Program Overview

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Master in A.I. and Data Solutions

Overview

Discover the Future of AI in Barcelona

Barcelona, the European capital of innovation and a thriving international tech hub, is at the forefront of global Big Data and Artificial Intelligence projects. The city attracts leading international companies relocating their data and AI operations, creating unparalleled professional opportunities for those ready to lead the charge.

Big Data, AI Solutions, and Generative AI

With our Master in A.I. and Data Solutions, you’ll gain the most sought-after skills in Data and AI, delving deep into the intricacies of Large Language Models (LLMs) and generative AI technologies. You’ll experience firsthand the innovative data-driven opportunities presented by industry leaders.

What will you learn?

Our comprehensive curriculum will transform you into a global professional capable of driving innovation and uncovering insights in any organization. You will:

• Master the latest AI and generative AI technologies, including LLMs.
• Learn to extract and interpret valuable insights from complex datasets.
• Develop strategic solutions across various industries using advanced analytics.
• Engage with real-world projects from top industry leaders.

Career Paths and Opportunities

Graduates of this program will be ready for a range of exciting careers, including:

• Data Scientist: analyzing and interpreting complex data to drive decision-making.
• AI Engineer: developing and implementing AI models and solutions.
• Machine Learning Specialist: creating and refining machine learning algorithms and systems.
• Generative AI Developer: designing and deploying generative AI applications.
• Big Data Analyst: handling and analyzing large datasets to extract meaningful insights.
• AI Consultant: advising organizations on AI strategy and implementation.

Program Details

• Full-Time Program
• Barcelona
• 9 Months
• English
• BTS Top University ranked by QS Stars
• Awarded by BTS and the University of Barcelona
• Starts in October 2025
• Professional Experience
• 60 ECTs
• Available ON CAMPUS/ONLINE

Contents

Project-based learning

Data Science Foundations

During the subject the students will learn how to manage data, perform time series analysis and forecasting in Python. They will learn how to fit data to probability distributions and regression models, use Python/Pandas to perform general statistical analysis in their data, apply appropriate and useful Geographic Information System (GIS) tools and Geostatistics in Python to find spatial data patterns.

Classical Data Analysis

Students will learn analytical skills and the most important supervised and unsupervised learning algorithms for regression, classification and clustering, to apply them to an analytic or business intelligence strategy. They will learn how to use Python libraries to run these data mining algorithms and use the trained models for prediction.

Data Driven Business

The students will understand how big data projects can bring value to an organization, how data can be applied to solve real business problems because of the large amounts of data available generated by digitalization. Student will also develop communication and persuasion skills, since data results and projects usually have to be given and carried out in a company context.

Innovation & Creative Technology

Students will experience the process of discovery, interpretation and ideation. They will learn techniques to identify opportunities and understand customer needs. They will integrate the process of conceptualization and creative design that will help them design innovative digital solutions.

Infrastructure for Big Data

Students will learn how to use software for managing large amounts of data and fast data streams, particulary focusing on distributed systems for storage and processing data with an emphasis on the open source. They will learn how to design efficient system architectures to capture, process and store Big Data, as well as the best practices in provisioning, deploying, tuning and maintaining Big Data systems.

Advanced Data Analysis

As a continuation of the Classical Data Analysis module, this one will develop the skills to deal with complex data types such as a “basket” (a set of elements like a shopping cart), a network/graph, or georeferenced data. Students will learn different methods to analyse each data type, like association rules mining, algorithms, georeferencing, creation of maps and location-aware models.

Big Data Legal and Security

Students will learn what are the legal barriers of the data management and the core security principles in a Big Data project, including confidentiality, integrity and availability (CIA). They will also learn the principles behind symmetric and asymmetric cryptography and they will apply them by building an end-to-end security implementation for a corporate network.

Entrepreneurship

Students will learn to shape opportunities, provide the leadership and build the team to create economic and social value. They will create and develop business models for start-ups based on customer development and continuous validation, managing financial metrics and dealing with investors.

Real-time Data Analysis

Students will learn the specialized data management infrastructures and algorithms needed to deal with challenging data sources. They will learn distributed algorithms, which are specifically designed for large-scale data being processed in a parallel/distributed computing environment. They will also perform operations in data streams, including clustering data, and use the map-reduce paradigm in a distributed setting.

Artificial Intelligence

Students will learn how to use artificial neural networks in data analysis projects. They will learn methods for training neuronal networks, modern neural network architectures and frameworks, text classification and image classification.

Data visualization

The students will learn the skills necessary to explain the processes they performed with the data, including the entire data analysis pipeline, and the obtained results, in an effective and clear way to a broad audience. This includes being able to communicate all assumptions and nuances that this may have. Data visualization paradigms will be introduced and explored in the context of storytelling, describing how to use them to convey complex data-driven messages.

Agile

The students will immerse in the Agile mindset by experimenting the Agile management practices. At the end of this subject they will be able to practice Scrum, understand Kanban, develop and idea from Vision to Deployment from an Agile perspective and define requirements with User Stories.

Program Fees

• The program includes:
  • Awarded by the University of Barcelona. Ranked first university in Spain.
  • Admission process feedback after 24/48 hours of submission of application.
  • High quality instruction & reduced groups of students per class.
  • Connection with the Digital Industry.
  • Available Services per request: special conditions to access one of the best sports club in the city, located right in front of the beach; and a full Health Coverage Insurance.
• PROGRAM FEES: 17.500€ ON CAMPUS/ONLINE

How to Apply

• 1. Apply online or via email – Complete the application or send your application directly to
• 2. Submit your profile : submit your LinkedIn profile or CV and a motivation letter explaining your vision for the future of the digital industry and your role in its transformation. If your profile aligns with the Master, we’ll reach out to schedule a conversation.
• 3. Interview : the Admissions Team will arrange an interview to understand how your profile could match with the Master.
• 4. Admissions review : Our Admissions Board will review your application. We will notify you the Admissions Board decision in the next 48 hours.
• 5. Enrollment : if you are admitted we’ll guide you through the next steps to join BTS.