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Master in Computer Science - Cybersecurity, Data Analytics and Artificial Intelligence (Título Propio)

Overview

The objective of this Master is to offer the tools and skills, which are highly sought after by the job market in the interface of artificial intelligent, data science and cybersecurity. Student will gain a knowledge of potential application of data-analytics and AI, machine learning, neural network methods and the mathematical models behind them. Moreover they analyze the enabling technologies such as Internet of Things and cloud systems and learn how they contribute to data analytics in mitigating the advanced cyber threats.

Targeted to

The master is addressed to:

  • Individuals with a technology background and who want to become experts in cyber security and artificial intelligence.
  • Individuals with an engineering background and an entrepreneurial mindset who want to start their own business in the domain of threat detection and prevention using data analytics.
  • Security professionals who want to advance their skills in data analytics.

Objetives

The aim of this master is to develop the employment skills which are essential to Security Operational Centres, Antivirus Software Companies, Artificial Intelligent Start-ups, e-commerce companies, and governmental organisations. It is designed for career-driven working professionals to transition into the big data and AI industry.

In association with

The objective of this Master is to offer the tools and skills, which are highly sought after by the job market in the interface of artificial intelligent, data science and cybersecurity. Student will gain a knowledge of potential application of data-analytics and AI, machine learning, neural network methods and the mathematical models behind them. Moreover they analyze the enabling technologies such as Internet of Things and cloud systems and learn how they contribute to data analytics in mitigating the advanced cyber threats.

Targeted to

The master is addressed to:

  • Individuals with a technology background and who want to become experts in cyber security and artificial intelligence.
  • Individuals with an engineering background and an entrepreneurial mindset who want to start their own business in the domain of threat detection and prevention using data analytics.
  • Security professionals who want to advance their skills in data analytics.

Objetives

The aim of this master is to develop the employment skills which are essential to Security Operational Centres, Antivirus Software Companies, Artificial Intelligent Start-ups, e-commerce companies, and governmental organisations. It is designed for career-driven working professionals to transition into the big data and AI industry.

  • Program

    Program

    The curriculum of the Master covers all the concepts of Data Science and Artificial Intelligence enabling students to develop the key competencies and skills that companies are seeking globally. The core courses of the Master provides the fundamental knowledge of software engineering useful to understand data science, the mathematics behind it, the principles of smart services, and how these fields are related through modern information systems. Students will gain theoretical and practical experience in using complex data systems and a critical awareness of the challenges caused by the data generation processes. The specialization courses of the Master are related to Intelligent web systems, web mining techniques, Neural networks and Information system and cybersecurity, analyzing cryptography, formal methods, secure software engineering, and machine learning.

    PROGRAM:

    • Fundamentals of Software Engineering.
    • Probability and Statistics.
    • Cloud computing and applications.
    • Information System and Security.
    • Artificial Intelligence.
    • Big Data.
    • Python programming.
    • Machine learning.
    • Project Work.
  • Methodology and materials

    Teaching system and study methodology

    The Master is delivered in a fully online format and can be attended completely online through the “MIA Digital University Campus”. Students can complete their assessments and exams online through the platform thanks to the support of their tutor. For each course students must pass a mid term and a final multiple choice test and a final exam that consists on an open question or a practical case to be solved.

    Teaching materials

    The didactic material of each course includes asynchronous video-classes, didactic unit and textbooks available in the university virtual library, webinars in real time and interactive discussions forum.

  • Calendar and Fees

    Duration, enrollment periods and start dates

    Semestre de primavera: 7 de Enero 2021/ 19 Febrero 2021.
    Semestre de verano: 14 de Mayo 2021.

    Fees and payment methods

    3,900.00 euro en 6 plazos de 650 euro cada uno.