Master SBWL
Our specialisation modules offered in the Master's degree programme in Business Administration and Management and the contents of the subject examinations
Computer-aided modelling (PS, winter semester) (Secr. E3)
This course introduces the basics of simulation and modelling of economic processes and their implementation in simple computer programs. Using examples from production and logistics (simulation of queues, warehousing, production planning), possibilities are explained as to how these issues can be implemented in computer programmes and which problems must be taken into account in practice.
Students are expected to independently convert tasks into simple computer programmes and present them during the course, whereby the choice of programming language is left to them. Students with no previous knowledge of software programming will be offered a tutorial in Matlab programming to make it easier to implement the programming tasks set in the proseminar.
Production planning (PS, winter semester) (Secr. E3)
The course deals with machine scheduling, a sub-area of production planning. This involves the allocation of jobs (orders) to machines within a time planning horizon and taking resources into account. The aim can be, for example, to complete all orders on time or to guarantee the most even possible utilisation of the machines.
Simple algorithms for solving such problems are presented in the course.
Operational Optimisation (PS, SoSe) (Secr. E3)
The course deals with the tension between theory and practice. On the one hand, theoretical solution concepts are presented and on the other hand, the actions of decision-makers are analysed, which often deviate from the optimum.
In the first part, decisions are considered at the collective level, focussing on the theoretical and practical properties of collective decision-making procedures (choice procedures) and fair allocation (cost-sharing procedures).
The second part deals with optimisation problems from the field of logistics, in particular round trip and tour planning. Theoretical models and practical heuristics are presented and application studies are carried out.
Graph algorithms (PS, summer semester) (Secr. E3)
The course covers topics such as: Basic concepts of graph theory, algorithms on graphs, connection components, matching, spanning tree, shortest path, assignment problem (Hungarian method), maximum flow, application examples, marriage theorem.
Seminar from Operations Research (Secr. E3)
Information on the specialisation module "Operations Research"
- Quantitative Logistics Analysis
- Production Scheduling
- Transport and warehouse logistics
- Decision support in production and logistics
- Seminar on production and logistics
Information on the specialisation module "Production and Logistics"
- Introduction to Supply Chain Analysis
- Strategic issues in Closed-loop Supply Chain Management
- Tactical and Operational aspects of Closed-loop Supply Chains
- Sustainable Operations
- Seminar from Closed-loop Supply Chains/Sustainable Operations
Information on the specialisation module "Closed-loop Supply Chains/Sustainable Operations"
Currently advertised master theses:
Module D teaches digital skills in a business context.
Digitalisation means redesigning processes in companies and discovering business opportunities using 21st century technologies.
The focus ranges from IT as a tool for improving organisational processes to the use of big data for creating new business models.
In addition to basic theoretical concepts, hands-on knowledge is also taught.
In Module D (Digitalisation), you will acquire the necessary skills at first hand: from those who do digitalisation every day.
Framework conditions of the curriculum
- Module D corresponds to an SBWL.
- The Master's thesis can be written in Module D.
- Module D can be combined with 2 SBWLs or with one SBWL and Module C.
- Unfortunately, only D1 (Business Analytics and Data Science) or D2 (Information Science and Business Informatics) can be completed as part of the compulsory electives due to curriculum requirements. However, it is possible to complete parts of the second area as part of the free electives.
Courses of Module D1 - Business Analytics and Data Science (Secr. F3)
- Business Intelligence and Analytics
- Data Management for Business Analytics
- Case Studies Business Analytics
- Data-Driven Decision Support
- Seminar from Business Analytics
Applied Business Informatics (Secr. F3)
- Applied Information Systems 1 (Introduction to SAP)
- Applied Information Systems 2 (specialisation in SAP)
Empirical Economic Research (Secr. E3)
- Empirical Economic Research 1 (Statistical Data Analysis with SPSS)
- Empirical Economic Research 2 (Statistical Data Analysis with SPSS)
Project Management (Secr. F3)
- Project Management 1
- Project Management 2
Quantitative Research Methods (Secr. E3)
- Quantitative research methods 1 (behaviour and decision-making in complex natural systems)
- Quantitative research methods 2 (modelling and simulation of complex systems)
Computer-based decision support (Secr. E3)
- Computer-based decision support 1
- Computer-based decision support 2
Linguistic history
Over the centuries, English has become a global language - with around 340 million native speakers - and is now more widely spoken than any other language. Since the end of the Second World War, English has dominated politics, science and business worldwide.
English has thus become the international lingua franca and language of commerce because it has gained importance far beyond its original language area and is used for communication in supra-regional and international trade. English is the official language of most international organisations.
