(Specialization of the MSc Program in Business Information Systems)
The Analytical Business Intelligence specialization of the MSc Program in Business Information Systems is run by the Dept. of Telecommunications and Media Informatics.
Why study Business Information Systems?
Besides excelling at engineering and natural sciences, and providing worldwide recognized degrees in engineering, it also has a renowned school of economics at BME. According to international trends and to our co-operator worldwide research institutes and companies an emerging need is detected for the program. There is an increasing call for experts with MSc degree in Business Information Systems with specialization in Analytical Business Intelligence by multinational companies. These companies are striving to establish European education centres which meet their need for highly skilled human resources to support their regional operations.
Study in English
We intent to build a high quality, internationally recognised MSc program in order to attract some of the best students all over the world. In today's globalized world, students will have more and more opportunities to spend time abroad either working, studying or both. Completing the program in English would certainly increase the career opportunities of the students.
Scope of studies
The MSc degree in Business Information Systems with specialization in Analytical Business Intelligence (MSc in ABI) is a professional degree, designed to give students a thorough understanding on the field, about tools, methods, applications and practice of advanced analytics used in business life. It is focused on practice and theory with the goal to provide an education that is directly applicable to positions in industry. It is an integrated, interdisciplinary curriculum consisting of courses developed exclusively for business and industrial applications. The major highlight is on data mining, forecasting, optimization, text and media analytics, databases, data visualization, data privacy and security, and customer analytics. Students gain hands-on experience with the same complex tools used in industry today.
The companies are striving to establish education centres which meet their need for highly skilled human resources. For example, SAS Institute (Statistical Analysis System) company is the major supplier of new generation business intelligence products worldwide. It has a US based education centre in North Carolina State University, where an Institute for Advanced Analytics has been established. Due to cooperation between SAS and BME a similar agreement has been signed between the two institutions making BME a regional education centre. Another request for the English program comes from Morgan Stanley which has R&D centres for analytics and IT in Budapest with international staff.
The subjects of Business Information Systems with specialization in Analytical Business Intelligence are related to a discipline combining information technology (IT), informatics, business and management concepts. Graduates can fill positions like information manager, systems analyst, systems designer, project manager, business solutions developer, information system (IS) specialist, consultant in areas like enterprise resource planning, supply chain management, customer relationship management, or knowledge management.
Here you can find the complete curriculum of the course. It includes five subjects unique to this specialization:
Business and Financial Analytics ,
The main purpose of the course is to build up a theoretical basis for the external evaluation of the firms, and to support the investments based on that evaluations. Within that there are special...
Customer Analytics ,
The course is concerned with introducing the students to the theoretical and practical aspects of analyzing customer data. It also focuses on business practices for analytics and data mining...
Media and Text Mining ,
The course is concerned with introducing the students to the identification, assessment and analysis of the intelligent information search systems and multimedia retrieval systems. It also focuses on...
Risk Analysis and Management ,
The course is concerned with the identification, assessment and analysis of the different forms of enterprise risk. It also focuses on the techniques of handling and avoiding risks in order to help...
Trend Analysis and Visualization ,
Predictive Ananlysis of time series. Mapping problems in predictive analytics, solutions in practice. Support by standardized tools. Show and understand the surplus of visualization, and turn it...
Elective Courses (to be selected)
During the program one eelctive course must be selected from a list. The list of the elective courses held by our department can be found here.
Project laboratory, Scientific contest, Diploma work
Our department proposes a selection of up-to-date topics in every semester for the individual projects. Topics of the works include (but are not limited to):
- Different types of business analytics: risk analysis, customer analytics, financial analytics.
- Business strategies for the future: forecast, foresight.
- Solutions: market basket analysis, social network, enterprise content categorization.
- Analytic methods for the marketing: recommendation systems, social media analysis.
Some actual titles of the tasks for the students:
- Sentiment analysis and text mining
- Dashboards and other visualization based reporting
- Forecast in book market
- Churn minimization in large companies
- Data Mining
- Knowledge Management
- Optimization of Industrial Problems
Students are encouraged to take part of the yearly organized scientific contest (so-called TDK), which is described in detail here.
Free Elective Courses
The up-to-date list of the free elective courses offered by our department can be found here.
Each student in the MSc in ABI course has to complete a vocational training. Further details about the vocational training carried out in our department:
Related PhD program
The studies in MSc can be continued in the PhD program in Software Engineering, where students may research in different topics, e.g. data mining of time series, portfolio optimization, text mining, credit scoring. Further information about this opportunity can be found in the webpage of our PhD program.