What does an average day look like for somebody working in cybersecurity?

That isn’t an easy question to answer when you consider the vastness of the field. Somebody who works in cybersecurity needs to stay constantly abreast of industry changes – especially new attacks cooked up by cybercriminals – and help their employers create and tweak their security plans.

However, thanks to Tom Vazdar, who has developed the Open Institute of Technology’s (OPIT’s) Master’s Degree in Enterprise Cybersecurity, we can provide some insight into what your average day may look like.

Who Is Tom Vazdar?

Serving as the Program Chair of OPIT’s upcoming Master’s Degree in Cybersecurity, Tom brings a vast amount of practical experience to the table. His work has spanned the globe. Tom has been employed as the Chief Security Officer for a major Croatian bank, in addition to serving as the Chief Information Officer for a company in the United States’ manufacturing sector.

His practical experience spans other industries – including technology and finance – and he’s currently completing a doctorate while running his own practice. Tom’s specialty is the behavioral aspect of cybersecurity. His deep understanding of the “culture” that surrounds the field has been shaped by his work on development strategies, policies, and frameworks for his past employers.

The Importance of Trends

The first thing Tom highlights is that a cybersecurity professional has to follow the trends in the industry. As he points out: “We are living in an era where digital transformation is accelerating, and with it, the complexity and frequency of cyber threats are also increasing.” To demonstrate this, he points to an ISACA report published in 2023 showing that cyber attacks have increased 48% in 2023 compared to 2022. More worryingly, 62% of the organizations that experience these attacks underreport them – an indication that many simply don’t have the talent to truly understand the threat they face.

As a cybersecurity professional, your role is to provide the expertise such companies are sorely lacking.

Thankfully, many business leaders understand that they need this expertise. Tom points out that 59% of leaders say they’re understaffed in the cyber department, leading to a rising demand for people with the following technical skills:

• Identity and access management
• Data protection
• Cloud computing
• DevSecOps (development, security, and operations)

Furthermore, Tom says that artificial intelligence (AI) is completely transforming the cybersecurity industry. While AI is often beneficial to professionals in the field – it can enhance threat detection and response – it is also a danger. Malicious entities can use AI to conduct a new wave of attacks, such as data poisoning, for which you need to be prepared as a cybersecurity professional.

Tom’s discussion of these emerging trends highlights one of the most critical aspects of a day in the life of a cybersecurity professional – learning is key. There is no such thing as static knowledge because the industry (and the attacks your company may face) constantly evolve.

An Average Day Broken Down

Now that you understand how important staying on top of the ever-changing trends in cybersecurity is for those in the field, it’s possible to break things down a little further. On an average day, you may find yourself working on any, some, or even all of the following tasks.

Developing and Maintaining a Cybersecurity Strategy

Given that such a large number of business leaders are understaffed and have minimal access to appropriate talent, you’ll often be tasked with creating and maintaining a company’s cybersecurity strategy.

This strategy is not as simple as creating a collection of actions to take in the event of an attack.

Tom emphasizes not only the importance of proactivity, but also of integrating a cybersecurity strategy into the wider business strategy. “It becomes part of the mission and vision,” he says. “After all, there are two things that are important to companies – their data and customer trust. If you lose customer trust, you lose your business. If you lose your data, you lose your business.”

As a technically adept professional, you’ll be tasked with building a strategy that grows ever more complex as the threats the company faces become more advanced. New technologies – such as AI and machine learning – will be used against you, with your main task being to ensure the strategy you create can fend off such technologically-empowered attacks.

The Simpler Day-to-Day

Now, let’s move away from the complexities of developing an overarching plan and go into more detail about daily responsibilities. A cybersecurity professional is usually tasked with dealing with the day-to-day maintenance of systems.

It’s all about control.

Tom says that much of the role involves proactively identifying new protective measures. For instance, software patching is key – outdated software has vulnerabilities that a hacker can exploit. You’ll need to stay up to date on the development of patches for the software your company uses and, crucially, implement those patches as soon as they’re available.

Creating regular backups is also part of this day-to-day work. It’s an area that many businesses neglect – perhaps assuming that nothing bad can happen to them – but a backup will be a lifesaver if a hacker compromises your company’s main data stores.

Tending to Your Ecosystem

It’s not simply your own institution that you must maintain as a cybersecurity professional – everyone who interacts with that institution must also be managed. Vendors, external software developers, and any other part of your supply chain need to be as risk-aware as your business. As Tom puts it: “If they don’t care about vulnerabilities in their system, and they work for you as a company, then you’ll have an issue because their risk suddenly becomes your risk.”

