Companies operating in data-intensive industries include those that provide data analytics services (such as solution providers and vendors) and those that rely heavily on data processing (such as finance, e-commerce, and healthcare). In this domain, the structural analysis of business processes and related data is particularly a critical driver for business success. The students in this track learn how to use methods, techniques and tools for advanced analysis of processes and data to support organizations in optimal data-driven-decision making. Main research topics of OML within data-intensive industries include data mining, process mining, machine learning, deep learning, artificial intelligence, decision support, business process management, and human performance.
Within the specialization track 'Data Intensive Industries' there are 20 ECTS of track core courses.
Quarter | Code | Course | EC |
3 | 1BM110 | Data Analytics for Business Intelligence | 5 |
4 | 1BM120 | Decision Making with Artificial and Computational Intelligence | 5 |
4 | 1BM130 | Design of Data-Driven Business Operations | 5 |
Choose one out of 2
Quarter | Code | Course | EC |
2 | 1CM10 | Modeling & Analysis of Manufacturing Systems | 5 |
4 | 1CM100 | Multi Echelon Inventory Management | 5 |
Besides these mandatory specialization courses, you need to choose at least 15 EC of Specialization Electives:
Quarter | Code | Course | EC |
1 | 0LM120 | Perspectives on Medical Technology | 5 |
1 | 1CM150 | Advanced Planning and Scheduling Systems | 5 |
1 | 1ZM31 | Multivariate Statistics | 5 |
1 | 2AMI10 | Foundations of Process Mining | 5 |
1 | 1BM140 | Engineering Knowledge-Intensive Business Processess | 5 |
2 | 1BM05 | Business Process Management | 5 |
2 | 1BM20 | Business Analysis for IT Systems | 5 |
2 | 2AMI20 | Advanced Process Mining | 5 |
2 | 1CM10 | Modeling & Analysis of Manufacturing Systems | 5 |
2 | 1JM30 | Managing Team and Team Performance | 5 |
2 | 1JM100 | Management of Organizational Change and Innovation | 5 |
2 | 1CM190 | Health Care Operations Management | 2.5 |
2 | 1CM200 | Warehouse Operations Management | 2.5 |
3 | 1CM22 | Integrated Financial & Operations Management | 5 |
3 | 1ZM65 | System Dynamics | 5 |
3 | 2DI66 | Advanced simulation | 5 |
3 | 1JM40 | Behavioral Operations Management | 5 |
3 | 2AMM15 | Machine Learning Engineering | 5 |
4 | 1CM100 | Multi-Echelon Inventory Management | 5 |
4 | 1JM21 | Designing Effective Performance Management Systems | 5 |
Besides the core courses and specialization electives (of this track as well as of the other tracks), we offer two additional OML courses that can be followed as free electives:
- 1CM240 - Artificial intelligence for logistics and its interfaces, Q1
- 1BM10 - E-business, Q4