graduates for successful careers in data science, analytics, artificial intelligence, business intelligence, research, and higher education.
- PEO4: To cultivate ethical practices, effective communication, teamwork, leadership, and professional responsibility in data-driven decision-making environments.
- PEO5: To promote innovation, research orientation, entrepreneurship, and lifelong learning for adapting to emerging technologies and advancements in data science and artificial intelligence.
Program Outcomes (POs)
- PO1: Engineering Knowledge – Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO2: Problem Analysis – Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO3: Design/Development of Solutions – Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- PO4: Conduct Investigations of Complex 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, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
- PO6: The Engineer and Society – Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- PO7: Environment and Sustainability – Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- PO8: Ethics – Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- PO9: Individual and Team Work – Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO10: Communication – Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO11: Project Management and Finance – Demonstrate knowledge and understanding of the engineering 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.
- PO12: Life-Long Learning – Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
Pragya AI Center of Excellence (CoE)
Empowering Innovation Through Artificial Intelligence, Research, and Industry-Oriented Learning
The Pragya AI Center of Excellence is dedicated to advancing knowledge, research, and practical applications of AI technologies. Through hands-on training, industry partnerships, and innovative projects, we prepare students to become future-ready professionals in the rapidly evolving world of Artificial Intelligence.