As such, managing the cyber security aspect of your company’s relationships with its partners is a vital part of your duties. You may engage in planning with those partners, helping them improve their practices, or cooperate with them to create strategies encompassing your entire supply chain.

Continued Education

Tom goes on to highlight just how important continued education is to the success of a cybersecurity professional. “It’s always interesting. And if you’re really passionate about it, cybersecurity becomes your lifestyle,” he says. “You want to see what’s new. What are the new attack methods, what are your competitors doing, and what is new on the market.”

He points to a simple example – phishing emails.

These emails – which were traditionally laden with spelling errors that made them easier to spot – are becoming increasingly hard to detect thanks to the use of AI. They’re written better. Failure to understand and adapt to that fact could make it harder to educate yourself and the people in your company.

Your average day may also involve educating your colleagues about upcoming threats and new attack methods they need to understand. The phishing example Tom shares applies here. Any email that looks somewhat legitimate is a threat, so continued education of your colleagues is essential to stop that threat from having its intended effect.

An Example of a Typical Project

Given how vast the cybersecurity field is, the range of projects you may work on will vary enormously. However, Tom provides an example of when he worked in the banking industry and saw the rise of the Zeus Botnet.

In this case, his responsibilities were twofold.

First – finding a way to defend against botnet attacks. That involved researching the malware to figure out how it spread, allowing him to put protective measures in place to prevent that spread. The second task involved creating educational programs, both for employees and his bank’s clients, to make them aware of the Zeus Botnet.

Here, we see the education part of the cybersecurity professional’s “average day” coming into play, complementing the more technical aspects of dealing with malware. We even see supply chain risk coming into play – each client is part of the bank’s supply chain, meaning they need to understand how to defend themselves just as much as the bank does.

The Qualifications Needed to Work in Cybersecurity

With a multitude of cybersecurity qualifications available – many covering specific niches – it’s tough to find the appropriate one to make you attractive to an employer. That’s where Tom’s work with OPIT comes in. The master’s degree that he’s developing not only focuses on the technical skills a professional needs but places those skills in a business context.

The upcoming course will offer electives in subjects such as AI, cloud security, and IoT security, granting students flexibility to pursue a specialization within their degree. The overall program is also closely aligned to industry certifications – such as those offered by CISSP – to ensure graduates are as industry-ready as they are academically qualified.

The intention, Tom says, is to fill the skills gap that 3 million businesses say they have in cybersecurity. The program provides the right blend of knowledge between technical and managerial skills, in addition to allowing students to pursue subjects of particular interest to them.

Ultimately, it doesn’t teach absolutely everything that you could learn about the industry. No course can. But it does equip you with key foundational knowledge aligned with industry certifications that make you more employable. That, combined with your continued education and completion of relevant certifications once you’re employed, means you have an enormous opportunity to build a successful cybersecurity career with OPIT.

So, the qualifications needed for the industry start with a relevant degree. They then blossom out. Professionals focus on courses that meet the specific requirements of their roles so that they learn the cybersecurity techniques that are most effective for their needs.

Did you know that the world’s first computer programmer was a woman? That’s right, Ada Lovelace, an English mathematician and writer, is widely considered the first person to recognize the potential of a computer. She realized it could go beyond mere calculations and handle symbols and logical operations (besides numbers).

Yet, many scholars still argue that Lovelace’s contributions to the field have been vastly overstated, going as far as denying them altogether. Unfortunately, it all boils down to a belief that a woman “didn’t do, and shouldn’t do, and couldn’t do” such a thing.

Perhaps similar beliefs are the reason why women continue to be underrepresented in the field of computing today. Since Lovelace, many female tech visionaries have made significant and varied contributions to this field. And yet, the gap persists.

Is this how it will always be? Or can something be done to pave the way for a more inclusive future in computing? That’s what this article will explore.

The History of Women in Computing and Computer Science

Ada Lovelace’s work in the mid-19th century laid the foundation for modern computing, earning her the flattering title of “World’s First Computer Programmer.” But she wasn’t the only woman to make monumental contributions to computer science.

To understand the ever-growing push for equality in computing, you must first take a journey throughout history, highlighting some of these women’s most notable (and often overlooked) contributions in this field.

