With great salaries, high market demand, and opportunities to work in an ever-growing industry, computer science represents an excellent career choice. The profession is a pivotal part of the modern digital landscape and includes work with big data, cloud computing, cybersecurity, and advanced IT services.

Due to being a highly desirable vocation, computer science is quite a competitive field. That’s why it’s essential to learn the basics about the profession, particularly what to expect from BSc Computer Science jobs and salary.

This article will serve as an overview of the job profile and share the most important details. If you’re asking “Is BSc Computer Science worth it,” the answer at a glance is: yes. Let’s take a deeper look at the subject and see why.

BSc Computer Science Salary per Month

Getting info about BSc Computer Science salary is relatively easy. And the data is quite impressive: An average computer scientist in Germany earns more than €3,700 monthly. In Denmark, the salary is over €4,800, while French computer scientists earn just shy of €4,200.

The above numbers describes the average income of all computer scientists. When it comes to BSc Computer Science jobs salary, the mean figure is somewhat lower, but still nothing to scoff at.

Work experience is a massive factor here, so the pay will be lower for BSc Computer Science jobs for freshers. Salary averages in those cases are in the range of €3,000-€3,800 on a monthly level.

Moving away from general averages, a bachelors in computer science salary can vary significantly depending on numerous factors. The following is an overview of the crucial elements that may determine how much this job pays.

Factors Affecting Monthly Earnings

Salaries for BSc Computer Science jobs change according to four common variables that influence wages in every profession:

  • Location
  • Company Size
  • Experience
  • Industry

1. Location

It’s not surprising that the same job pays differently depending on location. Certain states offer higher salaries for computer scientists, with Switzerland, Denmark, and Norway being the leaders.

On the other hand, the lowest-paying countries for this profession include Ukraine, Poland, and Russia. The differences are staggering, particularly between specific areas.

For instance, if you work as a BSc computer scientist in Switzerland, you’ll likely earn double compared to your colleagues in Finland or Ireland. But if you’re in Ukraine, your salary will be about 60% lower than the German counterpart.

It’s worth noting that higher salaries account for living costs, which are higher in areas that offer a better monthly pay.

Of course, remote work has opened up more opportunities. As a BSc computer scientist, you can live in a low-cost area but earn your pay in a high-salary company.

2. Company size

Company size impacts employee salaries in every walk of life. Working as a computer scientist in Apple or Adobe will pay more than doing the same job in a startup or a small business.

Furthermore, a smaller company might not have the budget to fill all of the necessary IT roles. In such cases, a single employee might perform multiple tasks, sometimes acting as a one-person department.

In other words, a job in a small company could mean not only a smaller paycheck, but more work, too.

3. Experience

The number of years spent in a certain profession usually determines salary height, and this is no different when it comes to computer science. A computer scientist with over two decades of experience will likely fulfill a senior role and may earn, on average, a third more than a beginner.

4. Industry

Salary averages for BSc computer scientists don’t vary too much across industries. The highest overall pays are in high-profile IT companies like Adobe.

Interestingly, the National Institute of Health has a better average pay range, although the top wages here are about a sixth lower than in Adobe. However, the lowest salary in the institute is higher than its counterpart in the tech giant.

Jobs & Salary for BSc Computer Science Graduates

A BSc Computer Science graduate may take on several common job roles, regardless of the industry. Let’s review some of the most widespread jobs for this profile.

1. Software Developer

The job of a software developer is precisely what it sounds like: developing apps for computers and mobile devices. In addition, software developers also test existing apps.

For these BSc in computer science jobs, salary averages are about €4,500 monthly. Counted among the best jobs in the market, the software developer position is often described as a rewarding profession with high job satisfaction.

2. Systems Analyst

A systems analyst is tasked with analyzing an existing computer system and coming up with ways to improve it. The profession is also known as a system architect.

On average, systems analysts earn around €3,800 per month. These professionals reportedly work in pleasant environments and under satisfactory conditions. Thus, it’s no wonder that working as a system analyst comes with a higher job satisfaction.

3. Network Administrator


Network administrators have a vital role in every company. They’re tasked with installing and maintaining computer networks, which are often the foundation of a business.


The average monthly pay of a network administrator is similar to a systems analyst’s, in the neighborhood of €3,700. This job comes with relatively low stress and ranks higher in terms of job satisfaction.


4. Database Administrator


The responsibilities of a database administrator include systematic data organization and ensuring easy access to the said data. The job has cybersecurity elements, as well.


Database administrators are, on average, paid similarly to software developers, i.e., about €4,600 per month. While pay satisfaction is high, professionals in this field report a relatively low career satisfaction.


