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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED QUALIFICATION: 

Master of Science in Mathematical Statistics 
SAQA QUAL ID QUALIFICATION TITLE
87179  Master of Science in Mathematical Statistics 
ORIGINATOR
Nelson Mandela University 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY NQF SUB-FRAMEWORK
CHE - Council on Higher Education  HEQSF - Higher Education Qualifications Sub-framework 
QUALIFICATION TYPE FIELD SUBFIELD
Master's Degree  Field 10 - Physical, Mathematical, Computer and Life Sciences  Physical Sciences 
ABET BAND MINIMUM CREDITS PRE-2009 NQF LEVEL NQF LEVEL QUAL CLASS
Undefined  120  Level 8 and above  NQF Level 09  Regular-Provider-ELOAC 
REGISTRATION STATUS SAQA DECISION NUMBER REGISTRATION START DATE REGISTRATION END DATE
Registered-data under construction  EXCO 0324/24  2024-07-01  2027-06-30 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2028-06-30   2031-06-30  

Registered-data under construction

The qualification content is currently being updated for the qualifications with the status “Registered-data under construction” or showing “DETAILS UNDER CONSTRUCTION” to ensure compliance with SAQA’S Policy and Criteria for the registration of qualifications and part-qualifications on the National Qualifications Framework (NQF) (As amended, 2022). These qualifications are re-registered until 30 June 2027 and can legitimately be offered by the institutions to which they are registered.

 

In all of the tables in this document, both the pre-2009 NQF Level and the NQF Level is shown. In the text (purpose statements, qualification rules, etc), any references to NQF Levels are to the pre-2009 levels unless specifically stated otherwise.  

PURPOSE AND RATIONALE OF THE QUALIFICATION 
As indicated in the overall degree statement, with the focus on those skills and knowledge required in the discipline of Mathematical Statistics. 

LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
Entrance Requirements

As indicated in the general form. 

RECOGNISE PREVIOUS LEARNING? 
N 

EXIT LEVEL OUTCOMES 
Subject specific outcomes

Graduates of the programme will:

1. Demonstrate an understanding of the fundamentals of statistics with particular reference to the areas of estimation and hypothesis testing; understand the mainstream statistical theories and methods for the analysis of data; and understand and be able to implement mainstream statistical theories and methods for the analysis of data.

2. Be capable of analytic thought and also of bringing together concepts, theory and methods from different areas of learning in order to solve particular problems; apply the appropriate statistical methods and statistical software to analyse data; and interpret the results.

3. Be skilled in designing statistical models and analysing them using appropriate theory, and demonstrate practical technical skills including relatively advanced computer skills.

4. Be capable of collaborative group work in the application of statistics and related fields to real-world problems.

5. Have well-developed communication skills in written and spoken English, with emphasis on the expression of real-world statistical problems in mathematical terms.

6. Use technology responsibly through regulated practice in the laboratories.

7. Demonstrate the use of statistical principles and concepts, and the integration of knowledge from other disciplines, across real-world contexts.

Graduates of the programme will be aware of:

8. A variety of thinking and learning skills, with emphasis on the application of Statistics to real-life situations.

9. Participating in society as responsible statisticians; assisting other scientists with the statistical analysis of their data.

10. Demonstrating cultural, social and environmental awareness, through, for example the imparting of statistical skills in society particularly to historically disadvantaged communities.

11. Career opportunities in Statistics, through the tracking of job opportunities in the National press, placed on a notice board.

12. Fundamental entrepreneurial skills through exposure to basic business practices and financial management, with emphasis on the relevancy of statistics and the interpretation of statistical data. 

ASSOCIATED ASSESSMENT CRITERIA 
Integrated Assessment

As indicated on the general form with:

Assessment Practice: Formative Outcome(s) Module(s)
  • Tutorials 1,2,3,4,5,7 All
  • Computer Practicals 1,2,3,4,5,6,7 WSD, WSI, WSM, WSU, WSV


    Assessment Practice: Summative
  • Tests 1,2,3,5,7 All
  • Examinations 1,2,3,5,7 All 
    		•

    ARTICULATION OPTIONS 
    As indicated on the general form, with:

    General Articulation After Successful Completion

    Qualifying graduates will have access to
  • Actuarial training leading to the F.F.A. of either the English or Scottish Faculty of Actuaries
  • Postgraduate teaching certificates, e.g. H.D.E. 
    		•

    MODERATION OPTIONS 
    As indicated on the general form, with

    Moderating body
  • South African Statistical Association 
    		•

    REREGISTRATION HISTORY 
    As per the SAQA Board decision/s at that time, this qualification was Reregistered in 2009; 2012; 2015. 

    LEARNING PROGRAMMES RECORDED AGAINST THIS QUALIFICATION: 
     
    NONE 


    PROVIDERS CURRENTLY ACCREDITED TO OFFER THIS QUALIFICATION: 
    This information shows the current accreditations (i.e. those not past their accreditation end dates), and is the most complete record available to SAQA as of today. Some Primary or Delegated Quality Assurance Functionaries have a lag in their recording systems for provider accreditation, in turn leading to a lag in notifying SAQA of all the providers that they have accredited to offer qualifications and unit standards, as well as any extensions to accreditation end dates. The relevant Primary or Delegated Quality Assurance Functionary should be notified if a record appears to be missing from here.
     
    1. Nelson Mandela University 


    All qualifications and part qualifications registered on the National Qualifications Framework are public property. Thus the only payment that can be made for them is for service and reproduction. It is illegal to sell this material for profit. If the material is reproduced or quoted, the South African Qualifications Authority (SAQA) should be acknowledged as the source.