Bachelor Data Science
News | The study program | Study materials | Info & Advice | Contact persons | Student organizations | MIDS
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
![[Translate to Englisch:] test](/fileadmin/_processed_/1/7/csm_Sommerresidenz_Herbst_ef6ef8a937.jpeg)
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.
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](/fileadmin/15/Studiengang/02_Applied_Math_and_Scientific_Comuting.PNG)
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](/fileadmin/15/Studiengang/03_Business_Analytics_and_Operations.PNG)
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](/fileadmin/15/Studiengang/04_Digital_Transformation_of_Society.PNG)
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](/fileadmin/15/Studiengang/05_Enviromental_Sciences.PNG)
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](/fileadmin/15/Studiengang/06_Finance_and_Economics.PNG)
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](/fileadmin/15/Studiengang/07_Machine_Learning_and_Statistics.PNG)
Key documents
Exam regulations
Study materials
Documents
- Schedule DS 1. Semester Winter 2023/24[100 KB | PDF]
- Schedule DS 3. Semester Winter 2023/24 Main Program[99 KB | PDF]
- Schedule DS 3. Semester Winter 2023/24 Business Analytics[103 KB | PDF]
- Schedule DS 3. Semester Winter 2023/24 Digital Transformation[104 KB | PDF]
- Schedule DS 3. Semester Winter 2023/24 Enviromental Sciences[103 KB | PDF]
- Schedule DS 3. Semester Winter 2023/24 Finance Economics[102 KB | PDF]
- Schedule DS 3. Semester Winter 2023/24 Machine Learning and Statistics and Applied Mathematics and Scientific Computing[103 KB | PDF]
- Poster Data Science[3 MB | PDF]
- Flyer Data Science[2 MB | PDF]
Testimonials from our students
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.
"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."
"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."
"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."
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:
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
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.
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
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
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.
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
Monday to Thursday afternoon
Program spokesperson
Prof. Dr.
Nadja
Ray
Chairholder Geomatik and Geomathematik
Room: HS-207a
Postal Address
MIDS
Auf der Schanz 49
85049 Ingolstadt
MIDS
Auf der Schanz 49
85049 Ingolstadt
Subject Advisor
Dr.
Raphael
Schulz
Research Associate
Room: HS-210
Postal Address
MIDS
Auf der Schanz 49
85049 Ingolstadt
MIDS
Auf der Schanz 49
85049 Ingolstadt
Chairperson Audit Committee
Prof. Dr.
Marcel
Oliver
Holder of the chair of Applied Mathematics
Room: HS-207a
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
The BSc program Data Science is part of the new Mathematical Institute for Machine Learning and Data Science.
Learn more about MIDS HERE.