Take your Master in Big Data online at UNIR

The Master in Big Data online will train you as a BIG DATA professional, one of the most demanded professions today. With this training you will be able to design and implement systems that monitor a process, extract relevant information from it and communicate it eloquently and efficiently.

This university master's degree in Visual Analytics and Big Data delves into the most cutting-edge technologies of Big Data and Machine Learning:

• Data capture and storage: Management and data processing with MongoDB.
• Artificial Intelligence Techniques: clustering techniques and design of expert systems capable of inferring new knowledge.
• Engineering for the Massive Processing of Data (Machine Learning): Hadoop Tools and Data Analysis and text mining with R.
• Visualization tools: Google Charts, JQuery plug-ins, for visualizations and D3.js

Thanks to this official master's degree in Big Data online, you will perfectly manage the three key techniques: information capture and storage, data mining for intelligent analysis, and information visualization.

UNIR offers you the possibility of personalizing your training through specializations. Choose the one that best suits your professional goals and obtain a double degree with which you will expand your job opportunities:

• University Specialist in Industry 4.0
• University Specialist in Big Data and Artificial Intelligence
• Expert in Digital Project Management

With this online training, and with the knowledge acquired throughout the course, you will be able to obtain certifications from the leading companies in cloud computing solutions: Microsoft Certified Azure Fundamentals and AWS Certified Cloud Practitioner. In addition, when you enroll you will receive the Python programming course, completely free.

With this Official Master in Big Data you will be able to train and specialize with the most current tools and languages used on the market, such as MongoDB, R, Weka, Spark or Tableau

General information

• General information
• Credits: 60 ECTS
• Duration: 1 academic year
• Methodology: 100% online teaching
• Exams: Online and/or face-to-face exams in each semester
• Internships: Compulsory external internships (6 ECTS). Recognition of them by accredited professional experience
• Doctorate Access: This official master's degree allows the incorporation to official doctoral programs and improves your score, as long as it corresponds to the same area of ​​knowledge, in the scale of the exams, interim lists, transfer competitions and employment exchanges. Check the bases of the public offer.

Methodology

The UNIR study method is flexible, personalized and effective. The methodology is based on online live classes and personal tutor to offer the best training.

The UNIR pedagogical model is effective because it is based on a totally online methodology so that each student can study at their own pace:

• Live online classes: There are classes scheduled every day of the week in the morning and afternoon so you can attend class when it is best for you.
• Online classes in deferred: If you could not attend a class or you stayed with questions, you can access all your classes in deferred. You can see them whenever you want and as many times as you need.
• Personal tutor: The first day you will be assigned a personal tutor. You will be in contact with him by phone and email. He will support you in your day to day and solve any doubts that may arise.
• Virtual Campus: Everything you need to study at UNIR is on campus: classes, teachers, classmates, the library, teaching resources, schedules, chat, forums and much more.
• Teaching resources: You will have access to different learning resources to complete your training: complementary readings, diagrams with key ideas, self-assessment test, etc.

Evaluation system

To know the level of achievement of the general and specific objectives defined in the online master's degree, it is necessary to evaluate the competences acquired during the study of the same.

The evaluation of learning is carried out taking into account the qualification obtained in the following points:

• Continuous evaluation: 40% (evaluation tests, participation and involvement by the student in forums, debates and other collaborative means, and resolution of practical cases).
• Final face-to-face examination: 60%.
• Master's Thesis

Professional outings

For positions of "Data Scientist" and "Business Intelligence", companies and institutions look for dynamic professionals who combine knowledge of the Company, management of Big Data technologies and advanced analysis skills. Only a profile of these characteristics can identify, collect, analyze, interpret and transform the data into relevant information.

Some professional outputs of this master:

• Business Intelligence Manager
• Senior analyst
• BI Consultant
• Big Data Analyst
• Business Intelligence Technician
• Senior BI Consultant
• Big Data Project Manager