Course Details

Specialist Diploma in Data Science (Vision & Language 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
120 training hours per semester. Lessons are conducted every Tue and Thu:

  • 6:30pm to 9:30pm (classroom training)
  • Asynchronous e-Learning* (you are not required to attend face-to-face classes)

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 in the Academic Calendar.

Enquiries

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

What You Will Learn

Build the next generation of AI with Vision, Language & Intelligence Systems

Computer Vision (CV) and Natural Language Processing (NLP) are powering the next wave of intelligent systems — from safety monitoring and document querying to cutting-edge multimodal generative models.

Through this Specialist Diploma in Data Science (Vision & Language Analytics), you will gain applied skills in AI-driven visual-textual analytics, enabling you to design and deploy real-world solutions using CV, NLP, and Generative AI. Shaped with industry input and aligned with modern AI engineering practices, grab this opportunity to build strong capabilities in end-to-end AI pipelines using tools such as PyTorch and HuggingFace.

Key Outcomes

  • Understand core concepts, applications, and task types in Computer Vision and Natural Language Processing
  • Pre-process and prepare visual and textual data for machine learning and deep learning workflows
  • Develop, train, and deploy AI models for CV tasks (e.g. image classification, detection) and NLP tasks (e.g. sentiment analysis, text generation)
  • Evaluate model performance and fine-tune AI models for improved accuracy and efficiency
  • Apply Generative AI techniques and build end-to-end AI solutions using industry-standard tools and frameworks

Designed For

  • Polytechnic or university graduates seeking to develop in-demand expertise and launch a career in AI application development
  • Technical professionals across industries (e.g., healthcare, security, manufacturing, legal services, and business analytics) looking to drive innovation and enhance business operations
  • Mid-career switchers aspiring to transition into high-growth AI engineering roles that design, build, and deploy AI-powered applications.

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 Visual and Textual Data Analytics- Practical Computer Vision*
- Practical Natural Language Processing*

Please click here for the Module Synopsis.

*With support from Intel, selected content from Intel® Digital Readiness Program material is included in the PDC2 modules as supplementary content to enhance the relevance of this course to the Industry and to better support learners in appreciation of the applicability of the concepts covered. 

Academic Progression and Pathways

Singapore Polytechnic

After graduating from this course, you may be eligible for PDC1 exemption if you 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. 

Singapore Institute of Technology

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 will also be eligible for credit exemptions from the following SMU Academy Industry Graduate Diploma (IGD) programmes:
  • Industry Graduate Diploma in Business Analytics for Data-Driven Decision Making with Python Programming
    • Basic Data Wrangling in Python
  • Industry Graduate Diploma in Python Programming and Machine Learning
    • Basic Data Wrangling in Python
    • Deep Learning and ML Mastery in Vision and Transfer Learning
  • Industry Graduate Diploma in Python Programming and Applied Data Analytics
    • Basic Data Wrangling in Python

Please click here for SMU Academy IGD details.

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