B.Sc. Data Science

Programme Overview

The Bachelor of Science in Data Science programme is a four-year honours degree designed to build strong analytical, computational, and problem-solving abilities for the data-driven world. The curriculum integrates mathematics, statistics, computer science, and machine learning to enable students to collect, process, analyse, and interpret complex data for informed decision-making. Learners gain practical experience in data visualization, predictive modelling, big data analytics, and artificial intelligence applications through hands-on labs, projects, and internships. Academic alliances with Celonis, Qlik, and UiPath provide students with exposure to real-world data intelligence, automation, and process optimization tools, enhancing their technical proficiency and industry readiness. Graduates are well-prepared for diverse roles such as data analyst, business intelligence developer, data engineer, machine learning engineer, and data scientist across sectors, including IT, finance, healthcare, and research ample scope for higher studies and professional certifications.

The B.Sc. Programme is a four-year degree programme, wherein a student, after successful completion, will be awarded an Honours degree. However, a student has the option to exit the programme after successful completion of the first three years. In such a case, the student will be awarded a Bachelor’s degree.

Eligibility Criteria

Any candidate who has passed PUC/10+2/ equivalent in Computer Science and Mathematics, securing a minimum of 40% of marks, is eligible.

Programme Outcomes (PO)

• PO1: apply critical inquiry, innovative thinking and evidence-based research to solve complex problems.
• PO2: formulate informed decisions based on factual evidence and reasoned judgement.
• PO3: demonstrate professional competencies, ethical conduct, emotional intelligence and fluency in emerging technologies in a dynamic global environment.
• PO4: Exhibit self-discipline, autonomy, responsibility and accountability for personal well-being and a commitment to lifelong learning.
• PO5: Lead and communicate with multi-cultural teams, demonstrating empathy and mutual respect in the workplace and public sphere.
• PO6: Involve in community development for nation-building by advocating sustainable practices, embodying Indian ethos and upholding universal human values.

Programme Specific Outcomes (PSO)

• PSO1: demonstrate knowledge of programming, databases, data analytics, visualisation, storytelling, quantitative methods and techniques.
• PSO2: Apply data science pipelines and tools for descriptive, diagnostic, predictive and prescriptive analytics.
• PSO3: Develop dashboards to identify patterns and derive insights using data visualization tools.
• PSO4: Formulate data-driven solutions based on systematic research.

Programme Matrix - B.Sc Data Science

Key Courses

Semester I

• C Programming
• Relational Database Management System
• Matrix Theory and Calculus
• Data Structures

Semester II

• Data Structures Practical
• Basic Statistical Analysis
• Operating System and Networks
• Rising Star: Business

Semester III

• Object-Oriented Programming with Java
• Data Warehousing and Data Mining
• Mathematical Concepts of Data Science
• NPTEL Skill Enhancement Course

Semester IV

• Probability & Inferential Statistics
• Python Programming
• Artificial Intelligence for Data Science
• Rising Star: Technical

Semester V

• Process Mining and Analytics
• Machine Learning
• Statistical Analysis using SPSS
• Research Methodology

Semester VI

• Exploratory Data Analysis
• Process Optimization
• Software Engineering
• Rising Star: Automation
• Celonis Capstone Project