Professional Diploma in Artificial Intelligence & Data Sciences

Offered by
SSM International Academy
An Official Learning Centre of Wilmington Metropolitan University, California, USA

The Professional Diploma in Artificial Intelligence & Data Sciences at SSM International Academy is a future-ready programme designed to equip learners with the technological skills and analytical mindset required in today’s data-driven world. As an official learning centre of Wilmington Metropolitan University, California, USA, we bring globally aligned academic standards and contemporary industry practices directly to our learners. Step into the world of intelligent technologies with a globally aligned, industry-focused diploma designed to build strong foundations in Artificial Intelligence and Data Science. This programme blends theory with practical, hands-on experience to prepare learners for high-demand careers in the digital innovation era.

“ AI is the language of the future—SSM International Academy helps you speak it fluently. ”

Programme Overview

This comprehensive diploma provides a strong foundation in the principles and applications of AI and Data Science. The curriculum integrates core theoretical knowledge with hands-on training to ensure students gain practical expertise in programming, analytics, machine learning, and advanced AI technologies. Each module is crafted to build proficiency step-by-step, enabling learners to confidently design, implement, and evaluate intelligent systems.

Vision

To become a leading provider of globally relevant AI and Data Science education, empowering learners with the knowledge, skills and mindset to innovate, solve real-world challenges, and contribute ethically to the advancement of intelligent technologies.

Mission

  • To deliver high-quality, industry-driven learning experiences that combine theoretical excellence with practical application.

  • To nurture analytical thinkers, creative problem-solvers and responsible AI practitioners.

  • To align our curriculum with global academic standards in partnership with Wilmington Metropolitan University, USA.

  • To support learners through mentorship, hands-on projects and career-focused development.

Objectives

The Professional Diploma aims to:

  • Build a strong foundation in programming, mathematics, and data analytics.

  • Develop learners’ capability to design, train and evaluate machine learning and AI models.

  • Equip students with practical skills in data handling, visualisation, and interpretation.

  • Introduce emerging AI technologies including deep learning, NLP and big data systems.

  • Promote responsible and ethical use of AI aligned with global standards.

  • Prepare graduates for entry-level roles in AI, Data Science and data-driven industries.

Key Learning Areas

  • Fundamentals of programming for AI & Data Science (Python-based workflows)

  • Applied statistics, probability and data analysis

  • Data collection, preparation, wrangling and visualisation

  • Machine learning models and predictive analytics

  • Deep learning, neural networks, NLP and computer vision basics

  • Introduction to big data tools and real-world AI applications

  • Ethical considerations, responsible AI, and data governance

  • Capstone project showcasing practical problem-solving skills

Who Should Enrol?

This diploma is ideal for:

  • Students and graduates aspiring to enter the technology and AI sectors

  • Working professionals looking to enhance or shift their careers toward data-driven roles

  • Individuals passionate about emerging technologies, automation and intelligent systems

Learning Outcomes

Technical Skills

  • Apply Python programming and statistical methods to analyse and interpret data.

  • Clean, transform and visualise datasets using industry tools and analytical frameworks.

  • Build, test and validate supervised and unsupervised machine learning models.

  • Develop deep learning solutions using neural networks and modern AI libraries.

  • Work with text data and implement basic NLP techniques for language-based tasks.

  • Understand and apply database concepts, both SQL and NoSQL.

  • Use structured processes to handle big data and create scalable analytical workflows.

Professional Skills

  • Demonstrate critical thinking and analytical problem-solving in real-world scenarios.

  • Communicate data-driven insights effectively through reports and visual presentations.

  • Collaborate on AI/DS projects, following industry-standard practices and documentation.

Ethics & Responsibility

  • Apply ethical principles and data governance standards in AI system design.

  • Recognize risks, biases and fairness issues in machine learning models.

  • Make responsible decisions that uphold privacy, transparency and accountability.

Career Readiness

  • Build a complete project portfolio showcasing technical competence and practical experience.

  • Qualify for roles such as Data Analyst, AI/ML Technician, Junior Data Scientist, BI Executive and more.

Career Opportunities

Graduates of this programme are prepared for a variety of fast-growing roles such as:

  • Data Analyst

  • Junior Data Scientist

  • Machine Learning Technician

  • Business Intelligence Executive

  • AI Solutions Developer (Entry Level)

  • Data Engineering Support Specialist

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