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 6 courses:
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.
The closing event of the program is the workshop Business Intelligence: Innovation Meets Research" organized annually by one partner institution. In this workshop the industrial partners will present their recent developments and current research problems. This will be also the occasion for students to look for job opportunities. In this workshop the students will also defend their Master Thesis, which will allow industrial partners to evaluate the students and their skills. Finally, this will be the ideal place for all partners, especially the associated ones, to assess the programme, and for the consortium to discuss best practices and curriculum evolution.
More information on the workshop can be found in the Workshop page.
IT4BI is now on facebook!
The 9th edition of the French-speaking workshop on data warehousing and OLAP (EDA 2013), is organized by UFRT and will be hosted in Blois early June 2013.
The new application session for 2013-2015, starts from September 1st, 2012. Note that there are now two distinct application periods, one for those applying for a scholarship, and the other for those applying as fee paying (i.e., self sustained) students. … Continue reading
The Erasmus Mundus Joint Doctorate in Information Technologies for Business Intelligence – Doctoral College (IT4BI-DC) is new Erasmus Mundus Joint Doctoral Programme that is a continuation of IT4BI. Visit it4bi-dc.ulb.ac.be for more information on IT4BI-DC.
IT4Bi student guide is online, to download it, visit the facilities and support services page.