5. IT Consultant


An IT consultant is involved in various IT-related roles. They often build the complete IT structure, resolve immediate issues, and provide crucial advice on IT use.


The average monthly pay for this profession is nearly €3,300. Although the salary is slightly lower than other computer science roles, IT consultants are overwhelmingly satisfied with their job positions.


Course Benefits of BSc Computer Science


Is BSc in Computer Science good as a career choice? Undoubtedly. But to start working such a lucrative and often satisfactory job, you’ll need to get educated in the field.


Here’s what you can look forward to when enlisting into a BSc Computer Science course.


Acquiring In-Demand Skills


One of the most important benefits of a BSc Computer Science course is that you’ll learn the essential skills of the profession:

  • Working with the most in-demand programming languages
  • Understanding computer algorithms and data structures
  • Getting a grip on computer network architecture
  • Learning how to manage different databases

Industry Relevance and Adaptability


A quality course for BSc Computer Science will give you industry-relevant skills. With a wider knowledge about computer science, you’ll be able to adapt to different roles and find your place in the market more easily.


Opportunities for Further Education and Specialization


Attaining a BSc in Computer Science will make you eligible for further academic progress. While you can find great work opportunities as a BSc, you’ll also have the option of continuing your studies towards a PhD or specializing for a specific branch of computer science.


If you’re interested in these venues of progress, there’s no need to question “is BSc Computer Science a good course.” For your purposes, it’s the best. Read on to find out what a typical course entails.


Course Duration and Structure


Job prospects for computer scientists look pretty appealing. But if you want to become a BSc Computer Science, how many years would you need to devote to studying?


These courses last for three years, usually encompassing six semesters. That’s not a very long time to become qualified for one of the most wanted professions. Better yet, there are fast-track options that last only two years.


Overview of Course Structure


Core subjects of BSc Computer Science courses differ from one term to the next. During the first term, you’ll learn about computer architectures and networks, the principles of programming and ICT, and technical English.


The second term contains web development, foundational math, OS introduction, data structure, and project management. The third term will introduce you to databases, cloud computing, AI, and business strategies. You’ll also delve deeper into programming paradigms here.


The fourth term deals with software engineering, machine learning, cybersecurity, digital marketing, and cloud development.


The fifth term is where you can choose between elective subjects:

  • Cybersecurity
  • Machine learning
  • Application of complex networks
  • Automated cloud computing
  • Front-end programming
  • AI ethics
  • DevOps

The final term is reserved for your thesis project, which will serve as proof of the skills you’ve acquired so far.


It’s worth noting that the course can have a level of flexibility, allowing you to customize your schedule and select a particular curriculum. This may come in handy for working students and those who wish to pursue a specific path in the field.



Fresher’s Job Potential


Since computer science professionals are in high demand, the market has plenty of job opportunities for freshers. You’ll likely be able to find work as an application, network system, or software developer. Additionally, software engineer and IT support roles are widely available.


Industry leaders like IBM, Microsoft, and Google count among the top recruiters. However, landing a job with such giants won’t be straightforward. Here’s how to maximize your chances.


Tips for Securing a Job


1. Build a network


Finding the perfect job is often a matter of not only what, but who you know. Expanding your network might open up better opportunities.


2. Gain experience


The best way to launch a successful career is to build it up, so gaining initial experience will be crucial. You can start as an intern or an employee in a smaller company and work your way up from there. When looking for your first BSc Computer Science jobs for freshers, salary won’t be the main consideration.


3. Build a good portfolio


You’ll need a strong portfolio to progress in your computer science career. It’s often best to start small and progress to more high-profile jobs and demanding roles. When you submit your application to Google or Apple, you’ll want to have a CV full of great references.


4. Keep up with industry trends


The IT sector evolves and shifts very often. To make the most of your skills, keep expanding them according to the particular industry you’re working in.


Generally speaking, this last tip will relate to your overall career. Develop your skillset beyond the basics and keep learning. You’ll have an easier time growing the career you want.


Start a Rewarding Computer Science Career


With more than competitive salaries and enticing job opportunities, there’s little not to like about a career in computer science. A relatively small investment in time and effort can help you enter one of the most promising and rewarding job markets in the world.


If you’re ready to pursue a career in computer science, there’s no better time than today. Enlist in a quality course and start building for the future.

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Juggling Work and Study: Interview With OPIT Student Karina
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Jun 5, 2025 6 min read

During the Open Institute of Technology’s (OPIT’s) 2025 Graduation Day, we conducted interviews with many recent graduates to understand why they chose OPIT, how they felt about the course, and what advice they might give to others considering studying at OPIT.

Karina is an experienced FinTech professional who is an experienced integration manager, ERP specialist, and business analyst. She was interested in learning AI applications to expand her career possibilities, and she chose OPIT’s MSc in Applied Data Science & AI.