1952: Grace Hopper

Grace Hopper, a U.S. Navy admiral and computer scientist, invented the first computer compiler, translating English instructions into the target computer’s language. Code optimization, formula translation, and subroutines are just some computing developments inspired by Hopper’s groundbreaking work.

That’s why it shouldn’t be surprising that the world’s largest gathering of women technologists is named in her honor – the Grace Hopper Celebration.

1962: Katherine Johnson

Katherine Johnson, one of the women immortalized in the 2016 book and film “Hidden Figures,” was the one to run equations needed for John Glenn’s historic orbital flight in 1962. She would go on to work on other groundbreaking NASA missions, including the Apollo program.

1970s: Adele Goldberg

Though Adele Goldberg has made many contributions to computing, she’s best known for developing the Smalltalk programming language, which was crucial in shaping modern graphical user interfaces.

1985: Radia Perlman

The fact that Radia Perlman is often referred to as the “Mother of the Internet” probably tells you all you need to know about her importance in computing history. Perlman is renowned for inventing the Spanning Tree Protocol, a technology that greatly enhanced the reliability and efficiency of network communication.

1997: Anita Borg

In 1997, a U.S. computer scientist, Anita Borg, founded the Institute for Women in Technology. This institute had (and continues to have) two simple goals – to increase the representation of women in technical fields and enable them to create more technology.

2018: Joy Buolamwini

Joy Buolamwini, currently one of the most influential women in computer science, is primarily known for her groundbreaking graduate thesis uncovering significant racial and gender bias in AI services. She also founded the Algorithmic Justice League, a non-profit organization focusing on making tech more equitable and accountable.

The Present State of Women in Computing and Computer Science

There have undoubtedly been strides in increasing women’s representation in computing and computer sciences. Though it’s challenging to determine what came first, one of the most significant moves in this regard was giving credit where credit’s due.

For instance, the “ENIAC Six,” the six women tasked with programming the ENIAC (Electronic Numerical Integrator and Computer), weren’t initially recognized for their historic contributions. It took decades for this recognition to come, but this doesn’t make it any less monumental.

But even with these recognitions, initiatives, awareness campaigns, and annual events, the gender gap in computing persists. This gap can be seen by examining the number of women in three crucial computing and computer science stages – education, workforce, and leadership.

Today, there’s no shortage of degree programs in computer science, both traditional and online. But one look at the data about the students attending these programs, and you’ll understand the issue. Though more women hold tertiary degrees in the EU, they’re notably absent in computer science-related fields.

The situation in the computing workforce is no better. Currently, women occupy only 22% of all tech roles across European companies, and to make matters worse, this figure is on a downward trajectory.

Just when you think it can’t get any more dismal, take a look at the highest levels of professional leadership in computing and technology. One look at the C-suite (senior executives) stats reveals abysmal figures. For instance, only 9% of the U.K. C-suite leaders are women.

The Reasons Behind the Current State of Women in Computing

By now, you probably agree that something needs to change to address the gender disparity in computing. And it needs to change drastically. But to propose effective solutions, you must first examine the root of the problem.

Though it’s challenging to pinpoint a single explanation for the underrepresentation of women in computing, let’s break down factors that might’ve contributed to the current situation.

The Lack of Women Peers and Mentors

Paradoxically, women might be less willing to enter the computing field due to the lack of visible representation and mentorship. Essentially, this creates a never-ending cycle of underrepresentation, thus only deepening the gender gap.

Societal Stereotypes and Biases

Deep-rooted stereotypes about gender roles can, unfortunately, dissuade women from pursuing computer science. The same goes for stereotyping what average computer scientists look like and how they act (the “nerd” stereotype often reinforced by media).

Fortunately, initiatives promoting diversity and inclusion in computer science are breaking down these stereotypes gradually yet efficiently. The more women join this field, the more preconceived (and misguided) notions are shattered, demonstrating that excellence in computing knows no gender.

Hostile or Unwelcoming Work Environments

It’s well-documented that highly collaborative fields were less welcoming to gender minorities throughout history, and computer science was no different. Though the situation is much better today, some women might still fear working within a predominantly male team due to these lingering concerns from the past.

Educational Disparities

Numerous studies have shown that precollege girls are less likely to be exposed to various aspects of computing, from learning about hardware and software to dissecting a computer. So, it’s no wonder they might be less inclined to pursue a career in computing after lacking exposure to its foundational aspects.

