PURPOSE OF THE PROGRAMME
To develop knowledge skills and competences in the field of Operations Research and Statistics which are relevant to various career paths. To provide a foundation for further studies and research in Operations Research and Statistics.

PROGRAMME CHARACTERISTICS

Areas of Study:
Probability, Statistics, Optimisation, Statistical Modeling, Statistical Research Techniques and analysis, Survey and data analysis techniques, computational modeling, Statistical inference, Applied Statistics, Linear programming, Time series, Queuing Models, Case studies in Operations Research, Simulation and Modeling, Multivariate Statistics.

Specialist Focus:
Application of necessary tools and conceptual foundations in quantitative reasoning to extract information intelligently from a large pool of data (data mining) and the use robust statistical analysis and mathematical modeling to solve an array of business and organizational problems, as well as improve decision-making.
Orientation:
Real problems solving, research and survey activities, teaching and learning oriented programme.

Distinctive Features:
Provide basic techniques in theory of Operations Research and Statistics and their applications to real-world problems by enhancing analytical skills to attack complex, large-scale optimization problems of both a deterministic and stochastic nature to make better decisions that impact society and the world positively.

Normal entry
The minimum entry requirement is at least a pass in ‘A’ level Mathematics and a pass in any other science subject or any commercial subject.

Teaching and Learning Methods:
Lectures, tutorials and seminars, computer practical classes, group enquiry and/or problem based study, individual learning, research and research projects, field trips, orals tests.

Assessment Methods:
Written and oral examinations, tests, seminar presentations, industrial attachment report, mini-research project report, final year research project report, continuous assessments
Aims of the programme
To enable students to:
 Develop the analytical skills required for formulating and solving problems encountered in industry, commerce and society at large,
 Learn to conduct research,
 Do further research in an industrial or scientific or commercial setting that may enable them to study for further qualifications (MSc, MPhil or PhD).

REGULATIONS
The these regulations shall be read in conjunction with the NUST General Academic Regulations.

ENTRY REQUIREMENTS

Normal entry
The minimum entry requirement is at least a pass in ‘A’ level Mathematics and a pass in any other science subject or any commercial subject.

DURATION OF THE PROGRAMME
This programme shall run for four years.

STRUCTURE OF THE PROGRAMME
The programme shall consist of thirty-three taught modules, including three electives, plus industrial attachment and a research project. A minimum of six modules shall be done per semester. Students shall do a research project in Part IV. The overall assessment shall be based on all modules. In the case that a student does more than thirty three taught modules, his/her overall assessment shall be calculated from his/her best thirty three taught modules, the project and the industrial attachment.
In determining the overall degree programme aggregate, the following part weightings shall be used:
Part I 10% minimum 120 credits
Part II 30% minimum 120 credits
Part III 20% minimum 120 credits
Part IV 40% minimum 120 credits

INDUSTRIAL ATTACHMENT
Students shall do their Industrial Attachment in their third year and submit the industrial attachment report at the end of academic year. The Department of Statistics and Operations Research shall be responsible for the co-ordination, supervision and evaluation of the Industrial Attachment programme as detailed in the University Regulations.

RESEARCH PROJECT
Students shall be required to submit a project, which is equivalent to three modules, during the last academic year for which they are registered. On submission of a satisfactory project a student shall also be required to defend his/her work before a Departmental panel of Examiners.

DETERMINATION OF RESULTS
One three-hour paper written at the end of the semester accounts for 75% and the continuous assessment counts for 25% towards the final mark. The continuous assessment is generally a result of assignments and at least two tests.