Interviews will be conducted for all shortlisted applicants to assess their suitability and ability to complete the programme. In Singapore, a Masters degree is often a pre-requisite for PhD study but it also opens up a number of career options. An applicant must possess or expect to obtain an Honours degree (or a 4-year Bachelor’s degree) in a discipline with strong quantitative training such as mathematics, statistics, economic, finance, computer science, engineering, physical sciences, or equivalent degrees with strong mathematical background. © 2020 Singapore University of Social Sciences. By continuing to navigate through this site or by clicking “Approve”, you are consenting to the use of cookies on your device as described in our privacy policy. To apply for admissions to the NUS MSc in Data Science and Machine Learning programme, applicants should possess a bachelor (Hons) degree or a 4-year bachelor’s degree in quantitative science (mathematics, applied mathematics, computational mathematics, statistics and physics) or engineering or computer science. Job email alerts. 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. 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. Andrew Yap- Andrew Yap graduated from the National University of Singapore with a Master degree in Science (Mathematics) under the Accelerated Master Programme (AMP). Job Type Contract. Singapore is one of the most attractive countries for foreigners seeking highly-skilled work. Double Degree Programmes (Full Time) Students in the double degree programmes (DDP) are awarded with a degree certificate for each of the two programmes. Where would you like to study in Singapore? 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. If you read the maximum permitted study load every semester, you can complete a basic undergraduate degree programme in 3 years, or an honours degree in 4 years. The mathematics degree programme focuses on mathematical content which develops a rich and fascinating skill set that is widely applicable. The breakdown of the cu to be completed is: 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 history of the Department of Mathematics at NUS traces back to 1929, when science education began in Singapore with the opening of Raffles College with three students enrolled in Mathematics. We offer many undergraduate programmes covering exciting topics in Mathematics and its applications in economics, computing, business, and more. 4 institutions in Singapore | offering Bachelors Degrees Mathematics courses. A total of 170 cu is required to graduate with honours. 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. 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. All rights reserved. We offer many undergraduate programmes covering exciting topics in Mathematics and its applications in economics, computing, business, and more. is preferred. Online Math Degree Program Overview. Singapore Academy USA, LLC. Mathematics is a broad field, and a Master in Mathematics means you can take degrees in anything from Modeling, Financial Mathematics, and Computing to Logic and Statistics. 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. 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