Department of Sciences

The Department of Science at St. Claret College, Autonomous equips students to meet the challenges of the ever-evolving fields of science and information technology through a well- rounded education and training. The Department continuously updates its curriculum to align with current industry standards, ensuring that students are industry-ready. Classroom instruction is enriched with supplementary and specialized courses to provide a deeper understanding of the subject matter.

The Department's experiential learning initiative, IMPELZ, fosters confidence and practical knowledge by transforming experiences into meaningful learning opportunities. Additionally, students benefit from a variety of e-learning activities, skill development seminars, peer teaching sessions, and extension programs, all designed to offer a distinctive learning experience. Value- added programs, conducted in collaboration with reputed organizations, enhance students’ technical abilities, thereby increasing their employability and career prospects.
A combination of the following subjects enriches the Science programme:
Mathematics: Studying Mathematics provides students with a strong foundation in mathematical concepts, problem-solving skills, critical observation and analytical reasoning. It prepares students for diverse career opportunities and advanced studies by integrating theoretical knowledge with practical applications.
Psychology: Psychology delves into the scientific study of human behavior and mental processes. Students explore concepts like perception, learning, emotions, personality, and the impact of social environments on individuals.
Economics: Economics offers insights into the functioning of markets, resource allocation, and the impact of policy decisions on society. It nurtures analytical thinking and a grasp of micro- and macroeconomic principles.
Statistics: Study of Statistics focuses on probability, statistical methods, survey sampling, and numerical analysis. The program aims to improve students' mathematical comprehension and problem-solving skills, which are essential for tackling statistical applications.
Computer Science: Learning Computer Science at the undergraduate level equips students with a robust understanding of computing principles, programming, and emerging technologies. It prepares students for dynamic careers and further studies by combining theoretical foundations with hands-on experience in software development, data analytics, and system design.
Artificial Intelligence and Machine Learning (AI/ML) The Artificial Intelligence and Machine Learning programme at St. Claret College provides students with a comprehensive understanding of AI principles, algorithms, and real-world applications. It prepares students for cutting-edge careers and advanced research by combining theoretical knowledge with practical expertise in data modeling, neural networks, and intelligent systems.

Data Science: The program in Data Science at St. Claret College equips students with the skills to analyze, interpret, and manage complex data using advanced statistical and computational tools. It prepares students for careers in data-driven industries and further studies by integrating theoretical knowledge with practical applications in data visualization, machine learning, and big data technologies.

Deep Specialization in V and VI semesters
During the I-IV semesters, students study one of the prescribed triple combinations. In the V and VI semesters, they can select specific papers from their chosen combination for deeper specialization, equipping them well for careers or higher education.

B.Sc. Combinations Offered:

Add on Programme:
Power Bi
This 30-hour certificate course on Power BI introduces participants to Microsoft's powerful business analytics tool. The course equips learners with the skills to visualize, analyze, and share data insights in an interactive and user-friendly manner. Power BI enables organizations to make informed, data-driven decisions through dynamic dashboards, detailed reports, and interactive visualizations.