Masters Artificial Intelligence for Games

The Master's Degree in Artificial Intelligence for Games focuses on the development and exploration of Artificial Intelligence (AI) techniques and algorithms with high potential for application in video games, both at academic and industry level. The cours Read more



DegreeMasters Semesters4 Credits120
  • Presentation


    The Master's Degree in Artificial Intelligence for Games focuses on the development and exploration of Artificial Intelligence (AI) techniques and algorithms with high potential for application in video games, both at academic and industry level. The course covers AI in the context of different areas of games, such as Human-Computer Interaction, Game Design, Computer Graphics or Data Science, and its use in interactive applications (2D/3D), AR/VR applications, digital cinematography and usability of graphic interfaces, and of course, commercial video games.
  • Admission Conditions

    Admission Conditions

    The following are eligible to apply: a) Holders of a Bachelor's degree or legal equivalent awarded by a national higher education institution in the areas of "Computer Science" and other related areas; b) Holders of a foreign higher academic degree, or legal equivalent, awarded following a 1st cycle of studies organized in accordance with the principles of the Bologna Process by a State adhering to this Process, in the areas of "Computer Sciences" and other related areas; c) Holders of a foreign higher academic degree, which is recognized by the Scientific Council as satisfying the objectives of the Bachelor's degree in the areas of "Computer Sciences" or in related areas; d) Holders of an academic, scientific or professional curriculum recognized by the Scientific Council as attesting to their ability to complete this cycle of studies. The selection criteria include: ¿ 50% grade of previous qualification ¿ 50% curricular assessment.
  • Who is this course for?

    Who is this course for?

    Graduates in Video Games, Computer Engineering, Mathematics, Statistics, and related fields. Students with the ability to work in teams on disruptive projects with the potential to redefine the direction of AI for games on an industrial and academic level.
  • Knowledge, abilities and skills to be acquired

    Knowledge, abilities and skills to be acquired

    Understanding the notion of an autonomous agent with ad-hoc or learned behavior, and implementation in different contexts (AI as a player, collaborator or opponent). Ability to understand and develop solutions for procedural content generation. Understand techniques for analyzing player behavior, as well as creating experiences for them through autonomous adaptation of games. Real insight into how these technologies are used in different areas of R&D in the game industry. Gain an insight into the future potential of AI for games and the ethical issues involved with these new technologies.
  • Objectives


    Promote excellent research in AI for games, supported by a multidisciplinary approach and with national and international scope. Bringing together lines of research such as Player Experience Modeling, Autonomous Agents, Procedural Content Generation and Data Science applied to Game Design. Offer industrial and academic perspectives on the state of the art of AI for games. Reinforce the importance and rigor of the scientific method, encouraging problem analysis and critical thinking.
  • Reasons for joining

    Reasons for joining

    • Specialisation in a Growing Industry: The video games industry is growing rapidly and relies heavily on innovative AI algorithms to keep up with this exponential development.
    • Innovation and Creativity: AI is revolutionising game design, allowing creators to design more immersive, intelligent and dynamic game worlds.
    • Competitive advantage: The video games industry is highly competitive. Having a master's degree specialising in AI for video games will set you apart from other candidates, making you more attractive to potential employers.
    • Versatility: AI skills are transferable to various areas. Although the focus is on video games, the knowledge acquired in this programme can also be applied to fields such as robotics, data science and computer vision.
    • Academic and Industrial Connections: This master's programme has strong links with various R&D institutions in industry and academia, offering plenty of opportunities to create connections with various national and international institutions.
    • Multidisciplinary Collaboration: By attending this master's programme, you will have the opportunity to work on interdisciplinary projects with professionals with a variety of skills, such as programmers, graphic artists, game designers and psychologists.
  • Invited Teachers

    Invited Teachers

    Dr. Antonios Liapis (Assistant Professor / University of Malta) Xalavier Nelson Jr. (Creative Director / Strange Scaffold) Dr. David Melhart (AI Researcher / Dr. Renata Ntelia (Assistant Professor / University of Lincoln) Dr. Pippin Barr (Assistant Professor / Concordia University) Diogo de Andrade (Independent Game Programmer) Geraldo Nascimento (Senior Lead Programmer / Lively - A Keywords Studio)
  • Career Opportunities

    Career Opportunities

    Professions in the Game Industry that require a strong command of concepts related to artificial intelligence, agents, machine learning, and data science, such as: ¿ Data Science ¿ Gameplay Analyst ¿ Gameplay Engineer ¿ AI Programmer ¿ Machine Learning Engineer ¿ Marketing Analyst ¿ Research and Development (R&D) ¿ UI/UX Analyst
  • Future Studies

    Future Studies

    Doctoral programs; Specialization courses in Games; Continuation of applied studies in research centers.
  • Infrastructure and Equipment

    Infrastructure and Equipment

    You will study at the Centro Universitário de Lisboa, located in the center of Lisbon, in Campo Grande. The university is equipped with state-of-the-art laboratories and equipment, including VR technology, Motion Capture, Games and 2D/3D animation labs, 3D printing, sound and film studios.
  • Research


    Despite the numerous links within the videogame industry and a vast participation of guests within the sector, the teaching staff also encourages work within the field of research and development of game technology, taking advantage of the wide range of available research centers at Lusófona University, with emphasis on the following: ¿ Hei-Lab - ¿ CICANT - ¿ COPLABS -
  • Observations


    After Work (Monday to Thursday from 18h30-22h00)

Lisboa | Esc.Comunicação, Arquitetura, Artes e TI


Other fees may be applied in accordance with the regulations in force.

Course Direction

Phil Lopes

Course Subdirection

Nuno Fachada


Daniela Resende

Graduation Requirements

Have completed a total of 120 ECTS.
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