Read the full article below (in Italian):
You’d be hard-pressed to find a more rapidly evolving industry than computer science today. It seems like new solutions and applications in the field pop up every day, and the market has never been hungrier for talent.
If you’re interested in computer science, you’re in luck. This industry has some of the best-paid jobs worldwide and is full of exciting developments and novel challenges. Of course, many people are competing for those work positions, which is why you must do everything in your power to gain an advantage.
With an online masters computer science program, you can get the edge over other candidates in the market. Completing such a program will provide you with cutting-edge knowledge and equip you with the most relevant skills. In other words, an online MSc computer science program may help you start a career in the field.
But choosing the best online masters computer science program may be more complex than it seems. Numerous institutions offer this type of education, so finding the top options among the crowd could be a challenge.
This article will serve as your complete guide to online masters computer science programs. We’ll explain what to look for, recommend some of the leading options, tell you how to apply, and outline what awaits once you graduate.
Factors to Consider When Choosing an Online Masters in Computer Science Program
It goes without saying that you shouldn’t enroll in a master’s program without closely examining your options. Be sure to pay attention to specific criteria when considering where you’ll get your online MSc computer science degree:
- Accreditation: You’ll want to graduate at an accredited institution with degrees that are recognized worldwide. Other universities and employers won’t consider unaccredited degrees particularly valuable or trustworthy. Plus, accreditation serves as proof that an educational institution meets certain international standards.
- Curriculum and specializations: Your choice of an online masters computer science program will depend on the classes provided. The curriculum should be appropriate for your purposes and goals. And since computer science is a broad field, you’ll want to ensure the program has the right specialization options for you.
- Faculty expertise: A master’s program will often be only as efficient as the people teaching it. Faculty members at your program of choice should, of course, be experts. They should also have extensive experience to provide practical guidance and show you how computer science is applied in real-life.
- Program format and flexibility: Online programs have the major advantage of not requiring you to physically attend classes. This means that a certain level of flexibility is expected, both in terms of day-to-day lectures and deadlines. The flexibility principle often extends to the curriculum itself, with many programs offering a large number of electives.
- Tuition fees and financial aid: Considering the tuition price is always worthwhile. Like everything else in the market, master’s programs can be under- or overpriced. You should take care that you’re getting the right value for a reasonable sum. Plus, there are usually financial aid options available to help soften the financial impact.
- Student support services: Lastly, the best online masters computer science programs will offer extensive support to students. This can represent a massive benefit when you need counseling or extra guidance. Even better, your program might include career support, nurturing you from student to graduate to employee.
Top Online Masters in Computer Science Programs
1. International University of Applied Sciences (IU) – Master’s in Computer Science
This program offers practical education in computer science. Focusing mostly on artificial intelligence, cybersecurity, and data science, it lasts between two and four years, depending on whether you study full or part-time.
Key Features:
- Dual degree option available
- Accredited according to European standards
- Entirely flexible
To enter this program, you’ll need to provide a computer science-focused undergraduate degree from a recognized institution. English proficiency will also be mandatory. The monthly tuition fee is €278 for full-time, €209 for part-time (three years), and €165 for part-time (four years) students.
2. University of Essex – MSc Computer Science
This two-year program by the University of Essex starts by examining the theoretical fundamentals. Then, it allows you to choose a specific field of focus and study it in detail through lectures and practical applications.
Key Features:
- BCS accreditation
- Tuition fee covers learning tools like programming languages
- Suitable for students from a different background
You can apply for this program with an undergraduate degree or if you’ve worked in a relevant field for a minimum of three years. English language qualification is acceptable from IELTS or a similar school. If lacking such qualifications, the University of Essex also lets you take a free online test. The tuition fees are £12,167 for UK and £12,428 for international students with possibilities of scholarships and discounts.
3. MIA Digital University – Master in Computer Science – Cybersecurity, Data Analytics, and Artificial Intelligence
Based in Barcelona, Spain, the MIA Digital University offers a computer science program that tackles some of the most requested profiles in the industry. You’ll learn about the latest developments in cybersecurity, data analytics, and AI, as well as how to apply them in practice. The program lasts for one year.
Key Features:
- Dual degree with Universidad a Distancia de Madrid (Udima)
- Student internships offered
- Heavily project-based
Application for this program will require a previous degree, which doesn’t have to be from the computer science field. You’ll also need to submit a resume or CV and a valid ID. The price of the program is €3,900, with scholarships available.
