According to Statista, close to 85% of people in the EU use the Internet daily. That’s a huge population that demands a working digital infrastructure and expects online services to function seamlessly. This has resulted in extreme demands for digitizing online services across industries and sectors, with seven of the 10 most prominent companies in the world focusing on digital platforms. The process has been dubbed the Fourth Industrial Revolution.

With the advent of digital-first business accelerated by the COVID-19 pandemic, many companies are seeking experts in digital transformation to adapt to new practices. These positions are highly sought after and compensated accordingly, with the average yearly salary for digital transformation experts in Germany being €96K. In the U.S., similar positions can pay up to $200K per year.

That’s where the best online master’s degrees in digital transformation come in. Outfitted with future-proof knowledge and practices, you, too, can lead companies in making these pivotal changes. What’s important is to choose the best programs—like the one from OPIT—to give you the necessary edge and expertise in this forward-facing career.

Understanding the Value of Online Education in Digital Transformation

At its core, digital transformation is firmly entrenched in technology use and relies on many principles brought out by rapid globalization. All industries rely on technology and digital systems in one way or another, whether those are services, sales, marketing, or even production. And technology is changing more quickly than the educational systems can keep up.

With online education, the curriculum can adapt to the most recent advancements in the industries, from optimized data tracking to AI use. It allows direct access and a deeper dive into the same platforms you’ll be using during practical work. The basic practices you learn during an online curriculum can be immediately applied to real-life work and extrapolated onto custom projects in your career.

Furthermore, online teaching evens out educational opportunities across the globe. So long as you have an internet connection, you can access world-class education piloted by leaders regardless of the institution you wish to enroll in.

Online learning also allows you to set your own learning pace. It’s an excellent option if you’re already a career professional who wants to be more aligned with the needs of the modern world while still working full-time or providing for your family.

What to Look For in Top Online Digital Transformation Programs

With so many online and offline teaching programs that promise state-of-the-art education in digital transformation, it can be extremely challenging to find the best options. Here’s what you should look for in your digital transformation degree or course:

  • Curriculum relevance: Digital transformation combines data science, management, and analysis and how technology affects businesses and entrepreneurs, which should be must-haves in the program. Also, look for classes that focus on engineering, finance, project or product management, and marketing.
  • Innovative teaching: Due to the subject’s inherent reliance on available technology, opt for programs that have interactive tests, simulations of real-life events and platforms, and real-world practice projects.
  • Industry partnerships: Look for programs supported by leading digital-first companies or those that provide internships and real-life projects as part of the dissertation.
  • Accreditation: Find programs that are accepted as fully accredited Higher Education Institutions, such as the European Qualifications Framework (EQF), EAHEA, EQUIS, AMBA, and AACSB, or a member of an international body such as ENQA. It will ensure your degree is universally accepted.
  • One-on-one teaching: Apart from traditional group teaching, look for courses that allow for dedicated one-on-one supplemental teaching and mentorship.
  • Modern concepts: The course doesn’t need to teach just the theory of the currently dominant technologies and practices but also set up future concepts and teach a theoretical basis that accounts for future advancements.

Best Online Masters in Digital Transformation

Here are the top five options for your online digital transformation degree.

OPIT’s MSc in Applied Digital Business

Developed by industry leaders from modern educational institutions and leading companies such as Amazon, the EQF-accredited Open Institute of Technology has built the 18-month course in Applied Digital Business from the ground up. As a result, the course aims to train students for careers in digital transformation, data science, marketing, and business analysis. Due to its online-first nature, the course immerses you into the digital management sphere from the get-go, guiding you via a combination of theoretical analysis and practical projects.

In the first term, the program provides a detailed post-graduate education in data science, digital project management, problem-solving in the digital era, and customer value management analysis. In the second term, the course focuses on digital transformation, platform, and project management, as well as finance in the digital-driven economy. Finally, the course ends with a long-term research capstone project to consolidate your skills with full support from a faculty mentor.