A Worse Work-Life Balance

Many big tech companies are notorious for long working hours. The same goes for computer science as a field. The result? Some women might perceive this field as too demanding and impossible to reconcile with raising a family, leading them not to consider it.

How to Change the Curve

Though the past might’ve seemed bleak for women in computing, the present (and future) hold promise for positive change. Of course, no fundamental changes can happen without collective commitment and decisive action. So, what can be done to change the curve once and for all and promote greater gender diversity in computing?

Striving to Remove the Barriers

So, you believe women should experience all the opportunities that come with a career in computing. But this can only be done by actively addressing and eliminating the barriers impeding their progress in the field.

This means launching campaigns to dismantle the deep-rooted stereotypes, introducing policies to create supportive working (and learning) environments, and regularly recognizing and celebrating women’s achievements in computing.

Making the Field Exciting for Women

Educational institutions and companies also must pull their weight in making the computing field more appealing to women despite the existing challenges. This might involve hands-on and collaborative learning, showcasing diverse role models in the field (e.g., at the annual Grace Hopper Celebration of Women in Computing), and establishing mentorship programs.

Relying on Mutual Support

As long as women have a strong enough support system, they can conquer anything, including the often daunting field of computer science. Here are some organizations that can provide just that: (See if you can spot some familiar individuals in their names!)

• AnitaB.org
• Ada’s List
• Association for Women in Computing

Other than that, women now have access to a whole host of resources and opportunities they can use to advance their knowledge and excel in the field. These include the following:

• Coding bootcamps
• Career fairs for women in tech
• STEM scholarships

Gaining Access to Education

Allowing equal access to education to women might be the most crucial element in changing the curve. After all, proper education serves as a direct gateway to opportunities and empowerment in computer science (and beyond).

With the popularization of online studying, many of the obstacles (both actual and perceived) that traditionally hindered women’s involvement in computing have disappeared. Now, women can learn about (and engage in) computer science from the comfort of their own homes, going at their own pace.

That’s precisely a part of the reason Alona, a Latvian student at the Open Institute of Technology, chose to pursue online education in computer science. Even with two children and a job (and a Bachelor’s degree in linguistics), she can find time to study and potentially earn her degree in as little as two years. Talk about an outstanding work-life balance!

When pursuing a degree in computer science at the OPIT, there are no hostilities, inadequacies, or barriers, only boundless opportunities.

Soon, we will be launching four new Degrees for AY24-25 at OPIT – Open Institute of Technology
I want to offer a behind-the-scenes look at the Product Definition process that has shaped these upcoming programs.

🚀 Phase 1: Discovery (Late May – End of July)

Our journey began with intensive brainstorming sessions with OPIT’s Academic Board (Francesco Profumo, Lorenzo Livi, Alexiei Dingli, Andrea Pescino, Rosario Maccarrone) . We also conducted 50+ interviews with tech and digital entrepreneurs (both from startups and established firms), academics and students. Finally, we deep-dived into the “Future of Jobs 2023” report by the World Economic Forum and other valuable research.

🔍 Phase 2: Selection – Crafting Our Roadmap (July – August)

Our focus? Introducing new degrees addressing critical workforce shortages and upskilling/reskilling needs for the next 5-10 years, promising significant societal impact and a broad market reach.
Our decision? To channel our energies on full BScs and MScs, and steer away from shorter courses or corporate-focused offerings. This aligns perfectly with our core mission.

💡 Focus Areas Unveiled!

We’re thrilled to concentrate on pivotal fields like:

• Cybersecurity
• Advanced AI
• Digital Business
• Metaverse & Gaming
• Cloud Computing (less “glamorous”, but market demand is undeniable).

🎓 Phase 3: Definition – Shaping the Degrees (August – November)

With an expert in each of the above fields, and with the strong collaboration of our Academic Director, Prof. Lorenzo Livi , we embarked on a rigorous “drill-down process”. Our goal? To meld modern theoretical knowledge with cutting-edge competencies and skills. This phase included interviewing over 60+ top academics, industry professionals, and students and get valuable, program-specific, insights from our Marketing department.

🌟 Phase 4: Accreditation and Launch – The Final Stretch

We’re currently in the accreditation process, gearing up for the launch. The focus is now shifting towards marketing, working closely with Greta Maiocchi and her Marketing and Admissions team. Together, we’re translating our new academic offering into a compelling value proposition for the market.

Stay tuned for more updates!

