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

Source:


By Chris Torney

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

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

What are the main ethical considerations around AI?

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

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

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

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

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

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

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

Source:

  • Reuters, Published on February 10th, 2025.

By Mike Scott

Summary

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

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

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

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

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

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

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

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

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

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

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

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

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