It’s one of the most versatile programs available that will allow you to transfer your existing skills into modern practices and create opportunities for growth in both current and emerging industries. With support from global industry leaders, you get access to a wide network of peers to set you up for success.

University of Hull Online – MSc in Digital Transformation

This is a focused 2-year program in digital transformation, teaching the relevance of emerging technologies in modern digital systems, such as AI, blockchain, 3D printing, and quantum computing. However, the curriculum also contains subjects that touch on information and project management, how customers affect digital businesses, and digital innovation and strategy development. The program is fully online with a part-time commitment and optional group webinars, with the University of Hull accredited by AMBA.

University of Edinburgh Online – MSc in Digital Education

While not a focused master’s degree in digital transformation, this degree in digital education provides a well-rounded theoretical basis for working in the digital sphere. It focuses on how digitization will affect education, making it a lucrative choice for people employed in academia who want to future-proof their skills. It lasts from two to six years of part-time online study, and the university is currently ranked among the top 20 in the world.

ESSCA Online Campus – MSc in International Business 4.0 – Leading Green & Digital Transformation

ESSCA Online is a triple-accredited online school that teaches international business practices, digital transformation techniques, and sustainable operation management. It also provides an overview of blockchain, Web3, the metaverse, project management, fintech, and data analysis. It’s a 12- or 24-month program with case study programs and consulting projects with companies affiliated with ESSCA.

University of South Wales – MSc in Leading Digital Transformation

This degree course focuses on leadership, digital technologies, and innovation in the digital field, with a particular focus on the healthcare sector. However, it also teaches UX design, management within digital-only teams, and agile business practices. The program lasts for two years of part-time study (half a day each week) and is delivered through online real-time courses with guests from leading companies.

Why Opt for OPIT’s Digital Transformation Education Online

Traditional university programs commonly use the same in-person curriculum and just deliver the content online. However, OPIT’s education system is fully tuned towards online learning. You get to interact with lecturers worldwide and learn from industry leaders in real-time or on-demand. The program combines theoretical knowledge on modern topics with practical exams and assignments that put it to the test to ensure it sticks.

OPIT’s curriculum is also designed to be future-proof. The skills you learn in the master’s degree for digital transformation will be useful in solving future challenges with yet-to-be-conceived technology. It ensures that your career can last for years with minimal re-skilling and creates a path of lifetime improvement through practice.

Start Your Digital Transformation Journey

Earning a post-graduate degree in emerging technologies and concepts can push you forward as an expert for years to come. Choose OPIT as one of the best online digital transformation degree options and receive a stellar combination of theory and practice to provide you with real-world skills crucial for career development.

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Il Sole 24 Ore: Integrating Artificial Intelligence into the Enterprise – Challenges and Opportunities for CEOs and Management
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Expert Pierluigi Casale analyzes the adoption of AI by companies, the ethical and regulatory challenges and the differentiated approach between large companies and SMEs

By Gianni Rusconi

Easier said than done: to paraphrase the well-known proverb, and to place it in the increasingly large collection of critical issues and opportunities related to artificial intelligence, the task that CEOs and management have to adequately integrate this technology into the company is indeed difficult. Pierluigi Casale, professor at OPIT (Open Institute of Technology, an academic institution founded two years ago and specialized in the field of Computer Science) and technical consultant to the European Parliament for the implementation and regulation of AI, is among those who contributed to the definition of the AI ​​Act, providing advice on aspects of safety and civil liability. His task, in short, is to ensure that the adoption of artificial intelligence (primarily within the parliamentary committees operating in Brussels) is not only efficient, but also ethical and compliant with regulations. And, obviously, his is not an easy task.

