Master | Information Systems

Theory and Practice of Electronic Business

Information Systems


One of the most popular e-environment tools in entrepreneurship are online shops. Placement of goods in retail is vitally important, because the shop's turnover, and consequently the profits, will depend on it. By using methods of conventional merchandizing, e-merchandizing can be improved. 


Management Science and Engineering
the broad interdisciplinary study of problem solving and decision making in human organizations, with strong links to economics, business, engineering, and other sciences. It uses various scientific research-based principles, strategies, and analytical methods including mathematical modeling, statistics and numerical algorithms to improve an organization's ability to enact rational and meaningful management decisions by arriving at optimal or near optimal solutions to complex decision problems. In short, management sciences help businesses to achieve goals using various scientific methods.
Schedule Full-time
Duration 1 Years
Presence of students On-campus
Enrollment capacity per term 1
Average number of applications per term 1
Total number of enrolled students 5
Scholarships available Yes



The course is designed for the senior IS management students with the knowledge of Probability, Applied Statistics and Operational Research to develop their ability of data analysis by learning the main methods of data mining and using the mathematical software as tools. This course includes methodology of classifying such as Clustering, Discriminant Analysis, Decision Trees and Neural Network, data reduction techniques such as Principle Analysis, Factor Analysis, Canonical Correlation Analysis, and evaluation techniques of AHP and DEA. By introducing the mathematical modeling into management science, it will enable students to develop their ability to integrate those methods into the data mining process.



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