This semester is devoted to a first part of fundamentals of business intelligence and computer science. The curriculum covers two key topics of business intelligence, namely, data warehouses and business process management, providing thus the necessary prerequisites for the second semester of fundamentals offered by UFRT.
It also introduces the three specializations offered during the third semester by teaching the following topics: (1) Decision engineering, for the specialization Decision Support & BI, (2) Software Engineering, for the specialization Service-Oriented BI, and (3) Database Systems Architecture, for the specialization Distributed & Large-Scale BI.
The semester is composed of the following 6 courses:
This second semester devoted to fundamentals aims at providing students with understanding, knowledge, and skills in the key areas of modern decision making systems. The curriculum is designed to provide a deep investigation of key theoretical concepts and techniques in BI, from the now classical technologies like data warehousing and data mining to advanced concepts like natural language processing, modern search engines technologies and user-centric approaches.
This semester consists of the following 6 courses:
Students will attend the summer school organized annually by one partner institution. Presented by leading researchers in the field, it represents an opportunity for students to equip themselves with the theoretical, practical, and collaboration skills necessary for developing challenging Business Intelligence applications. Furthermore, industrial presentations will allow participants to gain a deep understanding of current product offer.
More information on the summer school can be found in the Summer School page.
This specialization focuses on models and technologies related to Business Intelligence and decision-support systems. With a strong focus on unstructured data and semantics, this specialization covers topics induced by the evolution towards next-generation Business Intelligence. This specialization covers theoretical foundations such as advanced data mining as well as new models for Business Intelligence and decision support such as ontologies, graphs models and mining and models for decision-making in uncertain situations.
The semester is composed of the following 6 courses:
This specialization focuses on service companies and service-oriented architectures. The curriculum is designed to provide generic knowledge about services and service science, as well as specific techniques and tools to analyse and make decisions in this kind of business. Service-oriented architectures and protocols to implement information factory will be introduced and practised, while group work and project management skills and competences will be developed in a project-based learning environment around a specific BI project. Management knowledge and skills will also be developed.
This specialization consists of the following courses:
This specialization focuses on technologies and systems that enable data analytics on huge data sets. Students will learn the internals of databases and data analytics systems, from data representation, to query processing, multidimensional indexing and query optimization. A particular focus will be given to distributed analytics of huge data sets on a distributed, parallel system as well as the processing of textual data. Lectures will be accompanied by a hands-on lab course where students implement a data analytics engine as well as a student project where a student team will design and implement a solution to a practical analytics problem.
This specialization consists of the following courses (students must choose between H&DIS and LSDADM):
During the fourth semester, students are required to put into practice what they have learned during the previous semesters. This is achieved by a master's Thesis that can be done either as a placement in the industry or an internship in any full or associated partners. The thesis is evaluated jointly. The jury will be composed of one member from each full partner, one associate academic partner, and one associate industrial partner. The thesis work will be considered for submission to scientific conferences.
More information on master's theses can be found in the Achievements of IT4BI page.
More information on the final event can be found in the Final event page.
After 5 successful editions, IT4BI becomes BDMA! The Erasmus Mundus Joint Master Degree IT4BI has successfully welcomed five generations of students since its opening in September 2012. To better align with the new needs of research, education, and industry with … Continue reading
The Erasmus Mundus Joint Master Degree IT4BI has successfully welcomed four generations of students since its opening in September 2012. On September 2016, IT4BI will graduate its third generation and welcome its fifth one. IT4BI is funded for five editions … Continue reading
Students applying as self-funded (fee-paying) candidates can submit their applications until April 30th, 2016 or June 30th, 2016 depending on the nationality. More information on the admission page.
Thanks to our Ambassador’s programme, all students interested in the IT4BI programm can now get a first-hand account of the IT4BI experience from a former or current IT4BI student. To contact the IT4BI Ambassador of your choice, please refer the … Continue reading
We’re pleased to announce that the Sixth European Business Intelligence & Big Data Summer School will take place in Tours from July, 3td toJuly, 8th in Tours, France. This summer school, presented by leading researchers in the field, represents an … Continue reading