The experience gained over the last 15 years in the field of machine learning and the role played in organizations such as Europol and in leading technology companies are the requirements that Casale brings to the table to balance the needs of EU bodies with the pressure exerted by American Big Tech and to preserve an independent approach to the regulation of artificial intelligence. A technology, it is worth remembering, that implies broad and diversified knowledge, ranging from the regulatory/application spectrum to geopolitical issues, from computational limitations (common to European companies and public institutions) to the challenges related to training large-format language models.

CEOs and AI

When we specifically asked how CEOs and C-suites are “digesting” AI in terms of ethics, safety and responsibility, Casale did not shy away, framing the topic based on his own professional career. “I have noticed two trends in particular: the first concerns companies that started using artificial intelligence before the AI ​​Act and that today have the need, as well as the obligation, to adapt to the new ethical framework to be compliant and avoid sanctions; the second concerns companies, like the Italian ones, that are only now approaching this topic, often in terms of experimental and incomplete projects (the expression used literally is “proof of concept”, ed.) and without these having produced value. In this case, the ethical and regulatory component is integrated into the adoption process.”

In general, according to Casale, there is still a lot to do even from a purely regulatory perspective, due to the fact that there is not a total coherence of vision among the different countries and there is not the same speed in implementing the indications. Spain, in this regard, is setting an example, having established (with a royal decree of 8 November 2023) a dedicated “sandbox”, i.e. a regulatory experimentation space for artificial intelligence through the creation of a controlled test environment in the development and pre-marketing phase of some artificial intelligence systems, in order to verify compliance with the requirements and obligations set out in the AI ​​Act and to guide companies towards a path of regulated adoption of the technology.

Read the full article below (in Italian):

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The Lucky Future: How AI Aims to Change Everything
OPIT - Open Institute of Technology
OPIT - Open Institute of Technology
Apr 10, 2025 7 min read

There is no question that the spread of artificial intelligence (AI) is having a profound impact on nearly every aspect of our lives.

But is an AI-powered future one to be feared, or does AI offer the promise of a “lucky future.”

That “lucky future” prediction comes from Zorina Alliata, principal AI Strategist at Amazon and AI faculty member at Georgetown University and the Open Institute of Technology (OPIT), in her recent webinar “The Lucky Future: How AI Aims to Change Everything” (February 18, 2025).

However, according to Alliata, such a future depends on how the technology develops and whether strategies can be implemented to mitigate the risks.

How AI Aims to Change Everything

For many people, AI is already changing the way they work. However, more broadly, AI has profoundly impacted how we consume information.

From the curation of a social media feed and the summary answer to a search query from Gemini at the top of your Google results page to the AI-powered chatbot that resolves your customer service issues, AI has quickly and quietly infiltrated nearly every aspect of our lives in the past few years.

While there have been significant concerns recently about the possibly negative impact of AI, Alliata’s “lucky future” prediction takes these fears into account. As she detailed in her webinar, a future with AI will have to take into consideration:

  • Where we are currently with AI and future trajectories
  • The impact AI is having on the job landscape
  • Sustainability concerns and ethical dilemmas
  • The fundamental risks associated with current AI technology

According to Alliata, by addressing these risks, we can craft a future in which AI helps individuals better align their needs with potential opportunities and limitations of the new technology.

Industry Applications of AI

While AI has been in development for decades, Alliata describes a period known as the “AI winter” during which educators like herself studied AI technology, but hadn’t arrived at a point of practical applications. Contributing to this period of uncertainty were concerns over how to make AI profitable as well.

That all changed about 10-15 years ago when machine learning (ML) improved significantly. This development led to a surge in the creation of business applications for AI. Beginning with automation and robotics for repetitive tasks, the technology progressed to data analysis – taking a deep dive into data and finding not only new information but new opportunities as well.

This further developed into generative AI capable of completing creative tasks. Generative AI now produces around one billion words per day, compared to the one trillion produced by humans.

We are now at the stage where AI can complete complex tasks involving multiple steps. In her webinar, Alliata gave the example of a team creating storyboards and user pathways for a new app they wanted to develop. Using photos and rough images, they were able to use AI to generate the code for the app, saving hundreds of hours of manpower.

