Master of Science in Mathematical Statistics
As indicated in the overall degree statement, with the focus on those skills and knowledge required in the discipline of Mathematical Statistics.
Source: SAQA official qualification record. Yiba Verified does not own the underlying qualification data shown on this page.
Qualification type
Master's 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
Nelson Mandela University
Quality assurance functionary
CHE - Council on Higher Education
Field
Field 10 - Physical, Mathematical, Computer and Life Sciences
Subfield
Physical Sciences
Qual class
Regular-Provider-ELOAC
Recognise previous learning
N
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
As indicated in the overall degree statement, with the focus on those skills and knowledge required in the discipline of Mathematical Statistics.
Entry requirements and RPL
Entrance Requirements
As indicated in the general form.
Structure and assessment
Qualification rules, exit outcomes, and assessment criteria from the SAQA record.
Exit level outcomes
Subject specific outcomes
Graduates of the programme will
- 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.
- 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.
- Be skilled in designing statistical models and analysing them using appropriate theory, and demonstrate practical technical skills including relatively advanced computer skills.
- Be capable of collaborative group work in the application of statistics and related fields to real-world problems.
- Have well-developed communication skills in written and spoken English, with emphasis on the expression of real-world statistical problems in mathematical terms.
- Use technology responsibly through regulated practice in the laboratories.
- 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
- A variety of thinking and learning skills, with emphasis on the application of Statistics to real-life situations.
- Participating in society as responsible statisticians; assisting other scientists with the statistical analysis of their data.
- Demonstrating cultural, social and environmental awareness, through, for example the imparting of statistical skills in society particularly to historically disadvantaged communities.
- Career opportunities in Statistics, through the tracking of job opportunities in the National press, placed on a notice board.
- 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
Progression and comparability
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.
Notes
As per the SAQA Board decision/s at that time, this qualification was Reregistered in 2009; 2012; 2015.
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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