4. BTH Sweden – Master’s Program in Software Engineering
Somewhat more specific than other programs on the list, this MSc focuses on software engineering. However, the program also leans heavily into data science, machine learning, and AI. For that reason, you may view it as a computer science program with an emphasis on software engineering. The program is two years long.
Key Features:
- Mixed-time structure
- Work in groups and individually
- Based on leading software engineering research
To apply for this program, you’ll need a BSc degree in Engineering with a minimum 15-credit degree project. Professional experience of no less than two years in software development is also required, preferably with programming involved. The program doesn’t have a tuition fee for UK students, while others will need to pay SEK 60,000 for each semester.
How to Apply for an Online Masters in Computer Science Program
Precisely how you apply for an online masters computer science program will depend on the institution. There’s no universal application process, but you can keep certain guidelines in mind.
First, get detailed information about the requirements. Most master’s programs will require previous education in the field, although some may accept provable work experience instead of a degree.
Certain programs will also ask for a letter of recommendation and statement of purpose. But even if these documents aren’t requested, including them in your application will usually be a plus. Also, online MSc computer science programs are commonly held in English, so you’ll need a level of language proficiency and the appropriate certification.
Learning all of the relevant information in time and getting your documents in order will be pivotal. The last thing you’d want to do is miss out on a program by submitting an incomplete application. Additionally, you’ll have the greatest chances of success if you apply for a program with requirements you’re certain you’ll meet.
Every program will have specified deadlines and dates for application, interviews, covering the fees, and enrollment. Naturally, missing those dates would likely result in you not being accepted, so do your best to stay on track.
Career Prospects for Graduates of Online Masters in Computer Science Programs
Computer science graduates have plenty of options in the job market. Experts in this field are needed in various industries, including finance, IT, healthcare, and commerce.
Depending on your specialization, you could work in programming, database management, cybersecurity, robotics, network engineering, etc. The average base yearly salary for a computer science MSc graduate is €56,000. Of course, this will vary widely depending on your field of expertise, industry, and experience.
Your online masters computer science degree will also allow you to continue your education. You can move forward to different specializations, either in a particular field or interdisciplinary. In addition, an MSc may make you eligible for a PhD program, if you’re interested in further academic progress.
Complete an Online MSc Computer Science Program and Start a Rewarding Career
Choosing an online MSc computer science program that fits your goals can be an immensely valuable career and educational move. This degree will give you an advantage in the job market and help you hone your professional skills. Plus, enrolling in a postgraduate program will create networking opportunities that may be of great importance.
If getting an MSc in computer science sounds enticing, there’s no reason not to start working on it right now. Research the programs that suit your needs and don’t hesitate to apply. You’ll be making a worthwhile step in the right direction.
-
From the same author
Read the articleSource:
- Agenda Digitale, published on June 16th, 2025
By Lokesh Vij, Professor of Cloud Computing Infrastructure, Cloud Development, Cloud Computing Automation and Ops and Cloud Data Stacks at OPIT – Open Institute of Technology
NIST identifies five key characteristics of cloud computing: on-demand self-service, network access, resource pooling, elasticity, and metered service. These pillars explain the success of the global cloud market of 912 billion in 2025
Read the articleYou’ve probably seen two of the most recent popular social media trends. The first is creating and posting your personalized action figure version of yourself, complete with personalized accessories, from a yoga mat to your favorite musical instrument. There is also the Studio Ghibli trend, which creates an image of you in the style of a character from one of the animation studio’s popular films.
Both of these are possible thanks to OpenAI’s GPT-4o-powered image generator. But what are you risking when you upload a picture to generate this kind of content? More than you might imagine, according to Tom Vazdar, chair of cybersecurity at the Open Institute of Technology (OPIT), in a recent interview with Wired. Let’s take a closer look at the risks and how this issue ties into the issue of responsible artificial intelligence.
Uploading Your Image
To get a personalized image of yourself back from ChatGPT, you need to upload an actual photo, or potentially multiple images, and tell ChatGPT what you want. But in addition to using your image to generate content for you, OpenAI could also be using your willingly submitted image to help train its AI model. Vazdar, who is also CEO and AI & Cybersecurity Strategist at Riskoria and a board member for the Croatian AI Association, says that this kind of content is “a gold mine for training generative models,” but you have limited power over how that image is integrated into their training strategy.
