Thanks to this Hybrid professional master’s degree, you will build predictive models using Machine Learning algorithms to predict trends, patterns and future results from historical data" 

Artificial Intelligence (AI) has become a useful tool for Data Science Management (DSO, Data Science Officer) professionals, enabling them to analyze large volumes of data, identify complex patterns and make automated decisions. However, despite its technological advances, professionals face a number of challenges in the course of their work. For example, as the complexity of AI models and the volume of data increases, experts face challenges in terms of scalability or performance. They must therefore find new ways to develop models that can handle large amounts of data and operate efficiently in real-time environments.

In this context, TECH launches a pioneering and innovative Hybrid professional master’s degree in Data Science Management (DSO, Data Science Officer). Designed by experts in this field, the academic itinerary will delve into aspects such as Data Analytics in business organizations or Information Management and Manipulation. Likewise, the syllabus will provide students with the keys to skillfully handle instruments such as Machine Learning, Data Mining or Internet of Things. It should be noted that, after passing the theoretical stage, the program includes an internship in a prestigious institution. In this way, graduates will be able to apply everything they have learned in practice, in a real working environment equipped with first-class technological tools. 

In this way, TECH offers an excellent opportunity for professionals seeking to advance their careers. In addition, it offers specialists the flexibility to consult the online curriculum, and at the same time, provides them with a practical experience in a prestigious institution. 

Make the most of this opportunity to surround yourself with expert professionals and learn from their work methodology"

This Hybrid professional master’s degree in Data Science Management (DSO, Data Science Officer) contains the most complete and up-to-date program on the market. The most important features include:

• Development of more than 100 IT cases presented by professional experts in data analysis and interpretation and university professors with extensive experience in the digital sector
• The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Development of on-site analytical skills to make quality decisions
• Testing of best practices for data management according to data type and uses
• Analysis of data management tools using programming languages
• Selection of the most appropriate tools and general methods for modeling each Dataset according to the preprocessing carried out
• Development and implementation of the algorithms used for data preprocessing
• All of this will be complemented by theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection
  In addition, you will be able to do an internship in one of the best advertising agencies

You will develop skills to plan, execute and manage Data Science projects from start to finish, ensuring the effectiveness of the results"

In this Master's program, of a professionalizing nature and blended learning modality, the program is aimed at updating IT and Marketing professionals who work in advertising agencies and strategic management and who require a high level of qualification in new technologies. The contents are based on data analysis, and oriented in a didactic way to integrate theoretical knowledge into professional practice.

Thanks to its multimedia content developed with the latest educational technology, they will allow the professional a situated and contextual learning, that is to say, a simulated environment that will provide an immersive learning programmed to prepare in real situations. This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise throughout the program. For this purpose, the students will be assisted by an innovative interactive video system created by renowned and experienced experts.

This Hybrid professional master’s degree will give you a deep understanding of how to apply Dara Science techniques in different industries and business contexts"

Expand your skills in big data processing and discover the evolution of Big Data analysis compared to traditional data analysis methods"

After completing this Hybrid professional master’s degree in Data Science Management (DSO, Data Science Officer), IT professionals will have acquired advanced skills to provide excellent quality services to a wide range of companies in different sectors. In this sense, graduates will master sophisticated technological tools such as Artificial Intelligence, Machine Learning, Internet of Things or Data Mining.  Thanks to this, experts will be highly qualified to plan, execute and manage innovative Data Science projects. 

You will perform an efficient management of databases and data storage systems, thus guaranteeing their security" 

General Skills

• Develop a technical and business perspective of data analysis
• Understand the most current algorithms, platforms and tools for data exploration, visualization, manipulation, processing, and analysis
• Implementing a business vision necessary for valorization as a key element for decision making
• Be able to address problems specific to data analysis

Specific Skills

• Specialize in Data Science from a technical and business perspective
• Visualize data in the most appropriate way to favor data sharing and understanding for different profiles
• Address the key functional areas of the organization where data science can deliver the most value
• Develop knowledge of the data life cycle, its typology and the technologies and phases necessary for its management
• Develop advanced knowledge in fundamental data mining techniques for data selection, preprocessing and transformation
• Specialize in the main Machine Learning algorithms for the extraction of hidden knowledge in data
• Generate specialized knowledge in the software architectures and systems required for intensive data use
• Determine how the IoT can be a source of data generation and key information on which to apply data science for knowledge extraction
• Analyze the different ways of applying data science in different sectors or verticals by learning from real examples

You will gain the skills to address complex challenges related to Data Analysis and Management using creative approaches"