Department of Operations Research and Statistics
Mr Hausitoe Nare: Chairperson
Expected Benefits of using Operations Research:
- Increased Revenue
- Increased Market Share
- Reduction in Costs
- Greater utilisation from limited equipment, facilities, money and personnel
- Manage and reduce risk
- Improve quality
- Increased speed and throughput
- Provide a better basis for forecasting and planning
- Good governance practices
- Quantify and balance qualitative considerations
- Asses the likely outcomes of decision alternatives and uncover better alternatives
- Demonstrate feasibility and workability and assist with training
- Gain better control; achieve turn-around
The Department started operating independently in 2012. It had a staff complement of 9 Lecturers, 1 Teaching Assistant, 1 Senior Technician and 1 Senior Secretary. Four Degree Programmes were being offered and these are: BSc. Hons. Degree in Operations Research & Statistics, BSc. (Special Hons.) Degree in Operations Research & Statistics, MSc. in Operations Research and PhD in Operations Research & Statistics. Previously, these programmes were offered under the Department of Applied Mathematics.
Operations Research has wide applications in: Business, Industry, Boardroom and Executive Offices, Manufacturing and service operations, Finance and Control, Marketing Research and Forecasting, Agriculture, Health Systems, Information Systems and Statistical Data Analysis, Econometric modeling, Engineering, Research and Development, Government and Military Organisations, Complex Scheduling, Supply Chain Management, Logistics and Distribution Management, Telecommunications, Transportation, Public Sector.
Expected Benefits of using Operations Research:
- Increased Revenue
- Increased Market Share
- Reduction in Costs
- Greater utilisation from limited equipment, facilities, money and personnel
- Manage and reduce risk
- Improve quality
- Increased speed and throughput
- Provide a better basis for forecasting and planning
- Good governance practices
- Quantify and balance qualitative considerations
- Asses the likely outcomes of decision alternatives and uncover better alternatives
- Demonstrate feasibility and workability and assist with training
- Gain better control; achieve turn-around
The Department of Statistics & Operations Research (SORS) inaugurated in 2012, has a high international and multidisciplinary profile. The main topics of research are:
- Integer programming
- Networks
- Forecasting
- Impact modelling
- Non-Deterministic polynomial Hard problems
- Decision Analysis
- Statistical Modeling
- Computational Statistics
- Financial Econometrics
- Extreme Value Theory
- Discrete time Event and Continuous time Event Simulation Modelling
- Stochastic Modelling
- Derivatives
- Option Pricing
- Financial Risk Modeling/Analytics
- Multivariate Analysis
- Survival Data Analysis
- Reproductive Health Issues
For more details on these research topics contact the individual staff concerned.
The Department offers the following services:
- Training in statistical packages such as SPSS, STATA, EViews and R
- Statistical consultancy services
- Operations Research consultancy services
In the Community
The Department is engaged in the Community through the NUSTSEP programme
Hausitoe Nare is the current Chairperson of the Department of Statistics and Operations Research. He has held this position since September 2020. He joined the University as a Lecturer in October 2007. He was promoted to Senior Lecturer with effect from 1 January 2023. He has held other positions within the Department and the University. These include being the examinations for the Department for 7 years between 2012 and 2019 as well as being Faculty of Applied Science representative on the Senate ICT committee.
During his tenure as Chairperson, Mr Nare oversaw the introduction of the Bachelor of Science honours degree in Business Analytics program in August 2021 as well revision of the Bachelor of Science honours degree and Master of Degree in Operations Research and Statistics curricula.
His research interests include statistics of extremes, generalised linear models and financial econometrics. He has published extensively in peer reviewed journals.
Mr Nare earned his Bachelor of Science honours degree in Applied Mathematics, Master of Science degree in Operations Research and Post-graduate diploma in Higher Education from the National University of Science and Technology.
Website: https://scholar.google.com/citations?hl=en&user=0H8XVh0AAAAJ
Email: hausitoe.nare@nust.ac.zwOur Degree Programmes
The Department offers the following programmes:
Bachelor of Science honours degree in Operations Research and Statistics
Bachelor of Science honours degree in Business Analytics
Entry requirements: (identical for both)
- Normal Entry-A Level passes in Statistics and/or Mathematics and any other science or commercial subject, NC or ND in a related field
- Special Entry-HND in a related field
- Mature Entry-at least 25 years of age at time of application plus relevant work experience in the field of Operations Research, Statistics and/or Mathematics
Master of Science degree in Operations Research and Statistics
Entry requirements:
- BSc honours in Applied Mathematics/Mathematics, Applied Statistics/Statistics, Operations Research and Statistics with at least a 2.2 degree class
- BSc or BEng with significant mathematical with at least a 2.1 degree class
- Bed honours degree in Mathematics, Statistics, Operations with at least a 2.2 degree class
Doctor of Philosophy degrees in:
- Operations Research
- Operations Research and Statistics
- Statistics