Qassim University

What you'll study

The programme combines rigorous theoretical mathematics with practical computational techniques. Core topics typically include advanced differential equations and dynamical systems, functional and real analysis, numerical analysis and scientific computing, mathematical modelling and simulation, optimisation methods, and probability and statistics for applied problems. Students also study specialised subjects such as partial differential equations, numerical linear algebra, inverse problems and computational methods for engineering or physical sciences, depending on elective choices.

Teaching is delivered through a mix of lectures, seminars, computer-based laboratories and supervised research. The degree normally requires completion of advanced coursework followed by an independent research project or thesis that applies mathematical methods to a concrete problem in science, engineering, finance, or technology.

Entry requirements

Applicants are normally expected to hold a recognised bachelor’s degree in mathematics, applied mathematics, statistics, engineering, physics or a closely related discipline. Suitable preparation in core undergraduate mathematics (calculus, linear algebra, differential equations) is required. Admission typically considers academic transcripts, a statement of purpose outlining the applicant’s research interests, and references from academic or professional referees. Where applicable, candidates may be asked to attend an interview or provide evidence of sufficient mathematical background through assessment. Proficiency in English is expected since much of the coursework and scientific literature is in English; specific evidence may be required according to university policy.

Career prospects

Graduates of the MSc in Applied Mathematics pursue a wide range of careers that value quantitative and modelling expertise. Common pathways include doctoral study and academic research, roles in data science and analytics, quantitative modelling in finance and insurance, algorithm and software development, computational engineering in energy and manufacturing, telecommunications and signal processing, and positions within government research organisations and consultancy firms. The numerical and modelling skills acquired are also sought after in technology start-ups and R&D departments of industrial companies.

Why study at Qassim University

Qassim University offers the programme within a regional university setting that combines established academic departments with growing research activity. Students benefit from access to experienced faculty in the mathematical sciences, computer laboratories for numerical and simulation work, and opportunities to collaborate with other faculties such as engineering and physics on interdisciplinary projects. The university’s services for postgraduate students include supervision support, thesis preparation guidance and access to regional networks that can help with placements and applied research collaborations.