

One of the biggest concerns for students is what they’ll do after graduation. Fortunately, you can’t go wrong with BSc Computer Science. This branch has been evolving rapidly, and the market is hungry for qualified and knowledgeable experts.
The BSc Computer Science degree opens the doors to many job roles. If you’re curious about the concrete positions you can apply for, you’ve come to the right place. We’ll offer a comprehensive BSc Computer Science jobs list to help you find the best match.
BSc Computer Science Jobs for Freshers
When you enroll in your BSc Computer Science program, you can take one of many directions, depending on your preferences.
Entry-Level Software Developer
Are you interested in how to use codes to develop software? If so, this position may be ideal.
Job Description
Software developers are like magicians who take their programming and design knowledge and turn it into fully-functioning software that meets user needs.
Contrary to popular belief, software engineers don’t just create games and apps (although many would like that). These professionals stand behind every single platform, program, machine, and device. Therefore, it shouldn’t come as a shock that the market is desperate for them.
Skills Required
This is an entry-level position. Therefore, real-world experience isn’t at the top of the requirements list for employers. But you do need a BSc Computer Science degree (or be on your way to obtaining it) and knowledge of basic programming languages. There are also some soft skills you’ll need to perform this job. Attention to detail and the ability to work in a team and adapt to a fast-paced environment are common requirements.
Average Salary
How much money you’ll make on this job depends on your employer. On average, you can expect around $80,000 plus bonuses.
Junior Data Analyst
Do you like analyzing large piles of data to extract valuable information and put it to good use? If so, Junior Data Analyst may be your dream job.
Job Description
The basic duties of a Junior Data Analyst involve examining data and applying different techniques to get relevant results. They’re database masters, and it’s their job to know the systems well and figure out the best way to manage them.
While going through data can sound tedious, it’s rewarding in the end. Like finding a needle in a haystack, large piles of information can reveal small but valuable data. These discoveries can pinpoint trends and provide insights that can help a company shape its operations.
Skills Required
If you want to be a Junior Data Analyst, you need to have a knack for distinguishing relevant from irrelevant information. You also need to have an eye for aesthetics, as you’ll need to present your discoveries in a clear and appealing manner. Let’s not forget to mention good time management and great programming and statistics skills, which can be confirmed by your BSc Computer Science degree.
Average Salary
Junior Data Analysts make roughly $60,000 per year.
IT Support Specialist
When we say “computer science,” many imagine passive, somewhat lonesome jobs where you spend your days in silence and write a bunch of code. IT Support Specialists definitely don’t see their jobs this way.
Job Description
If you ask IT Support Specialists why they like their job, many will say, “because it’s rewarding.” And that’s completely true. IT Support Specialists have a somewhat noble role. They troubleshoot technology issues and help others resolve them. “Others” can be other employees in the company or external customers who need help.
Either way, the role of an IT Support Specialist is dynamic and exciting, but it can also be tiring.
Skills Required
In this case, the emphasis is often placed on “soft,” non-technical skills required for the job. These include patience, politeness, and good communication. Of course, you need to understand how different technologies work and be able to troubleshoot problems, often remotely.
A BSc Computer Science (or a similar) degree isn’t always a requirement.
Average Salary
The average salary is approximately $50,000 for entry-level positions.
Web Developer
If you’re looking for a way to combine your love for programming and design and put it to good use, web development is an excellent career path to take.
Job Description
Web developers are creative masters who stand behind websites. They use their programming and design knowledge to come up with websites that are both functional and appealing. Besides creating websites liked by both clients and search engines, web developers maintain them. Therefore, these experts are there throughout a website’s entire “life” and ensure its full functionality at all times.
Skills Required
You don’t need an official degree to be a Web Developer. However, landing a job in this niche isn’t as easy as walking into a company and saying, “I like design and coding.” If you’re serious about becoming a Web Developer, you have to learn HTML and CSS. Then, you need a basic understanding of testing, SEO, and responsive design. Since you’ll often work with other people to “create magic,” you need to be open about teamwork.
Average Salary
On average, Web Developers make around $77,000 per year.
Quality Assurance Analyst
When describing the role of a QA Analyst, some jokingly say it’s perfect for people who love correcting other people’s mistakes. Let’s see what the position entails.
Job Description
QA Analysts test whether a certain product or program is manufactured following the standards set by the industry/company. What does this mean? Let’s say you’re testing a productivity program. To do your job, you’ll first need to create a detailed testing plan describing every stage of the process. Then, you’ll need to execute the testing. You’ll check whether its description matches its performance in terms of compatibility and functions. If there’s any issue, you’ll have to create a report and submit it to the relevant personnel.
