Máster en Inteligencia Artificial Online (IA) draft

Program Overview

The Máster en Inteligencia Artificial Online (IA) at Universidad Europea is an immersive program designed to equip students with advanced skills in AI, Machine Learning, and Data Science. Through a comprehensive curriculum, students gain expertise in applying AI to various sectors, preparing them for leadership roles in the digital transformation of organizations. The program emphasizes practical experience, hands-on projects, and collaboration with industry experts, making graduates highly sought-after in the rapidly growing field of AI.

Program Outline

Máster en Inteligencia Artificial Online (IA)

Degree Overview:

The Máster en Inteligencia Artificial Online (IA) is a program designed for technical professionals seeking to acquire the knowledge and skills necessary to lead projects based on machine learning and intelligent systems. The program aims to equip students with advanced abilities and techniques in Machine Learning, Data Science, R, Deep Learning, Cognitive Computing, voice recognition, and virtual assistants. The program provides a comprehensive understanding of artificial intelligence applied to various sectors, including healthcare, logistics, engineering, education, and industry. Upon completion, students will be capable of leading the digital transformation of their organizations towards becoming cognitive enterprises. The program emphasizes the development of highly sought-after professional profiles in the field of AI, making graduates attractive to companies heavily investing in AI, such as Google, Amazon, Oracle, IBM, Microsoft, and others.

Outline:

The Máster en Inteligencia Artificial Online is structured into 10 modules, covering a wide range of topics related to AI and its applications. It establishes the general framework of AI, including basic concepts, definitions, and the scope of AI. The module also covers historical aspects and the evolution of AI, highlighting its impact on society and practical applications in various sectors. It explores problem-solving as a core competency in AI, introduces automatic reasoning and planning, examines structural representations of knowledge, and introduces models and techniques for automatic reasoning and paradigms for imprecise and uncertain reasoning.

Module 2: Programación y Entornos de trabajo en IA (6 ECTS)

This module focuses on using Python and Cloud Computing platforms to develop data science skills. It focuses on efficient indexing techniques and advanced structures for managing large volumes of data.

Module 4: Aprendizaje Automático (6 ECTS)

This module covers three main paradigms:

• Supervised: This section reviews techniques and mechanisms for training models with labeled data, enabling predictions or classifications.
• Unsupervised: This section employs techniques to handle unlabeled data, discovering patterns and structures inherently present in datasets.
• Deep Learning: This section utilizes deep neural networks to learn complex representations and perform advanced AI tasks like image recognition or natural language processing.
It delves into techniques that focus on:
• Semantic Disambiguation: This section applies techniques to resolve ambiguities in the meaning of words or phrases, improving accurate context understanding and semantic interpretation.
It reviews techniques that delve into:
• Object Recognition: This section reviews techniques for identifying and classifying objects in images or videos, essential for applications like facial recognition, object detection, and scene analysis.
Segmentation is crucial for tasks like contour identification, separating foreground and background objects, and delimiting areas of interest.
• Motion Detection and Tracking: This section reviews techniques for tracking the movement of objects over time.
• Generative Image Models: This section explores self-supervised learning models and autoencoders in visual computing.

Module 7: Áreas de Aplicación (6 ECTS)

This module explores various application areas of AI, including:

• Decision-making
• Risk analysis
• Big Data and IoT
• RPA
• Chatbots
• Recommendation systems

Module 8: Casos de Uso (6 ECTS)

This module examines real-world applications of AI across different sectors:

• Healthcare and Medicine: Medical diagnosis, disease prediction, personalized treatment development, efficient patient record management.
• Finance and Banking: Risk analysis, fraud detection, automated financial advice, portfolio management, automated transaction processing.
• Commerce and Marketing: Personalized recommendations, user behavior analysis, inventory management, price optimization, automated customer service.
• Education: Learning personalization, automated evaluation, student performance analysis, virtual assistants for distance education.
• Manufacturing and Supply Chain: Automated quality control, predictive machine maintenance, supply chain optimization, inventory management.
• Human Resources: Personnel selection, resume analysis, talent management, automated recruitment processes, performance evaluation.
• Transportation and Logistics: Route optimization, fleet management, asset monitoring, logistics planning, autonomous transportation systems.
It examines ethical issues in the design and application of algorithms, considering biases and social responsibility. Additionally, it addresses the regulatory framework guiding AI development, highlighting emerging regulations and ethical standards. Students will analyze practical cases, discuss ethical dilemmas, and explore strategies to balance technological innovation with ethical considerations and regulatory compliance.

(6 ECTS)

Teaching:

The program utilizes a flexible online learning methodology with live virtual classes accessible from any location and device. Students benefit from the support of expert faculty and a dedicated tutor who provides guidance and assistance throughout the program. The virtual campus serves as the primary learning platform, offering access to course materials, the library, a community forum for student interaction, and 24-hour support. The program emphasizes experiential learning, encouraging students to apply their knowledge through practical exercises and projects. The teaching approach focuses on collaborative learning, fostering a sense of shared learning and encouraging students to contribute to each other's success. The program also incorporates professional learning, guiding students towards applying their knowledge in real-world scenarios.

Careers:

Graduates of the Máster en Inteligencia Artificial Online are well-prepared for a variety of roles in the rapidly growing field of AI. Some potential career paths include:

• Responsable de Transformación Tecnológica (Head of Technological Transformation)
• Responsable de Inteligencia Artificial (Head of Artificial Intelligence)
• Consultor en Inteligencia Artificial (AI Consultant)
• Data Scientist
• Experto en Machine Learning (Machine Learning Expert)
• Ingeniero de Software (Software Engineer)
This resource supports students throughout their master's program. The program also features masterclasses delivered by industry professionals working directly with AI technologies. These masterclasses provide valuable insights into real-world applications and industry trends. The Universidad Europea has established the Observatorio de Inteligencia Artificial en Educación Superior, a platform for understanding how AI can be applied to improve the efficiency of various processes. Students gain firsthand insights from experts at companies like Telefónica, IBM, Mediaset España, and Arquimea. The program emphasizes the use of cutting-edge technology and applications for developing self-learning models and real-world projects with practical applications in the business world. Students will work with tools like Cloud Foundry, Python, Keras, Pandas, Anaconda, Jupyter notebook, Twilio, and Node - RED. The program offers a University Course in Python, providing a 30% discount for students enrolling in both the Master's program and the Python course. This course prepares students with the necessary programming skills for the Master's program. The program also offers a specialization in Entrepreneurship, allowing students to explore turning their ideas into successful businesses. This specialization focuses on transforming visions into entrepreneurial initiatives that generate value beyond economic benefits, impacting organizations, society, and the environment. The program is supported by a team of experienced faculty members from various industries, including healthcare, finance, technology, and education. These faculty members bring real-world experience and expertise to the program, ensuring students receive a comprehensive and practical education. The Universidad Europea is recognized for its academic quality, holding prestigious awards such as the Sello de Excelencia Europea 500+, Quali-cert, and Madrid Excelente. The university has also received a four-star rating in the QS Stars international accreditation system, achieving the highest five-star rating in Employability, Teaching, Facilities, and Social Responsibility.