Is Information Technology Hard to Study?

Information technology students with easier and harder study factors, including logical thinking, programming and advanced maths

If you’re considering studying IT, you may wonder how hard it is to complete an information technology degree. If, for example, you’re interested in a Bachelor of Information Technology or similar, what are your chances of success?

Information technology is not hard to study if you’re technically minded and a solid student. You’ll examine how computer systems work and do subjects on programming, logic and mathematics. AI assistants can reduce the effort needed for routine coding, but you still need to understand and verify the output. Passing with strong grades is achievable by diligently attending classes and doing the work.

Intellectual brilliance is not required to succeed with IT courses. But it’s also true that some people aren’t suited to this field of study and could constantly struggle. Let’s explore how difficult information technology is to learn and whether an IT degree may be a good choice for you.

Logical Thinking Makes IT Easier to Study

Information technology is generally easier to study if you think logically and solve problems methodically. Because IT deals with coded information systems and software, logic is central to the field.

But if you think like an artist, studying information technology may be hard. When your brain works in a more creative, unframed way, with high openness to new concepts and perceptions, learning IT may often be uninteresting to you. In a current list of the top 20 degrees for creative people, game design is among the few technology-related majors.

Students with a creative mindset may easily lose their motivation in information technology courses. You still need to persist with problems that involve long series of logical steps, even when AI can generate code or suggest fixes. Coding assistants are most useful when you can break a problem into parts, judge the suggestions and trace errors. Accepting an answer without understanding it may only hide the difficulty until something fails.

This is not to say that creativity is unhelpful in information technology. Lateral thinking can be of great benefit for finding solutions and innovating. But just don’t expect to be able to satisfy creative urges on a regular basis when you study IT or computer science.

IT Study Requires Technical Focus

Friendly meeting

Information technology may be hard to study if you cannot handle long periods focused on technical tasks. You may be naturally drawn to the mysteries of culture, society and fame. You could also be strongly into philosophy or excel at other humanities subjects such as history or politics.

The quality of being interested in people does have benefits in the information technology field. Communication and other soft skills, such as political awareness in IT management, often determine who goes farthest with their IT careers.

Being a people person or extrovert is also considered highly beneficial as an IT project manager, help desk technician, web developer, software sales rep, computer systems analyst or UX designer (Source: Megan Ruesink).

But learning IT still requires long periods of focus on technical tasks. There’ll often be no people, characters or social dynamics involved in any way. You must be OK with delving into systems of logic to succeed with your bachelor’s degree.

What You Study in Information Technology

Information technology degrees typically combine a small core of programming, databases, data communications and cybersecurity subjects with a larger choice of electives.

At Macquarie University, for example, the Bachelor of Information Technology program contains five essential subjects: (A) Introduction to Computer Programming, (B) Introduction to Cyber Security, (C) Introduction to Database Design and Management, (D) Networking and Cloud Computing and (E) Project Management and Professional Practice. These subjects represent essential knowledge foundations for working in the IT industry.

  • You must learn to code and understand how to test AI-generated work, though programming is not always a big part of the job.
  • You’ll study how to use databases for storing, managing and accessing data.
  • You’ll study networking and cloud computing because IT systems rely on connected infrastructure.
  • Anyone involved with IT must be aware of cybersecurity methods and best practices.
  • Project management and professional practice prepare you to work in technical teams.

Any foundation course in information technology should contain an interesting mix of tech topics and computer concepts. To succeed, you must be prepared to get stuck in and learn each subject well. But none of the topics are so difficult as to make an IT foundation course very hard.

Some Information Technology Majors Are Harder

Facial recognition data

The difficulty of an IT degree partly depends on the major because some specializations require more mathematics or programming than others. Beyond the core subjects, IT courses offer a range of electives and optional specializations. The Macquarie program currently offers seven majors. Ordered from hardest to easiest (in my personal view), they are: (1) Artificial intelligence, (2) Data science, (3) Software technology, (4) Game design and development, (5) Web and mobile app development, (6) Information systems and business analysis and (7) Cyber security.

You have the option to choose easier or more difficult programs when you select a specialization for a bachelor’s degree. Each computing major is a potential route into a specialist field where you can dedicate your career.

Artificial intelligence, machine learning and data science may be the most difficult majors in terms of mathematics and the breadth of skills you’re required to learn. AI assistants reduce the burden of syntax, boilerplate code and straightforward debugging in software and app development. Software design, testing and security still make these majors challenging. Cyber security and business analysis are relatively easy in terms of the technical skills required to work in these industries.

Developing AI systems is mathematically and technically demanding. For most IT students, the more useful skill is applying existing AI tools to software and business problems while checking their accuracy, reliability and security. Expertise is in demand in industries such as healthcare, finance and agriculture.

Does Information Technology Require Math?

Math formulas

Information technology can be studied with relatively little mathematics, but the required level depends on the degree and major. Many IT careers are essentially free of mathematical tasks. Nonetheless, if you’re not strong at math, I believe an IT career may not be the best choice.

