It’s clear that there’s a growing demand for qualified computer scientists – as well as professionals in related fields – throughout the world. In the U.S. alone, the field is expected to grow by 15% between 2021 and 2031, with approximately 377,500 job openings per year. Europe is no different. For instance, the European artificial intelligence (AI) industry is projected to achieve an average annual growth of 15.87% between 2024 and 2030, creating a multi-billion dollar industry in the process.

With such explosive growth, one would assume that getting a job in the tech field should be straightforward as long as a student has the appropriate skills.

That’s often not the case.

Though companies have a large appetite for talented and tech-literate students, they typically want to see industry certifications to bolster their formal education qualifications. Here, you’ll discover the impact these certifications can have on your career. Plus, you’ll learn which certifications are the most desirable and how OPIT’s degree programs align with those certifications.

How do Industry Certifications Help?

We start with the big question – are computing industry certifications even relevant?

After all, as a student, you’re already working towards a degree that provides proof that you’re capable in various technical fields. But even with that degree, you may find that employers favor those with specific certifications.

Why?

Here are some of the most important reasons.

Showcasing a Willingness to Learn

Obtaining specific certifications outside of your degree shows that you’re willing to continue your education beyond your formal studies. That’s vital. The computer science fields evolve so rapidly that what you learn as part of a degree may be obsolete – or, at best, outdated – within a few years. If you’re not doing everything you can to adapt to these changes, you get left behind. When an employer compares two candidates with the same degree against one another, they’ll invariably go for the one who shows more commitment to keeping their skills sharp.

That’s not all.

Industry certifications also show employers that you can take the theoretical knowledge you develop during a degree into real-life practice. Hence the “industry” part of the phrase. That also leads to the second reason why certifications are so crucial.

Certifications Prepare You for the World of Work

Though a degree program may attempt to emulate real-world environments, it may not fully set you up for the demands industry places on you. You’re working for yourself, rather than a company. Plus, the odds are that your degree may not cover specific applications of your knowledge that would be useful in a real-world setting.

When studying for industry certifications, you engage with courses developed by people who have worked for companies that are like – or adjacent to – the types of companies for which you intend to work. That’s crucial. A certification can prepare you for specific duties or roles you’d be expected to take during your career. The result is that the working world is less of a shock to the system for the student who achieves a certification than it would be for somebody who transitions directly from a degree into industry.

Validation of What You’ve Learned

Validation through industry certifications works on two levels.

For the student, completion of certification serves as proof to themselves that they can put what they’ve learned during their degree course into action. Should you take a certification, you’ll be confronted with real-world scenarios and, often, be tasked with coming up with solutions to problems that real companies faced in the past. When you pass, you’ll know that you have verified proof of your competency within the context of working for a company.

That’s where the second level comes in – validation to a potential employer.

A degree is far from worthless to a potential employer. Most require them for any technical role, meaning you must complete your formal education. However, employers are also aware that many degree programs don’t prepare students for the realities of industry. So, a student who only has a degree on their resume may fall by the wayside compared to one who has an industry certification.

Those who do have certifications, however, have proof of their competency that validates them in the eyes of employers.

The Most Valuable Industry Certifications for Computer Science Students

With the value of industry certifications to supplement your degree established, the next question is obvious:

Which certifications are the most valuable?

You may have dozens to choose from, with the obvious answer being that the certification that’s best for you is the one that most closely aligns with the field you intend to enter. Still, the following are some of the most popular among computing students and recent graduates.

Prince 2 Foundation

Where your degree equips you with computer science fundamentals, the PRINCE2 Foundation course focuses on project management. It can be taken as a three-day course – virtually or in a classroom – that teaches the titular method for overseeing complex projects. Beyond the three-day intensive versions of the course, you can also take an online self-guided version that grants you a 12-month license to the course’s materials.

