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Bachelor Data Science

Data Science Students + Spike

Are you interested in Data Science? There are still places available!

Attention: There are still places available for German or EU citizens.
If you’re interested, please contact wfi-studierendenbuero(at)ku.de

News

Gruppenfoto Interpore Teilnehmer

German Chapter of the InterPore

This year the meeting of the German Chapter of the InterPore was held at KU Eichstätt-Ingolstadt on September 13-14, 2023. The meeting was organized…

[Translate to Englisch:] test

GAMM PDE 2023 at KU

This year's annual workshop of the GAMM Activity Group "Analysis of Partial Differential Equations" takes place at the Eichstätt campus of KU…

The study program

The new Data Science program teaches the fundamentals of machine learning and other current methods for data analysis, as well as the ability to efficiently implement these methods using modern software technologies.

The necessary knowledge from the fields of study mathematics, statistics, computer science and data science is taught.

As the program progresses, you can select one of six specializations to specifically study the application area that fits your career goals.

Studienverlaufsplan Data Science
Possible specializations and there study plans

Applied Mathematics and Scientific Computing

"Applied Mathematics and Scientific Computing" provides students with a deeper insight into the mathematical foundations of Data Science. The focus of the specialization is on mathematical model building on the one hand, and on the other hand the transition from continuous to discrete and thus practically implementable models.

[Translate to Englisch:] Applied Mathematics and Scientific Computing

Business Analytics and Operations

"Business Analytics and Operations" builds the bridge to economics. In addition to basic knowledge of business administration, e.g. accounting, the focus of this specialization is on data-driven of this specialization is on data-driven approaches to business, organizational and technical problems.

[Translate to Englisch:] Business Analytics and Operations

Digital Transformation of Society

"Digital Transformation of Society" considers applications of Data Science in the social and human sciences. In addition to basic knowledge, students gain insights into the role of empirical methods, e.g. in sociology and journalism. Substantive knowledge of Data Science methods coupled with insights into the social sciences and humanities will enable students to critically engage with the ongoing digital transformation of society.

[Translate to Englisch:] Digital Transformation of Society

Environmental Sciences

"Environmental Sciences" provides students with an insight into data-based environmental and earth sciences. A central aspect is the fitting of models for dynamic (time-varying) processes such as weather and climate to measured data, which are often only available inaccurately and incompletely.

[Translate to Englisch:] Environmental Sciences

Finance and Economics

„Finance and Economics“ sheds light on macroeconomic relationships, global markets, and financial instruments. These areas are heavily influenced by data-based methods. The specialization expands the students' methodological competence with knowledge of area-specific model building and subject systematics.

[Translate to Englisch:] Finance and Economics

Machine Learning and Statistics

"Machine Learning and Statistics" allows students to deepen their understanding of statistical methods and introduces advanced and research aspects of statistical and machine learning techniques.

[Translate to Englisch:] Machine Learning and Statistics

Key documents

Study materials

Documents

Testimonials from our students
Portrait Jan Stüwe

I like the international atmosphere of the program, which brings together students from all over the world. No one has to worry that they won't be able to keep up with the English courses. On the contrary, the common language makes it easier to communicate, and you improve your language skills along the way.

I like the international atmosphere of the program, which brings together students from all over the world. No one has to worry that they won't be able to keep up with the English courses. On the contrary, the common language makes it easier to communicate, and you improve your language skills along the way.

- Jan Stüwe(Student Council Data Science)

"The Data Science program inspires us to think exploratorily, confidently build logical chains and solve non-trivial problems. Professors are sincerely interested in ensuring that each student is interested and able to master complex material, regardless of the level of knowledge already gained. Already after two…

"The Data Science program inspires us to think exploratorily, confidently build logical chains and solve non-trivial problems. Professors are sincerely interested in ensuring that each student is interested and able to master complex material, regardless of the level of knowledge already gained. Already after two semesters in this progressive program, I can confidently say that I have accumulated tons of skills essential to be a true Data Science professional."

