Master's degree programme Engineering and Management (second cycle)

Study programme:Master's degree programme Engineering and Management (second cycle)
Main fields of study:Engineering and Management
Programme code:2GI01
Programme cycle:Second cycle master’s degree
Name of the qualification:Master's degree
Qualification title:magister gospodarski inženir (Master of Science)
Qualification abbreviation:mag.gosp.inž. (M.Sc.)
Final examination:no
Dean:prof. dr. Imre Cikajlo
Programme director:prof. dr. Aneta Ivanovska
ECTS coordinator:prof. dr. Iztok Arčon

Programme description

The syllabus has a distinct interdisciplinary and research character. It covers all the major fields of management and economics, as well as technology and engineering, information sciences and environmental sciences.

The programme consists of required subjects, obligatory elective subjects, elective subjects, group and individual projects.

The study course is organized as a series of short intensive courses, seminars and laboratory exercises. Teaching language is Slovene or English for specific courses in the case that sufficient number of English speaking students is enrolled to the course.

The study is based on a system that defines the required number of credit points for each degree and leaves the choice of the subjects mostly to student and his/her mentor.

Master's degree candidates must complete the following study requirements: all required exams, project's work, and successful defense of the master's thesis.

Curriculum of the master's degree programme Engineering and Management

Admission requirements

Applicants should normally have a first degree in the fields of technology, engineering and management, natural sciences, economics or organization, with a total of at least 180 ECTS.

Applicants with a first degree in other fields of study (180 ECTS) should write to the School's study programme committee, who will determine which additional exams the applicants need to take before enrollment.

Applicants who have obtained BSc degrees in the fields of technology, engineering and management, economics or organization with a total of 240 ECTs can proceed to the second year of the Master's programme. Individual assessment of candidate's exams, ranging from 18 to 21 ECTS, is done on his/her enrollment into the second year.

Applicants who have obtained more than 180 ECTs in other fields of study in the course of undergraduate programmes should write to the School's study programme committee, who will assess each case individually and determine the number of eligible ECTS (max up to 60 ECTs).

Applicants are selected on the basis of their success in their previous education.

Educational and professional goals

A graduate who completes the Master's programmes will show a distinctive multidisciplinary and interdisciplinary knowledge of the field. He or she will be able to work efficiently in places which do not require narrow or very specific technical knowledge, but a good technical foundation coupled with economic and organizational skills. He/she will be able to integrate different more or less specialized groups into an efficient team, a skill needed by team and production leaders. If he/she is chosen not to act as a team leader, his/her main role will be to liaise between professionals of different backgrounds (technical, technological, economic, organizational, and other) and thus ensure business efficiency within interdisciplinary fields.

Access to further studies

After the completion of Master’s Study programme, candidates can continue their study in different study programmes leading to the doctoral degree, in accordance with the enrollment requirements.

Assessment

The forms of checking and evaluating knowledge in individual subjects are as follows: written exams, oral exams, colloquiums and seminar assignments. In the case of projects, a public presentation of the results is also required in addition to the written product. The student completes his studies by defending his master's thesis before a three-member committee.

Master's Thesis

Special emphasis is placed on the master's thesis, which is an independent professional work, with which the graduate proves that he systematically uses the acquired knowledge to solve demanding tasks in the field of engineering and management. In the master's thesis, the student researches and solves a specific task, and the subject of the master's thesis is approved in advance by the school senate based on a written proposal. This determines the mentor and the committee. After completing the master's thesis, the candidate publicly defends the work before the committee. The exact procedure is provided in the master's degree regulations.

1. year

Compulsory courses Hours ECTS
Economy for Engineers 300 12
Introduction to modern technological systems 300 12
Project 1 225 9
Selected topics in applied mathematics 150 6
General elective courses Hours ECTS
Advanced Materials 150 6
Artificial Intelligence for Data Analysis 150 6
Business English 150 6
Development of innovative products and services 150 6
Industrial design 135 6
Internet of things 150 6
Knowledge Management 150 6
Production Information Systems 150 6
Compulsory elective Hours ECTS
Automatic Control Systems 225 9
Contemporary measurement techniques 225 9
Decision support models and systems 225 9
Open Source Information Systems 225 9
Optimization of resources and processes 225 9
Robotics 225 9

2. year

Compulsory courses Hours ECTS
Company Strategic Management 225 9
Individual research project 2 150 6
Masters thesis - 15
Selected Topics from Information Sciences 225 9
General elective courses Hours ECTS
Advanced Materials 150 6
Artificial Intelligence for Data Analysis 150 6
Business English 150 6
Development of innovative products and services 150 6
Industrial design 135 6
Internet of things 150 6
Knowledge Management 150 6
Production Information Systems 150 6
Compulsory elective Hours ECTS
Automatic Control Systems 225 9
Contemporary measurement techniques 225 9
Decision support models and systems 225 9
Open Source Information Systems 225 9
Optimization of resources and processes 225 9
Robotics 225 9