BSc Statistics Program Objectives

  • To provide graduates with a coherent knowledge of Statistics, both in breadth and depth, on the principles and practice of the subjects.
  • To produce graduates who can apply their mathematical knowledge effectively in interdisciplinary areas.
  • To produce graduates with good communication skills.
  • To produce graduates who are able to apply their acquired knowledge and skills in Statistics to solving real life problems.
  • To produce graduates prepared for life-long learning and subsequent graduate studies.
  • To produce graduates who can think analytically and critically.


BSc Statistics Program Outcomes

Upon successful completion of the program, graduates are expected to have achieved the following Program Outcomes.

1. The ability to apply the knowledge and skills acquired in mathematics and statistics in solving real life problems.
2. The ability to identify, formulate and solve mathematical and/or statistical problems.
3. The ability to communicate effectively with a range of different audiences.
4. The ability to collect, organize, analyze and interpret data in statistical settings.
5. The ability to write reports clearly and legibly and systematically.
6. The ability to function effectively as a team player to accomplish a common goal.
7. The recognition of the need for self-improvement, and to seek more knowledge and skills in mathematics and/or statistics.
8. The ability to reach out and cope with complexities of interdisciplinary applications.
9. An understanding of professional responsibilities.
10. The ability to think analytically and critically, and to engage in innovative applications of mathematics and statistics in diverse areas.

Course Code              Course Name                                                  
                 Introduction to Statistics
                 Introduction to Probability
                 Introduction To Operations Research
                 Introduction to Inference

                 Introduction to Sampling
                 Computational Techniques in Statistics

                 Statistical Methods
                 Regession Analysis
                 Design and Analysis of Experiments I
                 Nonparametric Statistics
                 Survey Design
                 Quality Assurance and Reliability
                 Categorical Data Analysis
                 Demographic and Health Care Statistics
                 Time Series Analysis
                 Multivariate Techniques 

Major Requirements:

To apply for statistics major, students need  LANC2058, MATH2107 and STAT1001 plus one introductory science courses, with a minimum of C in MATH2107 and C in STAT1001.

Minors offered to Science Students