Description
The “Service Engineering and Management” (SEM) master program responds to a worldwide demand for the growth and innovation of services. As services become an increasingly important part of value creation in modern societies and economies, their complexity and scope increase, becoming globally dispersed. Thus, it becomes necessary to model, develop and operate integrated systems for client-centred, sustainable services, based on interdisciplinary approaches (engineering, management, marketing, human psychology) with IT support using advanced technologies: Web, Cloud, SOA.
Relevance to the job market
The courses taken in the SEM master’s program offer the following range of knowledge:
- Modelling and implementation of business process flows in the field of services;
- Development of IT applications for services using modern technologies: SOA, web, cloud;
- Capacity planning for services; adapting capacity to demand; automating front- and back-office processes.
Required knowledge
Computer programming, databases, communication protocols, information systems and computer networks, data flow modelling, discrete event systems.
Competences and skills acquired
- Working with scientific concepts and methods in interdisciplinary fields;
- Integration of concepts and methods specific to economic sciences and marketing in the development of services;
- Integration of the principles of psychology and communication in the development of services;
- Modelling and implementation of business process flows in the field of services;
- Development of SOA (Service Oriented Architecture), ESB (Enterprise Service Bus) and SaaS (Software as a Service) architectures;
- Development of IT applications for services;
- Web, Cloud and automation technologies for services
Course structure
Year I, semester I
| Course 1: | Modelling of Economic Processes |
| Course 2: | Data Mining and Data Warehousing |
| Course 3: | Architecture of Enterprise Information Systems |
| Course 4: | Network and Systems Security |
| Course 5: | Scientific Research 1 |
| Course 6 (elective): | Communication Management and Cognitive Psychology Knowledge Engineering and Service Ecosystem |
| Facultative course: | Design and management of educational programs |
Year I, semester II
| Course 1: | Business Process Modelling |
| Course 2: | Web Services and Development Tools |
| Course 3: | Service Management. Strategy and Innovation |
| Course 4: | Supply Chain Management and Logistics |
| Course 5: | Scientific Research 2 |
| Course 6 (elective): | Digital Marketing New Services with IoT and Mobile Technologies |
| Facultative courses: | Psychopedagogy of adolescents, young people and adults Counselling and guidance / Multimedia in education (Optional 1) |
Year II, semester I
| Course 1: | Business Process Integration and Management |
| Course 2: | Accounting and Financial Management of Business |
| Course 3: | Service Operations and Customer Relationship Management |
| Course 4: | Entrepreneurship and Intellectual Property |
| Course 5: | Scientific Research 3 |
| Course 6 (elective): | eServices for Administration and Business New Services with IoT and Mobile Technologies |
| Facultative courses: | Didactics of the field and developments in the didactics of the specialization Sociology of Education / Intercultural Education (Optional 2) |
Year II, semester II
| Course 1: | Scientific research, practice and development of master’s thesis |
| Course 2: | Ethics and Academic Integrity |
Research Themes
- Performance evaluation for classification and clustering algorithms
- Modelling systems for services
- Software system for the management of IaaS Cloud services
- System for checking and enforcing security policies in a Cloud system
- Capacity planning in public transport services
- Optimizing the allocation of resources for job shop and flow shop processes
- Orientation of manufacturing and automatic driving processes towards services
- Aggregation of microservices in the Bluemix environment
- Services with IoT technologies
- Cloud models and services for GPU-based infrastructures
- Web services with mobile devices
- Robotic Process Automation (RPA) of back-office processes for services
Programming languages and technologies used
JAVA/JADE, ILOG CPLEX OPL, Excel (Solver, Data analysis), C++, SQL, Linux, BASH, Matlab, Cloud Bluemix, MySQL, DB2, BluePrism
Other information
Teaching language: English
Partner companies: IBM, ORTEC
International partnerships: ERASMUS