About the Programme
Overview
The BSc undergraduate program in Computer Science and Statistics offers a dynamic and interdisciplinary approach to the ever-evolving fields of computer science and statistics. This comprehensive program equips students with a solid foundation in programming, algorithms, and software engineering, while also delving deep into the principles of statistical analysis, data modelling, and probability theory. This unique blend of knowledge and skills prepares graduates for a wide range of careers in various industries. Students gain hands-on experience in designing innovative software solutions and harnessing the power of statistical methods to extract meaningful insights from complex data sets. With a curriculum designed to meet the demands of the digital age, graduates emerge well-prepared for diverse career paths, ranging from data analysis and machine learning to
software development and business intelligence. Through a combination of theoretical knowledge and practical skills, students in this program are empowered to tackle real-world challenges, making significant contributions to the fields of computer science and statistics. The demand for BSc Computer Science and Statistics graduates is projected to grow significantly in the coming years, driven by the increasing adoption of data analytics and machine learning across various industries. The Bureau of Labor Statistics projects that employment for data scientists will grow by 22.8% from 2020 to 2030, much faster than the average for all occupations. Similarly, employment for software developers is expected to grow by 22% during the same period.
Why choose this course?
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To understand fundamental principles of both subjects.
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Apply the concepts and methods in key areas
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Learn problem solving, analytical and logical skills.
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Provide solutions for the scientific requirements.
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Develop critical thinking.
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Present the subjects effectively.
What you will learn?
Modules
- Discrete Statistics
- Programming concepts
- Computational Statistics
Year 1
- Computer Fundamentals
- Statistical Inference
- Regression Modelling
- Web and Mobile Application Development
Year 2
- Web and Mobile Application Development
- Survival Analysis
- Time Series Analysis and Forecasting
- Design and Analysis of Algorithm
Year 3
- Projects
- Cloud Computing and Artificial Intelligence
- Computer Science Honors
- Internet of Things
- Research Oriented Courses
Year 4
- Data Mining and Data warehousing
- Computer Vision
- UI/UX
- Machine learning
Career prospects
Eligibility & Fee Structure
Message from the HOD
Welcome to the Department of Statistics and Data Science at CHRIST (Deemed to be University), Bangalore
The Department of Statistics and Data Science is a vibrant centre for learning, innovation, and research, reflecting the university’s vision of “Excellence and Service.” The department fosters an intellectually stimulating environment that nurtures analytical minds, encourages inquiry, and inspires innovation through data-driven thinking.
The disciplines of Statistics and Data Science converge here to create a powerful synergy between analytical reasoning and technological advancement. Statistics provides the foundation for understanding uncertainty, drawing inferences, and ensuring precision, while Data Science ext
Message from the HOD
Welcome to the Department of Statistics and Data Science at CHRIST (Deemed to be University), Bangalore
The Department of Statistics and Data Science is a vibrant centre for learning, innovation, and research, reflecting the university’s vision of “Excellence and Service.” The department fosters an intellectually stimulating environment that nurtures analytical minds, encourages inquiry, and inspires innovation through data-driven thinking.
The disciplines of Statistics and Data Science converge here to create a powerful synergy between analytical reasoning and technological advancement. Statistics provides the foundation for understanding uncertainty, drawing inferences, and ensuring precision, while Data Science extends this base through computational techniques, machine learning, and modern analytics. Together, they empower learners to transform data into knowledge and knowledge into impactful decisions.
Driven by a spirit of research and innovation, the department offers a range of programmes designed to meet emerging global and industry needs. These include an industry-integrated Postgraduate Programme, as well as a Dual Degree Postgraduate Programme offered in partnership with Steinberg University, which provides students with valuable international exposure and a global perspective in data-centric education. The curriculum integrates statistical reasoning with advanced analytical tools, enabling learners to interpret complex data, design intelligent models, and communicate insights effectively.
Through rigorous academics, hands-on projects, and a strong research culture, the department ensures that students develop both conceptual depth and practical expertise. The learning environment encourages creativity, collaboration, and critical thinking — essential for addressing contemporary challenges in an increasingly data-driven world. The department takes pride in preparing students to become innovative problem-solvers and responsible professionals who contribute meaningfully to global progress. Each learner who joins this journey becomes part of a community that values knowledge, ethics, and purposeful engagement.
Admission Process
- Register with your Email ID
- Login to the Admission Portal
- Fill the Application Form
- Pay Application Fee
- Entrance Test (If Applicable)
- Assessment
- Interview
- Check login page for result
- If selected, Offer Letter attached
- Pay Course Fee Online
- Complete Admission Process
Ready to Apply?
Applications for the 2026 batch are open. Deadline: -.