Far from being a temporary educational measure that came into its own during the pandemic, online education is providing students from all over the world with new ways to learn. That’s proven by statistics from Oxford Learning College, which point out that over 100 million students are now enrolled in some form of online course.

The demand for these types of courses clearly exists.

In fact, the same organization indicates that educational facilities that introduce online learning see a 42% increase in income – on average – suggesting that the demand is there.

Enter the Open Institute of Technology (OPIT).

Delivering three online courses – a Bachelor’s degree in computer science and two Master’s degrees – with more to come, OPIT is positioning itself as a leader in the online education space. But why is that? After all, many institutions are making the jump to e-learning, so what separates OPIT from the pack?

Here, you’ll discover the answers as you delve into the five reasons why you should trust OPIT for your online education.

Reason 1 – A Practical Approach

OPIT focuses on computer science education – a field in which theory often dominates the educational landscape. The organization’s Rector, Professor Francesco Profumo, makes this clear in a press release from June 2023. He points to a misalignment between what educators are teaching computer science students and what the labor market actually needs from those students as a key problem.

“The starting point is the awareness of the misalignment,” he says when talking about how OPIT structures its online courses. “That so-called mismatch is generated by too much theory and too little practical approach.” In other words, students in many classes spend far too much time learning the “hows” and “whys” behind computerized systems without actually getting their hands dirty with real work that gives them practical experience in using those systems.

OPIT takes a different approach.

It has developed a didactic approach that focuses far more on the practical element than other courses. That approach is delivered through a combination of classroom sessions – such as live lessons and masterclasses – and practical work offered through quizzes and exercises that mimic real-world situations.

An OPIT student doesn’t simply learn how computers work. They put their skills into practice through direct programming and application, equipping them with skills that are extremely attractive to major employers in the tech field and beyond.

Reason 2 – Flexibility Combined With Support

Flexibility in how you study is one of the main benefits of any online course.

You control when you learn and how you do it, creating an environment that’s beneficial to your education rather than being forced into a classroom setting with which you may not feel comfortable. This is hardly new ground. Any online educational platform can claim that it offers “flexibility” simply because it provides courses via the web.

Where OPIT differs is that it combines that flexibility with unparalleled support bolstered by the experiences of teachers employed from all over the world. The founder and director of OPIT, Riccardo Ocleppo, sheds more light on this difference in approach when he says, “We believe that education, even if it takes place physically at a distance, must guarantee closeness on all other aspects.” That closeness starts with the support offered to students throughout their entire study period.

Tutors are accessible to students at all times. Plus, every participant benefits from weekly professor interactions, ensuring they aren’t left feeling stuck on an educational “island” and have to rely solely on themselves for their education. OPIT further counters the potential isolation that comes with online learning with a Student Support team to guide students through any difficulties they may have with their courses.

In this focus on support, OPIT showcases one of its main differences from other online platforms.

You don’t simply receive course material before being told to “get on with it.” You have the flexibility to learn at your own pace while also having a support structure that serves as a foundation for that learning.

Reason 3 – OPIT Can Adapt to Change Quickly

The field of computer science is constantly evolving.

In the 2020s alone, we’ve seen the rise of generative AI – spurred on by the explosive success of services like ChatGPT – and how those new technologies have changed the way that people use computers.

Riccardo Ocleppo has seen the impact that these constant evolutions have had on students. Before founding OPIT, he was an entrepreneur who received first-hand experience of the fact that many traditional educational institutions struggle to adapt to change.

“Traditional educational institutions are very slow to adapt to this wave of new technologies and trends within the educational sector,” he says. He points to computer science as a particular issue, highlighting the example of a board in Italy of which he is a member. That board – packed with some of the country’s most prestigious tech universities – spent three years eventually deciding to add just two modules on new and emerging technologies to their study programs.

That left Ocleppo feeling frustrated.

When he founded OPIT, he did so intending to make it an adaptable institution in which courses were informed by what the industry needs. Every member of its faculty is not only a superb teacher but also somebody with experience working in industry. Speaking of industry, OPIT collaborates with major companies in the tech field to ensure its courses deliver the skills that those organizations expect from new candidates.

This confronts frustration on both sides. For companies, an OPIT graduate is one for which they don’t need to bridge a “skill gap” between what they’ve learned and what the company needs. For you, as a student, it means that you’re developing skills that make you a more desirable prospect once you have your degree.

Reason 4 – OPIT Delivers Tier One Education

Despite their popularity, online courses can still carry a stigma of not being “legitimate” in the face of more traditional degrees. Ocleppo is acutely aware of this fact, which is why he’s quick to point out that OPIT always aims to deliver a Tier One education in the computer science field.

