Overview
Curriculum development, assessments, and academic activities are aligned with clearly defined learning outcomes ensuring measurable competency and strong industry relevance.

In alignment with NEP 2020, the department embraces multidisciplinary learning, flexible curriculum structures, skill-based education, and experiential pedagogy to promote analytical thinking and innovation.

With a highly qualified and research-active faculty team, the department contributes through books, monographs, and publications in reputed international journals. Faculty members are frequently invited as experts to deliver talks at prestigious academic platforms globally.
The department encourages interdisciplinary research in Data Science, Artificial Intelligence, and Machine Learning, empowering students for technology-driven careers and research opportunities while strengthening mathematical competence and logical problem-solving ability.
Highlights
90+ research publications in reputed International and National Journals by faculty members
8 Patents
5+ books published by faculty members in recognized academic publishers More than 90% of faculty members are Ph.D. holders, ensuring strong research guidance and academic excellence
Vision
To strive for excellence in applied mathematics and promote interdisciplinary collaborative research leading to futuristic solutions.
Mission
- To empower students with applied mathematical knowledge that will enhance their problem-solving capability.
- To encourage faculty to engage in interdisciplinary research activity and scholarly writing.
- To give an exposure to real-world problems and methods of solving, using the tools and techniques of mathematics.
