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Master's Degree in big data
The objective of the Masters Degree in Big Dataof theUniversity of Andalusiais that students learn about the process of treatment, storage, extraction, organization and analysis of massive information.Big Data has gained importance in recent years. Private companies and public organizations all want to adapt to this massive information technique that is very useful for decision making.
- Be able to identify opportunities for benefit from data analysis and the development of techniques and methods.
- To be able to undertake, knowing the tools and procedures, in the field of data analysis consulting.
- Be an advanced user of specific data analysis software.
- Be an advanced user of big data processing software
- Be an advanced user of visualization and reporting software
- Understand how blockchain technology works and its application
The curriculum of the Master of Lifelong Learning in Big Data is as follows:
5 DESCRIPTION OF THE CURRICULUM | ||||||
5.2 NUMBER OF ECTS CREDITS | ||||||
Required: 54 | Electives: 0 | Final Paper: 6 | External internships Curriculares: 0 Extracurriculares: 0 | |||
5.3 STRUCTURE OF THE COURSE (distribution of the curriculum in ECTS credits, by module and subjects/subjects) | ||||||
| MÓDULO / ASIGNATURAS | ECTS |
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MODULE I: FUNDAMENTALS AND BIG DATA ARCHITECTURE / COORD. ANTONIO PEREGRÍN |
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Big Data I: Database Programming and Architecture | 6 |
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Big Data II: Processing | 6 |
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Tools for dealing with uncertainty in the data |
6 |
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MODULE II: ADVANCED SCIENTIFIC COMPUTING / COORD. RAFAEL BLANQUERO- EMILIO CARRIZOSA |
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Fundamentals of quantitative methods | 9 |
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Predictive models | 3 |
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MODULE III: MACHINE LEARNING /COORD. MANUEL E. GEGUNDEZ |
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Automatic learning | 6 |
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Deep learning | 6 |
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MODULE IV: ECONOMETRICS /COORD. A.J. SÁNCHEZ |
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Econometrics | 6 |
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MODULE V: RECOMMENDER SYSTEMS /COORD. PEDRO ALMAGRO BLANCO |
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Recommendation systems and collective intelligence | 3 |
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MÓDULO VI: BUSINESS INTELLIGENCE /COORD. MÓNICA CARMONA |
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Data-driven economic decision making | 3 |
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TOTAL OFERTADO | 54 |
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TFM | 6 |
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- Official Graduate Degree or a degree issued by an Institution of the European Higher Education Area that entitles, in the country issuing the degree, for access to the Master’s Degree.
- Official university degree issued in accordance with previous regulations or accredit the passing of the equivalent of 240 European credits in these degrees.
This Lifelong Learning Master in Big Data will prepare you to be: Data Analyst, Data Engineer, Data Scientist, Data Architect, Chief Data Office among others.
More information
Big Data is the massive analysis of data. Such a huge amount of data that the data processing software applications traditionally used are not capable of capturing, processing and adding value in a reasonable amount of time.
Big data is the most valuable tool in the creation of statistical reports, identification of new business models, prediction of business actions. In various sectors, from buying and selling, medicine or even some more specific ones such as sports. It is something that covers real environments and whose importance becomes fundamental to face very diverse situations.
In Andalusia, in addition to the aforementioned Official Master’s Degree in Economics, Finance and Computer Science of the UNIA, there is currently a Master’s Degree in Data Science and Big Data from the University of Seville, a Master’s Degree in Industry 4.0 at the University of Cordoba, a Master’s Degree in Big Data y Business Analytics at the UPO, a Master’s Degree in Big Data at the University of Malaga and an Official Master’s Degree in Data Science and Computer Engineering at the University of Granada.
It should be noted that the International University of Andalusia is participating in the Master of Lifelong Learning in Big Data.
If you want to obtain the Master in Big Datayou can contact us through our CRM.
CHARACTERISTICS
Study Type
UNIA Certificate
Academic area
Sciences
Modality
Online
Language
Spanish and English
ECTS
60 ECTS
Campus
La Cartuja (Sevilla)