“That means putting together the best professors who create superb learning material, all brought together with a teaching methodology that leverages the advancements made in online teaching,” he says.

OPIT’s degrees are all accredited by the European Union to support this approach, ensuring they carry as much weight as any other European degree. It’s accredited by both the European Qualification Framework (EQF) and the Malta Qualification Framework (MQF), with all of its courses having full legal value throughout Europe.

It’s also here where we see OPIT’s approach to practicality come into play via its course structuring.

Take its Bachelor’s degree in computer science as an example.

Yes, that course starts with a focus on theoretical and foundational knowledge. Building a computer and understanding how the device processes instructions is vital information from a programming perspective. But once those foundations are in place, OPIT delivers on its promises of covering the most current topics in the field.

Machine learning, cloud computing, data science, artificial intelligence, and cybersecurity – all valuable to employers – are taught at the undergraduate level. Students benefit from a broader approach to computer science than most institutions are capable of, rather than bogging them down in theory that serves little practical purpose.

Reason 5 – The Learning Experience

Let’s wrap up by honing in on what it’s actually like for students to learn with OPIT.

After all, as Ocleppo points out, one of the main challenges with online education is that students rarely have defined checkpoints to follow. They can start feeling lost in the process, confronted with a metaphorical ocean of information they need to learn, all in service of one big exam at the end.

Alternatively, some students may feel the temptation to not work through the materials thoroughly, focusing instead on passing a final exam. The result is that those students may pass, but they do so without a full grasp of what they’ve learned – a nightmare for employers who already have skill gaps to handle.

OPIT confronts both challenges by focusing on a continuous learning methodology. Assessments – primarily practical – take place throughout the course, serving as much-needed checkpoints for evaluating progress. When combined with the previously mentioned support that OPIT offers, this approach has led to courses that are created from scratch in service of the student’s actual needs.

Choose OPIT for Your Computer Science Education

At OPIT, the focus lies as much on helping students to achieve their dream careers as it does on teaching them. All courses are built collaboratively. With a dedicated faculty combined with major industry players, such as Google and Microsoft, it delivers materials that bridge the skill gap seen in the computer science field today.

There’s also more to come.

Beyond the three degrees OPIT offers, the institution plans to add more. Game development, data science, and cloud computing, to name a few, will receive dedicated degrees in the coming months, accentuating OPIT’s dedication to adapting to the continuous evolution of the computer science industry. Discover OPIT today – your journey into computing starts with the best online education institution available.

With immense pride and anticipation, we announce the inaugural event for the OPIT – Open Institute of Technology academic year. As pioneers in the new era of Higher Education, this event encapsulates the very ethos of what OPIT represents. Not just an event, but the commencement of a journey to pave the way for the next generation of leaders in the field of IT.

Event Details

• Date: September 12th, 2023
• Time: 5.00-6.00 PM CEST
• Platform: Online
• Registration: Link

Event Schedule

1. Official Introduction: Mr. Riccardo Ocleppo, the founder of OPIT, paints a picture of the Institution’s foundational pillars and what prospective students can expect from their academic journey.
2. Learning Model Presentation: Prof. Francesco Profumo, our esteemed Rector, delves deep into the heart of OPIT’s avant-garde learning experience, shedding light on its core tenets and alignment with the demands of the contemporary job market.
3. Accreditation and Quality Assurance: The Malta Minister of Education, Dr. Clifton Grima, offers insights into the robust educational framework of Malta and the stringent quality assurance measures in place.
4. The Future of Jobs in the Era of AI: Prof. Alexiei Dingli navigates the evolving terrains of the job market under the shadow of AI’s relentless march, emphasizing the pivotal role of institutions like OPIT.
5. The Impact of Digitalization on a Global Scale: Dr. Bernardo Calzadilla Sarmiento, former Managing Director of UNIDO (United Nations Industrial Development Organization) offers a panoramic view of the digital revolution sweeping across the globe and its profound implications on industry, economy, and education.
6. Q&A Session: Led by Greta Maiocchi, the Head of Admissions at OPIT, this segment is dedicated to addressing queries, clearing doubts, and facilitating an open dialogue.

In a world where AI and digital innovation are reshaping boundaries, institutions like OPIT emerge as guiding lights. Join us at this pivotal juncture as we navigate the AI-driven future, fortified by our dedication to education, foresight, and ambition.