Plus, you are uploading much more than just an image of yourself. Vazdar reminds us that we are handing over “an entire bundle of metadata.” This includes the EXIF data attached to the image, such as exactly when and where the photo was taken. And your photo may have more content in it than you imagine, with the background – including people, landmarks, and objects – also able to be tied to that time and place.
In addition to this, OpenAI also collects data about the device that you are using to engage with the platform, and, according to Vazdar, “There’s also behavioral data, such as what you typed, what kind of image you asked for, how you interacted with the interface and the frequency of those actions.”
After all that, OpenAI knows a lot about you, and soon, so could their AI model, because it is studying you.
How OpenAI Uses Your Data
OpenAI claims that they did not orchestrate these social media trends simply to get training data for their AI, and that’s almost certainly true. But they also aren’t denying that access to that freely uploaded data is a bonus. As Vazdar points out, “This trend, whether by design or a convenient opportunity, is providing the company with massive volumes of fresh, high-quality facial data from diverse age groups, ethnicities, and geographies.”
OpenAI isn’t the only company using your data to train its AI. Meta recently updated its privacy policy to allow the company to use your personal information on Meta-related services, such as Facebook, Instagram, and WhatsApp, to train its AI. While it is possible to opt-out, Meta isn’t advertising that fact or making it easy, which means that most users are sharing their data by default.
You can also control what happens with your data when using ChatGPT. Again, while not well publicized, you can use ChatGPT’s self-service tools to access, export, and delete your personal information, and opt out of having your content used to improve OpenAI’s model. Nevertheless, even if you choose these options, it is still worth it to strip data like location and time from images before uploading them and to consider the privacy of any images, including people and objects in the background, before sharing.
Are Data Protection Laws Keeping Up?
OpenAI and Meta need to provide these kinds of opt-outs due to data protection laws, such as GDPR in the EU and the UK. GDPR gives you the right to access or delete your data, and the use of biometric data requires your explicit consent. However, your photo only becomes biometric data when it is processed using a specific technical measure that allows for the unique identification of an individual.
But just because ChatGPT is not using this technology, doesn’t mean that ChatGPT can’t learn a lot about you from your images.
AI and Ethics Concerns
But you might wonder, “Isn’t it a good thing that AI is being trained using a diverse range of photos?” After all, there have been widespread reports in the past of AI struggling to recognize black faces because they have been trained mostly on white faces. Similarly, there have been reports of bias within AI due to the information it receives. Doesn’t sharing from a wide range of users help combat that? Yes, but there is so much more that could be done with that data without your knowledge or consent.
One of the biggest risks is that the data can be manipulated for marketing purposes, not just to get you to buy products, but also potentially to manipulate behavior. Take, for instance, the Cambridge Analytica scandal, which saw AI used to manipulate voters and the proliferation of deepfakes sharing false news.
Vazdar believes that AI should be used to promote human freedom and autonomy, not threaten it. It should be something that benefits humanity in the broadest possible sense, and not just those with the power to develop and profit from AI.
Responsible Artificial Intelligence
OPIT’s Master’s in Responsible AI combines technical expertise with a focus on the ethical implications of AI, diving into questions such as this one. Focusing on real-world applications, the course considers sustainable AI, environmental impact, ethical considerations, and social responsibility.
Completed over three or four 13-week terms, it starts with a foundation in technical artificial intelligence and then moves on to advanced AI applications. Students finish with a Capstone project, which sees them apply what they have learned to real-world problems.
-
Go to all authors
Related posts
Source:
- Agenda Digitale, published on June 16th, 2025
By Lokesh Vij, Professor of Cloud Computing Infrastructure, Cloud Development, Cloud Computing Automation and Ops and Cloud Data Stacks at OPIT – Open Institute of Technology
NIST identifies five key characteristics of cloud computing: on-demand self-service, network access, resource pooling, elasticity, and metered service. These pillars explain the success of the global cloud market of 912 billion in 2025
Read the full article below (in Italian):
You’ve probably seen two of the most recent popular social media trends. The first is creating and posting your personalized action figure version of yourself, complete with personalized accessories, from a yoga mat to your favorite musical instrument. There is also the Studio Ghibli trend, which creates an image of you in the style of a character from one of the animation studio’s popular films.
