University Degree

Master's Degree in Artificial Intelligence

Discover the most sought-after careers in artificial intelligence and become an expert in areas such as robotics engineering, computer vision, and data science.

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Master's Degree in Artificial Intelligence Career Opportunities

Artificial Intelligence has transformed multiple sectors, giving rise to a wide range of career opportunities in AI. Graduates of UTAMED's Master's Degree in Artificial Intelligence will be able to develop advanced skills in the fields of robotics, machine learning and data analysis, enabling them to become leading professionals in the industry.

What are the main job opportunities in artificial intelligence?

Some of the most noteworthy career opportunities in artificial intelligence that this master's degree offers students include machine learning engineers and conversational AI system developers. This degree will therefore enable you to take on key roles in the design, implementation and management of advanced technological solutions that drive efficiency, innovation and competitiveness in a variety of industrial and business sectors.

  • Data mining consultant: Specialist in analysing large volumes of business data to extract useful patterns, detect errors or anomalies and improve operational efficiency.
  • NPL consultant: Applies technologies that enable machines to interpret and use human language. Their work is key in tools such as virtual assistants and automated customer service systems.
  • Machine learning scientist: Designs machine learning models that help companies automate decisions, such as predicting stock shortages or anticipating consumer trends.
  • Computer vision engineer: Develops systems that interpret images or videos to automate tasks such as visual quality control, robot guidance and object detection.
  • Artificial Intelligence Engineer (machine learning engineer): Designs and implements intelligent solutions that solve real problems in sectors such as commerce, healthcare and industry.
  • Artificial Intelligence Systems Architect: Defines the structure and operation of AI systems within organisations, integrating the needs of different areas and technical teams.
  • AI Developer: Programs and builds the software that brings intelligent systems to life, using specific algorithms and AI techniques tailored to each application.
  • Data Scientist: Analyses large data sets (big data) to uncover key information that helps make strategic decisions based on each company's objectives.
  • Technology consultant: Advises companies on how to implement AI-based solutions to improve their processes, products or services, adapting them to their resources and structure.
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Professional profile of the Master's Degree in Artificial Intelligence

With this master's degree, you will acquire key skills to lead technological transformation and face current challenges. You will learn how to optimise processes in different sectors and will be prepared to access various career opportunities in artificial intelligence that are in high demand.

Solving complex problems with AI

It uses machine learning algorithms, deep learning and other advanced artificial intelligence techniques to tackle and solve complex problems.

Applying AI across multiple sectors

Implements artificial intelligence solutions in areas such as healthcare, finance, industry, marketing, education, transport and other strategic sectors.

Leading technology projects with AI

Manages technology initiatives focused on automation, data analysis, computer vision and natural language processing with an innovative approach.

Master key AI tools

Proficient in languages and frameworks such as Python, TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, and other technologies essential to AI development.

Making ethical decisions with AI

Evaluate the responsible use of artificial intelligence, considering its ethical, legal, social and human impacts in different professional contexts.

Performing professional roles in AI

Access high-demand roles such as data scientist, AI engineer, predictive model developer or machine learning expert.