KE SANSTHAN-EDUVERSITY offers a range of programs in Applied Science, focusing on practical applications of scientific knowledge and preparing students for careers in various scientific fields. These programs combine theoretical understanding with hands-on experiences to foster critical thinking, problem-solving skills, and scientific research capabilities.

1. Bachelor of Science (B.Sc.) in Applied Physics: The B.Sc. program in Applied Physics provides students with a strong foundation in physics principles and their applications in real-world scenarios. Students study topics such as classical mechanics, quantum mechanics, electromagnetism, optics, and materials science. Practical laboratory work and research projects complement the theoretical coursework.
2. Bachelor of Science (B.Sc.) in Applied Chemistry: The B.Sc. program in Applied Chemistry focuses on the practical applications of chemical principles and laboratory techniques. Students study subjects such as organic chemistry, inorganic chemistry, physical chemistry, analytical chemistry, and environmental chemistry. The program emphasizes hands-on experiments, chemical analysis, and research projects.
3. Bachelor of Science (B.Sc.) in Applied Biology: The B.Sc. program in Applied Biology covers various aspects of biology with a focus on practical applications. Students explore subjects such as cell biology, genetics, ecology, microbiology, and biotechnology. The curriculum includes laboratory work, field studies, and research projects to develop practical skills.
4. Master of Science (M.Sc.) in Applied Mathematics: The M.Sc. program in Applied Mathematics aims to deepen students’ mathematical knowledge and its applications in diverse fields. Students learn advanced topics such as differential equations, numerical methods, mathematical modeling, optimization, and statistics. The program emphasizes practical problem-solving through mathematical analysis and simulations.
5. Master of Science (M.Sc.) in Applied Data Science: The M.Sc. program in Applied Data Science focuses on the application of data analysis and machine learning techniques to solve real-world problems. Students gain expertise in areas such as data visualization, statistical modeling, predictive analytics, and big data processing. Practical projects and industry collaborations provide hands-on experience in data-driven decision-making.