Cyberthreats keep evolving at an unprecedented rate, affecting critical digital infrastructure across industries. Worst of all? No one’s safe. Not healthcare providers, not financial institutions, and not even government agencies. That’s why it shouldn’t be surprising that the demand for cybersecurity professionals is also unprecedented, with over 347,000 positions waiting to be filled throughout Europe.

Naturally, such high demand comes with competitive salaries for highly trained and educated individuals. So, if you’re pursuing a master’s degree in cyber security, salary expectations are undoubtedly promising, often reaching six figures.

In other words, investing in a master’s degree in cyber security is investing in a financially secure future.

But just how secure will this future be? Keep reading to learn what the master’s in cybersecurity salary expectations are.

How Much Can I Make With a Master’s in Cybersecurity?

Given how desperately companies need qualified cybersecurity professionals, they do their best to make their offers as attractive as possible. That’s why the average salary for a master’s degree in cyber security is roughly €73,000 a year.

In the U.S., the situation is even better, with the average salary as high as $132,962 (around €123,000) a year. This is great news, as virtually all cybersecurity job positions can be done fully remotely.

As for a salary range, top earners make over €100,000 a year in countries like Luxembourg, Belgium, and Switzerland. Entry-level positions typically start at €30,000. This discrepancy clearly shows that years of experience play a significant role in determining the cybersecurity master’s salary. But this factor is far from the only one.

The location of the job, the specific industry (private or public sector), and the level of responsibility also heavily influence compensation in the cybersecurity field.

With these elements, the math is simple. Countries with higher demand for cybersecurity professionals (e.g., Germany) will generally offer higher salaries. The same goes for industries, such as finance and technology, which pay better than government jobs. But what about the level of responsibility? How does your cybersecurity role affect your salary?

The good news is that those who hold a master’s degree can earn a six-figure salary even if they aren’t in a leadership position. Let’s break down the average master’s in cyber security salary expectations for the most common roles in cybersecurity.

  • Information security analyst: €100,000
  • Cybersecurity manager: €105,000
  • Cybersecurity engineer: €125,000
  • Incident response manager: €125,000
  • Penetration and vulnerability tester: €125,000
  • Cybersecurity consultant: €140,000

Can I Make 200k a Year in Cybersecurity?

If you’re looking for a yes or no answer, it’s yes, you can make €200,000 a year in cybersecurity. But since this figure is missing from the median salaries shown in the previous section, you can probably conclude that a €200,000 yearly salary isn’t the norm for every cybersecurity professional.

So, what does it take to earn this impressive figure?

The “easiest” way to such a high cybersecurity master’s degree salary is through a leadership position. For instance, Chief Information Security Officers (CISOs) are all but guaranteed a salary over €200,000, even when working in mid-sized companies. The same goes for the lead software security engineer.

Another factor that can contribute to such a lucrative pay is location. Working for a U.S. company in a high-demand area is more likely to get you your desired salary. For instance, for New York City and Los Angeles master’s in cyber security jobs, salary often reaches €200,000 due to a high demand for skilled cybersecurity professionals.

Finally, specialized roles that call for niche expertise, such as application security engineer, can also command a €200,000 salary.

As you can see, all the highest-paid positions require a Master of Science in cybersecurity. Salary expectations for a Bachelor of Science and other lower-level certifications in cybersecurity usually fail to hit the €200,000 mark.

Can You Make 500k a Year in Cybersecurity?

Again, the short answer is yes, you can make €500,000 a year in cybersecurity. But keep in mind that this salary is reserved only for exceptional scenarios and individuals, such as the following:

  • Cybersecurity professionals in extremely niche expertise areas (e.g., disaster recovery and application security)
  • Leadership roles within large multinationals or Fortune 500 corporations
  • Cybersecurity consultants for high-end clients
  • Entrepreneurs working on cybersecurity solutions and products

The Investment in Education vs. Return on Salary

There’s no doubt about it – cybersecurity is a highly lucrative field. But to earn the highest possible salary in the field, you’ll need one of the highest degrees of education – a master’s degree. Of course, this degree won’t be affordable if you want it to come from a highly reputable institution. So, is a master’s degree in cybersecurity even worth it?

