Qassim University

What you'll study

The programme provides a solid grounding in probability, statistical theory and practical data analysis, blending theoretical courses with applied modules and computing. Early years concentrate on calculus, linear algebra and introductory statistics; later years cover probability theory, statistical inference, regression and multivariate methods. Practical and computing topics are emphasised, including statistical programming, data management and applied modelling.

• Core mathematical foundations: calculus, linear algebra, discrete mathematics
• Statistical theory: probability theory, mathematical statistics, estimation and hypothesis testing
• Applied statistics: regression analysis, time series, multivariate analysis, experimental design
• Computing and data skills: statistical software (e.g. R, Python, SAS), database fundamentals, data visualisation
• Specialist and elective modules: survival analysis, nonparametric methods, survey sampling, Bayesian statistics, quality control
• Project and research training: an independent final-year project or dissertation applying statistical methods to a real dataset or research question

Entry requirements

Applicants are normally expected to hold a recognised secondary school certificate with strong performance in mathematics. Specific faculty or department entrance criteria may include satisfactory results in relevant subjects and successful completion of any university entrance examinations or interviews where required.

• Academic background: secondary school certificate with high achievement in mathematics; science or mathematics track recommended
• Language proficiency: competence in the language of instruction is required; students may need to demonstrate proficiency in English for certain modules or assessments
• Additional screening: some applicants may be required to sit departmental tests or attend interviews to assess quantitative readiness

Career prospects

Graduates acquire transferable analytical and computational skills that are in demand across multiple sectors. Career paths include roles in government statistics agencies, finance, insurance, healthcare, market research and information technology. Many alumni also move into specialised areas such as biostatistics, actuarial work, data science or pursue postgraduate study and research.

• Statistician or data analyst in public and private sectors
• Business intelligence or market research analyst
• Actuarial trainee or risk analyst (with additional professional qualifying exams)
• Biostatistician or epidemiological analyst in healthcare settings
• Further study: master's or doctoral programmes in statistics, data science, econometrics or applied mathematics

Why study at Qassim University

Qassim University offers a comprehensive undergraduate statistics programme delivered by faculty with expertise in both theoretical and applied statistics. Students benefit from access to computing facilities, laboratory support and opportunities for applied projects with public and private organisations in the region. The programme emphasises practical experience and graduate readiness through coursework, software training and a final-year research project.

The university's regional links and its emphasis on blending mathematical rigour with practical data skills make it a suitable choice for students seeking careers that rely on quantitative analysis and evidence-based decision-making.