UNAM Bachelor of Science in Statistics

UNAM Bachelor of Science in Statistics

Degree

Bachelor of Science Honours

Admission Criteria

To register for a Bachelor of Science in Statistics or Population Studies (Honours) degree programme a candidate must hold a valid Namibian Senior Secondary Certificate (NSSC) (ordinary or higher) or a recognised equivalent qualification.

English is a compulsory subject and should normally have been obtained as a Second Language at NSSC (O level) with a minimum C symbol or English as a First Language at NSSC (O level) with a minimum D symbol. In addition to the above, admission to the Bachelor of Science in Statisitics or Population Studies (Honours) programme requires at least a symbol C on NSSC or equivalent qualification in Mathematics.

A candidate should obtain a minimum of 25 points on the UNAM Evaluation Point Scale in his/her five (5) best subjects (of which Mathematics and English must be included) to be admitted to this degree programme (Refer to the General Admission Criteria for Undergraduate Programmes in the General Information and Regulations Yearbook). Obtaining the minimum number of points, however, does not necessarily ensure admission as it is based on places available in the programme and is awarded on the basis of merit. Nevertheless, exemption rules for students who have completed a Diploma in Applied Statistics should apply.

Admission can also be considered for persons who qualify through the Mature Age Entry Scheme upon successful completion of the relevant examinations as set out in the General Information and Regulations Prospectus. A special application form is available for this purpose. Such candidates may also be required to pass a Faculty entry test before admission is granted (See the Faculty of Science Admission Requirements).

Duration of Study

The Bachelor of Science in Statistics or Population Studies (Honours) degree programme cannot be completed in less than four (4) years. However, it must be completed within a period of six (6) years of full-time study, unless special permission is granted for this period to be exceeded.

Modules

Year 1, Semester 1
English Communication & Study Skills
Descriptive Statistics
Computer Literacy
Basic Mathematics
Matrices & Complex Numbers
Analytical Geometry
Year 1, Semester 2
English for academic Purpose
Contemporary Social Issues
Precalculus
Introduction to Probability
Basic Financial Mathematics
Year 2, Semester 1
Probability Theory
Statistical Methods
Calculus I
Sets and Logic
Numerical Methods with MATLAB
Financial Mathematics I
Year 2, Semester 2
Fundamentals of Statistical Computing
Calculus II
Distribution Theory
Elementary Linear Algebra
Year 3, Semester 1
Non-Parametric & Categorical Statistics
Statistical Inference
Sampling Techniques
Linear Algebra I
Year 3, Semester 2
Data processing
Experimental Design and Analysis of Variance
Linear Algebra II
Research and Survey Methods
Linear Models
Year 4, Semester 1
Survival Analysis
Operational research
Research Project
Stochastic Processes
Year 4, Semester 2
Multivariate Distribution Theory
Research Project
Time series and forecasting
Statistical Quality Control

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