MSc in
ARTIFICIAL INTELLIGENCE
APPLIED TO SPORTS

Learn from the best and step into a cutting-edge industry.

ABOUT THE MASTER

The MSc in Artificial Intelligence Applied to Sports is an innovative educational initiative that blends advanced technology with sports, addressing the growing demand for qualified professionals. In a digitized world where traditional analytical methods are no longer sufficient, this program aims to train specialists capable of applying artificial intelligence and data analysis to revolutionize the sports sector, enhancing performance and management in clubs and institutions.

Throughout the program, students will develop skills in advanced computational techniques, including machine learning algorithms, deep learning frameworks, and Python programming, applied to practical cases in sports. The curriculum spans multiple disciplines, from technical-tactical analysis and physiotherapy to strategy optimization and fan engagement. Additionally, students will learn to manage and analyze large volumes of unstructured data, such as images, videos, and social media content, extracting key insights for informed decision-making.

Designed by experts and supported by leading institutions in sports and artificial intelligence, this program equips participants to lead in the tech-sports domain. Students will acquire tools to identify patterns and develop effective strategies, positioning themselves as pioneers in the digital transformation of sports.

REQUEST INFORMATION

Olocip is a pioneering company in the application of artificial intelligence, with extensive experience in developing innovative and groundbreaking solutions, supported by highly qualified professionals in this field.

Its solutions have assisted private entities and public organizations worldwide in their digital transformation processes.

In the realm of sports and corporate management, Olocip offers services for the creation and management of platforms tailored to clients’ needs. These platforms are based on the centralization and exploitation of data through Data Lakehouses, data analysis, and artificial intelligence. Notably, Olocip stands out for its cutting-edge solutions in scouting and performance analysis.

WHO IT’S FOR

The Artificial Intelligence Applied to Sports training program is aimed at professionals with a technical background (engineering, mathematics, statistics, etc.) and experience in IT, who are interested in applying artificial intelligence and data analysis in the sports sector.

Its goal is to train specialists capable of developing advanced machine learning and deep learning models to improve sports performance and event management. The program also seeks to address the needs of data analysts and IT professionals in sports clubs and federations, providing tools to understand and apply AI in specific sports contexts.

In summary, the course bridges technology and sports, preparing a new generation of experts in a highly sought-after field.

REQUEST INFORMATION

Career Opportunities

Graduates of the Master’s in Artificial Intelligence in Sports can pursue diverse career paths across various sectors. Here are some possibilities:

Sports Data Analyst

Graduates can work as data analysts in sports clubs, federations, or companies specializing in sports data analysis. They would be responsible for collecting, analyzing, and interpreting data to provide valuable insights into athlete performance, team strategies, and market trends.

Sports Software Developer

Graduates can work on developing software and applications specifically for the sports sector, leveraging AI techniques to create innovative solutions that enhance training, team management, or the spectator experience.

AI Consultant in Sports

Graduates can offer specialized AI consulting for sports clubs, federations, or companies looking to implement AI solutions in their processes and operations.

Sports Data Scientist

Graduates can work as data scientists specializing in sports, applying advanced data analysis and AI techniques to solve specific problems in the sports sector.

AI Project Manager in Sports

Graduates can take on leadership roles in managing AI-related projects in sports, ensuring that projects are completed successfully within the established time and budget.

Researcher in AI Applied to Sports

Graduates can pursue an academic or research career, contributing to the advancement of knowledge and the development of new AI techniques applied to sports.

Why TO choose our Master’s program?

Let us share with you the reasons to choose it:

A unique training program, with exclusive and one-of-a-kind content

Iconos web MIAD Olocip_2. Big Data Deportivo

We are the leading campus and the largest community for Big Data and sports in Spanish

Iconos web MIAD Olocip_3. Formación alumnos

We have already trained over 1,300 students from major leagues and various sports.

