Contents of the Business Analytics course
The canon of subjects in the Business Analytics course of study consists of the "triad" of acquiring business management knowledge (so-called domain knowledge), acquiring IT-technical basics (e.g. programming, data, databases, software tools, IT projects and project management methods), as well as knowledge of mathematical-statistical procedures in order to understand, build, interpret and apply models, algorithms and applications.
This will enable you to use business analytics algorithms, to think data-based and to prepare or make data-based decisions as an executive.
- Database Management
- Programming languages
- Data mining
- Visual business analytics
- ERP-Systems
- Software engineering
- Data engineering
- Agile methods
- Data ethics, law and protection
- Analysis of databases for economic potential
- Target group oriented communication of evaluated data
- Implementation of business analytics projects
- Descriptive and evaluative statistics
- Interaction of company data and business processes
- Personality development through self-management and soft skills
Course of studies in Business Analytics
The Business Analytics study program is designed in such a way that in the first half of your studies you will primarily acquire specialist skills in the field of business administration. This so-called domain knowledge is necessary in order to build up an understanding of the business world which you need for the formulation, analysis and solution of business analytics problems. At the beginning of the second half of the program, you will enter the field of Business Analytics via the Information Technology module block. In the further course of the second half of the course, your skills and knowledge are deepened in the module blocks Technical Methods in Business Analytics and Application Business Analytics. Especially at the end of your studies, especially in the courses Business Analytics Project I and II, Practical Experience and Realization, you will be able to apply what you have learned in practice. Courses of mathematical and statistical nature are spread over all semesters and support both the business administration and business analytics areas.
Goals of the Business Analytics course
After graduation you will be able to support companies in coping with the so-called digital transformation, to further develop existing business models through data-based analysis, to apply modern IT technologies & tools for problem definitions, to develop innovative questions and solutions based on structured and unstructured data and to improve the quality of decision-making in companies.
Your bachelor program - divided into modules
1. Semester | Credit Points |
Block 1: Business Concept |
Self-Management | 2 |
Business English | 4 |
Introduction in Business Administration I (Creating a Business Plan) | 2 |
Introduction in Business Analytics | 2 |
Block 2: The Market |
Mathematics I | 2 |
Microeconomics | 4 |
Macroeconomics | 2 |
Statistics I | 2 |
Block 3: Performance Output
|
Procurement | 3 |
Production Management | 3 |
Physical Distribution | 2 |
Mathematics II | 2 |
Credit Points per semester
| 30 |
2. Semester | Credit Points |
Block 4: Marketing |
Marketing & Sales | 6 |
Statistics II | 4 |
Block 5: Financial Planning I
|
Investment & Financing | 2 |
Cost & Performance Accounting I | 2 |
External Accounting I | 2 |
Mathematics III | 4 |
Block 6: From Theory into Practice |
Academic Work & Presentation Techniques | 2 |
Project Management | 2 |
Quality Management | 2 |
Project Seminar I | 4 |
Credit Points per semester | 30
|
3. Semester | Credit Points |
Block 7: Legal Basics |
Public Law | 3 |
Private Economic & Commercial Law | 3 |
Data ethics & Data Protection Law | 4 |
Block 8: Information Technology |
Introduction in Computer Science | 2 |
Application Oriented Data Processing | 3 |
Introduction in E-Business | 2 |
Programming & IT-Projects | 3 |
Block 9: Company Organisation |
Human Resources & Organisation | 4 |
Controlling | 4 |
Business Management & Planning I | 2 |
Credit Points per semester | 30 |
4. Semester | Credit Points |
Block 10: Business Analytics in Companies
|
Quantitative Methods of Scientific Work | 2 |
Introduction of ERP-Systems | 2 |
Application of ERP-Systems | 3 |
Business Analytics English | 3 |
Block 11: Computer Science for Business Analytics
|
Java | 4 |
Software Engineering & agile Methods | 3 |
Data Engineering | 3 |
Block 12: Best Practice |
Human Resources Management | 4 |
Project Seminar II | 6 |
Credit Points per semester | 30
|
5. Semester | Credit Points |
Block 13: Technical Methods of Business Analytics
|
Business Analytics - Technics and Tools | 4 |
Job roles and technical Method Knowledge | 3 |
Visual Business Analytics | 3 |
Block 14: Advanced Methods Business Analytics
|
Quantitive Methods in Business Analytics | 5 |
Business Analytics - Using Tools in Projects | 5 |
Block 15: Application of Business Analytics
|
Business Analytics Project SCM | 5 |
Business Analytics Project Topic of your choice | 5 |
Credit Points per semester | 30 |
6. Semester | Credit Points |
Block 16 - 17: Practical Experience |
Internship | 14 |
Block 18 - 19: Realisation |
Bachelor's thesis incl. colloquium | 16 |
Credit Points per semester Sum | 30 180 |