Welcome To Pearl Academy Global
About Pearl Academy Global

Education grounded in inquiry and possibility

Pearl Academy Global brings learners and educators together to explore ideas, build knowledge and prepare for the opportunities ahead.

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University
Research areas

Research & Innovation

Explore questions, connect ideas across disciplines and put knowledge to work.

Applied Learning

Develop knowledge and skills through inquiry, practice and reflection.

Interdisciplinary Inquiry

Bring perspectives from different fields to complex questions and emerging challenges.

Research & Innovation

Cultivate curiosity, investigate ideas and explore responsible ways to put knowledge into practice.

Our Mission

Create an environment where learners can develop knowledge, confidence and the ability to apply what they learn.

Our Vision

A connected academic community that helps people turn curiosity into understanding and meaningful contribution.

Our Values

Curiosity, integrity, inclusion and a commitment to lifelong learning.

Academic structure

Our Faculties

Faculty of Artificial Intelligence

2 academic department(s)

Faculty of Artificial Intelligence and Data Science

0 academic department(s)

Faculty of Business & Analytics

3 academic department(s)

Faculty of Cloud & Data Engineering

1 academic department(s)

Faculty of Cybersecurity

1 academic department(s)

Faculty of Cybersecurity, Networking & IT

1 academic department(s)

Faculty of Data Science & AI

0 academic department(s)

Faculty of Data Science & Statistics

2 academic department(s)

Faculty of Digital Literacy and Connected Technologies

1 academic department(s)

Faculty of Information Technology and Computing

0 academic department(s)

Faculty of Networking and Infrastructure

1 academic department(s)

Faculty of Professional and Career Development

0 academic department(s)

Faculty of Software Development and Automation

1 academic department(s)

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Explore our departments

Discover the academic departments and disciplines represented at Pearl Academy Global.

AI, LLMs & Agents
Faculty of Artificial Intelligence

Explores generative AI, large language models, prompt engineering, RAG architectures, AI agents, and responsible AI deployment.

Artificial Intelligence
Faculty of Artificial Intelligence

Explores AI concepts and practical applications, including responsible use of modern AI tools.

BI, Analytics & Automation
Faculty of Business & Analytics

Teaches interactive dashboarding, business intelligence, spreadsheet modeling, and no-code/low-code workflow automation.

Business, Finance & Productivity
Faculty of Business & Analytics

Builds core competencies in financial analysis, data strategy, governance, and modern workplace productivity tools.

Cloud, DevOps & Software
Faculty of Software Development and Automation

Focuses on cloud platforms (AWS, Azure, GCP), containerization, CI/CD, web development, Java, C++, and software engineering.

Cybersecurity
Faculty of Cybersecurity

Trains learners in network security, ethical hacking, endpoint protection, threat management, and SOC defense analysis.

Data Engineering & Databases
Faculty of Cloud & Data Engineering

Covers SQL, relational and NoSQL databases, cloud data warehouses, ETL/ELT pipelines, and big data processing.

Digital Literacy & IT English
Faculty of Digital Literacy and Connected Technologies

Develops foundational digital skills, online safety awareness, and technical English communication for IT and business teams.

Entrepreneurship & Sustainability
Faculty of Business & Analytics

Covers business venture management, entrepreneurship, compelling reporting, and sustainable IT practices.

IT Support & Linux
Faculty of Networking and Infrastructure

Builds hands-on skills in computer hardware, operating systems, Linux administration, and IT customer support.

Networking & IoT
Faculty of Cybersecurity, Networking & IT

Covers networking fundamentals, CCNA/CCNP routing and switching, industrial networking, IoT, and Cisco Packet Tracer labs.

Python, Data Science & ML
Faculty of Data Science & Statistics

Covers Python programming, data manipulation, statistical inference, and machine learning algorithms for real-world predictive modeling.

R Programming & Statistics
Faculty of Data Science & Statistics

Focuses on statistical computing, data wrangling, visualization, and quantitative modeling in R and the Tidyverse.

Academic pathways

Explore our courses

Find a subject that sparks your interest in the academic catalog.

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Our community

Learn with our faculty

Meet educators who bring subject knowledge and academic experience to the learning community.

Pearl Academy
Professor

software

Artificial Intelligence