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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.
Integrates programming, database management, statistical analysis, data visualization, and R/Python-based computing to develop skills in data-driven problem-solving and decision-making.
Combines Computer Science foundations in AI/ML with statistical inference, predictive modelling, probability, and data analysis, enabling students to develop and evaluate intelligent data-driven solutions.
Focuses on transforming large and complex datasets into actionable insights using databases, SQL, Excel, R, visualization tools, and statistical techniques, with applications in finance, healthcare, business, research, and industry.
A dual-major B.Sc. integrating computational foundations with statistical analysis for data-driven careers.
Programme Title: BSc
Specialization: Computer Science, Statistics
Duration: 3 years
Study Mode: Full time
Core Academic Focus Areas: Programming & Computational Skills, Database & Data Management, Statistical Computing, Data Analysis & Visualization, Statistical Modelling & Machine Learning, Research & Survey Analytics
Focus Areas from Computer Science: Key areas include AI Essentials, Design and Analysis of Algorithms, Cyber Security Essentials, Machine Learning, and Cloud Environment, with hands-on practical learning to strengthen students’ technical and industry-ready skills.
Learning Pathway (Extra Electives and others): Data Science & Analytics, Advanced Statistical Methods, Computational & Software Skills, Research & Professional Skills, Internship & Experiential Learning, Interdisciplinary Electives, Capstone Project
Comprehensive semester-wise course distribution covering core computer science, statistical theory, computational labs, and multidisciplinary skills.
Review the mandatory academic qualifications and minimum score criteria required for admission.
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.
Looking for a programme that matches your interests?
Find Programmes by InterestTargeted competencies and practical mastery achieved by graduates throughout their academic journey.
PSO1: Demonstrate knowledge of principles and concepts in Computer Science and Statistics.
PSO2: Apply theoretical frameworks and methods in Computer Science and Statistics in industrial and societal settings.
PSO3: Exhibit proficiency in programming languages and statistical tools.
PSO4: Formulate ethical and systematic research in Computer Science and Statistics.
Key strengths, experiential learning, and strategic career advantages offered by the 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:
With dual depth in computer science and statistics, graduates are prepared for data-driven careers across IT, analytics, research and related sectors.