Overview

The BSc Computer Science & Statistics (Dual Major) programme integrates two highly complementary and intellectually powerful disciplines—Computer Science and Statistics. Computer Science forms the backbone of modern technological advancements, influencing fields such as communication, healthcare, finance, automation, cybersecurity, business intelligence, and scientific research. The programme equips students with strong computational foundations, including programming, data structures, algorithms, database systems, AI/ML fundamentals, and software development.

Statistics, on the other hand, focuses on data collection, analysis, interpretation, and decision-making. It plays a critical role across industries such as public health, finance, research, policy-making, market analytics, data science, quality management, and national statistical systems. Students learn distribution theory, sampling, statistical inference, index numbers, data analysis, and statistical quality control with modern tools such as Excel and R.

Together, Computer Science and Statistics empower students to manage, process, and interpret data with computational efficiency—preparing them for data-driven careers and interdisciplinary roles in emerging technology domains. The curriculum encourages analytical thinking, problem-solving, and technical excellence through theory, practical labs, fieldwork, and project-based learning.

Eligibility

Candidates who have completed Higher Secondary (10+2 / PUC) or Equivalent, with an aggregate of 40% or equivalent CGPA, and have studied Mathematics or Statistics or Computer Science as one of the subjects are eligible.

Why Choose this Programme

• Interdisciplinary Advantage: Strong dual foundation in computing and statistical analysis—key skills for today’s data-driven world.
• Industry-Aligned Curriculum: Designed with relevance to data science, analytics, software development, and research sectors.
• Balanced Theory and Practice: Reinforced through programming labs, statistical labs, projects, and field-based learning.
• Skill Development & Certifications: Exposure to industry tools like Excel, R, Python, SQL, and data visualization platforms.
• Career Versatility: Opens opportunities in IT, analytics, research, public sector, finance, consulting, and higher studies.
• Holistic Learning Ecosystem: Workshops, seminars, internships, project work, and academic enrichment activities.

What You Will Learn

• Core computer science concepts: Programming, data structures, algorithms, databases, OS, computer networks, AI/ML basics, and software engineering.
• Fundamental and advanced concepts in Statistics: Probability, distributions, index numbers, inference, sampling theory, SQC, and applied statistics.
• Data analysis using Excel, R, and introductory Python for statistical computing.
• Applying statistical and computational thinking to solve real-world problems.
• Analytical reasoning, logical thinking, problem-solving, and data-driven decision making.

Programme Matrix