Specialist Diploma in Big Data Management

This course aims to bridge and enhance the knowledge and skillsets of participants to enable them to enter the field of Big Data Management. Big Data Management is the discipline that concerns itself with the organisation, administration and governance of large volumes of both structured and unstructured data. The goal of big data management is to ensure a high level of data quality and accessibility for business intelligence and big data analytics applications further downstream in the value chain. Effective big data management helps companies locate valuable information in large sets of unstructured data and semi-structured data from a variety of sources, including call detail records, system logs and social media sites.

On completion of the course, graduates will be able to:

  • apply appropriate methods and tools to acquire and manage large data sets from various sources;
  • apply appropriate methods and tools to visualize big data;
  • manage big data projects.

Target Participants
The intended target is at diploma graduates and Professionals, Managers and Executives (PMEs) who are keen to enter the field of Big Data Management.

 Course Information

Course Date:

14 October 2019

Course Duration:

Part-Time / 1 year

This course consists of 2 Post-Diploma Certificates (PDC)

Course Frequency:

Once a week, 7pm to 10pm on weekdays

Application Period:

29 April 2019 - 30 June 2019

 Course Fees

Course Fee Per Post-Diploma Certificate

Workfare Training Scheme (WTS)1 


SME-sponsored Singapore Citizens


Singapore Citizens aged 40 & above


Singapore Citizens aged below 40


Singapore Permanent Residents


Others & Repeat Students


For more details, please click here.

(nett fee payable inclusive of GST)
1Please refer to www.workfare.sg for more information on WTS
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.

 Career Opportunities

Graduates can expect good employment prospects across many industries such as government, financial and banking institutions and consulting firms as Big Data Specialist / Engineer, Big Data Operations Specialists, Big Data Technical Support Specialist, Big Data Application Developer, Big Data Hadoop/ QA Tester.

Graduates can also look towards upgrading their knowledge and skills in further Continuing Education and Training (CET) and executive programmes offered by local Institutes of Higher Learning such as the National University of Singapore (NUS) Strategic Technology Management Institute which offers many National Infocomm Competency Framework (NICF) certified executive courses in Big Data or Business Analytics.

 Contact Us


Temasek SkillsFuture Academy 
(East Wing Block 1A, Level 3, Unit 81)

What You Will Learn

Post-Diploma Certificate in Big Data Systems Management

Subject code Subject LevelCredit Units

This subject introduces students to the emerging data architectures driven by “Big Data” adoption. This subject will cover new paradigms of data systems within the realm of "Big Data," which evolved from Google, LinkedIn, and Facebook. The student will be exposed to the concepts and techniques that have driven Big Data adoption and compare these with traditional data store architectures such as structured databases and data warehouses. Emerging data architectures such as real- time and complex event processing tools will also be covered.


This subject covers data security as a quality control discipline for assessing, managing, using, improving, monitoring, maintaining, and protecting organisational information. The student will learn about concepts such as data security & access, data protection, data policies, business process management, and risk management surrounding the handling of data in an organisation.

Post-Diploma Certificate in Big Data Applications Development

Subject code Subject LevelCredit Units

This subject aims to equip students with the knowledge and skills of presenting analysed data using analytics software applications. This subject covers graphing fundamentals, graphing properties and building dashboard for reporting purposes using relevant statistical modeling and analysis techniques. Topics covered also include the preparation and presentation of reports on data analysis to support managerial decision-making.


This subject equips students with the knowledge and skills to program a data management application to manage big data. The subject will cover commonly used scripting languages (such as python) and how it can be used for big data collection and processing. Other languages for data integration and processing (such as R) will be covered as well.

Modes of Assessment

Coursework with no examinations.

Minimum Entry Requirements

 At least a polytechnic diploma (or equivalent) in a technology or IT-related course.

 Holders of other equivalent academic qualifications from foreign institutions will be considered on a case-by-case basis. 

Applicants who do not meet the entry requirements may be considered for admission to the course based on evidence of at least 5 years of relevant working experience or supporting evidence of competency readiness. Suitable applicants who are shortlisted may have to go through an interview and/or entrance test. The Polytechnic reserves the right to shortlist and admit applicants.

Apply Now

Application Procedures & Enquiries

Submit on-line application via: https://cetoas.tp.edu.sg/Account/Logon

Temasek SkillsFuture Academy
Temasek Polytechnic
(East Wing Block 1A, Level 3, Unit 81)
21 Tampines Ave 1
Singapore 529757

Opening Hours
8.30 am to 7.00 pm (Mon to Fri)
Closed on Sat, Sun & Public Holidays

Contact Details
Tel: 6788 1212
Email: tsa_acadcet@tp.edu.sg
URL: http://www.tp.edu.sg/tsa

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

Last updated 1 November 2017