Data Science, Data Science and Business Analytics

Studies are designed as vocational training to become a data scientist:

• Current processes, procedures of data analysis (from the fields of machine learning / deep learning, data mining / visual analytics and text mining / web analytics) are combinedwith business application relevance (business analytics and business models in the Internet of Things).
• The programming languages Python and R, which are dominant in the data science, Data Science context, are liaised with (companies), liaise between ( students and companies), coordinate, act as intermediary.
• The focus is not only on the required, necessary technical and business skills. Rather, they receive the tools for a successful subject, department or management career.

Study program

The study program consists of:

1. compulsory courses, obligatory courses

The compulsory courses, obligatory courses include topics related to IT Security in the context of the elected special field and Interdisciplinary Competencies.

List of modules compulsory courses, obligatory courses77 KBPDF

2. caegory of compulsory options

The caegory of compulsory options includes modules from Business Information Systems, Computer Science and Business Administration. The special feature of our program for working professionals is that all modules from the caegory of compulsory optionscan be selected individually.

Module list of compulsory options83 KBPDF

3. general studies part of the degree program

4. Master's Thesis

5. the 120 CP variant also includes a Project.

Standard duration of the degree program

Standard duration of the degree program is 27 months for the 90-CP program and 36 months for the 120-CP program

Blended learning concept and lecture periods

Due to our blended learning concept, contact hours are reduced to a minimum.

• As a rule, a long weekend(Thursday - Saturday) is held in Aalen once a quarter.
• The teaching format is rounded off by supplementary distance and online formats and there are also selected meetings on online platforms (Zoom) to exchange ideas with fellow students and lecturers

In addition, every semester is divided into two terms, so there are only two modules per term at the same time

• Terms in the winter semester:
  • September 01 - November 30
  • December 01 - February 28
• Terms in the summer semester:
  • March 01 - May 31
  • June 01 - August 31

Tuition; tuition fees

• 9,240 € for the 90 CP program (27 months)
• 11,550 € for the 120 CP program (36 months)

Tuition; tuition fees are paid semester by semester in 4 or 5 equal installments (depending on the program).

In addition to these fees, a Semester Contribution of €170 is due every semester (administrative fee €80 + contribution to the Ulm student services organization (Studierendenwerk Ulm) €72 + contribution to the constituted student body €18).

Due to professional (and in some cases family) commitments, we aim to keep attendance times to a minimum. Our innovative blended learning concept allows us to reduce the amount of time students need to spend at the university without compromising on the intensity and quality of the learning process.

It is also important that your employer supports you in your endeavours. Anyone who regularly works more than 40 hours per week will quickly reach their limits. However, many companies are very flexible and offer their employees the opportunity to leave early. Your family and friends will also need to support your studies. You will have significantly less time for them than before.

If your employer is located in Baden-Württemberg and you have been working continuously for 12 months, you have the option of applying to your employer for 5 days of paid ‘Bildungszeit’ per year, which will cover a large part of the attendance requirements. Other federal states also have equivalent regulations.

Module handbook SPO 501763 KBPDF

Module handbook SPO 510850 KBPDF

Module handbook SPO 511900 KBPDF

The part-time training courses (Kontaktstudium) serves as preparation for the part-time and continuing education Master's programmes in Data Science and Business Analytics (DSB). It is aimed at those who are interested in furthering their professional education, earning ECTS credits or pursuing a Master's degree at a later date. 

Registration form Part-time Training Courses179 KBPDF

Information for Part-time Training Courses (German)187 KBPDF

Part-time Training Course regulations136 KBPDF

Registration form for Project work175 KBPDF

Request for extension of the project work processing time113 KBPDF

Project work guidelines134 KBPDF

Application for educational time288 KBPDF

Confirmation of recognition as an educational institution302 KBPDF

• Technical interest (context of computer science and AI) - You consist of; have a strong interest in data analysis (application of statistics and mathematics) and application-oriented programming as well as software tools for data processing.
• Business understanding - You have an interest in scientific questions (e.g. in Marketing or financial analysis) is crucial to put data analysis in the right context.
• Strategic thinking - You have the ability and interest to contribute to problem identification of business complexities (e.g. business process optimization) and support decision making (e.g. establishment of new business areas).
• Communication and teamwork skills - you will often work in interdisciplinary groups and have to present complex data in reports in an understandable way or present analysis results in meetings.
• Desire for practical work and innovative questions - projects, practical questions and practical collaborations are an important part of the curriculum.

• University degree qualifying to enter a profession in Computer Science, Business Information Systems, Business Administration, BA or Business Management (alternatively transfer with at least 20 CP of previous knowledge in Computer Science / Business Information Systems equivalent to a university degree, possibly through a continuing education programme for professionals)
• One year of qualified professional experience after the Undergraduate university degree
• A transfer is possible through proof of previous university-equivalent knowledge or professional experience in the field (of) computer science or Business Information Systems amounting to at least 20 CP.
• In the absence of professional experience or for the Purchasing, acquisition of prior knowledge of up to 30 CP, entry is possible via a continuing educationprogramme for professionals . Information on this can be found under Downloads and Links. If you have any questions, please contact the degree program management.

More information.].

With your newly acquired skills, you will be ideally prepared to take on outstanding subject, department and management tasks. This includes, for example, the following appointments for professors; appointment funds:

• Data Scientist
• Consultant for data analytics
• Business analyst
• Marketing Analyst
• Head /Director of System Development / Business Intelligence
• CIO
• Further development into General Management possible

As an "interpreter" with interdisciplinary training, you will be able to liaise with (companies), liaise between (students and companies), coordinate act as an intermediary between.

Yes, a semester abroad is possible. The modules taken there do not have to correspond one-to-one with the contents of the schedule of modules; it is sufficient if they passport to the broad discipline of Data Science, Data Science and Business Analytics and correspond to the Master's level. There is also the option of completing a joint degree. There are basically three options for studying abroad:

1. At a partner university of the Department of Business Information Systems
   • ESC Clermont Business School, France (possibility of a joint degree)
2. At a partner university of Aalen University of Applied Sciences
3. At a freely electedinstitution of higher education abroad.

The starting point for studying abroad is always an advisor from the International Center.