With this MBA in Data Science Management you will be the best possible candidate for the management of any team, bringing with you a unique analytical and technical point of view’’

Companies which are up-to-date with the reality of the digital world we live in require multidisciplinary professionals. These teams are generally made up of highly qualified individuals who require an even more specialized level of management which has been adapted according to the level of their expertise. This MBA in Data Science Management covers this niche market, providing students with a unique and useful set of skills with which to lead teams. Using data science and deep analytics, the student will be able to make quick decisions from a global perspective with a comprehensive understanding of the reality that surrounds these complex and changing business environments.

The training material covers all aspects necessary to successfully lead, from an analytical perspective, the management, manipulation and interpretation of collected data; the optimal devices and platforms for data management; data mining, data graphing and data-driven predictive models; and finally, leadership and effective communication with large groups at the workplace. In addition to all of the above, there are other complementary, more technical skills that make this a wide-ranging and comprehensive course.

Moreover, the students will have the total freedom to take on this program at their own pace, since it is a 100% online qualification, without fixed schedules or the obligation to attend in person. The didactic material is accessible at all times and the student can adapt the learning experience to suit their personal and professional obligations.  

With the skill set provided by this MBA in Data Science Management ,you will have everything it takes to launch your career to new heights and achieve your goals’’

This MBA in Data Science Management contains the most complete and up-to-date educational program on the market. The most important features include: 

• The development of case studies presented by experts in leadership and data analytics 
• The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice 
• Practical exercises where the self-assessment process can be carried out to improve learning 
• Special emphasis on innovative methodologies in the field of data science 
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection work 
• Content that is accessible from any fixed or portable device with an Internet connection 

Leaders with the greatest skills and knowledge are the ones who can make a difference in a contested and competitive business environment.Make a difference and succeed where others have failed with leadership and data science skills’’

The faculty includes professionals belonging to the field of business management and data science, who bring to this program their vast work experience, as well as recognized specialists from prestigious societies and universities of reference.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will deliver an immersive learning experience, programmed to train in real situations.

This program is designed around Problem-Based Learning, whereby the student must try to solve the different professional practice situations that arise during the course. For this purpose, the professional will be assisted by an innovative interactive video system created by renowned and experienced experts. 

This is your moment to reach the zenith of your professional career. Specialize with this MBA in Data Science Management and apply for the jobs you've always dreamed of"

TECH offers you the possibility to study at your own pace. You have a unique opportunity to give your resume a unique touch of class and stand out from the rest of the competition"

The objective of this MBA in Data Science Management is to instruct students in a variety of technical skills, with special emphasis on the use of data for the management of teams in the workplace. Therefore, upon graduation, the student will be able to manage professionals of all levels of qualifications and know how to adapt their precise methodology and tools to the needs of the business and the company. This is a distinct opportunity for people who want to orient their professional career towards the leadership of multidisciplinary teams. 

You will take the ultimate leap in your professional life with a unique and decisive training experience that will educate you as an expert in the use of data in the field of business’’

General objectives

• Develop each stage of the data lifecycle 
• Examine the data mining process 
• Evaluate sessions and traffic to better understand the audience 
• Analyze the regulatory framework for data protection and its relationship with the future regulation of artificial intelligence-based systems 
• Analyze different data models and their impact on applications 
• Analyze classical system models and identify shortcomings for use in distributed applications 
• Analyze the benefits of applying data analytics techniques in each department of the company 
• Propose techniques and objectives to be as productive as possible according to the department 

Specific objectives

• Develop analytical skills to make quality decisions 
• Examine effective marketing and communication campaigns 
• Generate specialized knowledge to develop predictive analytics 
• Propose business and loyalty plans based on market research 
• Perform efficient data analysis for business interests 
• Produce relevant, effective information for decision making 
• Determine the best practices for data management according to its typology and uses 
• Identify what is IoT (Internet of Things) and IIoT (Industrial Internet of Things) 
• Examine the Industrial Internet Consortium 
• Analyze what is the IoT reference architecture 
• Identify communications protocols and technologies used in IoT 
• Analyze the different software tools for graphing and exploratory data analysis
• Develop the skills to convert data into information from which knowledge can be extracted 
• Determine the main characteristics of a dataset, its structure, components, and implications for their distribution in modeling 
• Support decision making by performing comprehensive data analysis in advance 
• Develop skills to solve practical cases using data science techniques 
• Generate specialized knowledge about the statistical prerequisites for any data analysis and evaluation 
• Develop the necessary skills for data identification, preparation and transformation 
• Implement the different machine learning algorithms 
• Determine the requirements for mass data usage systems 
• Evaluate which widely used applications use the fundamentals of distributed systems to design their systems 
• Analyze the way in which databases store and retrieve information 
• Analyze the state of the art of Artificial Intelligence (AI) and data analytics 
• Develop specialized knowledge of the most widely used technologies 
• Generate a better understanding of the technology through use cases 
• Generate specialized knowledge for commercial decision making 
• Determine how to establish communication and information exchange between the company's departments and customers
• Generate specialized knowledge to perform data analysis
• Establish best practices for data management according to their typology and uses 
• Analyze the metrics and validation methods of different machine learning algorithms 
• Examine the evolution and development from its origin to the present day
• Examine the data protection regulation and related regulations 
• Propose verification and testing techniques for distributed platforms 
• Analyze the most used options in the implementation of Cloud platforms 
• Analyze the different general practices in the Kanban method 
• Examine metrics for performance measurement in Kanban 
• Identify and analyze the differences between the three methodologies: PMI, Scrum and Kanban 
• Propose a leadership model adapted to change 
• Establish emotional intelligence as a basic management tool in the company 
• Develop negotiation and conflict resolution strategies in the technology company 

TECH's goal is to make its students the best professionals they can be. How about you? Are you ready to become the best version of yourself?’’