- 0034 954 46 22 99
- info@universidadinternacionalandalucia.com
- Mon - Fri: 9:00 - 18:30
Master's Degree in Artificial Intelligence
Study the Master’s Degree in Artificial Intelligence The Master’s Degree in Artificial Intelligence of University of Andalusia aims at providing knowledge and skills for the conception and development of solutions based on Artificial Intelligence (AI) in the most relevant sectors, with a clear professional orientation for a sector where the labor needs of professionals in these technologies are very high.
- Ability to apply the acquired knowledge to real problems related toArtificial Intelligence.
- Ability to apply and integrate knowledge and understanding of other computing disciplines in multidisciplinary and/or international contexts providing solutions from the Artificial Intelligencepoint of view.
- Ability to use Data Science techniques to obtain new relationships and provide information on research problems or organizational processes and support decision making.
- Ability to use engineering principles and modern computer technologies to research, design, implement new applications of data science.
- Ability to obtain information, design experiments and interpret results in the fields of Artificial Intelligence.
The curriculum of the Master’s Degree in Artificial Intelligence and Machine Learning is as follows:
6. DESCRIPTION OF THE CURRICULUM |
6.1 NUMBER OF TOTAL ECTS CREDITS |
Compulsory: 48 | Electives: 0 | Final Paper: 12 | External internships |
| |||
Curriculares: 0 | Extracurriculares: 0 | ||||||
6.2 STRUCTURE OF THE COURSE (distribution of the curriculum in ECTS credits, per module and per year, by module and per year) subjects/subjects) | |||||||
Module | Module coordinator | Subjects/Subjects that comprise it | Number of virtual ECTS | ||||
Introduction to Data Science |
Dra. Amelia Zafra Gómez | Programming for Artificial Intelligence Applications | 4 | ||||
Preprocesado, clasificación y regresión | 4 | ||||||
Clustering, asociación y anomalías | 4 | ||||||
Fundamentals of Deep Learning | 3 | ||||||
Advanced Data Science |
Dr. Cristóbal J. Carmona del Jesus | Advanced Data Science Models | 4 | ||||
Aprendizaje para flujos de datos y datos temporales. APPS | 4 | ||||||
Deep Learning: Advanced Models | 5 | ||||||
Social Media Mining | 4 | ||||||
Applications and New Trends |
Dra. María Victoria Luzón | Bulk Data, Privacy and Integrity | 6 | ||||
FATE: Fairness, Traceability, Transparency and Ethics in AI | 4 | ||||||
Real applications, business trends and challenges | 6 | ||||||
6.3 TEACHING METHODOLOGY (In addition to what is considered appropriate to indicate in this section, in the case of blended or virtual programs, everything related to virtual teaching-learning methodology should be included, indicating the type of resources to be considered for the learning of each module/subject and if there are already virtualized or digital materials, tutorial support, modular learning sequence, learning system, etc.). network evaluation, etc.) | |||||||
- University degree or equivalent
With theMaster in Artificial Intelligenceyou can apply for positions such as Data Mining Consultant, Data Scientist, Machine Learning Scientist, NLP Consultant (expert in natural language processing), Artificial Intelligence Engineer / Machine Learning Engineer, Artificial Intelligence Officer (CAIO) or AI Developer among others.
More information
Artificial intelligence (AI)is increasingly present in our days. More and more companies and organizations are interested in applying this technology to improve the effectiveness and efficiency of their business processes. The large amount of information that is currently stored makes it necessary to use specialized techniques for automation, accuracy, and speed in data analysis.
Data Science is a discipline that has recently emerged in response to the need to work with a large amount of information, and which makes it possible to acquire, process, model, structure, store, distribute, manage, visualize and analyze massive volumes of data of different nature and origin.
The objective of the program is to train professionals to understand the most relevant existing Artificial Intelligence methods and techniques and apply them to develop appropriate solutions to the different types of problems they may face.
It should be noted that the Master in Artificial Intelligence has the participation of theAndalusian Institute of Data Scienceand Computational Intelligence, as well as the Digital Innovation Hub Air-Andalusia.
If you want to obtain the Master of Continuing Education in Artificial Intelligence and Machine Learning you can contact us through our CRM.
CHARACTERISTICS
Study Type
UNIA Certificate
Academic area
Engineering and Architecture
Modality
Blended
Language
Spanish and English
ECTS
60 ECTS
Campus
La Cartuja (Sevilla)