Skills Required
Most employers require a BSc Computer Science (or similar) degree when hiring a QA Analyst. Besides that, employers look for other skills that will make them say, “You’re the perfect candidate for the job.” They like someone who pays attention to detail, has a working knowledge of different OSs, and strong analytical skills. Moreover, a great QA Analyst can see how tiny details affect the bigger picture.
Average Salary
QA Analysts make approximately $78,000 per year.
Job Opportunities After Degree Completion
What can you do after BSc Computer Science? With a BSc Computer Science degree in your hands, the world’s your oyster. Here are some directions in which you can drive your career.
Higher Education Options
After completing their studies, many students realize they’re hungry for more. Higher education unlocks new roads and takes ambitious students on an exciting journey. Here are some options to consider:
- MSc Computer Science
- MBA in Information Technology
- Specialized certifications
Networking and Professional Development
Networking and professional development are the winning combo: you get to connect with the people from your branch and acquire knowledge.
- Attend conferences, workshops, and seminars
- Join professional organizations
- Improve your online presence
Internships and Work Experience
Some students want to “skip” internships and go straight to full-time jobs. You shouldn’t consider internships an unnecessary stop along the way but a shortcut to success. When you’re an intern, you’ll work with industry professionals who can offer valuable advice and insight. You can use this time to ask questions and observe what others do. If your superiors like you, your internship can very much turn into a full-time job.
Software Engineer Potential
If you like coding and have excellent analytical thinking skills, software engineering may be the way to go. Software engineers develop anything from video games to complex network systems and software. Other “to-dos” on a software engineer’s list can be software testing, design, and creating presentations.
What do you need to become a Software Engineer? First, you need a degree in computer science or a similar field. Then, you need to be detail-oriented, hardworking, and well-organized. Software engineering isn’t a one-man’s game, so you need to be a team player if you want the best results.
Depending on the company’s policy, being a Software Engineer can set you up for other roles like Tech Lead, Technical Architect, and Chief Technical Officer (CTO).
Tips for Freshers to Stand Out on the Market
It’s undeniable that the computer science industry is flourishing. But that doesn’t mean jobs grow on trees. Since more and more people are interested in the industry, standing out is becoming more challenging. Here’s how to set yourself apart:
- Update your resume and portfolio.
- Make connections with the people from your branch (through online platforms and/or in person).
- Keep up with the most recent industry trends.
- Focus on your soft skills, as they can be the X factor for landing an internship or a job.
Land the Best Jobs in the Industry
If you were wondering, “Can I get a job after BSc Computer Science?” the answer is absolutely! Computer scientists are in high demand, and with a BSc Computer Science degree in your hands, you can drive your career in the desired direction.
Besides your degree, don’t forget about the not-so-secret ingredient in your recipe for success: constant improvement and development.
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The world is rapidly changing. New technologies such as artificial intelligence (AI) are transforming our lives and work, redefining the definition of “essential office skills.”
So what essential skills do today’s workers need to thrive in a business world undergoing a major digital transformation? It’s a question that Alan Lerner, director at Toptal and lecturer at the Open Institute of Technology (OPIT), addressed in his recent online masterclass.
In a broad overview of the new office landscape, Lerner shares the essential skills leaders need to manage – including artificial intelligence – to keep abreast of trends.
Here are eight essential capabilities business leaders in the AI era need, according to Lerner, which he also detailed in OPIT’s recent Master’s in Digital Business and Innovation webinar.
An Adapting Professional Environment
Lerner started his discussion by quoting naturalist Charles Darwin.
“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change.”
The quote serves to highlight the level of change that we are currently seeing in the professional world, said Lerner.
According to the World Economic Forum’s The Future of Jobs Report 2025, over the next five years 22% of the labor market will be affected by structural change – including job creation and destruction – and much of that change will be enabled by new technologies such as AI and robotics. They expect the displacement of 92 million existing jobs and the creation of 170 million new jobs by 2030.
While there will be significant growth in frontline jobs – such as delivery drivers, construction workers, and care workers – the fastest-growing jobs will be tech-related roles, including big data specialists, FinTech engineers, and AI and machine learning specialists, while the greatest decline will be in clerical and secretarial roles. The report also predicts that most workers can anticipate that 39% of their existing skill set will be transformed or outdated in five years.
Lerner also highlighted key findings in the Accenture Life Trends 2025 Report, which explores behaviors and attitudes related to business, technology, and social shifts. The report noted five key trends:
- Cost of Hesitation – People are becoming more wary of the information they receive online.
- The Parent Trap – Parents and governments are increasingly concerned with helping the younger generation shape a safe relationship with digital technology.
