Areas of Concentration and Lines of Research

• Concentration area

The program has a single concentration area called Applied Computing. It is an area that aims to work on knowledge in concrete applications of computing. And the program directs these applications to two segments of computing that are among the greatest challenges today: "Data Science and Applied Analytical Methods" and "Interactive Systems", and which are its Research Lines of the program.

The option for "Applied Computing" was made because it is an area that meets all the fundamental requirements that should guide a professional master's degree, namely: it must be associated with the needs of the regional market (São Paulo and region), opportunities for research and development, support from the business world (which the program has), and fundamentally, the skills of the program's professors and the infrastructure available at the university.

The objective of the course is, based on the competence of the teaching staff, to create and transfer solutions to the practical reality of companies, through the students. The use of computational tools accessible to every professional and an intense hands-on based on real cases is the standard of the course.

Thus, technological innovation is promoted, increasing the technical qualification of professionals and companies.

The area is structured in such a way that the course plays the role of a link with the market, thus differentiating it from an academic master's degree, and aiming to transfer solutions and technological innovations to organizations that leverage qualification and that are effectively implemented, once the Technological success fundamentally depends on business involvement, which is ultimately responsible for completing the innovation process.

Research tracks

Interactive Systems - This line of research works with Interaction Design/User Experience and with Virtual Environments and Digital Entertainment, involving the analysis and solution of user-centered problems, with applications in health, tourism, advertising, architecture, entertainment, industry automotive, education and educational games.

The line addresses Hypermedia, Digital Games, Augmented and Virtual Reality, Natural and Multimodal Interfaces, involving the development and implementation of processes, projects and evaluation methods, considering innovation and technology suited to the reality of the Brazilian market.

The Interaction Design/User Experience axis focuses on experience design processes based on different approaches, methodologies and techniques aimed at creating interactive systems and interfaces. The axis also deals with the evaluation of interactive systems, through consolidated methodologies, such as usability evaluation techniques focused on the user with controlled or natural environments, in addition to evaluations focused on usability specialists, such as heuristic evaluation and cognitive path.

The axis of Virtual Environments and Digital Entertainment addresses the development of techniques, processes, environments, tools, frameworks and libraries for the design and implementation of Virtual Reality, Augmented Reality, Ultra-High Definition (UHD-4K), Digital Television systems Interactive and Entertainment.

To support the development of digital games, the axis addresses techniques and processes for specific design and development for this class of applications, storyboarding, creation of scenery, characters and plot, in addition to physical and dynamic aspects, gameplay and interaction itself.

Data Science and Applied Analytical Methods - This line of research is associated with two of today's main challenges: Big Data and Applied Analytical Methods. These are axes that interrelate and complement each other and that have been treated in the literature and in the market as the Big Data/Analytics environment.

Big Data is more directly dedicated to the initial treatment phase of large masses of data, encompassing the stages of data collection, preparation, organization and storage. It studies concepts and instruments that make the data ready for the next phase of analysis. It deals with collection procedures through sensors or other means, including the internet of things. In processing and storage, it addresses data standardization protocols for integration and the study of data reception tools in Big Data/Analytics platform and management systems with parallel processing capacity of large masses of data.

The second axis, Applied Analytical Methods (the “Analytics”) covers several areas of knowledge, such as: Artificial Intelligence (AI), Advanced Statistical Analysis and Operational Research (OP). The axis will address exploratory analysis and data visualization using techniques and computational tools, which synthesize large volumes of data and allow new perceptions (insights) about the mass of data. But, mainly, at the most advanced level it will involve more sophisticated techniques with predictive and/or prescriptive objectives, supported by mathematical models based on AI, using various machine learning techniques, artificial neural networks, deep learning and metaheuristics of various types, some widely used, inspired by processes in nature. In addition, classical techniques of statistical inference and PO.