A welcoming video by Professor Lotfi Zadeh (University of California, Berkeley) can be seen below.
The teaching staff was selected among the top experts in this field. All lecturers had extensive teaching experience (on average, 15 years) and a world-class reputation in research. They had advised on average more than 5 PhD dissertations.
European Centre for Soft Computing
University of Oviedo
This module was dedicated to the study of the main paradigms which constitute Soft Computing (SC) and Intelligent Data Analysis (IDA), as well as some other important questions as experimental design. The module was fundamental and mandatory since those techniques were considered as known in the following modules while working on specific domains of application.
This module was dedicated to cover some additional concepts, methods, and general questions in the field of SC and IDA, giving the student the opportunity to define his profile inside this broad field. It also included a Program of Seminar on Soft Computing and Intelligent Data Analysis which offered the students a really wide approach to the topic including new trends and presentations from companies working in the field.
The Master project should be related to the main topics of the Master. The sponsoring firms suggested industrial applications topics for master projects and students were invited to work with them.
The ECSC promoted and organized an international Master in "Soft Computing and Intelligent Data Analysis" between 2009 and 2012 in collaboration with the University of Oviedo. This official Master program was fully adapted to the European Higher Education Area.
In order that economic factors did not prevent qualified and motivated candidates from joining the Master, the European Centre for Soft Computing developed a scholarships programme funded by important companies. Scholarships were open to all applicants and were awarded on the basis of academic excellence.
The European Centre for Soft Computing collaborated with companies facing real world data analysis challenges. The firms sponsoring the Master funded one scholarship and part of the operational costs of the academic program. The sponsors participated in the Seminars Program, provided topics for the Master Projects and had preferential access to a pool of exceptional young researchers for recruiting purposes.
The last module was devoted to the study of specific application areas. It was the more flexible module since all the courses were optional and their contents were adapted to hot topics.
The general objective of the Master program was to train students for highly qualified positions in a wide range of jobs in the public and the private sector as well as to provide students with the foundations required to pursue a PhD degree.
The curriculum emphasized up to date scientific knowledge and the application of analytical problem-solving skills to several types of common business problems: forecasting, optimization, classification, data mining, etc.
It is quite common when working on real-world problems that the available information suffers from uncertainty, imprecision or incompleteness. At the same time, huge machine-readable data sets which are a valuable source of information remain unexplored due to their complexity. Soft Computing (SC) and Intelligent Data Analysis (IDA) form a powerful combination to cope with these situations. Applications can be found in all sectors: engineering, finance, marketing, operations research, bioinformatics, medicine,...
The tremendous potential of Soft Computing and Intelligent Data Analysis is not a vague idea but a reality in plenty of industrial sectors with applications and products such as: appliances as cameras, automotive equipment as intelligent parking systems, monitors for traffic control, risk management for insurance and bank products, tools to optimize the production of industrial plants, decision support systems for health applications, etc. The European Centre for Soft Computing and the University of Oviedo joined forces to offer a Master in Soft Computing and Intelligent Data Analysis.
Over 90% of our MS Students got a job less than one year after obtaining their degree, which confirms the need of the society to rapidly incorporate such qualified professionals to different sectors.
The program was designed to provide a balanced mix of academic and professional training. The topics covered make it not only academically challenging but also tuned to the needs of competitive industries.