The School of Mathematics & Science offers modules in mathematics, computing and science (physics) for students enrolled in the engineering, technology and business courses. These modules form an important part of the full-time curriculum.
A sound foundation in mathematics, science and computing together with proficiency in their applications, help students develop analytical, logical thinking, and problem solving skills. These provide an important foundation for students to achieve life-long learning in the future.
We also offer courses such as the Specialist Diploma in Data Science (Data Analytics) and Specialist Diploma in Data Science (Predictive Analytics) and other short courses to our graduates and the public.
- Polytechnic Foundation Programme (PFP)
This is a one-year practice-oriented curriculum offered to polytechnic-bound Normal (Academic) students for a seamless integration into the course of their choice in SP.
Click here to enter the PFP website.
MS offers the following one-year part-time courses that provide training in the increasingly important areas of data science and analytics.
Specialist Diploma in Data Science (Data Analytics) (NSDDA):
Data is ubiquitous in government and in industry sectors including banking, insurance, healthcare, telecommunications, manufacturing, and retail. This course provides graduates with fundamental skills in statistics and data mining that are required by jobs in these industries that involve working with data and extracting information that is useful to the business.
Click here to enter the NSDDA website.
Specialist Diploma in Data Science (Predictive Analytics) (NSDPA):
The need to handle, prepare, analyse and model data of varied structures is prevalent in the modern day industrial setting including industry sectors such as banking and finance, insurance, healthcare, telecommunications, design and manufacturing, and retail. This course provides graduates with fundamental skills in statistical analysis and predictive analytics that are required by jobs that involve managing, analysing and modelling data and extracting information that is useful to the business.
Click here to enter the NSDPA website.
MS offers a Certificate in Software Programming & Applications (PCSPA) course under the SP Diploma-Plus Programme. This course aims to provide engineering and business students with higher level skills in computer programming and software applications.
Click here to enter the PCSPA website.
Note: The PCSPA programme will not be offered with effect from AY2017. The programme will continue with its last cohort till AY2018.
MS also offers advanced programmes in Mathematics and Physics for Engineering and Info-Technology students. The training is to help the students build a solid foundation in mathematics to prepare them for further studies. The training will also develop their analytical, logical thinking and problem solving skills.
Click here for further information on the advanced programmes offered to engineering schools (ABE, CLS, EEE, MAE & SMA).
Bridging Mathematics for ITE Upgraders: This provides ITE upgraders who enrol into SP's engineering courses a structured bridging mathematics programme to strengthen their mathematics foundation to enable them to better cope with the demands of their respective Engineering course. Click here for further information.
MS offers the following short courses.
Preparatory Mathematics for University (PMU): This course aims to strengthen the foundation of polytechnic graduates in mathematics to prepare them for university education, particularly in the field of engineering and IT. It is also designed to bridge the gap between the calculus at the polytechnic diploma level and the calculus at the first year university level. Click here for further information.
Preparatory Physics for University (PPU): This course aims to strengthen the physics foundation of polytechnic graduates to prepare them for university education. Participants will receive the training needed to solve physics problems, building on their knowledge of mathematics and basic calculus. Click here for further information.
Fundamental Data Analysis using Excel 2016: This fundamental data analysis course by the School of Mathematics & Science is designed to equip you with relevant Excel skills for the purpose of analysing data in business applications. Click here for further information.
A sound foundation in mathematics, science and computing together with proficiency in their applications is indispensable for engineering and business studies.