Data Science and Artificial Intelligence (CDIA)
Specialize in Data Analysis and Earn the "AI Native" Distinction
This exclusive program presents an exceptional opportunity to gain hands-on and exploratory knowledge in Data Science and Artificial Intelligence, two of the fastest-growing sectors in recent years.
The CDIA Diploma is available to all EPS bachelor's students across the school's three departments: Computer Science, Industrial Engineering, and Architecture. The aim is to enhance their personal brand and employability.
The primary goal is for students to attain a high level of professional training, equipping them for successful current and future practice in a sector that is increasingly sought after by companies. As a result, graduates of the Polytechnic School of Nebrija University will earn the "AI Native" distinction. This recognition will complement their professional profile and provide them with a robust foundation in data analysis.
Javier Sánchez SierraDirector of the Specialization Diploma in Data Science and Artificial Intelligence (CDIA)
Curriculum
First year 12 ECTS
- Python
- 3 ECTS | Python Programming
- 1,5 ECTS | EDA and Visualization
- 1,5 ECTS | Databases
- Supervised Machine Learning
- 3 ECTS | Machine Learning I (Supervised)
- 1,5 ECTS | Case Studies in Machine Learning I
- 1,5 ECTS | Tools for Artificial Intelligence
Second year 18 ECTS
- Unsupervised Machine Learning
- 3 ECTS | Machine Learning II (Unsupervised)
- 1,5 ECTS | Case Studies in Machine Learning II
- 1,5 ECTS | Machine Learning Seminar
- Deep Learning
- 3 ECTS | Deep Learning
- 1,5 ECTS | Practical Applications of Deep Learning
- 1,5 ECTS | Deep Learning Seminar
- Final Project
- 6 ECTS | Final Project
More Academic Information
Competences
General CompetencesThe EPS CDIA Diploma equips students with the following general competences:
- A solid understanding of the fundamental skills and knowledge required in Data Science and Artificial Intelligence.
- An appreciation for creativity, rigorous analytical thinking, and effective teamwork. These skills are essential for transforming data into key information that, when properly interpreted, facilitates informed decision-making across various fields of knowledge.
The EPS CDIA Diploma cultivates the following specific competences in students:
- The ability to utilize various types of AI, develop their own AI models, and implement them in the cloud for accessibility by any user.
- The acquisition of specific skills necessary for the conception and development of advanced professional solutions based on AI.
- An understanding of how to handle data sets of varying dimensions and apply the knowledge gained in functions that span the entire data life cycle, utilizing AI.
- The ability to apply AI models to detect patterns in data sets, automate solutions, and enhance performance.
- Knowledge of how neural networks process the information provided to them, the different architectures available, and a broad spectrum of use cases for implementing these solutions.
- An understanding of the aspects of training, inference, monitoring, business cases, and optimization in the context of AI.
Methodology
Our methodology is rooted in a dynamic approach that provides students with a direct link to the business sector and a practical perspective on learning. This approach has led to the creation of a comprehensive Data Science and Artificial Intelligence program that covers all the essential aspects, equipping participants to become confident professionals.
This is a predominantly practical program that imparts specific skills with significant real-world applications. In tandem, participants will receive guidance and mentorship from instructors who specialize in Data Science and AI, and they will have the opportunity to collaborate with peers on highly engaging projects. Given the vibrant and ever-evolving nature of AI, this EPS program prepares participants to tackle a wide array of challenges and seize unique opportunities in this dynamic field of applied knowledge.
