Mathematics Department
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The Department of Mathematics, takes pride in serving our students with high quality courses in Applicable Mathematics for the various engineering and computer applications programs.
Overview:
We are deeply committed to excellence in mathematics teaching and learning while embracing the transformative potential of Artificial Intelligence. As part of an AI-First University, the Department of Mathematics is committed to integrating mathematical thinking, computational methods, data-driven approaches, and Artificial Intelligence across teaching, research, and interdisciplinary applications.
Our faculty members possess expertise across diverse areas of Mathematics, including Applied and Computational Mathematics, Probability and Statistics, Optimization and Operations Research, Mathematical Modelling, Graph Theory, Complex Analysis, Fluid Mechanics, along with interdisciplinary mathematical applications in Data Science, Artificial Intelligence, and Machine Learning. The department aims to develop a strong mathematical foundation that enables students to understand, design, and apply AI-driven technologies responsibly and effectively.
The department follows an AI-enabled active and experiential learning paradigm, empowering students to move beyond conventional learning and become independent thinkers, problem solvers, innovators, and lifelong learners. AI tools, computational platforms, programming, mathematical modelling, and data-driven techniques are integrated into courses wherever appropriate, enabling students to connect mathematical theory with real-world problems.
Our curriculum is designed to enhance students’ mathematical competencies, computational skills, and research capabilities by integrating modern tools such as MATLAB, Python, R Programming, and AI-based platforms. The department promotes interdisciplinary research at the interface of Mathematics and Artificial Intelligence, with applications in areas such as engineering, healthcare, finance, supply chain management, sustainability, scientific computing, imaging, and other emerging domains. We encourage collaborations with reputed academic institutions, research organizations, industries, and technology partners to address contemporary challenges through mathematical and AI-based approaches.
As the university progresses towards becoming an AI-First University, the Department of Mathematics aspires to serve as a strong academic and research foundation for AI-driven education and innovation. Our long-term goal is to develop a Centre of Excellence in AI-Enabled Applied Mathematics that contributes to cutting-edge research, interdisciplinary innovation, industry collaboration, and societal development.
Vision:
To establish a globally recognized Department of Mathematics at an AI-First University that integrates rigorous mathematical foundations with Artificial Intelligence, computational thinking, and interdisciplinary research, empowering students and researchers to develop innovative, responsible, and impactful solutions to real-world challenges.
Mission:
- AI-Integrated Education: Develop and deliver innovative mathematics curricula that integrate Artificial Intelligence, Machine Learning, Data Science, computational mathematics, and emerging technologies while maintaining strong mathematical foundations.
- Experiential and Active Learning: Integrate AI-enabled, experiential, collaborative, project-based, and active learning approaches to transform students into independent thinkers, problem solvers, innovators, and lifelong learners.
- Mathematical Foundations for AI: Strengthen students' understanding of mathematics as the fundamental language of Artificial Intelligence, including linear algebra, calculus, probability, statistics, differential equations, optimization, numerical methods, and mathematical modelling.
- Interdisciplinary Research: Promote interdisciplinary research at the interface of Mathematics, Artificial Intelligence, Engineering, Science, Healthcare, Business, Sustainability, and other emerging fields.
- AI-Enabled Research and Innovation: Encourage the development of novel mathematical models, optimization algorithms, computational methods, and AI-based methodologies to address complex real-world problems.
- Industry and Academic Collaboration: Establish strong collaborations with reputed universities, research institutions, industries, technology organizations, and government agencies for joint research, consultancy, innovation, internships, and knowledge exchange.
- Responsible and Ethical AI: Promote the responsible application of Artificial Intelligence by emphasizing mathematical transparency, explainability, reliability, fairness, sustainability, and ethical decision-making.
- Faculty Excellence: Recruit, develop, and support faculty members with strong academic and research potential, encouraging continuous professional development in Mathematics, AI, computational methods, and interdisciplinary research.
- Research and Innovation Ecosystem: Create an environment that encourages original research, entrepreneurship, intellectual freedom, innovation, patents, publications, and technology-driven solutions.
- Global Academic Engagement: Serve as a platform for international and national exchange of ideas through conferences, workshops, seminars, expert lectures, collaborative research, and academic partnerships.
- University-wide AI Enablement: Contribute mathematical expertise and AI-enabled solutions to the academic, research, and institutional initiatives of the university, supporting its vision of becoming an AI-First University.
- Societal Impact: Apply Mathematics and Artificial Intelligence to develop sustainable, inclusive, and socially relevant solutions that contribute to the advancement of society and the broader global community.
Strategic Positioning
Mathematics + Artificial Intelligence + Computational Thinking + Interdisciplinary Applications = AI-Enabled Applied Mathematics
The Department of Mathematics will serve as a mathematical foundation for the AI-First University, preparing students not only to use Artificial Intelligence but also to understand, formulate, develop, validate, optimize, and responsibly apply AI-based solutions.