- Alena Semkiv

"I really like that the professors in the DS program are genuinely passionate about teaching and enjoy helping students understand concepts. They are easily accessible, providing valuable guidance and support through various means such as Zoom, Email, or personal appointments. As a recent school graduate, their…

"I really like that the professors in the DS program are genuinely passionate about teaching and enjoy helping students understand concepts. They are easily accessible, providing valuable guidance and support through various means such as Zoom, Email, or personal appointments. As a recent school graduate, their assistance has greatly enhanced my learning experience. The Data science program by itself is well structured with subjects well distributed across semesters so as to allow students for deeper understanding of topics."

- Aditi Bhushan

"I like that the order of the content is carefully designed, not only within a single course, but also in the interconnection parts among different courses. Although the mathematics courses can be demanding, they aid in understanding the content of the specialist courses. I also like the passions from Professors. They…

"I like that the order of the content is carefully designed, not only within a single course, but also in the interconnection parts among different courses. Although the mathematics courses can be demanding, they aid in understanding the content of the specialist courses. I also like the passions from Professors. They are eager to help us, encourage us to try new technologies, rather than merely showing up and presenting outdated slides."

- Shizhen Li

Info & Advice

Information about internship

In addition to courses, the program includes an industrial internship or a research internship at the Mathematical Institute for Machine Learning and Data Science or in other departments at the KU or other universities.

Industrial partners of the Data Science BSc program are:

Student advising

You are welcome to contact the professors involved in the program directly:

Prof. Pfander
Chair of Scientific Computing Prof. Dr. Götz Pfander
Prof. Voigtlaender
Chair of Reliable Machine Learning Prof. Dr. Felix Voigtlaender
Prof. Oliver
Chair of Applied Mathematics Prof. Dr. Marcel Oliver
Prof. Ray
Chair of Geomatics and Geomathematics Prof. Dr. Nadja Ray
Prof Janjic
Heisenberg Professorship for Data Assimilation Prof. Dr. Tijana Janjic
Prof. Kreisbeck
Chair of Mathematics - Analysis Prof. Dr. Carolin Kreisbeck
Prof. Stöger
Junior professorship for Data Science Junior Prof. Dr. Dominik Stöger
Prof. Krebs
Chair of Statistics Prof. Dr. Johannes Krebs
Prof. Setzer
Chair for Business Administration and Business Informatics Prof. Dr. Thomas Setzer

Contact persons

Examinations Office

Christina Jadgarow
Administrator at the examinations office
Building Hauptbau | Room: HB-010a
Postal Address
Katholische Universität Eichstätt-Ingolstadt
Prüfungsamt Ingolstadt
Auf der Schanz 49
85049 Ingolstadt
Office hours
By appointment:
Monday, Tuesday, Friday 8.30 am – 11.30 am

Open consultation hours:
Thursday 8.30 am – 11.30 am

The absences of our Examinations Office administrators can be checked in the student portal.
Working Hours
Monday to Friday morning
Armelle Langenwald
Administrator at the examinations office
Building Hauptbau | Room: HB-010a
Postal Address
Katholische Universität Eichstätt-Ingolstadt
Prüfungsamt Ingolstadt
Auf der Schanz 49
85049 Ingolstadt
Office hours
By appointment:
Thursday 1.30 pm – 3.30 pm

Open consultation hours:
Tuesday 1.30 pm – 3.30 pm

The absences of our Examinations Office administrators can be checked in the student portal.
Working Hours
Monday to Thursday afternoon

Program spokesperson

Nadja Ray
Prof. Dr. Nadja Ray
Chairholder Geomatik and Geomathematik
Room: HS-207a
Postal Address
MIDS
Auf der Schanz 49
85049 Ingolstadt

Subject Advisor

Raphael Schulz
Dr. Raphael Schulz
Research Associate
Room: HS-210
Postal Address
MIDS
Auf der Schanz 49
85049 Ingolstadt

Chairperson Audit Committee

Marcel Oliver
Prof. Dr. Marcel Oliver
Holder of the chair of Applied Mathematics

Student organizations

Student Council/Student Representation

The Data Science student council has been newly founded. You will receive more information shortly.

You can already reach the student council via fg-data-science(at)ku.de

Mathematical Institute for Machine Learning and Data Science

Logo MIDS

The BSc program Data Science is part of the new Mathematical Institute for Machine Learning and Data Science.
Learn more about MIDS HERE.