In the interview, Karina discussed why she chose OPIT over other courses of study, the main challenges she faced when completing the course while working full-time, and the kind of support she received from OPIT and other students.

Why Study at OPIT?

Karina explained that she was interested in enhancing her AI skills to take advantage of a major emerging technology in the FinTech field. She said that she was looking for a course that was affordable and that she could manage alongside her current demanding job. Karina noted that she did not have the luxury to take time off to become a full-time student.

She was principally looking at courses in the United States and the United Kingdom. She found that comprehensive courses were expensive, costing upwards of $50,000, and did not always offer flexible study options. Meanwhile, flexible courses that she could complete while working offered excellent individual modules, but didn’t always add up to a coherent whole. This was something that set OPIT apart.

Karina admits that she was initially skeptical when she encountered OPIT because, at the time, it was still very new. OPIT only started offering courses in September 2023, so 2025 was the first cohort of graduates.

Nevertheless, Karina was interested in OPIT’s affordable study options and the flexibility of fully remote learning and part-time options. She said that when she looked into the course, she realized that it aligned very closely with what she was looking for.

In particular, Karina noted that she was always wary of further study because of the level of mathematics required in most computer science courses. She appreciated that OPIT’s course focused on understanding the underlying core principles and the potential applications, rather than the fine programming and mathematical details. This made the course more applicable to her professional life.

OPIT’s MSc in Applied Data Science & AI

The course Karina took was OPIT’s MSc in Applied Data Science & AI. It is a three- to four-term course (13 weeks), which can take between one and two years to complete, depending on the pace you choose and whether you choose the 90 or 120 ECTS option. As well as part-time, there are also regular and fast-track options.

The course is fully online and completed in English, with an accessible tuition fee of €2,250 per term, which is €6,750 for the 90 ECTS course and €9,000 for the 120 ECTS course. Payment plans are available as are scholarships, and discounts are available if you pay the full amount upfront.

It matches foundational tech modules with business application modules to build a strong foundation. It then ends with a term-long research project culminating in a thesis. Internships with industry partners are encouraged and facilitated by OPIT, or professionals can work on projects within their own companies.

Entry requirements include a bachelor’s degree or equivalency in any field, including non-tech fields, and English proficiency to a B2 level.

Faculty members include Pierluigi Casale, a former Data Science and AI Innovation Officer for the European Parliament and Principal Data Scientist at TomTom; Paco Awissi, former VP at PSL Group and an instructor at McGill University; and Marzi Bakhshandeh, a Senior Product Manager at ING.

Challenges and Support

Karina shared that her biggest challenge while studying at OPIT was time management and juggling the heavy learning schedule with her hectic job. She admitted that when balancing the two, there were times when her social life suffered, but it was doable. The key to her success was organization, time management, and the support of the rest of the cohort.

According to Karina, the cohort WhatsApp group was often a lifeline that helped keep her focused and optimistic during challenging times. Sharing challenges with others in the same boat and seeing the example of her peers often helped.

The OPIT Cohort

OPIT has a wide and varied cohort with over 300 students studying remotely from 78 countries around the world. Around 80% of OPIT’s students are already working professionals who are currently employed at top companies in a variety of industries. This includes global tech firms such as Accenture, Cisco, and Broadcom, FinTech companies like UBS, PwC, Deloitte, and the First Bank of Nigeria, and innovative startups and enterprises like Dynatrace, Leonardo, and the Pharo Foundation.

Study Methods

This cohort meets in OPIT’s online classrooms, powered by the Canvas Learning Management System (LMS). One of the world’s leading teaching and learning software, it acts as a virtual hub for all of OPIT’s academic activities, including live lectures and discussion boards. OPIT also uses the same portal to conduct continuous assessments and prepare students before final exams.

If you want to collaborate with other students, there is a collaboration tab where you can set up workrooms, and also an official Slack platform. Students tend to use WhatsApp for other informal communications.

If students need additional support, they can book an appointment with the course coordinator through Canvas to get advice on managing their workload and balancing their commitments. Students also get access to experienced career advisor Mike McCulloch, who can provide expert guidance.

A Supportive Environment

These services and resources create a supportive environment for OPIT students, which Karina says helped her throughout her course of study. Karina suggests organization and leaning into help from the community are the best ways to succeed when studying with OPIT.

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Leading in the Digital Age: Navigating Strategy in the Metaverse
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Jun 5, 2025 5 min read

In April 2025, Professor Francesco Derchi from the Open Institute of Technology (OPIT) and Chair of OPIT’s Digital Business programs entered the online classroom to talk about the current state of the Metaverse and what companies can do to engage with this technological shift. As an expert in digital marketing, he is well-placed to talk about how brands can leverage the Metaverse to further company goals.