The answer is a resounding yes!

Let’s do the math.

The simplest 10-year return-on-investment (ROI) calculation looks like this:

(expected annual salary post-master’s x 10) – (annual salary pre-master’s x 10) – (the total tuition for the master’s degree)

Let’s say you’re pre-master’s annual salary is €30,000 and your goal post-degree is a €75,000 salary. For tuition, we’ll use €6,750, which is the cost of the highly coveted Master’s Degree in Enterprise Cybersecurity at the Open Institute of Technology (OPIT.)

After crunching the numbers, you’ll see that the ROI from a cybersecurity master’s from OPIT is over €440,000.

That’s not to mention all the possibilities for advancement within the field and the possibility of working for U.S. companies, which are known to pay significantly more than most European companies.

OPIT’s Master’s Degree (MSc) in Enterprise Cybersecurity: Positioning for High Salaries

The potential ROI from an OPIT master’s degree is a reason enough to pursue a Master’s Degree in Enterprise Cybersecurity. Still, let’s explore how this reputable institution positions its students for such high salaries.

At OPIT, you won’t just work on your technical skills. You’ll also acquire a lot of valuable managerial expertise that allows you to pursue a variety of high-paying roles within the cybersecurity landscape. After all, you can’t get to the CISO position without mastering the intersection of technology and management.

On top of this perfect blend of knowledge, OPIT gives you a chance to gain real-world project experience while studying. This means that you’ll be ready to take on virtually any role in cybersecurity from day one. No extensive training needed!

Here are just some of the roles an OPIT master’s degree can prepare you for:

  • CISO
  • Cybersecurity director
  • Security solutions architect
  • Cybersecurity risk analyst
  • Incident response manager
  • Cybersecurity compliance officer

Aim for Long-Term Success

With a master’s degree in cyber security, salary expectations rise beyond the industry average, which is already more than competitive. Of course, this degree should come from a prestigious institution like OPIT. Why? This is the only way to achieve top-tier salary benchmarks wherever you end up working.

So, if you’re looking for a long-term career that offers financial stability and growth, don’t think twice about applying for OPIT.

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Sage: The ethics of AI: how to ensure your firm is fair and transparent
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Mar 7, 2025 3 min read

Source:


By Chris Torney

Artificial intelligence (AI) and machine learning have the potential to offer significant benefits and opportunities to businesses, from greater efficiency and productivity to transformational insights into customer behaviour and business performance. But it is vital that firms take into account a number of ethical considerations when incorporating this technology into their business operations. 

The adoption of AI is still in its infancy and, in many countries, there are few clear rules governing how companies should utilise the technology. However, experts say that firms of all sizes, from small and medium-sized businesses (SMBs) to international corporations, need to ensure their implementation of AI-based solutions is as fair and transparent as possible. Failure to do so can harm relationships with customers and employees, and risks causing serious reputational damage as well as loss of trust.

What are the main ethical considerations around AI?

According to Pierluigi Casale, professor in AI at the Open Institute of Technology, the adoption of AI brings serious ethical considerations that have the potential to affect employees, customers and suppliers. “Fairness, transparency, privacy, accountability, and workforce impact are at the core of these challenges,” Casale explains. “Bias remains one of AI’s biggest risks: models trained on historical data can reinforce discrimination, and this can influence hiring, lending and decision-making.”

Part of the problem, he adds, is that many AI systems operate as ‘black boxes’, which makes their decision-making process hard to understand or interpret. “Without clear explanations, customers may struggle to trust AI-driven services; for example, employees may feel unfairly assessed when AI is used for performance reviews.”

Casale points out that data privacy is another major concern. “AI relies on vast datasets, increasing the risk of breaches or misuse,” he says. “All companies operating in Europe must comply with regulations such as GDPR and the AI Act, ensuring responsible data handling to protect customers and employees.”

A third significant ethical consideration is the potential impact of AI and automation on current workforces. Businesses may need to think about their responsibilities in terms of employees who are displaced by technology, for example by introducing training programmes that will help them make the transition into new roles.

