Management Engineering (SME)
Curriculum and Prospect
Management engineering is a branch of engineering which deals with the data analytics and optimization of complex processes, systems, or organizations to solve specific problems in industry and management. The School of Management Engineering (SME) in UNIST provides the following curriculum for undergraduate students. In the UNIST SME, the student can become a data scientist who can solve problems with data and cultivate capability to be a leader in industry or academia..
Research direction in the graduate school
In the graduate school, the student can conduct research on data-driven models, methods, and systems in the fields of data mining, machine learning, statistics, financial engineering, technology management, business process management, service science, and so on.
Research topics and participation into a laboratory
The research topics in UNIST SME are categorized into data analytics and optimization, system and process improvement, and financial engineering. Please visit the school homepage for further detail (http://sme.unist.ac.kr/). The school operates the “Field Exploration” program every year. This program aims to support learning and growth of the SME students by assigning an advisory professor, as well as to support the students to experience in management engineering research and practice and to broaden understanding of the field, so that they can become an expert. Interested students with a different major and freshmen can apply. The students can participate in a specific laboratory and solve real-world research problems. The students can connect this program with the Research Internship Credit.
Factors to consider in choosing the Management Engineering track with another track
The following picture shows several convergence examples between the UNIST SME and other schools. For example, if the student is interested in developing/using big data or artificial intelligence for industrial and management problems, a combination of the SME and ECE is recommended.
Prerequisite knowledge or subjects
Knowledge from basic statistics, linear algebra, and programming courses would be very useful in following the SME curriculum.