CAPM (Certified Associate in Project Management)

Again focusing on project management, the CAPM can be an alternative or a complement to a PRINCE2 certification. The 150-question exam covers predictive planning methodologies, Agile frameworks, and business analysis. Plus, it’s available in several major European languages, as well as Japanese and Arabic.

CompTIA Network+

Network implementation, operations, and security are the focuses of this course, which equips you with networking skills that apply to almost any industry system. Consider this course if you wish to enter a career in network security, IT support, or if you have designs on becoming a data architect.

AWS Cloud Practitioner Essentials

Offered via several platforms, including Amazon Web Services and Coursera, the AWS Cloud Practitioner Essentials course does exactly what it says:

Teaches you the foundations of the AWS cloud.

You’re paired with an expert instructor, who teaches you about the AWS Well-Architected Framework and the models relevant to the AWS cloud. It’s a good choice not just for computer science students, but those who intend to enter the sales, marketing, or project management spheres.

AWS Certified Developer Associate

Where the above course teaches the fundamentals of the AWS cloud, this one hones in on developing platforms within the AWS framework. It’s recommended that you take the essentials course first, gaining experience with AWS tech in the process, and have knowledge of at least one programming language. The latter can come from your degree.

All of the course resources are free, though you do have to pay a fee of $150 to take the 65-question exam related to the certification.

CISSP (Certified Information Systems Security Professional)

Cybersecurity is the focus of the CISSP, with successful students developing proven skills in designing, implementing, and managing high-end cybersecurity programs. You also become an ISC2 member when you receive your CISSP, giving you access to further educational tools and an expansive network you can use to further your career.

CISM (Certified Information Security Manager)

Like the CISSP, the CISM is for any student who wants to enter the growing field of cybersecurity. It covers many of the same topics, with the program’s website claiming that 42% of its students received a pay increase upon successful completion of the course.

CRISC (Certified in Risk and Information Systems Control)

Though adjacent to the two cybersecurity programs above, the CRISC focuses more on risk management in the context of IT systems. You’ll learn how to enhance – and demonstrate said enhancement of – business resilience, as well as how to incorporate risk management into the Agile methodology.

CEH (Certified Ethical Hacker)

When companies implement cybersecurity programs, they need to test them against the hackers that they’re trying to keep away from their data. Enter ethical hackers – professionals who use the same tricks that malicious hackers use to identify issues in a network. With the CEH, you gain an industry qualification that showcases your hacking credentials as it delivers experience in over 500 unique attack types.

Agile and Scrum Certifications

Both Agile and Scrum are management frameworks that have become extremely popular in the computer science field, making certifications in either extremely valuable. The idea with these certifications is to build your technical expertise into an established methodology. For context to why that’s important, consider this – 71% of American companies now use the Agile methodology due to its high success rate.

Where Do OPIT’s Courses Fit In?

If you’re a current or prospective OPIT student, you need to know one thing:

An OPIT degree isn’t the same as one of these industry certifications.

However, all OPIT degree programs are designed to align with the teachings of these certifications. They’re created by professionals who have industry experience – and can build real-world projects into their courses – to ensure that you leave OPIT with more than theoretical knowledge.

Instead, you’ll have a foundation of practical skills to go along with your technical talents, preparing you to take any of these industry certifications later in your career. For instance, our MSc in Enterprise Cybersecurity degree aligns with the CISM and CISSP certifications, meaning you’ll be well-prepared for the concepts introduced in those courses.

An OPIT degree complements the certifications you may need later in your career. If you’re not already an OPIT student, check out our range of online courses – all of which are EU-accredited and career-aligned – to take your first step toward a career in computer science.

Related posts

CCN: Australia Tightens Crypto Oversight as Exchanges Expand, Testing Industry’s Appetite for Regulation
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 3 min read

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  • CCN, published on March 29th, 2025

By Kurt Robson

Over the past few months, Australia’s crypto industry has undergone a rapid transformation following the government’s proposal to establish a stricter set of digital asset regulations.

