In view of the increasing digitalisation of company processes, it is clear that the demands on information processing are increasing and that handling data is an indispensable core competence for future graduates. The acquisition of competences in the field of Business Intelligence (BI) and Data Analytics is therefore crucial, as the need for analytical skills is increasing and is now an elementary component of decision-making in the daily work of companies.

To this end, the specialisation imparts knowledge in:

• Modelling and application of business intelligence - in the dimensions of data acquisition, data management and data analysis
• In-depth understanding of business intelligence and data analytics approaches
• Knowledge of the application fields of business intelligence and data analytics
• Procedures and typical business intelligence and data analytics tools and methods

The modelling and application of business intelligence in data acquisition, data management and data analysis is an essential part of this specialisation. It is important that you are not only familiar with the various business intelligence tools and techniques, but that you are also able to use and adapt them effectively to perform complex data analyses using business intelligence. In addition, you should be familiar with the various challenges that arise when working with large amounts of data and heterogeneous data sources.

Students in this specialisation are taught the following skills, among others:

• Knowledge of methods and approaches in research and practice in the field of BI and data analytics
• Knowledge of methods for modelling at the semantic, logical and physical level of a data warehouse
• Knowledge of visualisation options, preparation of key figures and design of key figure systems for decision support
• Knowledge of the design of data-driven and BI-supported processes

Students in this specialisation acquire the following skills, among others

• Handling methods and tools for business intelligence e.g. SAP HANA, BI and data analytics open source solutions with a focus on big data and data analytics
• Methods from the field of data mining and modelling of data models for use in BI and data analytics, e.g. data warehouse, ETL/ELT, CRISP-DM

After completing this specialisation, students will have the following skills, among others

• Understanding of the approaches and fields of application of business intelligence and data analytics
• Ability to apply proven methods and tools for data modelling and information processing with the aim of suitable presentation for decision support

The specialisation is aimed at

• Students who want to master analytical systems for decision support and data-driven projects and processes, as well as
• students who want to learn the background and methods of decision support.

Graduates of the Business Intelligence and Data Analytics specialisation are characterised by the acquisition of comprehensive knowledge, both at a technical and professional level, in the field of decision support and data analytics. They are thus equally qualified for demanding activities and management functions in university and industrial research as well as at various company levels.

Students of the specialisation must take Master's modules totalling 30 CP from the specialisation area. The following modules are compulsory:

• inf604 Business Intelligence I
• inf607 Business Intelligence II
• inf541 Data Challenge

In addition, two modules should be selected from the following (non-exhaustive) list, whereby an elective module consists of either a module with 6 CP or, as an equivalent, two seminars with 3 CP each:

• inf008 Information Systems II
• inf109 Information Systems III
• inf535 Computational Intelligence I
• inf536 Computational Intelligence II
• inf537 Intelligent Systems
• inf1212 Designing Explainable Artificial Intelligence
• inf5402 Trustworthy Machine Learning
• inf5408 Applied Deep Learning in PyTorch

Furthermore, the project group and the Master's thesis should be chosen with reference to the specialisation.