Table of Contents
What is artificial intelligence?
What does studying artificial intelligence involve?
Reasons to study artificial intelligence
Do you have what it takes to study artificial intelligence?
How to study artificial intelligence: training options
What is artificial intelligence?
Artificial intelligence is the branch of computer science that develops systems capable of performing tasks which, until recently, required human intelligence: recognising images, understanding language, making decisions, learning from experience or solving complex problems.
It is not a single technology, but rather a set of interrelated disciplines.Machine learning enables systems to learn from data without being explicitly programmed. Neural networks mimic the functioning of the human brain to recognise patterns. Natural language processing (NLP) enables machines to understand and generate text in human language. Computer vision allows systems to interpret images and videos.
What makes AI particularly relevant today is its cross-cutting applicability. It is not a technology confined to research laboratories: it is used in medical diagnosis, in the recommendation systems of digital platforms, in self-driving cars, in the detection of banking fraud, and in the virtual assistants we use every day.
What does studying artificial intelligence involve?
Studying artificial intelligence involves much more than just learning to programme algorithms. It means delving into a field that combines mathematics, statistics, computer science and an understanding of human behaviour to create intelligent systems capable of solving real-world problems.
Throughout your studies, you will not only acquire technical skills, but also develop an analytical, critical and problem-solving mindset – a valuable skill in virtually any sector and professional context.
What makes this field particularly attractive is that there is no single professional profile in AI. Depending on your interests, you can specialise in research, product development, consultancy, technology ethics or sector-specific applications. The possibilities are vast and very diverse.
Reasons to study artificial intelligence
There are many good reasons to study artificial intelligence: career-related, financial and personal. We’ll break them down for you one by one below.
A demand that keeps growing
By 2026, the demand for artificial intelligence professionals in Spain will be undeniable. It is projected that more than 52,000 new jobs directly related to AI will be created – 34 per cent more than in 2025 – according to data from the ONTSI and platforms such as LinkedIn and InfoJobs.
Job searches linked to AI have soared by 550 per cent compared with the previous year, and AI skills are already appearing as a key requirement in job adverts analysed in Spain.
Highly competitive salaries
According to Business Insider, AI professionals in Spain see their salaries rise by 10 per cent annually , outpacing other tech roles and sitting well above the sector average. Figures vary depending on experience and specialisation, but generally speaking, it is one of the fields offering the highest financial returns within the Spanish higher education landscape.
A real impact on the world
One of the most compelling reasons to study AI is the scale of its impact. Artificial intelligence is transforming medicine with more accurate diagnoses, improving education through personalised systems, optimising supply chains and making financial systems more efficient.
Working in this field means contributing to changes that affect millions of people. This adds a sense of purpose to one’s career that not all sectors can offer.
Sectoral versatility
Studying artificial intelligence does not tie you to a single sector. You can work in technology, but also in banking, insurance, healthcare, marketing, the automotive industry, manufacturing or education. Spanish companies have already implemented AI solutions into their processes, and it is predicted that 6 out of 10 companies will increase their investment in AI this year , meaning that virtually any organisation needs professionals with this expertise.
This versatility gives you a capacity for adaptability and career mobility that is hard to find in other disciplines.
A constantly expanding field
AI is a field with no apparent limits. Emerging trends such as large language models (LLMs), generative AI and quantum computing suggest that this sector will continue to transform and generate new opportunities for decades to come.
This also means that continuous learning is an integral part of the career path. Anyone studying AI accepts that learning does not end with a degree. Far from being a drawback, this makes the field one of the most stimulating for curious and inquisitive professionals.
Do you have what it takes to study artificial intelligence?
You don’t need to be a maths genius to study AI, but there is a set of characteristics that are well suited to this field:
- You’re passionate about solving problems logically and creatively.
- You’re curious to understand how things work on the inside.
- You enjoy working with data and technology to improve processes or create products.
- You’re able to adapt to a fast-changing environment and aren’t put off by continuous learning.
- You’re interested in the real-world impact of technology on society, not just the technical side of things.
If you recognise yourself in most of these points, artificial intelligence may be exactly the field you’re looking for.
How to study artificial intelligence? Training options
Once you’re clear on the ‘why’, the next step is the ‘how’. There are two main educational pathways, and the choice depends on your starting point and your goals.
A university degree: the most solid foundation
If you’re starting from scratch or want a comprehensive, structured course, a university degree is the most solid route. It provides you with the mathematical, algorithmic and technological foundations you need to understand AI in depth and apply it rigorously.
The UAX Degree in Artificial Intelligence and Computing, delivered on-campus and online , is designed with this approach in mind, featuring modules dedicated to machine learning algorithms, data analysis techniques and software development, combining a solid theoretical foundation with practical projects carried out in collaboration with companies in the sector.
The specialisation master’s degree: the next level
If you already have a foundation in IT, computer science or engineering and are looking to specialise, a Master’s degree is the most effective option. It allows you to delve deeper into specific areas and position yourself for the roles most in demand within the sector.
The UAX Online Master’s in Artificial Intelligence offers an in-depth exploration of high-demand areas such as computer vision, natural language processing and ethics in AI. It focuses on the use of ICT and advanced digital software, the Agile Learning methodology and partnerships with companies to ensure maximum employability. In just 9 months and delivered entirely online, the programme enables you to develop a digital profile, with experience in the most advanced AI techniques, aligned with the real-world needs of companies such as Avanade by Microsoft, Accenture, Telefónica, Hispasat and IBM.
A micro-credential to delve deeper into a specialism in less time
The aim of this fast-track course is to build a solid foundation that enables you to understand the fundamentals of AI and its ethical application in the field of psychology.
Microcredential in Artificial Intelligence and Psychology : Teaches you to understand the applications of AI in assessment, monitoring and psychoeducation, with a particular focus on its ethical and professional limitations. A 50-hour online course to learn how to integrate these tools to support psychological intervention, without replacing professional judgement.
What next? Career opportunities and prospects
The range of career opportunities in artificial intelligence is one of the broadest in the technology sector. From data science to AI consultancy, via machine learning engineering or emerging roles such as the AI Compliance Officer or Prompt Engineer, the options are diverse and in high demand.
Summary
Studying artificial intelligence is one of the most promising educational pathways on the Spanish university scene. The demand for qualified professionals far outstrips supply, the sector’s impact extends to virtually all areas of the economy, and the future prospects are strong.
If you’re wondering why you should study artificial intelligence, the answer lies in several factors: high employability, competitive salaries, versatility across sectors, a real impact on society and the chance to work in a constantly evolving field. Whether you choose an undergraduate degree as a foundation or opt for a specialised master’s degree, the opportunities are real and growing.
Sources:
- International Business Report – Grant Thornton
- Tech salaries in Spain in 2026: AI experts are the highest paid – Business Insider