Olivia Gambelin, an AI ethicist and the founder of advisory network Ethical Intelligence, says the AI-related ethical considerations are likely to be specific to each business and the way it plans to use the technology. “It really does depend on the context,” she explains. “You’re not going to find a magical checklist of five things to consider on Google: you actually have to do the work, to understand what you are building.”

This means business leaders need to work out how their organisation’s use of AI is going to impact the people – the customers and employees – that come into contact with it, Gambelin says. “Being an AI-enabled company means nothing if your employees are unhappy and fearful of their jobs, and being an AI-enabled service provider means nothing if it’s not actually connecting with your customers.”

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Reuters: EFG Watch: DeepSeek poses deep questions about how AI will develop
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Feb 10, 2025 4 min read

Source:

  • Reuters, Published on February 10th, 2025.

By Mike Scott

Summary

  • DeepSeek challenges assumptions about AI market and raises new ESG and investment risks
  • Efficiency gains significant – similar results being achieved with less computing power
  • Disruption fuels doubts over Big Tech’s long-term AI leadership and market valuations
  • China’s lean AI model also casts doubt on costly U.S.-backed Stargate project
  • Analysts see DeepSeek as a counter to U.S. tariffs, intensifying geopolitical tensions

February 10 – The launch by Chinese company DeepSeek, opens new tab of its R1 reasoning model last month caused chaos in U.S. markets. At the same time, it shone a spotlight on a host of new risks and challenged market assumptions about how AI will develop.

The shock has since been overshadowed by President Trump’s tariff wars, opens new tab, but DeepSeek is set to have lasting and significant implications, observers say. It is also a timely reminder of why companies and investors need to consider ESG risks, and other factors such as geopolitics, in their investment strategies.

“The DeepSeek saga is a fascinating inflection point in AI’s trajectory, raising ESG questions that extend beyond energy and market concentration,” Peter Huang, co-founder of Openware AI, said in an emailed response to questions.

DeepSeek put the cat among the pigeons by announcing that it had developed its model for around $6 million, a thousandth of the cost of some other AI models, while also using far fewer chips and much less energy.

Camden Woollven, group head of AI product marketing at IT governance and compliance group GRC International, said in an email that “smaller companies and developers who couldn’t compete before can now get in the game …. It’s like we’re seeing a democratisation of AI development. And the efficiency gains are significant as they’re achieving similar results with much less computing power, which has huge implications for both costs and environmental impact.”

The impact on AI stocks and companies associated with the sector was severe. Chipmaker Nvidia lost almost $600 billion in market capitalisation after the DeepSeek announcement on fears that demand for its chips would be lower, but there was also a 20-30% drop in some energy stocks, said Stephen Deadman, UK associate partner at consultancy Sia.

As Reuters reported, power producers were among the biggest winners in the S&P 500 last year, buoyed by expectations of ballooning demand from data centres to scale artificial intelligence technologies, yet they saw the biggest-ever one-day drops after the DeepSeek announcement.

One reason for the massive sell-off was the timing – no-one was expecting such a breakthrough, nor for it to come from China. But DeepSeek also upended the prevailing narrative of how AI would develop, and who the winners would be.

Tom Vazdar, professor of cybersecurity and AI at Open Institute of Technology (OPIT), pointed out in an email that it called into question the premise behind the Stargate Project,, opens new tab a $500 billion joint venture by OpenAI, SoftBank and Oracle to build AI infrastructure in the U.S., which was announced with great fanfare by Donald Trump just days before DeepSeek’s announcement.

“Stargate has been premised on the notion that breakthroughs in AI require massive compute and expensive, proprietary infrastructure,” Vazdar said in an email.

There are also dangers in markets being dominated by such a small group of tech companies. As Abbie Llewellyn-Waters, Investment manager at Jupiter Asset Management, pointed out in a research note, the “Magnificent Seven” tech stocks had accounted for nearly 60% of the index’s gains over the previous two years. The group of mega-caps comprised more than a third of the S&P 500’s total value in December 2024.

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