Cloud computing has quickly become one of the fastest-growing industries. The U.S. Bureau of Labor Statistics estimates that the demand for roles in the industry will grow much faster than the average for all occupations. This means that students today will likely be able to find a career in cloud computing much faster than usual. To further illustrate the point, Indeed currently lists more than 8,000 job openings for cloud computing roles.

Despite that, many companies are seeking only top talent, which quickly reduces the available options and drives up demands (as well as salaries). If you want to get a lucrative job in the industry, you must have the appropriate skillset to match.

However, a general background in IT may no longer be enough. A dedicated cloud computing bachelor degree will provide you with the exact abilities you need to excel in these roles and will allow you to upskill to senior positions quickly.

Why Choose a Bachelor in Cloud Computing?

One of the most common misconceptions about programming jobs—and, by extension, cloud computing—is that you don’t need a degree to land a job.

While you can technically get a job in IT without a degree and go from there, the path to success through independent learning is often rocky. You may need to spend multiple years honing your skills through non-accredited courses and self-learning videos. Even if you do manage to get a role close to cloud computing, you may have a more difficult time acclimating to specific job requirements, and your progression may be limited without a degree.

On the other hand, a bachelor’s degree in IT or computer science provides an excellent foundational background. While you might not use all the theoretical knowledge you learn, finishing a bachelor’s degree gives you a broad range of expertise you can leverage to zero in on a desired career path. Specifically, for a bachelor in cloud computing, the focus is on learning different programming languages and coding practices to allow you to adapt to any platform you may need to use during your future job.

Furthermore, completing a bachelor’s shows that you have persistence and can apply theory to practice in exams and project work as part of your degree.

Additionally, many institutions that offer a bachelor’s degree in cloud computing also have close connections with nearby companies that require these positions to grow. They can provide internships to promising students even before they finish their studies and keep them on as permanent team members afterward.

Understanding the Curriculum of a Cloud Computing Bachelor Degree

Cloud computing is an extensive term that encompasses pretty much every application that accesses remote servers over the internet. As a result, there have been many implementations of the concept, and several programming languages were developed to leverage it.

A Bachelor of Science cloud computing degree (or computer science in general) will often have multiple courses dedicated to learning programming languages at the start. Later, the curriculum moves to dedicated courses that translate those basics into tangible skills and projects.

In general, here’s what you will need to learn:

  • Algebra and advanced mathematics
  • Technical English
  • Computer architecture (hardware)
  • Programming principles
  • Programming languages (C, C++, C#, Java, Node.js and Javascript, Python, Ruby, Golang, etc.)
  • Algorithms and data management
  • Database concepts and management
  • Networking concepts
  • Application development
  • Web development

Additionally, you will likely have courses on machine learning and AI, given how the industry has bloomed around them in the past few years.

Generally, the curriculum for any given bachelor in cloud computing will include theoretical classes first. Later sections or courses will focus more on implementing these concepts in practice.

Alternatively, you can also have courses that more heavily focus on application, such as a bachelor’s degree from OPIT. It covers the theoretical parts as necessary to apply them while students follow practice work and develop projects.

The Best Offline and Online Bachelors in Cloud Computing

Here are some of the best courses and universities you can attend to get a cloud computing bachelor degree.

1. OPIT – Bachelor’s Degree (BSc) in Modern Computer Science

OPIT is one of the leading European higher education institutions that solely focuses on online learning. Due to a more modern design compared to a traditional university, OPIT fully utilizes the benefits of online learning to support students through an array of both theoretical and practical courses.

The bachelor’s degree lasts for six terms and teaches all aspects of computer science, but students can pick elective courses that zero in on cloud computing in later terms. These include cloud architecture, data stacks, cybersecurity in the cloud, and digitalization protocols for converting traditional applications to the cloud. The bachelor’s courses also include an introduction to business management, allowing students to delve into entrepreneurship and become future leaders.

2. Purdue University Global – Bachelor of Science in Cloud Computing and Solutions

Purdue is a U.S.-based university that provides an online four-year bachelor’s degree course. As a degree fully focused on cloud computing, it foregoes most of the basics of computer science. Students learn by following online lessons and applying the theory to practical projects and lab work. Additionally, the program includes project management practices that help students migrate into senior roles.

3. WGU – Cloud Computing Bachelor’s Program

WGU makes its offer extremely lucrative by focusing on some of the most popular cloud computing platforms: Amazon, Azure, and AWS. The program is designed to be completed within three years, with online learning allowing students to accelerate their progress as much as they want. Furthermore, the degree contains over 16 different certificates as part of its curriculum, allowing students to fill in their resumes even before they finish the degree.

4. University of Liverpool – Computer Science With Software Development With a Year in Industry – Offline Degree

The University of Liverpool is one of the top British universities, ranked around 150th in the world. Its computer science degree focuses on teaching theoretical knowledge in the first year, applying that to lab work in the second, and developing projects in the fourth. The third year is dedicated to working in a software development company that works closely with the university. This presents a unique opportunity for students to apply what they learn and develop their skills in real-life scenarios.

5. Morgan State University – Bachelor of Science in Cloud Computing

MSU is a U.S.-based university in Maryland, but it offers a bachelor’s degree in cloud computing as a fully online course. The program is designed for people who are already in the workforce and need a degree to upskill and progress through their careers. It focuses on modern aspects of cloud-based engineering and architecture. The degree lasts three years but contains slightly more general-purpose classes than dedicated courses.

The Online Advantage: Earning Your Bachelor Degree in Cloud Computing Remotely

The advent of online learning has broken traditional barriers to achieving higher education. Since you no longer have to relocate, the price of studying for a bachelor’s goes down dramatically. Furthermore, online classes typically have portions of the coursework as pre-recorded asynchronous lessons. This can be a great option for people with full-time jobs who can’t attend live lessons frequently.

OPIT provides a thorough support system for online students, with regular assessment sessions and thorough career and study advisory.

Career Outcomes With a Bachelor of Science in Cloud Computing

Cloud computing is one of the fastest-growing industries in the world. Most experts in cloud computing have developer or management positions that design and implement applications. Some of the most common positions in the industry include:

  • Cloud architect
  • Cloud network engineer
  • DevOps engineer
  • Cloud database administrator

Regardless of the role, cloud computing is a lucrative career and attracts a high salary.

Industry Certifications and Your Bachelor in Cloud Computing

Certifications are perhaps even more important than just having a bachelor’s degree. They are structured tests that showcase that you have the knowledge and practical aptitude for a platform or programming language. Many bachelor’s degrees in cloud computing, including OPIT, will directly provide students with the knowledge necessary to obtain these certifications, and some have the certifications built into the program.

Financial Investment and ROI of a Bachelor Degree in Cloud Computing

Apart from being an exciting career opportunity in terms of growth, the salaries of cloud engineers are also lucrative. A cloud engineer in Germany typically earns around €65k per year. However, salaries in the U.S. can frequently reach six figures.

So, don’t be put off by the high admission fees for cloud computing bachelor’s degrees. Consider it an investment into a comfortable future. OPIT’s bachelor’s degrees ensure access to higher education by keeping admissions low and providing scholarships.

Start Your Career in Cloud Computing With a Bachelor’s From OPIT

By getting a modern degree in cloud computing, you can get skills that will be relevant in the coming decades as the world increasingly turns to web-based applications. OPIT’s bachelor’s degree in modern computer science will provide you with the breadth of knowledge necessary to progress to leadership positions and ensure an excellent career. Go to OPIT’s course page to find out more and enroll today.

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

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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
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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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