A series of recent enforcement measures and exchange launches highlight the growing maturation of Australia’s crypto landscape.

Experts remain divided on how the new rules will impact the country’s burgeoning digital asset industry.

New Crypto Regulation

On March 21, the Treasury Department said that crypto exchanges and custody services will now be classified under similar rules as other financial services in the country.

“Our legislative reforms will extend existing financial services laws to key digital asset platforms, but not to all of the digital asset ecosystem,” the Treasury said in a statement.

The rules impose similar regulations as other financial services in the country, such as obtaining a financial license, meeting minimum capital requirements, and safeguarding customer assets.

The proposal comes as Australian Prime Minister Anthony Albanese’s center-left Labor government prepares for a federal election on May 17.

Australia’s opposition party, led by Peter Dutton, has also vowed to make crypto regulation a top priority of the government’s agenda if it wins.

Australia’s Crypto Growth

Triple-A data shows that 9.6% of Australians already own digital assets, with some experts believing new rules will push further adoption.

Europe’s largest crypto exchange, WhiteBIT, announced it was entering the Australian market on Wednesday, March 26.

The company said that Australia was “an attractive landscape for crypto businesses” despite its complexity.

In March, Australia’s Swyftx announced it was acquiring New Zealand’s largest cryptocurrency exchange for an undisclosed sum.

According to the parties, the merger will create the second-largest platform in Australia by trading volume.

“Australia’s new regulatory framework is akin to rolling out the welcome mat for cryptocurrency exchanges,” Alexander Jader, professor of Digital Business at the Open Institute of Technology, told CCN.

“The clarity provided by these regulations is set to attract a wave of new entrants,” he added.

Jader said regulatory clarity was “the lifeblood of innovation.” He added that the new laws can expect an uptick “in both local and international exchanges looking to establish a foothold in the market.”

However, Zoe Wyatt, partner and head of Web3 and Disruptive Technology at Andersen LLP, believes that while the new rules will benefit more extensive exchanges looking for more precise guidelines, they will not “suddenly turn Australia into a global crypto hub.”

“The Web3 community is still largely looking to the U.S. in anticipation of a more crypto-friendly stance from the Trump administration,” Wyatt added.

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Agenda Digitale: Generative AI in the Enterprise – A Guide to Conscious and Strategic Use
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 31, 2025 6 min read

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By Zorina Alliata, Professor of Responsible Artificial Intelligence e Digital Business & Innovation at OPIT – Open Institute of Technology

Integrating generative AI into your business means innovating, but also managing risks. Here’s how to choose the right approach to get value

The adoption of generative AI in the enterprise is growing rapidly, bringing innovation to decision-making, creativity and operations. However, to fully exploit its potential, it is essential to define clear objectives and adopt strategies that balance benefits and risks.

Over the course of my career, I have been fortunate to experience firsthand some major technological revolutions – from the internet boom to the “renaissance” of artificial intelligence a decade ago with machine learning.

However, I have never seen such a rapid rate of adoption as the one we are experiencing now, thanks to generative AI. Although this type of AI is not yet perfect and presents significant risks – such as so-called “hallucinations” or the possibility of generating toxic content – ​​it fills a real need, both for people and for companies, generating a concrete impact on communication, creativity and decision-making processes.

Defining the Goals of Generative AI in the Enterprise

When we talk about AI, we must first ask ourselves what problems we really want to solve. As a teacher and consultant, I have always supported the importance of starting from the specific context of a company and its concrete objectives, without inventing solutions that are as “smart” as they are useless.

AI is a formidable tool to support different processes: from decision-making to optimizing operations or developing more accurate predictive analyses. But to have a significant impact on the business, you need to choose carefully which task to entrust it with, making sure that the solution also respects the security and privacy needs of your customers .

