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Academics Business Analytics - B.Sc.

Start WS | Hamm or Leverkusen

Business Analytics (B.Sc.) - full-time
New course!

Business Analytics (B.Sc.) Be a pioneer!

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Your contact for this study programme

Ramona Straten (M.A.)

This course is currently in the accreditation process.

Benefit from our geographical expansion into the Rhineland's metroplitan region and choose your study location: Hamm or Leverkusen - Now you can decide! For more information, send us a message to or go to

Changing digitalization: Business Analytics degree programme prepares students for the future

The Business Analytics degree course provides you with sound business and IT management knowledge and skills with a focus on business analytics.

Studying Business Analytics means that you will deal with the use of digital techniques in a business context and will be enabled for your future job to improve the quality of decision-making through data-based insights and the organisational performance of companies.

The focus of the Business Analytics degree course is on

  • a data-analytical way of thinking,
  • of business management knowledge,
  • of analytical-methodical skills and
  • of skills for the practical application of what has been learned in theory.
Apply now Download info material Junge Frau schaut in Kamera

Your contact for this study programme

Ramona Straten (M.A.)

  • Overview
All facts at a glance
Degree Bachelor of Science
Credit Points

180 CP

Duration of Study

6 semester (3 years)

Start Date

Annually, beginning 1st October and 1st April

Study Type Full time
Admission Requirements

One of the following:

  • General university entrance qualification or
  • University of Applied Sciences entrance qualification
  • North Rhine-Westphalia extended university entrance qualification
  • For international applicants: university entrance qualification or equivalent

Additionally, we require proof of proficiency in English (for example, a TOEFL-level of 600 (pbT) / 80 (ibT), IELTS-level of 6.5 or an equivalent certification). No test required for students from countries with English as the offical language in education.

Important information: Please note your country-specific visa deadlines in order to start studying in Germany. We can only guarantee you a place at our university of Applied Sciences if you have a valid visa to study in Germany. Please contact the German embassy in your home country for exact deadlines.

For international students with local university entrance qualification:

  • Passing entry exam with good score – admission
  • Passing entry exam – admission with additional integrated study courses



Languages English
Enrolment fee

680 € per month plus a one-time registration fee of 750 Euro for students from non-EU countries.

Please note: Non EU-citizens will be asked to pay the amount for 12 months of the respective course fees as well as the one-time registration fee in advance. It is also mandatory for the student to pay the amount for 12 months of the respective course fees for an additional year at the latest 3 months before the start of the new academic year.


This course is currently in the accreditation process.

Special feature

CORE - Competence Oriented Research and Education

The CORE principle is characterized by an active approach to education that promotes independent and project-based learning. In addition to gaining expert knowledge in their chosen discipline, students also develop comprehensive methodological, social, and personal skills - everything they need to launch a successful career.

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


Business English4
Introduction in Business Administration I (Creating a Business Plan)2
Introduction in Business Analytics2
Block 2: The Market
Mathematics I2
Microeconomics 4
Statistics I2
Block 3: Performance Output
Production Management3
Physical Distribution2
Mathematics II2
Credit Points per semester
2. Semester


Block 4: Marketing
Marketing & Sales6
Statistics II4
Block 5: Financial Planning I
Investment & Financing2
Cost & Performance Accounting I2
External Accounting I2
Mathematics III4
Block 6: From Theory into Practice
Academic Work & Presentation Techniques2
Project Management 2
Quality Management 2
Project Seminar I4
Credit Points per semester30
3. Semester
Block 7: Legal Basics
Public Law3
Private Economic & Commercial Law3
Data ethics & Data Protection Law4
Block 8: Information Technology
Introduction in Computer Science2
Application Oriented Data Processing 3
Introduction in E-Business2
Programming & IT-Projects3
Block 9: Company Organisation
Human Resources & Organisation4
Business Management & Planning I2
Credit Points per semester30
4. Semester
Block 10: Business Analytics in Companies
Quantitative Methods of Scientific Work2
Introduction of ERP-Systems2
Application of ERP-Systems3
Business Analytics English3
Block 11: Computer Science for Business Analytics
Software Engineering & agile Methods3
Data Engineering3
Block 12: Best Practice
Human Resources Management4
Project Seminar II6
Credit Points per semester30
5. Semester
Block 13: Technical Methods of Business Analytics
Business Analytics - Technics and Tools4
Job roles and technical Method Knowledge3
Visual Business Analytics3
Block 14: Advanced Methods Business Analytics
Quantitive Methods in Business Analytics5
Business Analytics - Using Tools in Projects5
Block 15: Application of Business Analytics
Business Analytics Project SCM5
Business Analytics Project Topic of your choice5
Credit Points per semester30
6. Semester
Block 16 - 17: Practical Experience
Block 18 - 19: Realisation
Bachelor's thesis incl. colloquium 16

Credit Points per semester


Future in the digital economy for graduates

With the Business Analytics Bachelor's degree programme, you will acquire the basics for entering a wide range of future-oriented fields of work as well as for taking up a Master's degree programme to build up further competencies and specializations.

During the Bachelor's programme, you will acquire comprehensive skills and knowledge in business analytics and business administration. This will enable you to find entry-level positions in business and consulting companies, where you will be able to support companies with digital-based problems, among other things. You can work as an IT-affine employee in specialist departments (e.g. in controlling, sales, marketing, purchasing) or as an expert for business analytics in IT departments (e.g. as a business analyst).

Graduates of the Business Analytics programme have a wide range of employment opportunities in a variety of sectors, from industry and the service sector to the financial sector.

In short: The Business Analytics programme provides you with analytical skills and knowledge for processing, analyzing and evaluating data to solve business management problems.



The application process is quick and easy – simply complete our online application:

IMPORTANT: When filling out the application in the applicant portal, please be sure to select the correct campus for your studies.

Please note: The application deadline for students who require a visa is July 15.

We look forward to welcoming you to our university next semester.

For international students with local university entrance qualification:

  • Passing entry exam with good score – admission
  • Passing entry exam – admission with additional integrated study courses

More information

Questions about the programme? Contact us.

Applicant consultancy

Junge Frau schaut in Kamera

Ramona Straten (M.A.)


Mitarbeiterin Bewerbermanagement - Standort Leverkusen
Applicant management - Location Leverkusen
Marie-Curie-Straße 11
51377 Leverkusen
Telephone + 49 (0)214 330139-22 Send an email To profile

Professional Guidance

Navneet Singh

Dozent des Fachbereichs 'Technik und Wirtschaft'

Wissenschaftlicher Mitarbeiter
Research Assistant technology and economy
Platz der Deutschen Einheit 1
59065 Hamm
Telephone +49 2381 9291-145 Send an email To profile

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