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Bachelor of Science in Mathematical and Statistical Sciences | UWC

APS Required

points

Duration

3 year(s)

Type

Bachelor's Degree

Delivery

Full-time

Details

The Bachelor of Science in Mathematical and Statistical Sciences at UWC equips graduates with advanced quantitative skills applicable across South Africa's insurance, banking, data analytics, and research sectors. Students develop expertise in applied mathematics, statistics, econometrics, and actuarial science, positioning them for careers in South Africa's sophisticated financial services industry and growing data economy. UWC's programme benefits from strong industry links in Cape Town's financial district and the Western Cape's tech sector.

English Home Language or First Additional Language: 50% (Code 4)
Any other language: 40% (Code 3)
Mathematics: 60% (Code 5)
Physical Sciences or Life Sciences or Information Technology: 50% (Code 4)
UWC Points: 33

Admission requirements
SubjectMinimumRequirement
Mathematics60%Required
English Home Language or English First Additional Language50%Required
Afrikaans Home Language or Afrikaans First Additional Language40%Required
Physical Sciences or Life Sciences or Information Technology50%Required

Career Prospects

  1. Data Analyst/Statistician: Analyze and interpret data sets using statistical methods and techniques to identify trends, patterns, and insights, and make data-driven decisions in industries such as finance, marketing, healthcare, and government. Data analysts/statisticians collect, clean, and preprocess data, conduct statistical analyses, and communicate findings and recommendations to stakeholders to support business operations, research projects, and policy initiatives.
  2. Actuary: Assess and manage financial risks and uncertainties by applying mathematical and statistical models to analyze insurance and financial data, and develop pricing strategies, risk management policies, and investment strategies for insurance companies, pension funds, and financial institutions. Actuaries use mathematical models, probability theory, and statistical techniques to evaluate risks, forecast future events, and design financial products and services to meet client needs and regulatory requirements.
  3. Operations Research Analyst: Apply mathematical optimization techniques and operations research methods to solve complex decision-making problems and improve operational efficiency and performance in industries such as transportation, logistics, supply chain management, and manufacturing. Operations research analysts model decision problems, formulate optimization problems, and develop algorithms and computational methods to find optimal solutions and make informed decisions to optimize resource allocation, production scheduling, and system design.
  4. Financial Analyst: Evaluate financial data, analyze market trends, and assess investment opportunities using quantitative and statistical techniques to support investment decision-making, portfolio management, and risk assessment in the financial services industry. Financial analysts conduct financial modeling, risk analysis, and valuation assessments, and provide financial forecasts, investment recommendations, and investment strategies to investors, asset managers, and financial institutions.
  5. Biostatistician: Apply statistical methods and techniques to analyze biomedical and healthcare data, conduct clinical trials, and evaluate healthcare outcomes and interventions in areas such as epidemiology, public health, and medical research. Biostatisticians design clinical studies, analyze medical data, and interpret research findings to support evidence-based medicine, health policy development, and healthcare decision-making in academic institutions, research organizations, and healthcare agencies.
  6. Quantitative Analyst (Quant): Develop and implement mathematical models, algorithms, and computational methods to analyze financial markets, price derivatives, and manage investment portfolios for hedge funds, investment banks, and financial trading firms. Quants use mathematical finance, stochastic calculus, and statistical modeling techniques to develop trading strategies, optimize investment performance, and manage financial risk in dynamic and competitive financial markets.
  7. Research Scientist: Conduct scientific research and investigations in mathematical and statistical sciences, exploring fundamental questions, solving practical problems, and advancing knowledge and innovation in mathematical modeling, computational mathematics, and statistical theory. Research scientists design experiments, develop mathematical models, and analyze data, and publish research findings in scientific journals to contribute to scientific discoveries, technological advancements, and interdisciplinary collaborations in academia, industry, and government.
  8. Software Developer/Engineer: Develop and implement mathematical and statistical algorithms, computational methods, and data analysis tools to build software applications and platforms for data analysis, scientific computing, and mathematical modeling in industries such as software development, engineering, and research. Software developers/engineers design software architectures, write code, and test software systems, and provide technical support and software maintenance services to ensure the reliability, scalability, and performance of software applications in diverse computing environments.

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