University of Sharjah

What you'll study

The programme combines advanced theory with computational practice. Core topics typically include advanced real and complex analysis, functional analysis, ordinary and partial differential equations, and numerical analysis. Applied and elective modules commonly cover mathematical modelling, scientific computing, numerical linear algebra, optimisation and control theory, stochastic processes and probability, and data‑driven methods such as numerical methods for inverse problems and computational statistics.

Teaching methods include lectures, problem classes, computational labs and a substantial independent research project or dissertation supervised by faculty. Students gain hands‑on experience with software and tools used in applied mathematics, such as MATLAB, Python (NumPy/SciPy), and specialised numerical libraries, and learn to formulate, analyse and implement models for applications in engineering, physical sciences, finance and industry.

Entry requirements

• A recognised bachelor’s degree in mathematics, applied mathematics, statistics, physics, engineering or a closely related quantitative discipline with a strong academic record.
• Demonstrable competence in core undergraduate mathematics (calculus, linear algebra, differential equations); some programmes may expect prior exposure to analysis and numerical methods.
• Proof of English language proficiency if the applicant’s previous degree was not taught in English (standard tests such as IELTS or TOEFL are commonly accepted).
• Application materials that may be requested include transcripts, a statement of purpose outlining research interests, and at least one academic reference. Relevant work experience or programming skills can strengthen an application.

Career prospects

Graduates are equipped for a range of careers where advanced quantitative and computational skills are required. Common pathways include roles in data science and analytics, quantitative modelling in finance and risk, numerical simulation and modelling for engineering and energy sectors, software development for scientific computing, and technical roles in telecommunications and manufacturing.

The degree also prepares students for research and academic careers, including progression to PhD programmes. In the UAE and the wider Gulf region, employers in government research centres, oil & gas companies, utilities, and technology firms actively recruit mathematicians for modelling, optimisation and decision‑support roles.

Why study at University of Sharjah

• Regional research environment: The university hosts active research groups in applied mathematics and computational science, offering supervision and project opportunities aligned with regional industry needs.
• Interdisciplinary collaboration: Proximity to engineering, physics and computer science departments enables interdisciplinary projects and access to specialised laboratories and computing resources.
• Practical training: The programme emphasises computational implementation and applied projects, giving students experience with industry‑relevant tools and problem solving.
• Location and networks: Situated in the UAE, the university provides access to regional industry partners and government research organisations, supporting internships and professional links.