Master in Decision Systems Engineering + University Degree with 8 ECTS credits

Institución Educativa
Mode On-line
Duration 1500 hours
Credits 8 ECTS
Languages Spanish
Rs. 190,100.00
Pago en cuotas sin intereses Acceso para siempre para consultar tu curso

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Plan de estudios

Summary

In the Big Data era and digital transformation, the ability to model scenarios and make informed decisions has gained vital importance. The Master in Decision Systems Engineering is a training focused on providing advanced techniques for effective data management and uncertainty analysis, crucial elements in strategic decision making. This course integrates fundamental knowledge about decision engineering and quantitative methods, covering from the modeling and treatment of uncertainty to the advanced management of databases and data mining. Special emphasis is placed on simulation, metaheuristics and algorithms, training to address complex challenges in the field of engineering. With a quality approach and Six Sigma, participants will be prepared to implement standards of excellence in their professional practices. This master allows interested parties to become leaders of innovation in decision -aids engineering.

Goals

- Dominate decision engineering. - Apply modeling of uncertainties. - Manage simulation and metaheuristics. - Manage effective databases. - Extract knowledge with data mining. - Implement Big Data strategies. - Deploy algorithms for Big Data. - Apply early Sigma.

Professional exits

After a master's degree in Decision Systems Engineering, you access a labor market eager for experts in data analysis. Optimizes business strategies modeling uncertainties, leads Big Data and Six Sigma projects, and makes key decisions with knowledge in metheuristics and data mining. An open door to innovation and strategic roles in engineering and consulting.

To prepare you

This Master in Decision Systems Engineering prepares you to become an expert in strategic decision making. You will deepen the modeling and management of uncertainty, applying advanced simulation and metaheuristics. You will develop skills in database management, data mining and specific Big Data management for engineering. You will acquire competencies in Big Data algorithms and you will train in the Six Sigma methodology to ensure quality in industrial and service processes.

Who is it addressed

The Master in Decision Systems Engineering is specially designed for engineers, data analysts, and technological professionals who seek to specialize in critical decision making, modeling and management of uncertainty, and the optimization of resources through simulation and metaheuristics. Ideal for those who wish to deepen database management, data mining and apply specific knowledge of Big Data and advanced algorithms to solve complex problems. In addition, it incorporates quality foundations such as Six Sigma, essential for continuous improvement.

Official character

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.

Methodology

Our methodology combines technology, pedagogy and empathy for a tailored learning.

You mark the rhythm, you decide the way and an artificial intelligence accompanies you to learn better, with meaning and purpose.

Realized personalized learning

Your style, interest and level define the route. You are the starting point.

Constructivism in action

Explore, experience and apply. Learning means understanding, not memorizing.

He who accompanies you, not who directs you

Phia, our artificial intelligence assistant guides you without limiting your autonomy.

Evaluation without pressure

Continuous and adaptive feedback. Because learning is a process, not a figure.

Certificación

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Double degree: - Titling of Master in Decision Systems Engineering with 1500 hours issued by Euroinnova International Online Education, member of the AEEN (Spanish Business School Association) and recognized with the academic excellence in online education by QS World University Rankings - University Degree of Universitarian Superior Course in Creation and SQL Database Management with 200 hours and 8 ECTS Credits by the Catholic University of Murcia of Murcia

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Scholarships

EDUCAHUB Scholarships

Make your most accessible training: Finish 0% interest and get personalized scholarships.

In Eduahub we believe that education must be available to everyone. Therefore, we offer a scholarship plan that facilitates your access to practical, current and quality training, eliminating economic barriers.

-25%

Alumni Scholarship: For former students of Eduahub.

-20%

Unemployment scholarship: if you prove to be unemployed.

-20%

Numerous family scholarship: for families with 3 or more children.

-20%

Disability scholarship: For people with disabilities ≥33%.

-15%

Emprende Scholarship: For self -employed that accredit your activity.

-15%

Scholarship recommends: If you come recommended by an alumnus.

-15%

Group scholarship: For joint inscriptions of 3 or more people.

An entire educational universe, on a single platform.

An intuitive environment that guides you to form autonomously and with purpose.

Know more

Learn at your pace

Courses, masters and official degrees. 100% online, flexible and at your pace.

Access from anywhere

Available 24/7 on mobile, tablet or PC. You decide when and how to train.

Phia, your mentor ia

It challenges you, motivates you and customizes your path. Learn with a guide that evolves with you.

LX One Plus: Without limit formation

Unlock soft skills, languages and more. Advances towards integral and continuous formation.