B.Sc. Computer Science, Statistics - Kristu Jayanti University

Department of Physical Sciences / B.Sc. Computer Science, Statistics

About the Programme

The B.Sc. Computer Science & Statistics (Dual Major) programme integrates two highly complementary and intellectually powerful disciplines. Computer Science forms the backbone of modern technological advancements across 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 focuses on data collection, analysis, interpretation and decision-making across 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 B.Sc. is a three-year degree programme. However, as per the provisions of the new National Education Policy (NEP 2020), a student may continue into the fourth year and earn a B.Sc. Honours degree.

Computing + Statistics

Dual foundation in computational thinking and statistical analysis — key skills for today’s data-driven world.

Theory + Practice

Balanced through programming labs, statistical labs, projects, fieldwork and tools such as Excel, R, Python and SQL.

NEP-Aligned Pathway

Three-year B.Sc. degree with the option to continue into the fourth year and earn a B.Sc. Honours degree under NEP 2020.

B.Sc. Computer Science, Statistics students
ACADEMIC PATHWAYS

Future Carriers

Graduates pursue opportunities in IT, analytics, research, public sector, finance, consulting and higher studies.

Career Roles

Data Analyst / Data Scientist
Software Developer / Engineer
Business / Market Analyst
Statistical Analyst
Machine Learning Associate
Quality / SQC Analyst
Research Associate
Database / Systems Analyst
Consulting Analyst
Public Sector / Official Statistics Roles

Employment Sectors

IT and Software Services
Data Science and Analytics Firms
Finance, Banking and Consulting
Research Institutions and Labs
Public Health and Policy Analytics
Market Research and FMCG
Government and National Statistical Systems
Quality Management and Manufacturing
Start-ups and Product Companies
Higher Studies and Academia
FOR A COMPLETE ACADEMIC PICTURE

Programme At a Glance

A dual-major B.Sc. integrating computational foundations with statistical analysis for data-driven careers.

Programme: Bachelor of Science (Dual Major)

Specialisation: Computer Science & Statistics

Duration: 3 Years (Optional 4th Year – B.Sc. Honours under NEP 2020)

Mode: Full-Time Undergraduate Programme

Academic Focus: Programming, algorithms, databases, AI/ML; probability, inference, sampling, SQC and applied statistics

Tools: Excel, R, Python, SQL and data visualisation platforms

Fee Structure Apply Now
CHECK IF YOU QUALIFY

Eligibility Criteria

Review the mandatory academic qualifications and minimum score criteria required for admission.

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

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CENTRE OF EXCELLENCE

Programme Outcomes

Outcome-based learning that unites computational efficiency with statistical insight for data-driven careers.

Core Computer Science

Programming, data structures, algorithms, databases, operating systems, computer networks, AI/ML basics and software engineering.

Core & Applied Statistics

Probability, distributions, index numbers, statistical inference, sampling theory, SQC and applied statistics.

Data Analysis Tools

Data analysis using Excel, R and introductory Python for statistical computing and visualisation.

Real-World Problem Solving

Applying statistical and computational thinking to solve real-world problems through labs, projects and fieldwork.

Analytical Reasoning

Analytical reasoning, logical thinking, problem-solving and data-driven decision making.

Career Versatility

Preparation for IT, analytics, research, public sector, finance, consulting and higher studies.

YOUR PATH TO SUCCESS

Why to Choose This Programme?

Data drives decisions across industry, research and policy. Professionals who can both process data computationally and interpret it statistically are in strong demand across technology and analytics roles.

The B.Sc. Computer Science & Statistics dual major at Kristu Jayanti integrates programming, systems and AI/ML foundations with probability, inference, sampling and applied statistics—supported by labs, projects and tools such as Excel, R, Python and SQL.

Choosing this programme enables students to:

  • 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 through programming labs, statistical labs, projects and field-based learning.
  • Skill development and certifications with exposure to Excel, R, Python, SQL and data visualisation platforms.
  • Career versatility across IT, analytics, research, public sector, finance, consulting and higher studies.
  • Holistic learning ecosystem with workshops, seminars, internships, project work and academic enrichment activities.

With dual depth in computer science and statistics, graduates are prepared for data-driven careers across IT, analytics, research and related sectors.