University of South Africa logoUniversity of South AfricaHigher Certificate

Higher Certificate in Mathematics and Statistics

College of Science, Engineering and Technology

DurationMaximum 3 yearsNQF level5APS/AS15Campuses2
Course overview

About this course

Higher Certificate in Mathematics and Statistics develops knowledge and practical capability in mathematical reasoning, statistical analysis and quantitative modelling. Students build analytical, communication and problem-solving skills through theory and applied learning. Exact modules and practical components vary by institution and study year.

Course content

What you may study

Calculus; algebra; statistics; probability; mathematical modelling; computing; data analysis; and applied quantitative problem-solving. Module names and sequencing must be confirmed in the institution's current curriculum.

Entry requirements

Required school subjects

MathematicsLevel 3 · 40%Your admission to Unisa is dependent on you meeting the specific admission requirements for your chosen qualification. A National Senior Certificate (NSC), with at least 30% in the language of teaching and learning and 40% in Mathematics or a Senior Certi
Meeting minimum requirements does not guarantee admission. Confirm programme-specific rules with the institution.
Admission

Other admission conditions

Your admission to Unisa is dependent on you meeting the specific admission requirements for your chosen qualification. A National Senior Certificate (NSC), with at least 30% in the language of teaching and learning and 40% in Mathematics or a
Senior Certificate, with at least 30% HG or 40% SG in the language of teaching and learning and 40% HG or 50% SG in Mathematics, or a National Certificate (Vocational) level 4, with at least 30% in the language of teaching and learning and 40%
in Mathematics in terms of the NSC. Click here for more information about Unisa's general admission requirements

Further study

Possible study paths

After completing this higher certificate, graduates may apply for a cognate diploma or bachelor's degree where articulation and admission rules allow. Honours or postgraduate study in mathematics, statistics, actuarial science, data science, analytics or a related quantitative field.

Career possibilities

Where this qualification may lead

Data analyst; statistician-in-training; quantitative analyst; actuarial analyst; research assistant; or mathematical modeller, depending on further training and professional requirements.

Study locations

Available campuses

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