- Impatience Economy – People are looking for quick solutions over traditional methods to achieve their health and financial goals.
- The Dignity of Work – Employees desire to feel inspired, to be entrusted with agency, and to achieve a work-life balance.
- Social Rewilding – People seek to disconnect and focus on satisfying activities and meaningful interactions.
These are consumer and employee demands representing opportunities for change in the modern business landscape.
Key Capabilities for the AI Era
Businesses are using a variety of strategies to adapt, though not always strategically. According to McClean & Company’s HR Trends Report 2025, 42% of respondents said they are currently implementing AI solutions, but only 7% have a documented AI implementation strategy.
This approach reflects the newness of the technology, with many still unsure of the best way to leverage AI, but also feeling the pressure to adopt and adapt, experiment, and fail forward.
So, what skills do leaders need to lead in an environment with both transformation and uncertainty? Lerner highlighted eight essential capabilities, independent of technology.
Capability 1: Manage Complexity
Leaders need to be able to solve problems and make decisions under fast-changing conditions. This requires:
- Being able to look at and understand organizations as complex social-technical systems
- Keeping a continuous eye on change and adopting an “outside-in” vision of their organization
- Moving fast and fixing things faster
- Embracing digital literacy and technological capabilities
Capability 2: Leverage Networks
Leaders need to develop networks systematically to achieve organizational goals because it is no longer possible to work within silos. Leaders should:
- Use networks to gain insights into complex problems
- Create networks to enhance influence
- Treat networks as mutually rewarding relationships
- Develop a robust profile that can be adapted for different networks
Capability 3: Think and Act “Global”
Leaders should benchmark using global best practices but adapt them to local challenges and the needs of their organization. This requires:
- Identifying what great companies are achieving and seeking data to understand underlying patterns
- Developing perspectives to craft global strategies that incorporate regional and local tactics
- Learning how to navigate culturally complex and nuanced business solutions
Capability 4: Inspire Engagement
Leaders must foster a culture that creates meaningful connections between employees and organizational values. This means:
- Understanding individual values and needs
- Shaping projects and assignments to meet different values and needs
- Fostering an inclusive work environment with plenty of psychological safety
- Developing meaningful conversations and both providing and receiving feedback
- Sharing advice and asking for help when needed
Capability 5: Communicate Strategically
Leaders should develop crisp, clear messaging adaptable to various audiences and focus on active listening. Achieving this involves:
- Creating their communication style and finding their unique voice
- Developing storytelling skills
- Utilizing a data-centric and fact-based approach to communication
- Continual practice and asking for feedback
Capability 6: Foster Innovation
Leaders should collaborate with experts to build a reliable innovation process and a creative environment where new ideas thrive. Essential steps include:
- Developing or enhancing structures that best support innovation
- Documenting and refreshing innovation systems, processes, and practices
- Encouraging people to discover new ways of working
- Aiming to think outside the box and develop a growth mindset
- Trying to be as “tech-savvy” as possible
Capability 7: Cultivate Learning Agility
Leaders should always seek out and learn new things and not be afraid to ask questions. This involves:
- Adopting a lifelong learning mindset
- Seeking opportunities to discover new approaches and skills
- Enhancing problem-solving skills
- Reviewing both successful and unsuccessful case studies
Capability 8: Develop Personal Adaptability
Leaders should be focused on being effective when facing uncertainty and adapting to change with vigor. Therefore, leaders should:
- Be flexible about their approach to facing challenging situations
- Build resilience by effectively managing stress, time, and energy
- Recognize when past approaches do not work in current situations
- Learn from and capitalize on mistakes
Curiosity and Adaptability
With the eight key capabilities in mind, Lerner suggests that curiosity and adaptability are the key skills that everyone needs to thrive in the current environment.
He also advocates for lifelong learning and teaches several key courses at OPIT which can lead to a Bachelor’s Degree in Digital Business.

Many people treat cyber threats and digital fraud as a new phenomenon that only appeared with the development of the internet. But fraud – intentional deceit to manipulate a victim – has always existed; it is just the tools that have changed.
In a recent online course for the Open Institute of Technology (OPIT), AI & Cybersecurity Strategist Tom Vazdar, chair of OPIT’s Master’s Degree in Enterprise Cybersecurity, demonstrated the striking parallels between some of the famous fraud cases of the 18th century and modern cyber fraud.
Why does the history of fraud matter?
Primarily because the psychology and fraud tactics have remained consistent over the centuries. While cybersecurity is a tool that can combat modern digital fraud threats, no defense strategy will be successful without addressing the underlying psychology and tactics.
These historical fraud cases Vazdar addresses offer valuable lessons for current and future cybersecurity approaches.