Both of these are possible thanks to OpenAI’s GPT-4o-powered image generator. But what are you risking when you upload a picture to generate this kind of content? More than you might imagine, according to Tom Vazdar, chair of cybersecurity at the Open Institute of Technology (OPIT), in a recent interview with Wired. Let’s take a closer look at the risks and how this issue ties into the issue of responsible artificial intelligence.
Uploading Your Image
To get a personalized image of yourself back from ChatGPT, you need to upload an actual photo, or potentially multiple images, and tell ChatGPT what you want. But in addition to using your image to generate content for you, OpenAI could also be using your willingly submitted image to help train its AI model. Vazdar, who is also CEO and AI & Cybersecurity Strategist at Riskoria and a board member for the Croatian AI Association, says that this kind of content is “a gold mine for training generative models,” but you have limited power over how that image is integrated into their training strategy.
Plus, you are uploading much more than just an image of yourself. Vazdar reminds us that we are handing over “an entire bundle of metadata.” This includes the EXIF data attached to the image, such as exactly when and where the photo was taken. And your photo may have more content in it than you imagine, with the background – including people, landmarks, and objects – also able to be tied to that time and place.
In addition to this, OpenAI also collects data about the device that you are using to engage with the platform, and, according to Vazdar, “There’s also behavioral data, such as what you typed, what kind of image you asked for, how you interacted with the interface and the frequency of those actions.”
After all that, OpenAI knows a lot about you, and soon, so could their AI model, because it is studying you.
How OpenAI Uses Your Data
OpenAI claims that they did not orchestrate these social media trends simply to get training data for their AI, and that’s almost certainly true. But they also aren’t denying that access to that freely uploaded data is a bonus. As Vazdar points out, “This trend, whether by design or a convenient opportunity, is providing the company with massive volumes of fresh, high-quality facial data from diverse age groups, ethnicities, and geographies.”
OpenAI isn’t the only company using your data to train its AI. Meta recently updated its privacy policy to allow the company to use your personal information on Meta-related services, such as Facebook, Instagram, and WhatsApp, to train its AI. While it is possible to opt-out, Meta isn’t advertising that fact or making it easy, which means that most users are sharing their data by default.
You can also control what happens with your data when using ChatGPT. Again, while not well publicized, you can use ChatGPT’s self-service tools to access, export, and delete your personal information, and opt out of having your content used to improve OpenAI’s model. Nevertheless, even if you choose these options, it is still worth it to strip data like location and time from images before uploading them and to consider the privacy of any images, including people and objects in the background, before sharing.
Are Data Protection Laws Keeping Up?
OpenAI and Meta need to provide these kinds of opt-outs due to data protection laws, such as GDPR in the EU and the UK. GDPR gives you the right to access or delete your data, and the use of biometric data requires your explicit consent. However, your photo only becomes biometric data when it is processed using a specific technical measure that allows for the unique identification of an individual.
But just because ChatGPT is not using this technology, doesn’t mean that ChatGPT can’t learn a lot about you from your images.
AI and Ethics Concerns
But you might wonder, “Isn’t it a good thing that AI is being trained using a diverse range of photos?” After all, there have been widespread reports in the past of AI struggling to recognize black faces because they have been trained mostly on white faces. Similarly, there have been reports of bias within AI due to the information it receives. Doesn’t sharing from a wide range of users help combat that? Yes, but there is so much more that could be done with that data without your knowledge or consent.
One of the biggest risks is that the data can be manipulated for marketing purposes, not just to get you to buy products, but also potentially to manipulate behavior. Take, for instance, the Cambridge Analytica scandal, which saw AI used to manipulate voters and the proliferation of deepfakes sharing false news.
Vazdar believes that AI should be used to promote human freedom and autonomy, not threaten it. It should be something that benefits humanity in the broadest possible sense, and not just those with the power to develop and profit from AI.
Responsible Artificial Intelligence
OPIT’s Master’s in Responsible AI combines technical expertise with a focus on the ethical implications of AI, diving into questions such as this one. Focusing on real-world applications, the course considers sustainable AI, environmental impact, ethical considerations, and social responsibility.
Completed over three or four 13-week terms, it starts with a foundation in technical artificial intelligence and then moves on to advanced AI applications. Students finish with a Capstone project, which sees them apply what they have learned to real-world problems.
Have questions?
Visit our FAQ page or get in touch with us!
WhatsApp
Write us at +39 335 576 0263
Email
Get in touch at hello@opit.com
Book a meeting
Talk to one of our Study Advisors
We are international
We can speak in:
