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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED QUALIFICATION: 

Bachelor of Science Honours in Mathematical Statistics 
SAQA QUAL ID QUALIFICATION TITLE
111350  Bachelor of Science Honours in Mathematical Statistics 
ORIGINATOR
Nelson Mandela University 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY NQF SUB-FRAMEWORK
-   HEQSF - Higher Education Qualifications Sub-framework 
QUALIFICATION TYPE FIELD SUBFIELD
Honours Degree  Field 10 - Physical, Mathematical, Computer and Life Sciences  Mathematical Sciences 
ABET BAND MINIMUM CREDITS PRE-2009 NQF LEVEL NQF LEVEL QUAL CLASS
Undefined  120  Not Applicable  NQF Level 08  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 
The purpose of the qualification is, in one or more sub-fields within the Physical, Mathematical, Computer, Life, Earth, and Environmental Sciences:
  • To produce Science Graduates who have a systematic and coherent body of knowledge and an understanding of underlying concepts and principles.
  • The ability to access and evaluate scientific information including knowing how scientific knowledge is created; a high level of cognitive and other generic skills including problem-solving, written and spoken communication and computer literacy; and competence in applying knowledge through basic research methods and practice.
  • To provide every Graduate with a sufficient depth of knowledge and skills that give opportunities for continued personal intellectual growth, including Postgraduate study, for gainful economic activity in a range of careers, and for rewarding and constructive contributions to society.
  • To provide society with Science Graduates who demonstrate initiative and responsibility, who are professional and ethical in their roles within the economy and society, and who are able to be intellectual leaders within their society.
  • To produce Graduates in all scientific fields, in order to increase, widen and transform the leadership base in South Africa, both for innovation and science-based economic and research development, and for the education of future generations of Scientists, Technologists, Engineers and other professional people.

    Rationale:
    This qualification is an initial step in specialisation in the field and therefore important for growing of personnel for South African research and development. 
    		•

    LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
    As per the institution's RPL policy.

    Entry Requirements:
    The minimum entry requirement for this qualification is:
  • Bachelor's qualification (National Qualifications Framework (NQF) Level 7) with Mathematical Statistics.
    Or
  • Bachelor's qualification in Statistics (NQF Level 7). 
    		•

    RECOGNISE PREVIOUS LEARNING? 
    Y 

    QUALIFICATION RULES 
    This qualification consists of the following compulsory and elective modules at National Qualifications Framework (NQF) Level 8 totalling 126 Credits.
    Compulsory Modules at Level 8, 54 Credits:
  • Project, 30 Credits.
  • Multivariate Statistical, 24 Credits.

    Elective Modules at Level 8, 72 Credits (Choose/Select three):
  • Selective Topics in Actuarial Statistics, 24 Credits.
  • Categorical Data Analysis, 24 Credits.
  • Quantitative Data Analysis with Statistics, 24 Credits.
  • Mathematical Programming, 24 Credits.
  • Probability Theory, 24 Credits.
  • Analysis of Variance, 24 Credits.
  • Regression Analysis, 24 Credits.
  • Time Series Analysis, 24 Credits.
  • Capita Selecta, 24 Credits.
  • Capita Selecta A, 24 Credits.
  • Credibility Theory and Econometrics, 24 Credits.
  • Nonparametric Statistics, 24 Credits.
  • Sampling Theory, 24 Credits. 
    		•

    EXIT LEVEL OUTCOMES 
    1. Demonstrate a knowledge and understanding of fundamental concepts and principles. Recognise that scientific knowledge and understanding are changeable.
    2. Access, evaluate and synthesise scientific information and generate scientific information
    3. Demonstrate key scientific reasoning skills.
    4. Communicate scientific understanding in writing, orally and using visual, symbolic and/or other forms of representation.
    5. Solve scientific problems.
    6. Demonstrate effective Information and Communication Technology (ICT) skills.
    7. Work effectively as a member of a team or group in scientific projects or investigations.
    8. Apply scientific knowledge and ways of thinking to societal issues, taking into account ethical and cultural considerations.
    9. Manage and organise their learning activities responsibly. 

    ASSOCIATED ASSESSMENT CRITERIA 
    Associated Assessment Criteria for Exit Level Outcomes:
  • The research project is used for Integrated Assessment.
  • Assess the critical understanding of the theory, research methodologies and techniques relevant to statistics.
  • Assessing the ability to relate theory to practice and vice versa.
  • Analyse complex problems, synthesize, and independently evaluate quantitative data.
  • Assess the ability to present and communicate the results of the research to general audience.

    Integrated Assessment:
    The research project is used for Integrated Assessment. 
    		•

    INTERNATIONAL COMPARABILITY 
    The qualification is of similar standing with similar qualifications nationally and internationally. 

    ARTICULATION OPTIONS 
    This qualification allows possibilities for both vertical and horizontal articulation.
    Horizontal Articulation:
  • Bachelor of Science Honours, Level 8.

    Vertical Articulation:
  • Master of Science in Mathematical Statistics. 
    		•

    MODERATION OPTIONS 
    N/A 

    CRITERIA FOR THE REGISTRATION OF ASSESSORS 
    N/A 

    NOTES 
    N/A 

    LEARNING PROGRAMMES RECORDED AGAINST THIS QUALIFICATION: 
    When qualifications are replaced, some (but not all) of their learning programmes are moved to the replacement qualifications. If a learning programme appears to be missing from here, please check the replaced 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.
     
    NONE 


    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.