Course Details

Specialist Diploma in Data Science (Data Analytics)

Overview

  • Course Date:

    19 Oct 2026 to 30 Sep 2027

  • Registration Period:

    2 Jun 2026 to 31 Aug 2026

  • Duration/Frequency:

    2 evenings per week, 6.30pm-9.30pm

  • Mode of Training:

    Face-to-Face (Classroom Teaching), E-Learning (Asynchronous)

Class Schedule
Tue, Thu evenings, 6:30pm - 9:30pm

Modules in this course conduct in-class tests, typically in the last week of each 7-week or 8-week term in the SP academic calendar. Attendance at these tests are compulsory. You are strongly advised against scheduling any travel plans during mid-semestral (MST) or end-semestral (EST) weeks. Detailed information regarding test schedules can be found on the website.

Course Duration

240 hours (1 year)

Please refer to the Academic Calendar.

Enquiries
For enquiries, please email to ptenquiry@sp.edu.sg. 

What You Will Learn

Build in-demand data analytics skills for the digital economy!

Data Analysts are among Singapore’s most in-demand professionals as organisations across healthcare, finance, manufacturing, telecommunications, retail, and the public sector increasingly rely on data-driven decision-making.

Through this Specialist Diploma in Data Science (Data Analytics), you will gain strong foundations in statistics, python programming, data mining, and applied analytics to transform raw data into meaningful business insights. With hands-on training in industry-relevant analytics techniques and tools, learn to support data teams and embark on a strong pathway towards advanced studies in data science and AI.

Key Outcomes
  • Apply statistics and programming fundamentals for data science and analytics
  • Prepare, analyse, and visualise data to support business and operational decisions
  • Perform statistical analysis on univariate and multivariate datasets
  • Develop and apply predictive models using data mining techniques
  • Use descriptive and applied statistical methods to uncover trends, patterns, and actionable insights

Designed For
  • Polytechnic or university graduates who recognise the growing importance of data expertise in today’s digital economy
  • Engineers, IT professionals and analysts looking to strengthen their statistical and analytical capabilities
  • Working professionals across industries (e.g. finance, healthcare, retail, manufacturing) who want to make better data-driven decisions
  • Mid-career switchers aiming to transition into high-demand data-related roles

More Information

This is a 1-year part-time course consisting of 2 Post-Diploma Certificates conducted over 2 semesters.

Post-Diploma CertificateKey Modules
PDC 1 - Post-Diploma Certificate in Fundamentals of Data Science- Introduction to Statistics for Data Science
- Introduction to Programming for Data Science
PDC 2 - Post-Diploma Certificate in Data Analytics- Data Mining Techniques
- Applied Statistical Methods

Please click here for the Module Synopsis.

Academic Progression and Pathways

Singapore Polytechnic

Participants who have graduated from this course may be eligible for PDC1 exemption if they plan to register for another Specialist Diploma in Data Science: 

Please note exemptions are evaluated on a case-by-case basis. Interested participants may email ptenquiry@sp.edu.sg. Our team will get in touch to address your queries and guide you through a separate application process.

Republic Polytechnic

Unlock greater flexibility and value through our cross-recognition partnership with Republic Polytechnic. 

By completing the Data Mining Techniques module from SP's Specialist Diploma in Data Science (Data Analytics), you will be exempted from the Predictive Analytics with Machine Learning module in RP's Specialist Diploma in Business Analytics.

    Local Universities 

    Upon completion of the Specialist Diploma, you may also receive:

    Singapore Institute of Technology 

    Upon completion of this Specialist Diploma, you will also be eligible for credit exemptions from the following SIT modules under the Bachelor of Science (Honours) in Applied Computing [CSM Pathway]:

    • ICT1507C Programming Fundamentals in Python
    • ICT1508C Applied Statistics

    Singapore Management University

    You may be eligible for credit exemption towards the following SMU Academy Industry Graduate Diploma (IGD) programme:
    • Industry Graduate Diploma in Business Analytics for Data-Driven Decision Making with Python Programming
      • Basic Data Wrangling in Python
    Please click here for SMU Academy IGD details.

    Hear From Our Participants

    NSDDA

    For more information on the course, click on the “Register” button. 

     

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    Last updated: 11 June 2025

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