Join us in marking the beginning of an era. Let’s shape the future, together.

Register here for the event.

For 68% of Italian students, the perfect training opens up the world of work and connects them to companies. And 72% of students prefer the hybrid educational model.

The data comes from a survey of 1,600 members of the Docsity community by OPIT – The Open Institute of Technology.

OPIT founder Riccardo Ocleppo states: “Students need more practical learning and skills that allow for a faster and more profitable entry into a company.”

Milan, 19 June 2023 – Italian students aged between 18 and 26 prefer educational and training offerings based on the hybrid models and a focus on up-to-date training provided by quality teaching staff. They’re also less likely to believe that the name of a university is enough to guarantee job opportunities upon graduating. These are some of the chief findings to emerge from an OPIT survey of 1,600 students (secondary level and university) who are part of the Docsity community – a platform for sharing documents and interesting content – just a few days before the beginning of final exams.

The results show that students consider job opportunities and connections with companies as the main factors when evaluating study opportunities (68%). Cost is also an important criterion (39.6%), as is the updating of teaching methods and practical aspects of the course to ensure they’re aligned with today’s work environment (33.1%). Furthermore, 21.7% of those surveyed note the quality of the teaching staff as being crucial to helping them absorb the skills they need to succeed as workers in the future. The “name” and reputation of a university of training provider only matters to 13% of those surveyed.

“The data confirms what we had foreseen when we decided to enter the education market,” says OPIT’s founder and director Riccardo Ocleppo. “Involving companies in our programs was a top priority, and their insights were instrumental in designing the modules we created, including what technologies to rely on and the programming languages we work with, for example.”

“By working with companies to design our programs, we’ve found that students both require and prefer a much more hands-on learning experience. This ensures they’re up to date on current technologies, processes, and ways of working when they join a company. So, our goal for our students is that they leave OPIT feeling much more knowledgeable about what employers really need from them.”

As far as learning methods are concerned, students prefer the hybrid model – having the opportunity to participate in face-to-face lessons while retaining the flexibility to access course content online or even via a fully remote model based on their needs.  Amongst university students, 72.6% say they prefer the hybrid model, unlike secondary students, who retain a preference for my “physical” styles of teaching.

When secondary students were asked about their choice of university, 46% of boys and girls indicated engineering, computer science, and STEM as their preferred fields. Humanities and communication followed (20.6%), with economics taking the third spot (17.9%).

“Rapid developments in technology and artificial intelligence,” continues Ocleppo, “are creating new job opportunities for STEM graduates, which current students clearly understand. Specific skills are becoming increasingly important as enterprises move more and more to make the most out of the changes brought by AI. Yet, the shortage of tech workers is expected to grow even faster in the coming years. Despite the concern that the wave of AI-inspired technologies is creating, there is no doubt there will be demand for certain types of professionals with specific technical skills.”

OPIT’s data also indicates a widespread trend toward the continuation of studies beyond initial certification, belying the more pessimistic readings on the growth of the NEET (Not in Education, Employment, or Training) phenomenon. Enrolling in a degree course remains both the safest and preferred choice for the majority of secondary school students – 82% confirmed their intention to continue their studies at the university level. A further 8.3% are undecided about university, while 5% will choose short training courses, with only 2.5% of students surveyed saying they’ll stop education after their fifth-grade exams. Accredited training (university, business school, or some other form of higher education) remains the preferred choice of almost all students (94.6%).

Delving deeper into a behavioral analysis of university students, an interesting preference for further continuation of studies emerges. Over two-thirds (68%) say they wish to continue, demonstrating that a Bachelor’s degree alone is not seen as the ideal pathway into the world of work. In fact, of those who declared a willingness to continue studying after submitting their Bachelor’s thesis, 90% said they want to enroll in a new long-term study program – either a second Bachelor’s degree or a Master’s degree. It’s also significant that more university students are undecided about continuing their educations (22%) than those who are convinced they’ll finish studying permanently upon completion of their degrees (10%).

Asked about what will be most important in a future where they will have to grapple with various AI-led transitions, over half of students (56%) believe it’s essential to understand artificial intelligence and its applications. This was followed by digital marketing (42%), with cybersecurity identified by one in three students (35%) as key due to the job opportunities in that field linked to the need to protect growing amounts of personal data. Fintech closed this ranking at 3%.