The next step in AI evolution is Artificial General Intelligence (AGI), an extremely autonomous level of AI that can replicate or in some cases exceed human intelligence. While the benefits of such technology may readily be obvious to some, the industry itself is divided as to not only whether this form of AI is close at hand or simply unachievable with current tools and technology, but also whether it should be developed at all.

This unpredictability, according to Alliata, represents both the excitement and the concerns about AI.

The AI Revolution and the Job Market

According to Alliata, the job market is the next area where the AI revolution can profoundly impact our lives.

To date, the AI revolution has not resulted in widespread layoffs as initially feared. Instead of making employees redundant, many jobs have evolved to allow them to work alongside AI. In fact, AI has also created new jobs such as AI prompt writer.

However, the prediction is that as AI becomes more sophisticated, it will need less human support, resulting in a greater job churn. Alliata shared statistics from various studies predicting as many as 27% of all jobs being at high risk of becoming redundant from AI and 40% of working hours being impacted by language learning models (LLMs) like Chat GPT.

Furthermore, AI may impact some roles and industries more than others. For example, one study suggests that in high-income countries, 8.5% of jobs held by women were likely to be impacted by potential automation, compared to just 3.9% of jobs held by men.

Is AI Sustainable?

While Alliata shared the many ways in which AI can potentially save businesses time and money, she also highlighted that it is an expensive technology in terms of sustainability.

Conducting AI training and processing puts a heavy strain on central processing units (CPUs), requiring a great deal of energy. According to estimates, Chat GPT 3 alone uses as much electricity per day as 121 U.S. households in an entire year. Gartner predicts that by 2030, AI could consume 3.5% of the world’s electricity.

To reduce the energy requirements, Alliata highlighted potential paths forward in terms of hardware optimization, such as more energy-efficient chips, greater use of renewable energy sources, and algorithm optimization. For example, models that can be applied to a variety of uses based on prompt engineering and parameter-efficient tuning are more energy-efficient than training models from scratch.

Risks of Using Generative AI

While Alliata is clearly an advocate for the benefits of AI, she also highlighted the risks associated with using generative AI, particularly LLMs.

  • Uncertainty – While we rely on AI for answers, we aren’t always sure that the answers provided are accurate.
  • Hallucinations – Technology designed to answer questions can make up facts when it does not know the answer.
  • Copyright – The training of LLMs often uses copyrighted data for training without permission from the creator.
  • Bias – Biased data often trains LLMs, and that bias becomes part of the LLM’s programming and production.
  • Vulnerability – Users can bypass the original functionality of an LLM and use it for a different purpose.
  • Ethical Risks – AI applications pose significant ethical risks, including the creation of deepfakes, the erosion of human creativity, and the aforementioned risks of unemployment.

Mitigating these risks relies on pillars of responsibility for using AI, including value alignment of the application, accountability, transparency, and explainability.

The last one, according to Alliata, is vital on a human level. Imagine you work for a bank using AI to assess loan applications. If a loan is denied, the explanation you give to the customer can’t simply be “Because the AI said so.” There needs to be firm and explainable data behind the reasoning.

OPIT’s Masters in Responsible Artificial Intelligence explores the risks and responsibilities inherent in AI, as well as others.

A Lucky Future

Despite the potential risks, Alliata concludes that AI presents even more opportunities and solutions in the future.

Information overload and decision fatigue are major challenges today. Imagine you want to buy a new car. You have a dozen features you desire, alongside hundreds of options, as well as thousands of websites containing the relevant information. AI can help you cut through the noise and narrow the information down to what you need based on your specific requirements.

Alliata also shared how AI is changing healthcare, allowing patients to understand their health data, make informed choices, and find healthcare professionals who meet their needs.

It is this functionality that can lead to the “lucky future.” Personalized guidance based on an analysis of vast amounts of data means that each person is more likely to make the right decision with the right information at the right time.

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