Current State of the Metaverse

Francesco started by exploring what the Metaverse is and the rocky history of its development. Although many associate the term Metaverse with Mark Zuckerberg’s 2021 announcement of Meta’s pivot toward a virtual immersive experience co-created by users, the concept actually existed long before. In his 1992 novel Snow Crash, author Neal Stephenson described a very similar concept, with people using avatars to seamlessly step out of the real world and into a highly connected virtual world.

Zuckerberg’s announcement was not even the start of real Metaverse-like experiences. Released in 2003, Second Life is a virtual world in which multiple users come together and engage through avatars. Participation in Second Life peaked at about one million active users in 2007. Similarly, Minecraft, released in 2011, is a virtual world where users can explore and build, and it offers multiplayer options.

What set Zuckerberg’s vision apart from these earlier iterations is that he imagined a much broader virtual world, with almost limitless creation and interaction possibilities. However, this proved much more difficult in practice.

Both Meta and Microsoft started investing significantly in the Metaverse at around the same time, with Microsoft completing its acquisition of Activision Blizzard – a gaming company that creates virtual world games such as World of Warcraft – in 2023 and working with Epic Games to bring Fortnite to their Xbox cloud gaming platform.

But limited adoption of new Metaverse technology saw both Meta and Microsoft announce major layoffs and cutbacks on their Metaverse investments.

Open Garden Metaverse

One of the major issues for the big Metaverse vision is that it requires an open-garden Metaverse. Matthew Ball defined this kind of Metaverse in his 2022 book:

“A massively scaled and interoperable network of real-time rendered 3D virtual worlds that can be experienced synchronously and persistently by an effectively unlimited number of users with an individual sense of presence, and with continuity of data, such as identity, history, entitlements, objects, communication, and payments.”

This vision requires an open Metaverse, a virtual world beyond any single company’s walled garden that allows interaction across platforms. With the current technology and state of the market, this is believed to be at least 10 years away.

With that in mind, Zuckerberg and Meta have pivoted away from expanding their Metaverse towards delivering devices such as AI glasses with augmented reality capabilities and virtual reality headsets.

Nevertheless, the Metaverse is still expanding today, but within walled garden contexts. Francesco pointed to Pokémon Go and Roblox as examples of Metaverse-esque words with enormous engagement and popularity.

Brands Engaging with the Metaverse: Nike Case Study

What does that mean for brands? Should they ignore the Metaverse until it becomes a more realistic proposition, or should they be establishing their Meta presence now?

Francesco used Nike’s successful approach to Meta engagement to show how brands can leverage the Metaverse today.

He pointed out that this was a strategic move from Nike to protect their brand. As a cultural phenomenon, people will naturally bring their affinity with Nike into the virtual space with them. If Nike doesn’t constantly monitor that presence, they can lose control of it. Rather than see this as a threat, Nike identified it as an opportunity. As people engage more online, their virtual appearance can become even more important than their physical appearance. Therefore, there is a space for Nike to occupy in this virtual world as a cultural icon.

Nike chose an ad hoc approach, going to users where they are and providing experiences within popular existing platforms.

As more than 1.5 million people play Fortnite every day, Nike started there, first selling a variety of virtual shoes that users can buy to kit out their avatars.

Roblox similarly has around 380 million monthly active users, so Nike entered the space and created NIKELAND, a purpose-built virtual area that offers a unique brand experience in the virtual world. For example, during NBA All-Star Week, LeBron James visited NIKELAND, where he coached and engaged with players. During the FIFA World Cup, NIKELAND let users claim two free soccer jerseys to show support for their favorite teams. According to statistics published at the end of 2023, in less than two years, NIKELAND had more than 34.9 million visitors, with over 13.4 billion hours of engagement and $185 million in NFT (non-fungible tokens or unique digital assets) sales.

Final Thoughts

Francesco concluded by discussing that while Nike has been successful in the Metaverse, this is not necessarily a success that will be simple for smaller brands to replicate. Nike was successful in the virtual world because they are a cultural phenomenon, and the Metaverse is a combination of technology and culture.

Therefore, brands today must decide how to engage with the current state of the Metaverse and prepare for its potential future expansion. Because existing Metaverses are walled gardens, brands also need to decide which Metaverses warrant investment or whether it is worth creating their own dedicated platforms. This all comes down to an appetite for risk.

Facing these types of challenges comes down to understanding the business potential of new technologies and making decisions based on risk and opportunity. OPIT’s BSc in Digital Business and MSc in Digital Business and Innovation help develop these skills, with Francesco also serving as program chair.

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