Department of Mathematics & Statistics 

The Department of Mathematics and Statistics is one of the constituent departments within the College of Science and Technical Education (CoSTE) at Mbeya University of Science and Technology (MUST). It was established following the approval of the MUST reformation during the 18th and 19th University Council meetings, held on July 16 and August 26, 2019, respectively. The department serves as a critical intellectual hub for quantitative inquiry and technical advancement. By offering specialized programs, such as the Diploma in Applied Statistics and the Master of Science in Applied Mathematics, the department equips students and scholars with the analytical tools necessary to navigate an increasingly data driven world. These programs are designed to bridge the gap between abstract theoretical frameworks such as those found in calculus, algebra, and probability theory and the practical demands of modern engineering, economics, and scientific research.

The vision of the department, which aims to become a leading department of excellence in mathematical sciences, innovative research, and consultancy, driving transformative solutions in sciences, technology, and engineering for sustainable development, is deeply intertwined with the broader mission of Mbeya University of Science and Technology to provide high quality education, research and consultancy that fosters sustainable development. By prioritizing rigorous mathematical training, transformative research and consultancy, the department ensures that its curriculum remains relevant to the evolving needs of the industrial and technological sectors. This alignment allows the department to act as a catalyst for solving societal problems. By applying statistical and mathematical modeling to public health data or utilizing advanced algorithms to optimize infrastructure and resource management, students and staff can provide data driven solutions that directly impact community welfare. Furthermore, the department’s commitment to bridging theoretical inquiry with real world application empowers stakeholders to make informed, evidence based decisions, thereby contributing to the global advancement of science and technology.