Information technology degrees often contain mathematics subjects and you’re generally expected to be competent at math. To earn a typical IT or computer science degree, you’ll generally need a solid understanding of algebra, Boolean logic and discrete mathematics. Probability theory and statistics are generally useful. Calculus could also be necessary in a few specialist areas.

While learning IT requires math, the level depends on the orientation of the course. To put it simply, the ability to use logic or mathematical thinking is more important than solving quadratic equations. Through your choice of electives, you may be able to construct an IT degree program with low mathematical requirements.

It would be unusual for someone who is terrible at math to be able to do advanced coding, database management and systems analysis. Logic is a common theme in IT and mathematics, and the two disciplines seem to rely on similar kinds of innate abilities.

Computer Science Is Usually Harder Than IT

Computer science major

Computer science is generally harder than information technology because it has more theoretical, programming and advanced mathematics content. However, the distinction between information technology and computer science is quite arbitrary, and the terms are often considered synonymous. Universities usually offer only one type of general computing degree at bachelor’s level, such as BSCS, BCS, BIT or BInfTech. Whether you study IT or computer science, the same kinds of core subjects, elective units and computing majors may be available.

A traditional computer science degree has some elements that you won’t ordinarily study as part of an information technology program. These serve to make computer science a hard major. The programs may be more fundamental because the topic is the science of computing. Computer science students may explore how operating systems work and spend more time learning programming and advanced mathematics.

Information technology is presented as a degree that prepares students for computing jobs. Generally, an IT major is perceived to have fewer theoretical and mathematical demands than other computing study fields, including information science, information systems, management information systems and computer science.

Given a wide IT curriculum, you can create customized programs. You may be able to focus on what you need to know for your future career, steering clear of difficult subjects with limited applied value. That potentially makes an information technology degree easier.

Computer Science vs Software Engineering

Is Information Technology Good to Study?

Information technology is good to study if you want technical skills, varied career options and access to well-paid work in a growing industry. You’d be entering a field with plenty of job openings and high salaries in specialties such as software engineering and data science.

But let’s go a bit more fundamental. Information technology is a good degree to study because you’ll gain valuable skills and create diverse job opportunities. Choosing to study IT is essentially a low-risk choice with high potential payoffs, especially with easy access to the best IT courses online.

By studying computer technology, you’ll gain skills that will give you long-term career advantages. People are put off by technical degrees, which is why the labor market is oversupplied with would-be psychologists, lawyers, writers, actors and journalists. AI is making routine code cheaper to produce but increasing the value of requirements analysis, system design, testing and security. In cyber security, Jobs and Skills Australia projects employment growth of 14.2% from 2024 to 2029 for database and systems administrators and ICT security specialists.

But studying IT does more than that. You also create diverse career opportunities. As you work through a Bachelor of Information Technology, you’ll have to start narrowing down your choices for majors or double majors. If you do this well, you find the right career direction to match your abilities and interests. And, even after you graduate, you’ll continue to have the opportunity to upgrade your knowledge and tilt your career in your preferred direction.

IT Study Is Not All Programming

Data scientist programming

Many IT roles require little or no daily programming, although coding is important in several technical specialties. AI has reduced the amount of code that must be written manually, but understanding and checking code are still valuable skills.

  • Jobs with often serious coding requirements include computer programmer, data scientist, software developer and software engineer.
  • Occupations where you probably need to code but not every day are cybersecurity specialist, data analyst, database administrator, database analyst, hardware engineer, multimedia developer, network administrator, software analyst, systems administrator, systems analyst, systems engineer and web developer.
  • Professional IT roles with potentially minimal coding demands include business analyst, computer service technician, data center technician, IT consultant, IT manager and network engineer.

AI coding assistants have made programming easier by generating boilerplate code, explaining errors, suggesting fixes and producing tests. Generated code may still be incorrect, insecure or difficult to maintain. Using it without proper review can create technical debt: future repair and maintenance work caused by weak design or shortcuts.

Spec-driven development is emerging as a way to control this risk. Requirements, constraints and tests are defined before AI generates code, reducing the risk of technical debt and comprehension debt, where a codebase works but is not understood well enough to maintain safely.

For students, AI works best as a tutor and reviewer rather than a substitute for learning. A controlled study of AI-assisted coding found weaker conceptual understanding, code-reading and debugging skills when participants relied on AI while learning a new programming library.

Related: 5 Best Programming Languages for Web Developers

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5 Comments

  1. Thanks for this great article. I’ve been thinking about getting involved in IT too.

  2. I’m an average student when it comes to mathematics, but all I can think about is becoming a professional in IT. I now have a clearer understanding of whether I should pursue IT or not, but I am committed to devoting most of my time to improving my mathematics skills.

  3. Wow, I had a real and great interest in IT, but I am not really good in mathematics. I feel so bad that I may not persuade my dreams in this career.

  4. I thought I knew about IT before reading this but now I am like “I knew nothing”. You have corrected all the misconceptions in my mind. Great article, thanks for sharing.

  5. It all comes down to a learning curve. Not everyone is able to learn Tech Information in terms of obtaining a degree but if you are already tech-minded, you are in the right headspace for it. Just put in the hours and keep a steady schedule and you will do just fine.

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