The South Sea Bubble (1720)
The South Sea Bubble was one of the first stock market crashes in history. While it may not have had the same far-reaching consequences as the Black Thursday crash of 1929 or the 2008 crash, it shows how fraud can lead to stock market bubbles and advantages for insider traders.
The South Sea Company was a British company that emerged to monopolize trade with the Spanish colonies in South America. The company promised investors significant returns but provided no evidence of its activities. This saw the stock prices grow from £100 to £1,000 in a matter of months, then crash when the company’s weakness was revealed.
Many people lost a significant amount of money, including Sir Isaac Newton, prompting the statement, “I can calculate the movement of the stars, but not the madness of men.“
Investors often have no way to verify a company’s claim, making stock markets a fertile ground for manipulation and fraud since their inception. When one party has more information than another, it creates the opportunity for fraud. This can be seen today in Ponzi schemes, tech stock bubbles driven by manipulative media coverage, and initial cryptocurrency offerings.
The Diamond Necklace Affair (1784-1785)
The Diamond Necklace Affair is an infamous incident of fraud linked to the French Revolution. An early example of identity theft, it also demonstrates that the harm caused by such a crime can go far beyond financial.
A French aristocrat named Jeanne de la Mont convinced Cardinal Louis-René-Édouard, Prince de Rohan into thinking that he was buying a valuable diamond necklace on behalf of Queen Marie Antoinette. De la Mont forged letters from the queen and even had someone impersonate her for a meeting, all while convincing the cardinal of the need for secrecy. The cardinal overlooked several questionable issues because he believed he would gain political benefit from the transaction.
When the scheme finally exposed, it damaged Marie Antoinette’s reputation, despite her lack of involvement in the deception. The story reinforced the public perception of her as a frivolous aristocrat living off the labor of the people. This contributed to the overall resentment of the aristocracy that erupted in the French Revolution and likely played a role in Marie Antoinette’s death. Had she not been seen as frivolous, she might have been allowed to live after her husband’s death.
Today, impersonation scams work in similar ways. For example, a fraudster might forge communication from a CEO to convince employees to release funds or take some other action. The risk of this is only increasing with improved technology such as deepfakes.
Spanish Prisoner Scam (Late 1700s)
The Spanish Prisoner Scam will probably sound very familiar to anyone who received a “Nigerian prince” email in the early 2000s.
Victims received letters from a “wealthy Spanish prisoner” who needed their help to access his fortune. If they sent money to facilitate his escape and travel, he would reward them with greater riches when he regained his fortune. This was only one of many similar scams in the 1700s, often involving follow-up requests for additional payments before the scammer disappeared.
While the “Nigerian prince” scam received enough publicity that it became almost unbelievable that people could fall for it, if done well, these can be psychologically sophisticated scams. The stories play on people’s emotions, get them invested in the person, and enamor them with the idea of being someone helpful and important. A compelling narrative can diminish someone’s critical thinking and cause them to ignore red flags.
Today, these scams are more likely to take the form of inheritance fraud or a lottery scam, where, again, a person has to pay an advance fee to unlock a much bigger reward, playing on the common desire for easy money.
Evolution of Fraud
These examples make it clear that fraud is nothing new and that effective tactics have thrived over the centuries. Technology simply opens up new opportunities for fraud.
While 18th-century scammers had to rely on face-to-face contact and fraudulent letters, in the 19th century they could leverage the telegraph for “urgent” communication and newspaper ads to reach broader audiences. In the 20th century, there were telephones and television ads. Today, there are email, social media, and deepfakes, with new technologies emerging daily.
Rather than quack doctors offering miracle cures, we see online health scams selling diet pills and antiaging products. Rather than impersonating real people, we see fake social media accounts and catfishing. Fraudulent sites convince people to enter their bank details rather than asking them to send money. The anonymity of the digital world protects perpetrators.
But despite the technology changing, the underlying psychology that makes scams successful remains the same:
- Greed and the desire for easy money
- Fear of missing out and the belief that a response is urgent
- Social pressure to “keep up with the Joneses” and the “Bandwagon Effect”
- Trust in authority without verification
Therefore, the best protection against scams remains the same: critical thinking and skepticism, not technology.
Responding to Fraud
In conclusion, Vazdar shared a series of steps that people should take to protect themselves against fraud:
- Think before you click.
- Beware of secrecy and urgency.
- Verify identities.
- If it seems too good to be true, be skeptical.
- Use available security tools.
Those security tools have changed over time and will continue to change, but the underlying steps for identifying and preventing fraud remain the same.
For more insights from Vazdar and other experts in the field, consider enrolling in highly specialized and comprehensive programs like OPIT’s Enterprise Security Master’s program.
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