OPIT – Open Institute of Technology is an academic institution accredited at the European level that provides an exclusively online training offer focused on Computer Science and a teaching staff made up of professors of international standing. OPIT stands out in the panorama of university-level training for a didactic model shaped by the need for quality, flexibility, and connection with the business world of upcoming generations. OPIT’s degree programs are oriented towards the acquisition of modern and up-to-date skills in the crucial sector of computer science. Its degrees are accredited by the MFHEA and the EQF (European Qualification Framework), and professionally recognized by employers.

https://www.opit.com/ 

AI, and its integration with society, had an incredible acceleration in recent months. By now, it seems certain that AI will be the fourth GPT (General Purpose Technology) of human history: one of those few technologies or inventions that radically and indelibly change society. The last of these technologies was ICT (internet, semiconductor industry, telecommunications); before this, electricity and the steam engine were the first 2 GPTs.

All three GPTs had a huge impact on the overall productivity and advancement of our society with, of course, a profound impact on the world of work. Such an impact, though, was very different across these technologies. The advent of electricity and the steam motor allowed the displacement of large masses of workers from more archaic and manual jobs to their equivalent jobs in the new industrial era, where not many skills were required. The advent of ICT, on the other hand, has generated enormous job opportunities, but also the need to develop meaningful skills to pursue them.

As a result, an increasingly large share of the economic benefit deriving from the advent of ICT has gradually been polarized towards people who had (and have) these skills in society. Suffice it to say that, already in 2017, the richest 1% of America owned twice the wealth of the “poorest” 90%.

It is difficult to make predictions about how the advent of AI will impact this trend already underway. But there are some very clear elements: one of these is that quality education in technology (and not only) will increasingly play a primary role in being able to secure the best career opportunities for a successful future in this new era.

To play a “lead actor” role in this change, though, the world of education – and in particular that of undergraduate and postgraduate education – requires a huge change towards being much more flexible, aligned to today’s needs of students and companies, and affordable.

This model needs to be seriously challenged and adapted to the times: solid foundational learning remains an essential prerogative. But in a “fast” world in rapid change like today’s, knowledge acquired along this “linear” path will not be able to accompany people in their professions until the end of their careers. The “utility period” of the knowledge we acquire today reduces every day, and this emphasizes how essential continuous learning is throughout our lives.

The transition must therefore be towards a more circular pattern for learning. A model in which one returns “to the school desk” several times in life, in order to update oneself, and forget “obsolete” knowledge, making room for new production models, new ways of thinking, organizing, and new technologies.

In this context, Education providers must rethink the way they operate and how they intend to address this need for lifelong learning.

Higher Education Institutions, as accredited bodies and guarantors of the quality of education (OPIT – Open Institute of Technology among these), have the honor of playing a primary role in this transition.

But also the great burden of rethinking their model from scratch which, in a digital age, cannot be a pure and simple digital transposition of the old analog learning model.

The Institutions Universities are called upon to review and keep updated their own study programmes, think of new, more flexible and faster ways of offering them to a wider public, forge greater connections with companies, and ultimately provide them with students who are immediately ready to successfully enter the dynamics of production. And, of course, be more affordable and accessible: quality education in the AI era cannot cost tens of thousands of dollars, and needs to be accessed from wherever the students are.

With OPIT – Open Institute of Technology, this is the path we have taken, taking advantage of the great privilege of being able to start a new path, without preconceptions or “attachment” to the past. We envision a model of a new, digital-first, higher education institution capable of addressing all the points above, and accompany students and professionals throughout their lifetime learning journey.

We are at the beginning, and we hope that the modern and fresh approach we are following can be an interesting starting point for other universities as well.

Authors

Prof. Francesco Profumo, Rector of OPIT – Open Institute of Technology
Former Minister of Education, University and Research of Italy, Academician and author, former President of the National Research Council of Italy, and former Rector of Politecnico di Torino. He is an honorary member of various scientific associations.

Riccardo Ocleppo, Managing Director of OPIT
Founder of OPIT, Founder of Docsity.com, one of the biggest online communities for students with 19+ registered users. MSc in Management at London Business School, MSc in Electronics Engineering at Politecnico di Torino

Prof. Lorenzo Livi, Programme Head at OPIT
Former Associate Professor of Machine Learning at the University of Manitoba, Honorary Senior Lecturer at the University of Exeter, Ph.D. in Computer Science at Università La Sapienza.

A Practical Guide to Thriving in Today’s Job Market Powered by AI and Computer Science

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