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SOUTH AFRICAN QUALIFICATIONS AUTHORITY 
REGISTERED QUALIFICATION: 

Bachelor of Science Honours in Statistics 
SAQA QUAL ID QUALIFICATION TITLE
112978  Bachelor of Science Honours in Statistics 
ORIGINATOR
University of Zululand 
PRIMARY OR DELEGATED QUALITY ASSURANCE FUNCTIONARY NQF SUB-FRAMEWORK
CHE - Council on Higher Education  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
Reregistered  EXCO 0821/24  2019-11-22  2027-06-30 
LAST DATE FOR ENROLMENT LAST DATE FOR ACHIEVEMENT
2028-06-30   2031-06-30  

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.  

This qualification does not replace any other qualification and is not replaced by any other qualification. 

PURPOSE AND RATIONALE OF THE QUALIFICATION 
Purpose:
The purpose of the Bachelor of Science Honours in Statistics is to:
  • Equip learners with knowledge and expertise.
  • Develop learners intellectually at a personal level.
  • Enable learners to participate meaningfully in the development of the community.
  • Equip learners with knowledge of various research methodologies and methods.
  • Enable learners to understand the set of appropriate procedures, processes and techniques adopted for solving related problems.

    The qualification focuses on the application of statistics in the fields of finance, environmental science, statistical quality control engineering and health science. The purpose will also be to expose the learners to various approaches to the process of information gathering and synthesis. An overarching purpose is also to equip the learners with knowledge and skills necessary to research postgraduate level

    Graduates will be able to:
  • Demonstrate knowledge and in-depth understanding of the concepts, theories, methods and techniques covered in the statistics.
  • Apply the skills to identify, analyse and interpret complex statistical problems using appropriate techniques in statistics and other cognate disciplines
  • Apply skills to access, process and manage information
  • Work, communicate, anticipate and make appropriate decisions with researchers in a range of subjects.
  • Apply the knowledge of relevant computer software in statistical problem-solving and modelling.

    The qualification emphasises curricular attributes that are specific to the needs of these fields, which are:
  • Knowledge and intellectual ability.
  • Interactive and personal skills.
  • Workplace skills and applied knowledge.
  • Teamwork.
  • Problem-solving skills.
  • Access, process and manage information.

    Rationale:
    The design of the qualification focuses on meeting several employer-based requirements as well as to develop learners with statistical competencies. Employers have identified these competencies and skills as crucial. Thus, the learners will be to work in the following fields:
  • Finance,
  • Environmental science,
  • Statistical quality control and health science.

    Envisaged occupations for the learners are:
  • Statistical quality controller,
  • Financial and economic analysts, and
  • Statisticians.

    Admission of learners with a Bachelor of Science qualification with Statistics is possible for this qualification. The qualification, therefore, envisages furtherance of career prospects of the graduates in statistics with other majors. The qualification has potential in terms of its applications to Business, Economics and Management industries.

    The projects undertaken by the learners are related to real industrial applications which require the use of statistics. 
    		•

    LEARNING ASSUMED TO BE IN PLACE AND RECOGNITION OF PRIOR LEARNING 
    Recognition of Prior Learning (RPL):
    The University acknowledges Recognition of Prior Learning (RPL). Policy and Procedures document sets out the requirements and procedures for the recognition of prior learning for admission to study at the university. Recognition of prior learning in the form of certified university qualifications that are acceptable to the Senate for access. The Senate may consider appropriate professional qualifications, as well as a body of practical experience, substantiated through a portfolio providing documentary evidence in support of the specific RPL application. The relevant authority must endorse the assessment of all applicants for approval before registration.

    Entry Requirements:
    The minimum entry requirement for this qualification is:
  • Bachelor of Science, NQF, Level 7. 
    		•

    RECOGNISE PREVIOUS LEARNING? 
    Y 

    QUALIFICATION RULES 
    This qualification consists of the following compulsory and elective modules at National Qualifications Framework Level 8 totalling 120 Credits.

    Compulsory Module: 40 Credits.
  • Research Project, 40 Credits.

    Elective Modules: 80 Credits (Choose four).
  • Categorical Data Analysis, 20 Credits.
  • Time Series Analysis, 20 Credits.
  • Multivariate Analysis, 20 Credits.
  • Correspondence Analysis and Biplots, 20 Credits.
  • Stochastic Processes, 20 Credits.
  • Probability Theory, 20 Credits. 
    		•

    EXIT LEVEL OUTCOMES 
    1. Demonstrate knowledge and in-depth understanding of the concepts, theories, methods and techniques covered in the statistics.
    2. Apply the skills to identify, analyse and interpret complex statistical problems using appropriate techniques in statistics and other cognate disciplines.
    3. Make use of information to interpret statistical data.
    4. Work, communicate, predict and make appropriate decisions with researchers in a range of disciplines.
    5. Apply the knowledge of relevant computer software in statistical problem-solving and modelling. 

    ASSOCIATED ASSESSMENT CRITERIA 
    Associated Assessment Criteria for Exit Level Outcome 1:
  • Explain and illustrate statistical knowledge, concepts, theories and techniques.

    Associated Assessment Criteria for Exit Level Outcome 2:
  • Analyse and solve the statistical problems.
  • Interpret and manipulate statistical statements to prove key theoretical results.

    Associated Assessment Criteria for Exit Level Outcome 3:
  • Access, process, and manage relevant statistical data.

    Associated Assessment Criteria for Exit Level Outcome 4:
  • Demonstrate communication skills through means of report-writing, and presentations.
  • Make research decisions appropriately to relevant stakeholders.

    Associated Assessment Criteria for Exit Level Outcome 4:
  • Use appropriate statistical software to model and solve problems.

    Integrated Assessment:
    Formative and Summative Assessment:
    Each theory module comprises a continuous assessment component and a final examination. The final mark for a theory module consists of a mark from the continuous assessment and a mark for the final examination.

    Research Project (formative Assessment)
    A research paper (sometimes also called a treatise) constitutes the research component which must fulfil the requirements for obtaining an Honours qualification. It is a project of defined scope and limited length and is not required to be an original contribution to a particular field of knowledge, though it may be.

    Calculation of the final mark for the degree (Summative Assessment)
    The mark of each of the four theory modules will carry a weight of a credit value (16.66%). In total, the theory modules will form two-thirds (2/3) of the final mark. The mark for the research project will form one third (1/3) of the final mark. 
    		•

    INTERNATIONAL COMPARABILITY 
    This Bachelor of Science Honours qualification is comparable to other BSc (Hons) qualifications from around the world with regards to outcomes and assessment criteria, degree of difficulty and notional learning time.

    The University of Sydney offers a BScHons Statistics qualification with similar modules such as:
  • Stochastic Processes and Applications.
  • Time series.
  • Probability and Martingale Theory.
  • Research Project.
    (4 modules make up 50% of the year mark; 1 Project comprises 50% of year mark)

    The two modules: Categorical Data Analysis and Correspondence Analysis and Biplots, are not offered at the University of Sydney but provided in the South African qualification. However, the content does overlap to a certain extent, with regression. The module content focuses on applications that are relevant to categorical experimental data (such as data generated from surveys) and dimension reduction. 
    		•

    ARTICULATION OPTIONS 
    This qualification allows possibilities for horizontal and vertical articulation options.
    Vertical Articulation:
  • Master of Science in Statistics, NQF, Level 9.
  • Master of Science in Mathematical Statistics, NQF Level 9.

    Horizontal Articulation:
  • Bachelor of Science Honours, NQF Level 8. 
    		•

    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. University of Zululand 


    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.