Iconos web MIAD Olocip_4. Equipos profesionales

We collaborate with over 60 clubs and professional teams, and more than 90 leading companies in their sector

Iconos web MIAD Olocip_5. Experiencia formativa

We guarantee a unique learning experience, with support at all times and always available for you

Publish and find opportunities in our community full of professionals to network

The only master’s program certified by the most prestigious sports university: UCAM

Our instructors and masterclasses are top-tier worldwide. You will have access to exclusive events with them

Don’t forget to ask about our international scholarship and study aid program

BECAUSE STRENGTH LIES IN COLLABORATION

PROUD OF OUR ECOSYSTEM OF PARTNERS

What We Offer

THE PROGRAM

The program that has revolutionized the application of artificial intelligence and advanced analytics in sports, designed and taught by the best professionals for you.

MODULE 1: Artificial Intelligence as a Differentiating Value in the Sports Industry.

Introduction to Artificial Intelligence
Digital Transformation and the AI Ladder
Machine Learning
AI Projects and Applications in Sports
Value of Actions and Predictive Scouting in Football

MODULE 2: Data Sources and ETL Techniques in Sports

Introduction to Data Sources and Providers
Use and Management of Databases
Data Extraction Techniques (ETL)
Data Security and Privacy
Data Integration and Quality

MODULE 3: Business Intelligence and Storytelling in Sports

Fundamentals of Business Intelligence and Statistics
Visualization and BI Tools
Effective Communication and Storytelling with Data
Advanced Sports Analysis
Research Methodology

Module 4: Machine Learning: Sports Strategy with Scikit-learn

Mathematical Foundations of Artificial Intelligence
scikit-learn Library
Hyperparameter Tuning and Fine-Tuning
Exploration of Advanced Metrics
Machine Learning Model Lifecycle (End-to-End Machine Learning)
A/B Hypothesis Testing and Clustering
Feature Engineering and Linear Models
Predictive Models and Analytics in Sports
Kaggle and GitHub Platforms

Module 5: Introduction to Neural Networks

Multilayer Perceptron, Backpropagation, and Gradient Descent
Convolutional Neural Network (CNN) Architectures and Autoencoders
Advanced Techniques for Sparse and Noisy Sports Data
Comparison between Machine Learning and Deep Learning
Deep Learning Frameworks and Libraries
Use of Collaborative Development Platforms

MODULE 6: Fundamentals of NLP and Applications in Sports

TensorFlow Text and PyTorch NLP
Advanced Text Manipulation Techniques
Advanced NLP Models and Text Generation
Sentiment Analysis and Chatbot Implementation
Sports Narrative and Automation of Sports Content Reports
Tools and Libraries for NLP Development
Customization and Implementation of Pre-trained Models

MODULE 7: Fundamentals and Historical Evolution of Computer Vision

Computer Vision Technologies and Tools
Practical Applications in Detection and Segmentation of Relevant Objects in Sports Events, Enhancing Understanding and Analysis of the Game and Athlete Performance
Implementation of Advanced Models – ResNet and YOLO
Video Analysis and Action Recognition in Sports
Player Tracking and Motion Capture
Innovation and Technology in Audiovisual Content for Sports Broadcasts

MODULE 8: Creating the Future: Generative AI in Sports Action

Introduction to Generative Artificial Intelligence
Python and Machine Learning in Sports
Concepts of Generative AI
Relevant Technologies and Tools
MLOps and Practical Applications of Generative AI
Expanding the Definition of Generative AI to Include Augmented Reality (AR) and Virtual Reality (VR)
Ethics and Legality in Sports AI

Module 9: The Great Challenge: Master's Final Project

Introduction to the Implementation of AI Projects in Sports
Essential Guidelines for Project Organization
Innovation and Digital Transformation
Design Thinking and Innovation in AI
Financial Modeling and Return on Investment (ROI) Analysis with AI in Sports
Master’s Final Project Execution
Online Presentation

ACADEMIC DIRECTION

Marco Benjumeda

Lead Data Scientist Olocip
PhD en Inteligencia Artificial

LinkedIn

Sergio Luengo

Lead Data Scientist Olocip
PhD en Inteligencia Artificial

LinkedIn

Lucas Bracamonte

Department of Professional Development at Sports Data Campus

LinkedIn

André Silveira

Global AI Project Leader at Sports Data Campus

LinkedIn