Call: October 2019 (limited places)Location: Campus U-TAD / Online liveHours: Friday and SaturdayDuration: 300 hoursLanguage: SpanishModality: In-person / Online live

FORM YOURSELF TO WORK IN ONE OF THE FUTUREEST PROFESSIONS

Learn how to solve the big business challenges that digitalization poses in companies, in the pioneer center in training in Big Data, Data Science and Analytics.

Become an expert in data analytics capable of contributing to the decision making of a company, handle large volumes of information efficiently and learn to create your own Machine Learning algorithms.

Microsoft chooses U-tad for its first Datathon in Spain

Microsoft Datathon

Referents in the Industry in training in Big Data, Data Science and Analytics.... [-]

SPONSOR: GeneraliTalent School: GeneraliOfficial Certification: Pearson VueContracted Places: 50Students Scholars: 25

Analytics

Study the main technologies for intelligent decision making through the Bigdata with Hadoop and Apache Spark environments, dashboards and Analytics also using Cloud solutions such as Amazon AWS Bigdata and Big Querry Google Cloud.

We also learn the latest Business Intelligence solutions on Relational Data in Oracle and Microsoft SQL Official Bigdata Certifications.

Professional qualifications that certify you as an official Technician to work anywhere in the world. Amazon Certifications Google Cloud, Hadoop, Stack, Microsoft SQL BI, Oracle BI, SAP Hana and SAP Business Warehouse.... [-]

The Master in Business Analytics and Big Data is the answer to the need for a new professional who is able to extract useful knowledge from data in the context of proliferation of production data in organizations and on the Internet generally.

This program seeks to address the needs of data analysis in business. These new professionals sometimes called "data scientists" are called to play an essential role in the new competitive context that dominates decision-making based on the analysis of large volumes of data. Must be able to identify, collect, process, analyze, process and interpret the data in the context of specific business objectives. The program develops skills and integrative skills and areas of knowledge of business problems with quantitative and predictive techniques for making reliable and robust models. It also develops the skills and knowledge necessary to understand and manage the technology related to parallelism and associated mining processes to big data and data management and processing in cloud services.... [-]

Starting dates

Our academic calendar is based on a quarter system (1 quarter = 10 weeks). Because of the program's flexible structure and modular design, multiple starting dates are available at the start of every Quarter and of every Term, in October, November, January, February, April, May, July, and August. All campuses follow the same academic calendar.

Program duration

Full-time students can earn a Master degree in 1 academic year of 9 months, for a total of 3 quarters of 20 credits each, or within 12 months when spreading the workload.

Part-time students can earn a Master degree in 2 to 3 academic years, depending on the number of courses attempted per quarter, the course selection and the course planning; earning half the typical number of courses equals twice the duration of the full-time program. The more flexible the working hours, the more courses will be available to finish faster. Students are considered part-time while attempting 6 or fewer courses per quarter. Part-time studies are available only for students with a national passport or residence permit.... [-]

What does it consist of?

This master's degree provides students and professionals the opportunity to train professionally in fields with a high demand for qualified personnel of great social interest, such as the analysis of large volumes of data (Big Data) and the development of smart businesses. But fundamentally, it will provide the ability to explore, organize and analyze these data to extract knowledge from them and make predictions. Highlight that assisted by this type of decision-support technology, the identification of new business areas can lead to innovative products and services that may involve improving the competitiveness of companies and public institutions.

Among the contents taught in the master can be found the necessary technologies for the analysis of massive data (big data), statistical learning and decision making, econometrics for massive data, mass data and business management, cloud computing (cloud computing) , data mining and texts, analysis of time series, etc. Through its three specializations the student will be able to choose the desired formation profile of the master. You can opt for a profile dedicated to applications in economic and business management, a profile more focused on management tools and intelligent analysis of data and finally a more technological profile in the management of massive data. This master combines rigorous and academic training with work in real applications and practices, using the appropriate software and hardware platforms.... [-]

What does it consist of?

The Master in Tourism Economics: Monitoring and Evaluation (METME) is an advanced training program that aims to train specialists in economic analysis applied to monitoring and evaluation (M

The Master seeks to encourage the development of skills and competencies in M

Monitoring is a systematic analysis that seeks to identify the changes experienced by a system (destination, sector, activity, company, etc.) during a specific period of time that, generally, coincides with the process of implementing a project, policy or plan . In this way, monitoring provides the decision makers with indicators of progress and achievements achieved through the use of available funds.The evaluation is a systematic and objective analysis of the effectiveness, efficiency and / or equity that derives from the implementation of a project, policy or plan on a system (destination, sector, activity, company, etc.). In summary, it can be said that the objective of the evaluation is to measure the economic impact of the project, in order to determine the relevance and fulfillment of its objectives. An evaluation must provide credible and useful information that can be incorporated into the decision-making processes.What will you learn?... [-]