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IT Education

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Do You Need Maths to Study IT?

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Many prospective students worry that their mathematics marks may prevent them from pursuing a career in technology. The good news is that while maths plays a key role in Information Technology (IT), you do not need to be a mathematical expert to succeed. Different IT specialisations require various levels of mathematics, with fields such as data science, artificial intelligence, and machine learning relying more heavily on mathematical concepts than areas such as IT support, networking, and systems administration. Success in IT often depends more on logical thinking, problem-solving skills, curiosity, and a willingness to learn than advanced mathematical ability. Understanding how maths is used in technology can help students choose a study path that aligns with their interests and career goals.

Do You Need Maths to Study IT? Read More »

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

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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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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?

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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.

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

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What Is Machine Learning and How Does It Work?

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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.

What Is Machine Learning and How Does It Work? Read More »

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Coding Courses: What Should Beginners Look for Before Enrolling?

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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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Locked out of classroom, locked out of tech

News Articles /

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.

Locked out of classroom, locked out of tech Read More »

“Person using a laptop in a blue-lit server room surrounded by computer equipment and illuminated server racks.”

Choosing an IT Degree in South Africa: Building Skills for More Than One Career

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An IT degree can suit more than people who already know how to code. It can appeal to curious problem-solvers, analytical thinkers and people who want to use technology to create practical solutions. Choosing the right degree means considering your interests, how you like to solve problems and the areas of technology you would like to explore. Belgium Campus iTversity offers degree pathways including the Bachelor of Information Technology and Bachelor of Computing, with opportunities to study areas such as software development, software engineering, and data science.

Choosing an IT Degree in South Africa: Building Skills for More Than One Career Read More »

Cybersecurity concept showing a glowing digital globe with security lock icons inside a server room, symbolising network security, data protection, cyber defence and global information security.

From Ethical Hacking to Risk Management: How to Choose the Right Cybersecurity Course in South Africa

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A cybersecurity course can prepare students to protect the systems, software, networks and data modern organisations depend on, but cybersecurity extends well beyond ethical hacking. The field includes network and cloud security, secure software development, vulnerability assessment, incident response, governance, risk and compliance. In South Africa, demand for specialised cybersecurity skills is significant, with a 2024 CSIR survey reporting that 63% of surveyed cybersecurity positions were partially or fully unfilled. For prospective students, the right pathway depends on their existing IT knowledge, preferred type of work and longer-term career ambitions. Belgium Campus iTversity offers several routes into the field, from a dedicated Security specialisation in its Diploma in Information Technology to advanced technical, risk-management and research pathways.

From Ethical Hacking to Risk Management: How to Choose the Right Cybersecurity Course in South Africa Read More »

A person in a white shirt interacts with a large transparent digital display filled with data science visuals, including bar charts, line graphs, and numerical metrics in blue and red tones. The futuristic interface appears to float in front of them, suggesting advanced analytics and real‑time data insights. Another person is visible in the background of the modern office setting, reinforcing a collaborative, tech‑driven work environment.

Data Science Courses in South Africa for the AI Driven World

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South Africa is undergoing a powerful digital transformation. Every sector – finance, healthcare, retail, logistics, education, and public services – increasingly relies on data to operate, innovate, and compete. Organisations are collecting more information than ever before, and they urgently need professionals who can analyse it, interpret it, and turn it into meaningful insights. Data science courses in South Africa, including those offered at Belgium Campus iTversity, have become one of the most impactful pathways into high growth, future focused careers.

Data Science Courses in South Africa for the AI Driven World Read More »

Three students sit at desks in a library, each wearing a virtual‑reality headset and interacting with digital content in the air. Laptops are open in front of them, and bookshelves line the background, illustrating a modern, technology‑enhanced learning environment.

Why SA schools must embrace technology and active learning

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Technology has long played a part in education. The chalkboard appeared in 1890, the pencil became widespread a decade later, followed by radio a century ago, the overhead projector in 1930 and the photocopier in the late 1960s. The computer arrived in the 1980s and mobile devices have since made it possible for learners to access content anytime, anywhere.
Covid-19 moved everything online almost overnight. Technologies that might have taken years to adopt became mainstream in months, normalising digital learning for teachers and students.
It was not a perfect system, as many children were left behind due to unequal access to technology, and the solutions implemented as part of lockdown were not systems that were designed to teach foundational skills remotely. But it challenged the production-line model of learning. Students had to manage their own schedules, learn independently, find information themselves and develop digital skills. And then most of them went back to sitting in rows.

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