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BSc Mathematics

Offers graduates a rigorous and broad foundation with emphasis in applied mathematics and statistics.

BSc Mathematics


The Singapore University of Social Sciences mathematics programme offers graduates a rigorous and broad foundation with emphasis in applied mathematics and statistics.

The programme is taught by faculty with globally recognised qualifications and extensive teaching experience.

Mathematics as the most fundamental discipline is so pervasive that it is inherent in almost every aspect of academia and modern industry applications: statistical analysis in Actuarial Science, optimization and statistics in Artificial Intelligence and Analytics, cryptography in Cybersecurity, mathematical modelling in Engineering, quantitative analysis in finance, statistical analysis in the Humanities and Behavioural Sciences, optimization in Logistics and Supply Chain.

After completing the compulsory courses the programme allows graduates to explore in greater depth via a range of elective courses that includes diverse topics such as coding theory, cryptography, experimental design, financial mathematics, graph theory, regression analysis, probability and statistics, stochastic processes.

As all foundational mathematics is re-examined and reviewed within the compulsory core level 1 mathematics courses, anyone who meets the general university entry requirement with an interest in learning mathematics can join the programme. In particular, an A-level pass in mathematics is NOT required for joining the programme.

Financial Assistance

There are also various types of financial aid available to students who need financial assistance. Please click here for more details.

Programme Structure

BSc Mathematics

To graduate with a basic degree, students are required to complete a total of 130 credit units (cu) of courses, inclusive of 10 cu of SUSS core courses.

The breakdown of the cu to be completed is:

  • 70 cu of Compulsory courses;
  • 50 cu of Elective courses; and
  • 10 cu of SUSS Core courses.

BSc (Hons) Mathematics

This programme has an honours option. Students who achieve a CGPA of 3.5 and above upon completion of their basic degree will be invited to enroll in the Honours programme. A total of 170 cu is required to graduate with honours.

The breakdown of the cu to be completed is:

  • 70 cu of Compulsory courses from basic degree programme.
  • 5 cu Compulsory course MTH301 Fundamentals of Complex Analysis
  • 5 cu Compulsory course MTH302 Applied Complex Analysis
  • 10 cu Compulsory Capstone Project.
  • 50 cu Elective courses from basic degree programme.
  • 20 cu Elective courses.
  • 10 cu SUSS Core courses.

The curriculum is structured such that:

  • Level 1 courses consist of a basic suite of four courses which covers all aspects of foundational mathematics and basic calculus.
  • Level 2 courses consist of a set of core courses in linear algebra and real analysis, multivariable calculus, advanced calculus, differential equations that will prepare students for more advanced mathematics courses, together with a number of elective courses in financial mathematics, Python programming, data structures and algorithms, statistical inference.
  • Level 3 courses consist of a collection of advanced elective courses such as coding theory, cryptography, complex analysis, experimental design, graph theory, optimization, regression analysis, stochastic processes where students can choose courses to suit their own interests and abilities.
Module Types
10 Credit Units
70 Credit Units
50 Credit Units

The mathematics degree programme focuses on mathematical content which develops a rich and fascinating skill set that is widely applicable.

The Mathematics programme seeks to impart graduates with strong analytical and problem solving skills that can be applied in many diverse areas such as actuarial science, analytics, artificial intelligence, computing, finance, logistics, mangement and meteorology.

A Singapore University of Social Sciences mathematics degree is the ideal first degree. It prepares you with strong quantitative/analytic and problem solving skills which are highly sought after in many diverse fields including actuarial science, data science, education, finance, IT, logistics, management, meteorology and research.

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