Bachelor of Science Honours in Statistics
The qualification aims: - To provide learners with a sound statistical basis for a higher level study of abstract statistics, such as advanced probability theory, statistical inference, non-parametric and categorical statistics, experimental design and analysis of variance, time series, demographic methods and statistical quality control.
Source: SAQA official qualification record. Yiba Verified does not own the underlying qualification data shown on this page.
Qualification type
Honours Degree
Credits
120
Sub-framework
HEQSF - Higher Education Qualifications Sub-framework
Providers listed
1
Qualification snapshot
Official qualification identity fields captured from the qualification record.
Originator
University of Venda
Quality assurance functionary
CHE - Council on Higher Education
Field
Field 10 - Physical, Mathematical, Computer and Life Sciences
Subfield
Mathematical Sciences
Qual class
Regular-Provider-ELOAC
Recognise previous learning
Y
Important dates
These dates are carried directly from the qualification record.
Registration start
2024-07-01
Registration end
2027-06-30
Last date for enrolment
2028-06-30
Last date for achievement
2031-06-30
Purpose and entry context
Official SAQA text formatted for easier reading.
Purpose and rationale
The qualification aims
- To provide learners with a sound statistical basis for a higher level study of abstract statistics, such as advanced probability theory, statistical inference, non-parametric and categorical statistics, experimental design and analysis of variance, time series, demographic methods and statistical quality control.
- To provide learners with a deeper understanding of the advanced theoretical statistical concepts and their properties.
- To provide learners with skills for solving advanced statistical problems.
- To provide students with insights into possible applications of these skills to other fields like management, commerce or government.
Entry requirements and RPL
Recognition of Prior Learning (RPL)
The institution conducts RPL in terms of the policy and guidelines of the institution to recognise other forms of formal, informal and non-formal learning and experience. In cases where learners do not comply with the formal admission requirements, the institution applies its RPL policy.
Entry Requirements
The minimum entry requirement for this qualification is
- Advanced Diploma in Statistics, NQF Level 7.
- Bachelor of Science in Mathematics, NQF Level 7.
Structure and assessment
Qualification rules, exit outcomes, and assessment criteria from the SAQA record.
Qualification rules
N/A
Exit level outcomes
- Demonstrate a better understanding of concepts and properties in the relevant statistical topics and modules.
- Solve statistical problems of advanced nature.
- Acquire insight and desire for advanced study in statistical areas.
Associated assessment criteria
Integrated assessment
This will consist of continuous assessment, which involves research projects, class seminars, and written examinations in all the prescribed modules.
- Written examinations.
- Written tests and project work.
Progression and comparability
Articulation options
This qualification allows possibilities for both vertical and horizontal articulation.
Horizontal Articulation
- Bachelor of Arts Honours in Mathematics, NQF Level 8.
- Bachelor of Commerce Honours in Statistical Sciences, NQF Level 8.
Vertical Articulation
- Master of Science in Statistics, NQF Level 9.
- Master of Commerce in Statistics, NQF Level 9.
International comparability
This qualification compares with the following international qualifications in terms of the range of competencies in the learning content offered.
Notes
As per the SAQA Board decision/s at that time, this qualification was Reregistered in 2006; 2009; 2012; 2015.
NOTES
N/A
Providers currently listed
This reflects provider names published on the official record. It is useful for qualification discovery, but it should not be treated as a substitute for checking the relevant quality body’s latest provider status.
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