Applied Mathematics And Statistics

Department of Applied Mathematics And Statistics

Dr Whatmore Sengweni

Chairperson

This Department has a number of broad objectives that cover our modules and activities. Students have an opportunity to develop their ability to articulate nature and environmental issues within both the human and physical domain as well as appreciate the complex inter-relationships between these two. Geographers and Environmentalists find employment because they have a range of skills from numeracy, communication, literacy, spatial organization of human society and group activities to computerized mapping and spatial information systems, laboratory work and field work.

K1024_Gemini_Generated_Image_2p8ivh2p8ivh2p8i

About the Department

The Department of Applied Mathematics and Statistics offers a diverse portfolio of undergraduate and postgraduate programmes, namely BSc Actuarial Science, BSc Applied Mathematics and Computational Sciences BSc Applied Statistics, and MSc Biostatistics and Epidemiology. The department is committed to providing rigorous training in quantitative analysis, modelling, and data-driven decision-making to meet academic, professional, and societal needs.

The department is supported by a dedicated and multidisciplinary academic staff with expertise in actuarial science, applied mathematics, statistics, biostatistics, epidemiology, and computational methods. Staff members are actively engaged in teaching, research, and community service, ensuring high-quality instruction aligned with international standards and professional bodies.

Through its programmes, the department aims to produce graduates equipped with strong analytical skills, practical competence, and the ability to address complex real-world problems across finance, health, industry, and policy.

The Department of Applied Mathematics and Statistics is committed to advancing knowledge and fostering innovation through:

  1. Teaching that cultivates analytical, computational, and problem-solving skills relevant to modern scientific, technological, and industrial needs.
  2. Research that generates impactful solutions to real-world challenges in health, agriculture, environment, and industry.
  3. Community Service that empowers local communities through data literacy, mathematical modelling, and capacity-building initiatives.
  4. Innovation that drives the creation of mathematical and statistical tools, software, and models that support evidence-based decision-making and entrepreneurship.
  5. Industrialisation through strategic partnerships and applied research that transform mathematical and statistical expertise into practical technologies and sustainable enterprises.

Vision Statement

To be a leading centre of excellence in Mathematical Sciences, advancing innovative data driven research and solutions that advance national development and industrial transformation.

Mission Statement

To cultivate a vibrant academic environment that nurtures critical thinking, interdisciplinary collaboration, and applied research in mathematical sciences, empowering graduates and researchers to contribute to the industrialisation and modernisation of society through innovative, data-driven solutions.
Thematic Areas

The  following are the broad teaching  themes within the department:

  • Data Science and Analytics
  • Machine Learning 
  • Probability and Statistical Inference
  • Optimization and Control Theory
  • Mathematical modelling and simulation
  • Computational Mathematics
  • Mathematical Finance
  • Biomathematics
  • Actuarial Mathematics and Statistics
  • Pensions and Benefits
  • Finance and Investment
  • Financial Engineering
Research Areas and Projects

Research Areas and Projects

The following are the key research areas that the department focuses on and has expertise in:

Ongoing research areas;

  • Climate Change Modelling and Simulation 
  • Distributional Theory 
  • Biomathematics
  • Financial Modelling 
  • Machine Learning and Data Science Applications

Recent or notable projects;

Project 1

  • Project Title: Topic modelling for Climate Smart Agriculture Policy documents  in Zimbabwe.
  • Researcher (s): Godfrey Shoko, Whatmore Sengweni, Chiedza, E Mashiri, Marx Dambaza

Project 2

  • Project Title: Probability Distributions for modelling extreme events, detection and assessment of climate risk in Buhera, Zimbabwe.
  • Researcher (s): Whatmore Sengweni, Chiedza, E Mashiri, Godfrey Shoko, Raymond Mugandani

Statistical and Mathematical Consulting Unit

Our Programmes

Contact Details

Department of Applied Mathematics and Statistics

The Chairperson

Midlands State University Private Bag 9055 Gweru, Zimbabwe

Phone number Tel +263 54 260409 / +263 54 260450/ +263 54 260667 ext 258