Big data and analytics remain a key strategy for Singapore and there is high demand for manpower in this area. The Specialist Diploma in Big Data & Analytics is a one year SkillsFuture Work-Study Post-Diploma Programme targeted primarily at diploma graduates who want to deepen their skills in big data and analytics. Designed to give you a head-start in your career, the programme allows you to secure full-time employment with industry leaders, tapping on structured on-the-job and institution-based training to deepen your skills and knowledge in this area. 

Due to the high demand for trained personnel in the area of big data and analytics, you can expect to have attractive salaries upon completion of the programme. Moreover, as this area is still evolving, there will be many opportunities for you to further upgrade and deepen your skills in your career.

Target Participants

Singaporeans or Singapore Permanent Residents who are fresh Polytechnic graduates from relevant full-time IT/technology-related courses of study.

Please see Eligibility Criteria for more information.

Career Opportunities

Graduates can look forward to taking up the following types of positions:

  • Data Engineer1
  • Data Analyst1

Graduates of this course can look forward to a role expansion in their workplace. They can also look forward to upgrading their knowledge and skills through further Continuous Education Training (CET) and executive programmes offered by local Institutes of Higher Learning, like Singapore University of Social Sciences and Singapore Institute of Technology.

Academic Progression 

Graduates of this programme may enjoy credit recognition if they undertake the Bachelor of Science in Business Analytics offered by the Singapore University of Social Sciences, subject to meeting the entry requirements of the institution. 

1 Job titles may vary across companies

Course Details

Course Commencement

Every April and/or October

Course Duration

Participants will undergo a 12-month structured training programme, including facilitated learning and On-The-Job Training(OJT).

Application Period

Application is on-going. 

Course Structure

Upon completion of the Specialist Diploma course, graduates should be able to:

  • manage big data using big data management systems;
  • apply techniques to analyse and visualise streaming data;
  • apply quantitative techniques for decision-making and resource planning;
  • analyse, format and display data in an elegant, informative and interactive way;
  • apply various data mining and machine learning techniques. 

Participants will be awarded the Specialist Diploma in Big Data & Analytics upon successful completion of the following:

  • Post-Diploma Certificate in Big Data Technologies
  • Post-Diploma Certificate in Data Analytics

Post-Diploma Certificate in Big Data Technologies

Subject code Subject

This subject covers various types of highly distributed and scalable systems that are used for storing and processing Big Data. Students will have hands-on experience using the various Big Data Management Systems. Topics covered include MapReduce implementations such as Hadoop and its ecosystem, NoSQL data stores such as Hbase and MongoDB, and NewSQL database systems such as VoltDB.


This subject covers the techniques to analyse and visualise streaming data in real-time. Streaming data is data that is always available, often loosely structured and has high-cardinality dimensions. Topics covered include real-time streaming architecture, stream analysis and processing, and visualisation of streaming data.

Post-Diploma Certificate in Data Analytics

Subject code Subject

This subject introduces students to the quantitative techniques commonly used for decision-making and resource planning. Topics covered include Linear Programming, Forecasting, Decision Analysis and Simulation Modeling.


This subject covers various data mining and machine learning techniques and how to employ these techniques in the context of popular applications such as recommender systems, searching, text analytics and social media analytics. Topics covered include supervised algorithms such as rule induction, decision trees and neural network and unsupervised machine learning algorithms such as k-means clustering and self-organized maps.


This subject aims to equip students with the knowledge and skills to analyse, format and display data in an elegant, informative and interactive way. Topics covered include Techniques for Data Visualisation, Dashboard Design, Spatial Information Visualisation, Time Series Visualisation.

Modes of Assessment

Case Study Assignments


Written Tests

Course Fees


PDC in Big Data Technologies

 PDC in Data Analytics

SME-employed Singapore Citizens aged below 40



Singapore Citizens aged below 40



Singapore Permanent Residents



Others & Repeat Students



(nett fee payable inclusive of GST)

MOE subsidy will not be applicable for students who repeat a module or semester.

Fees payable is based on per PDC.

The course fees will be reviewed by MOE on an annual basis and adjusted accordingly.

Eligibility Criteria

Singaporeans or Singapore Permanent Residents who are within three years of either graduation from the polytechnics or the Operationally Ready Date (ORD) for National Servicemen from relevant full-time IT/technology-related courses of study are eligible to apply.

Eligibility Criteria for Sign-on Incentive

Only for Singapore Citizens who are fresh ITE or Polytechnic graduates hired by participating companies and officially commenced the Work-Study Diploma programme within 3 years of graduation or ORD.

Apply Now

Please submit your application through the link below.

Please submit the following documents during your submission. Kindly name the files according to the guidelines below. 

1. Resume (filename: Resume-YourName.pdf)
2. Colour-scanned, front & back of NRIC (filename: NRIC-YourName.pdf)
3. Highest Qualification Certificate (filename: Certificates-YourName.pdf)
4. Academic Transcripts (filename: Transcripts-YourName.pdf)
5. NS Completion Certificate, if applicable (filename: NS Certificate-YourName.pdf)

Please note that relevant documents will be forwarded to all participating companies for their selection.

Selection of applicants is at the discretion of the participating companies and participating companies will contact their shortlisted applicants for interview. Applicants have the right to reject the interview if they do not wish to be employed by the company who contacted them.

Only applicants who are successfully hired and placed on the programme by the participating companies will be invited to submit an online application for the Work-Study Post-Diploma Courses.


Companies who are interested to find out how this programme can support your organisation’s talent development plan may contact the following personnel for more information:

Mr Tan Ban Soon | 6780 5138 | TAN_Ban_Soon@TP.EDU.SG

Temasek Polytechnic reserves the right to alter the course, modify the scale of fee, amend any other information or cancel course with low enrolment.

Hear from our students

Getting valuable experience through the SkillsFuture Work-Study Programme

Li Wen graduated from the School of Informatics & IT with a Diploma in Business Intelligence & Analytics in 2016, but her learning didn’t stop there. When she learnt about the Specialist Diploma in Big Data & Analytics under the SkillsFuture Work-Study Programme, Li Wen embarked on the course because she wanted to experience what it was like working in the area of analytics. 

Li Wen got a job at NCS Pte Ltd as an Application Consultant in June 2016, then started on her programme. Li Wen’s work at NCS involves doing research and development work, as well as analysing the compatibility of different tools (e.g. R and Qliksense). She also has to delve into her area of training – big data and creating dashboards. Li Wen is thankful that her supervisor at NCS adjusts her work schedule and provides her with time off to study. 

Having gone through the programme, Li Wen firmly believes that the programme gives polytechnic graduates the necessary work experience and helps them to be surer about the next steps in their career. 

In May 2017, Li Wen graduated with a Specialist Diploma in Big Data & Analytics (with Merit). Because of the programme and her work experience at NCS, Li Wen is now more certain about her career choice. She is pursuing the Bachelor of Science in Business Analytics at the Singapore University of Social Sciences.