Phillip Crafford - Belgium Campus iTversity

Computer displaying an AI-powered digital network with connected data nodes, illustrating machine learning, artificial intelligence and information technology systems.

Do You Need Maths to Study IT?

Choosing between Computer Science and Information Technology can be challenging because both fields offer exciting opportunities in the technology sector. While Computer Science focuses on programming, software development, algorithms, artificial intelligence, and creating modern technologies, Information Technology centres on implementing, managing, securing, and maintaining technology systems within organisations. Both qualifications develop valuable technical and problem-solving skills and can lead to high-demand careers in areas such as software development, cybersecurity, cloud computing, data science, and IT infrastructure. The best choice depends on whether a student is more interested in creating technology solutions or managing and optimising the systems that businesses rely on every day.

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Computer Science versus Information Technology: What’s the Difference?

Articles / Phillip Crafford

Computer Science versus Information Technology: What’s the Difference? Read More »

Human and AI robot face-to-face, illustrating the connection and differences between artificial intelligence, machine learning and human intelligence.

Artificial Intelligence versus Machine Learning: What’s the Difference?

Articles / Phillip Crafford

Artificial intelligence (AI) and machine learning (ML) are closely related technologies, but they are not the same. AI is the broader field focused on creating systems that can perform tasks requiring human intelligence, while machine learning is a subset of AI that enables systems to learn from data and improve over time. This article explores the key differences between AI and ML, how each technology works, their real-world applications, and the growing career opportunities they are creating across industries. Understanding both fields is becoming increasingly important as organisations embrace intelligent technologies to drive innovation, efficiency, and digital transformation.

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Digital brain on a circuit board representing artificial intelligence and machine learning technology.

What Is Machine Learning and How Does It Work?

Articles / Phillip Crafford

Machine learning is a branch of artificial intelligence that enables computers to learn from data, identify patterns, and make predictions without being explicitly programmed for every task. The article explains how machine learning works through data collection, preparation, model training, testing, and deployment. It also explores the three main types of machine learning: supervised, unsupervised, and reinforcement learning. From healthcare and finance to cybersecurity and transport, machine learning powers many technologies used every day. As organisations increasingly rely on automation and data-driven decision-making, machine learning is becoming one of the most valuable and in-demand skills in the technology industry.

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Blue digital circuit board design with glowing binary code and connected lines.

Coding Courses: What Should Beginners Look for Before Enrolling?

Articles / Phillip Crafford

Coding courses teach beginners how to write instructions that computers can understand, but the best learning goes beyond syntax. Students should develop programming fundamentals, logical thinking, problem-solving, and practical skills that can help them adapt as technology and AI evolve. Before choosing a course, prospective students should consider the qualification, curriculum, practical learning opportunities, and broader IT knowledge they will gain.

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Robotic hand and human hand reaching towards each other against a light grey background, symbolising collaboration between people and artificial intelligence.

Artificial Intelligence Course: What Should You Actually Learn in an AI-Driven World?

Articles / Phillip Crafford

An artificial intelligence course should teach more than how to use AI tools. Students need to develop foundational knowledge in computing, data, problem-solving, software development and machine learning while understanding how artificial intelligence is applied in real-world environments. At Belgium Campus iTversity, AI-related skills form part of broader technology qualifications that help students develop both technical expertise and the ability to adapt as technology evolves.

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Locked out of classroom, locked out of tech

News Articles / Phillip Crafford

Only three schools for South Africa’s Deaf learners teach maths, writes Edward van Niekerk, vocational programme coordinator at Belgium Campus iTversity.

Children as young as 13 must make subject choices that can shape what they study later and, ultimately, the careers open to them. It’s a big decision for such young learners, who may well change their minds multiple times before finishing school.

For Deaf learners, that decision is substantially more difficult because not every school offers the subject they wish to study, which can cut them off from several career choices.

This has a broader impact because Deaf learners may be cut off from fields desperately short of skills, including artificial intelligence, cyber security and software development.

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Two green humanoid robots pulling a pink rope behind prison bars in a grey cell, with blue sky visible through a small window.

Rogue AI agents spark calls for jail time

News Articles / Phillip Crafford

As increasingly autonomous AI systems begin causing real-world problems, companies are racing to put safeguards in place amid calls for tougher regulation – and even jail time.

The Vienna Agentic Incidents Database has recorded 30 incidents involving autonomous AI agents, including unauthorised file and database deletions, cyber intrusions, financial transactions and agents interfering with shutdown controls, since 2022.

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Hands typing on a computer keyboard, overlaid with digital screens displaying code, graphs, data and world maps, representing software development and data technology.

Software Development Course: What Should You Learn for the Future?

Articles / Phillip Crafford

A software development course should teach more than how to write code. It should develop programming fundamentals, problem-solving, software design, testing, and practical development skills while helping students understand emerging technologies such as artificial intelligence. At Belgium Campus iTversity, Software Development forms part of the Bachelor of Information Technology and Diploma in Information Technology study pathways.

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Programming course concept showing computer code on a digital screen being operated by touch

Programming Course in the Age of AI: What Should You Actually Learn?

Articles / Phillip Crafford

A programming course should teach more than coding syntax. Students need to develop programming fundamentals, logical and computational thinking, problem-solving abilities and an understanding of how software is designed and developed. As AI becomes increasingly relevant to technology, programming education should help students develop the foundational knowledge needed to understand, evaluate and work with evolving digital tools. At Belgium Campus iTversity, programming forms part of broader IT qualifications and is available as a specialisation within the Diploma in Information Technology.

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