Understanding Generative AI to Adopt It Effectively

A widespread risk, in fact, is that of being guided by enthusiasm and deploying sophisticated technology where it is not really needed. For example, designing a system of reviews and recommendations for films requires a certain level of attention and consumer protection, but it is very different from an X-ray reading service to diagnose the presence of a tumor. In the second case, there is a huge ethical and medical risk at stake: it is necessary to adapt the design, control measures and governance of the AI ​​to the sensitivity of the context in which it will be used.

The fact that generative AI is spreading so rapidly is a sign of its potential and, at the same time, a call for caution. This technology manages to amaze anyone who tries it: it drafts documents in a few seconds, summarizes or explains complex concepts, manages the processing of extremely complex data. It turns into a trusted assistant that, on the one hand, saves hours of work and, on the other, fosters creativity with unexpected suggestions or solutions.

Yet, it should not be forgotten that these systems can generate “hallucinated” content (i.e., completely incorrect), or show bias or linguistic toxicity where the starting data is not sufficient or adequately “clean”. Furthermore, working with AI models at scale is not at all trivial: many start-ups and entrepreneurs initially try a successful idea, but struggle to implement it on an infrastructure capable of supporting real workloads, with adequate governance measures and risk management strategies. It is crucial to adopt consolidated best practices, structure competent teams, define a solid operating model and a continuous maintenance plan for the system.

The Role of Generative AI in Supporting Business Decisions

One aspect that I find particularly interesting is the support that AI offers to business decisions. Algorithms can analyze a huge amount of data, simulating multiple scenarios and identifying patterns that are elusive to the human eye. This allows to mitigate biases and distortions – typical of exclusively human decision-making processes – and to predict risks and opportunities with greater objectivity.

At the same time, I believe that human intuition must remain key: data and numerical projections offer a starting point, but context, ethics and sensitivity towards collaborators and society remain elements of human relevance. The right balance between algorithmic analysis and strategic vision is the cornerstone of a responsible adoption of AI.

Industries Where Generative AI Is Transforming Business

As a professor of Responsible Artificial Intelligence and Digital Business & Innovation, I often see how some sectors are adopting AI extremely quickly. Many industries are already transforming rapidly. The financial sector, for example, has always been a pioneer in adopting new technologies: risk analysis, fraud prevention, algorithmic trading, and complex document management are areas where generative AI is proving to be very effective.

Healthcare and life sciences are taking advantage of AI advances in drug discovery, advanced diagnostics, and the analysis of large amounts of clinical data. Sectors such as retail, logistics, and education are also adopting AI to improve their processes and offer more personalized experiences. In light of this, I would say that no industry will be completely excluded from the changes: even “humanistic” professions, such as those related to medical care or psychological counseling, will be able to benefit from it as support, without AI completely replacing the relational and care component.

Integrating Generative AI into the Enterprise: Best Practices and Risk Management

A growing trend is the creation of specialized AI services AI-as-a-Service. These are based on large language models but are tailored to specific functionalities (writing, code checking, multimedia content production, research support, etc.). I personally use various AI-as-a-Service tools every day, deriving benefits from them for both teaching and research. I find this model particularly advantageous for small and medium-sized businesses, which can thus adopt AI solutions without having to invest heavily in infrastructure and specialized talent that are difficult to find.

Of course, adopting AI technologies requires companies to adopt a well-structured risk management strategy, covering key areas such as data protection, fairness and lack of bias in algorithms, transparency towards customers, protection of workers, definition of clear responsibilities regarding automated decisions and, last but not least, attention to environmental impact. Each AI model, especially if trained on huge amounts of data, can require significant energy consumption.

Furthermore, when we talk about generative AI and conversational models , we add concerns about possible inappropriate or harmful responses (so-called “hallucinations”), which must be managed by implementing filters, quality control and continuous monitoring processes. In other words, although AI can have disruptive and positive effects, the ultimate responsibility remains with humans and the companies that use it.

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