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Master iz Veštačke Inteligencije

UNIR


Mjesto

Španija

Format studija

Online

Jezik kursa

Шпански

Oblasti studija

Računarske nauke, Inženjering softvera, Cyberbezbednost, Informacioni sistemi, Nauka o podacima, Veštačka inteligencija

Trajanje

1 Godina

Vrijeme studija

Puno radno vrijeme, Skraćeno radno vrijeme

Nivo

Master diplome

Naknada

Zatražite informacije

Opis programa

The official Master in Artificial Intelligence and 100% online with more graduates

The only postgraduate that gives access to advanced university courses in Data Engineering and Data Analyst

Acquire the necessary knowledge to develop as a professional specialized in artificial intelligence with an inclusive and complete vision. With UNIR 's online Master's in AI , which is celebrating 9 editions, you will provide a solution to the real needs present in sectors such as finance, health, industry, telecommunications, public administration, logistics, consulting or engineering.

Delve into the five branches of Artificial Intelligence

Unlike other master's degrees, in UNIR you will be trained in the five main branches of AI. They are the ones that have a more common application in our daily life. Thanks to them you can automate, generate accurate results and improve the human experience.

Automatic learning (machine learning)

It focuses on the development of algorithms and models that allow computers to learn from data , without being explicitly programmed to do so. They are used in a wide variety of applications, such as image classification, product demand forecasting, medical diagnosis, fraud detection, content personalization, among others.

Deep learning (deep learning)

It is a machine learning technique that is based on deep neural networks. They allow the identification of complex patterns and characteristics for data processing and analysis. It is used in applications such as speech recognition, natural language processing, or object detection in images .

Planning

It is oriented towards the development of algorithms and systems that allow computers to plan and make decisions in complex situations. This technique is applied in areas such as route planning for autonomous vehicles or the optimization of merchandise deliveries by logistics operators .

Natural Language Processing (NLP)

Train yourself in the latest trends in online marketing by acquiring skills in blended marketing, electronic commerce, virtual community management, customer experience or monetization of social networks. Achieve a strategic vision of marketing in digital environments and lead new business models.

computer vision

It is used in the development of systems to analyze and understand images and videos. It is applicable to cases such as real-time facial recognition or security supervision in public spaces.

Enhance your training with the most used tools

The Master in AI online responds to the real needs of companies with a study plan that includes the use of the most demanded languages and tools in the sector, such as Python, Keras, R , STRIPS/PDDL, Google Colab, OpenCV, Scikit- learn, TensorFlow , NLTK, Microsoft Azure, or AWS.

Learn with the personalized methodology of the Master in AI online

The methodology of the UNIR Higher School of Engineering and Technology is flexible to adapt to your pace and particularities. Organize your Master's in Artificial Intelligence classes based on your personal and professional life to progress successfully in all subjects. It is based on the following pillars:

online learning

Live online classes: scheduled in advance so you can organize your attendance. If even so they do not fit into your schedule or you have any questions, you can watch them deferred as many times as you need.

  • Specialized seminars: given by specialists from other universities on tools and specific trends in the sector.
  • Practical workshops: in which you will solve real problems faced by faculty members at a professional level.
  • Preparation of certifications: train in the most demanded in the sector and manage to pass the exams of the certifiers.
  • Virtual Campus: access it from your computer or other device to attend classes, check the material, schedules or participate in forums.
  • Teaching resources: you will have all kinds of academic resources to complete your training and facilitate your learning. It includes outlines, summaries, activities or recommended readings, among others.

Learning by competences

In all our master's degrees you will find the UNIR Footprint, a set of specific modules to develop transversal skills such as teamwork, leadership or effective communication.

Monitoring and networking

  • Personal tutor: you will be assigned from the first day to answer questions, help you plan tasks or recommend teaching resources. You can contact him through the platform, phone or email.
  • Teachers: they will solve all your doubts through the forums, individual feedback or joint sessions prior to the exams.
  • Networking: you will come into contact with professionals and students with interests similar to yours with whom you can share experiences and real applications of AI.

personalized learning

At UNIR we are committed to personalization both when organizing training resources and when drawing up itineraries adapted to each student, which allows you to improve your employment options.

Student support departments

We have academic and personal support services in case they are of interest to you:

The Academic Guidance Service (SOA) : helps students in their official studies, taking into account their work and family circumstances. It facilitates the reconciliation between work, family and studies, guiding each student individually according to their particularities.

The Special Needs Attention Service (SANNEE) : provides support to students in situations of temporary or permanent functional diversity, providing the most appropriate solutions for each case. Its priority mission is to achieve full integration into university life for all students.

Informacije o Institutu

The mission of UNIR is the comprehensive training of students in the skills, competencies, and knowledge required to excel in today’s society. UNIR is committed to meeting the needs and expectations of our stakeholders: students, teaching and research faculty, administrative staff, public administrations and society in general- by providing quality education that strives for continuous improvement and excellence. We are especially sensitive to attending individuals whose circumstances prevent them from studying on campus or who prefer the more open, innovative solutions that emerging technologies can provide online .

Values

The values of UNIR are:

  • Our commitment to student's success.
  • Tailoring of teaching tasks, attending students throughout their studies and supporting them as they seek employment.
  • Ongoing attention to innovation in our teaching and learning methodology.
  • Fostering and promoting entrepreneurial spirit.
  • Ability to respond to the expectations of students, teaching and research faculty, administrative and service staff, public administrations and society in general.
  • Degrees and study programs that meet the needs of society.
  • Meticulous attention to the quality of instruction and resources.
  • An open approach to the international dimensions of the university education.

In addition, UNIR, the Online University, is specifically committed to incorporating new technologies as an effective tool for learning in a university environment. There are three key aspects of our methodology that we wish to highlight. First, UNIR aspires to provide effective instruction that focuses on each student individually, adapting the pace of the students’ learning process to his/her circumstances. Second, to fulfill this aspiration, UNIR provides each student with a tutor to avoid the problems of anonymity and overcrowding so common in higher education. Third, UNIR ensures that the faculty and management personnel are fully committed to each and every student who embarks—sometimes with considerable sacrifice—on the adventure of pursuing a university degree.

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