The world has become interconnected by technology and information. The vast amount of data available to companies has also made it increasingly evident that it needs to be stored and protected. It’s no surprise that there are around 2,300 cyberattacks daily, and that number is only expected to rise, seeing that 2023 saw over 70% more attacks than 2021.

These statistics open the door for valuable employment opportunities for specialists in cybersecurity and risk strategy. A cybersecurity expert in Germany can earn between €58k and €85k per year, and the wages in the U.S. are even higher.

Cybersecurity is a relatively vast field that requires both broad IT and management knowledge, but also dedicated experience that correlates to particular job postings. That makes cybersecurity experts difficult to find, as evidenced by the fact that Indeed currently has around 13,000 positions related to the industry.

If you’re already working in IT or planning an IT career, obtaining a master of science in cybersecurity and risk strategy can help you secure a lucrative position.

Understanding Cybersecurity Risk and Strategy

Cybersecurity risk and strategy analyzes the potential for attacks and creates proactive and reactive defenses against them. A complete risk and strategy outline must include all the potential consequences of an attack, such as financial, reputation, and operational losses. In general, a cybersecurity risk and strategy expert will do the following:

  • Identify vulnerabilities in the system, whether they come from technical aspects (improper password storage) or human factors (susceptibility to phishing).
  • Outline risk factors and the possible rates of attack.
  • Create proactive measures, such as implementing more robust security protocols or training personnel on safe online practices.
  • Detect attacks once they do come through via intrusion detection systems or other benchmarks.
  • Coordinate efforts to contain and remove threats and recover lost data or funds.

A cybersecurity specialist needs to have expert knowledge in various technologies but also solid interpersonal and psychological skills. That’s why a dedicated master’s degree in cybersecurity can help create a complete skillset for the role.

The Curriculum of a Master’s in Cybersecurity Risk and Strategy

A master’s degree in cybersecurity builds upon the IT essentials from a dedicated bachelor’s program. As such, it will likely cover the following:

  • Cryptography
  • Secure coding practices
  • Operating system security
  • Network security
  • Penetration testing
  • Vulnerability assessment
  • Government and national cybersecurity
  • Ethics, governance, and law implications of cybersecurity
  • Systems and security management
  • Incident response tactics

However, even more importantly, a good master’s degree program must provide real-life practice assessments. It will allow students to apply the theoretical knowledge and gain valuable experience throughout the curriculum.

Thankfully, online learning has made this type of approach more accessible. Since cybersecurity is web-related by nature, online courses can give students the full breadth of experience and provide more opportunities for a holistic understanding of the subjects and how cybersecurity advances globally.

Take the OPIT Master’s Degree in Enterprise Cybersecurity as a perfect example of this concept. It’s an online-first master’s program that delves deep into cybersecurity concepts such as network security and intrusion detection, cryptography, and even AI in cybersecurity and systems management. Furthermore, students can sign up for practical internships with some of the industry leaders in data management and cybersecurity systems.

Career Outcomes With a Master’s in Cybersecurity

Since IT is a versatile industry, cybersecurity is no different. Students who obtain a master’s degree in this field can have a slew of openings available to them. Entry-to-mid-level roles include:

  • Security engineer: In charge of designing, implementing, and maintaining security protocols.
  • Penetration tester: Designs programs that ethically hack into existing systems to uncover exploits and vulnerabilities so they can be patched before malicious hackers can reveal them.
  • Security analyst: Analyzes information provided by security systems to uncover possible threats and assist other cybersecurity roles.

Mid-to-senior level roles include:

  • Security system architect: Designs and implements secure IT infrastructures. Architects can specialize in one specific sub-field, such as cloud, network, or local systems engineering.
  • Security manager: In charge of an entire organization’s security systems and implementation.
  • Threat response manager: Directly responsible for minimizing the consequences of an active threat or incident.
  • Cybersecurity compliance officer: Ensures that the company follows the most recent ethical and legal standards in implementing proactive measures.
  • Chief information security officer (CSO or CISO): A leadership position for broad cybersecurity management in larger corporations.

The Online Advantage: Pursuing Your Master’s at OPIT

If you’re interested in a career in cybersecurity, you might have been discouraged to find expensive or prohibitive local colleges. While in-person lessons have their merits, not all colleges are created equal and provide modern knowledge and practice to sharpen students’ skills and prepare them for work.

That’s why OPIT has designed an all-online master’s degree in enterprise cybersecurity. It’s a fully accredited three-term course providing broad and relevant knowledge in modern cybersecurity mechanics.

However, what sets OPIT apart from traditional online degrees is its close relationship with industry leaders. This is emphasized by the complete support from the institution staff and a close-knit community from its digital campus. The courses are a mixture of pre-recorded content that students gain full access to as well as live classes with guests from companies that can share their experience with cybersecurity measures.

As such, OPIT focuses on teaching students relevant skills and how to apply them in real-world situations. Additionally, the course doesn’t have a final exam but provides periodic assessments through projects and assignments to ensure what you learn sticks.

The master’s degree can last between 12 and 18 months, depending on whether you want to take the classes at an accelerated rate. The admission cost is €6,750, with discounts if you apply and pay the entire fee early. The application process is fully online. You need a background in STEM or a bachelor’s degree in a relevant field and be proficient in English.

Becoming a Leader in Cybersecurity

Ultimately, the aim of a master’s degree is to provide students with relevant skills and experience to advance in their careers (or make a significant change).

Apart from teaching technical subjects, the degree focuses on creating situations where students have to apply critical thinking. As mentioned, modern cybersecurity has a significant human factor, so students will also need to develop their interpersonal and management skills if they want to advance to senior-level roles.

OPIT’s master program allows students to partake in interactive projects that will test their newfound knowledge and allow them to flourish in controlled environments with full support from the faculty. This will help reinforce their knowledge and allow them to be more adaptable in the future.

Learn From the Best With OPIT

Since cybersecurity is a rapidly-advancing industry with extreme potential for growth, prospective IT specialists need to be proactive with their learning. Online courses such as OPIT’s master’s degree in enterprise cybersecurity provide all the relevant skills and experience to create a foothold for a successful career in the industry.

Take the next step in your career and upskill yourself with OPIT. Click here to learn more and apply.

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Sage: The ethics of AI: how to ensure your firm is fair and transparent
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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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