Courses
- Master Business English 1 (Problems in Public Policy, Level C1.1 Phase 2)
- Master Business English 2 (Accounting and Finance, level C 1.2)
Course descriptions
About the study
Computational social systems are created through the interaction of algorithms and the behaviour of users: The interaction of users with each other and with the system itself generates data from which algorithms determine results. The Master's programme examines socio-technical systems in which people, society, the economy and our legal framework are considered together with IT.
The programme is interdisciplinary in two senses. It allows you to study at two universities and in two subject areas. You can choose from the areas of
- Business analytics (business administration/computer science),
- Societies,
- Technologies and Social Research (Sociology/Computer Science),
- Human Factors (Psychology/Computer Science) and
- Law and Computer Science (Law/Computer Science)
can be chosen.
Further studies
After completing the Master's degree programme, it is formally possible to pursue further doctoral studies. The content of the programme is reviewed as part of the admission procedure.
Career prospects
Increasing digitalisation is permeating all areas of working life. In order to successfully implement this process, interface functions that mediate between technicians and other specialists are becoming increasingly important. In addition, jobs in cross-sectional topics such as human-machine interaction, applied IT law including data protection and data mining are also possible.
Information on registration
To enter the Master's degree programme, you must have completed a relevant undergraduate degree.
You can find more information about the Master's degree programme in Computational Social Systems here.
Prof Hans Kellerer and Prof Ulrich Pferschy are available as examiners. The examination is oral and lasts approx. 20 minutes. If necessary, additional sketches can be drawn on paper.
Essential are:
- Knowledge of the basic terms
- Meaningful definitions
- Conclusive explanation of algorithms
- Proof sketches only if they contain algorithmic-constructive aspects, no memorisation of notation
The subject matter of the examination is the content of the four SBWL courses.
The following is a rough outline of the material:
- Graph algorithms
- entire subject matter
- Computer-aided modelling
- only: Generation of random numbers with arbitrary distribution, equally distributed random numbers from [0, 1] can be assumed.
- Operational optimisation
- Part 1: Basic concepts, splitting methods, Shapley value, choice rules, Arrow's theorem,
- Part 2: TSP - all material, ILP models (only schematic), heuristics, incl. quality guarantee of approximation methods
- Production planning
- Basic concepts of scheduling. Problem variants, 3-field classification, one-machine problems (EDD, WSPT, Moore), branch & bound, job shop problems and the disjunctive graph model, dynamic programming with application to knapsack and scheduling problems, no complexity theory.
Material delimitation:
The final oral exam for the Business Analytics track covers all the material of the individual classes of the track.
In addition, the following articles are included.
- Dursun Delen & Sudha Ram (2018) Research challenges and opportunities in business analytics, Journal of Business Analytics, 1:1, 2-12, DOI: 10.1080/2573234X.2018.1507324.
- Ghasemaghaei, Maryam, Sepideh Ebrahimi, and Khaled Hassanein."Data analytics competency for improving firm decision making performance." The Journal of Strategic Information Systems 27.1 (2018): 101-113.
- Flath, C. M., & Stein, N. (2018). Towards a data science toolbox for industrial analytics applications. Computers in Industry, 94, 16-25.
- Loebbecke, C., & Picot, A. (2015). Reflections on societal and business model transformation arising from digitisation and big data analytics: A research agenda. The Journal of Strategic Information Systems, 24(3), 149-157.
- Lepenioti, Katerina, et al."Prescriptive analytics: Literature review and research challenges." International Journal of Information Management 50 (2020): 57-70.
- Celina M. Olszak & Jozef Zurada (2020) Big Data in Capturing Business Value, Information Systems Management, 37:3, 240-254,
Material delimitation:
- All courses completed as part of the specialisation , with the exception of the seminar in information science and business informatics.
The content of the four courses attended by the individual candidates is always examined here (for this purpose, candidates are asked to state at the beginning of the examination in which semester they completed the individual courses).
- Kuhlen, R./Semar, W./Strauch, D. (eds.): Grundlagen der praktischen Information und Dokumentation, 6th edition, Berlin: Walter de Gruyter 2013 (available as an e-book at the University Library!)
The following ten chapters from this book will be examined:
- A1: Information - Information Science (Kuhlen)
- A5: Copyright and Internet Law: Austria (Reichmann)
- B6: Ontologies (Weller)
- C1: Information and knowledge management (Krcmar)
- C2: From Open Access for documents and data to Open Content in science (Hilf et al.)
- C4: Online marketing (Griesbaum)
- C9: Security of information systems (Semar et al.)
- C10: Scientometric and bibliometric methods (Haustein et al.)
- D1: Search engines (Lewandowski)
- D7: Social Web (Griesbaum)
3. examination material with Otto Petrovic: Collection of materials provided by Otto Petrovic on request.
There are three examination dates per semester, on each of which one examiner (Otto Petrovic, Gerhard Reichmann) is available for all candidates.