Data Science

Degree
Bachelor of Science
Requirements
General university entrance qualification (Allgemeine Hochschulreife)
or subject-specific university entrance qualification/economics or technical branch
Language requirements
English & after the first year German A2
Admission restriction
Yes
Selection procedure
No
Application period winter
May 01 - Jul 15
Place of study
Ingolstadt
Start of the program
Winter semester
Standard length of the program
6 Semester
Semester fee
56,00 Euro
Part-time studies possible
No

Artificial intelligence and machine learning are the topics of the future. The driving forces behind them are mathematical calculations and statistical methods whose potential is far from exhausted, because data is nowadays available in large quantities and in virtually every area of life. The series suggestions on your Netflix watchlist? The weather forecast for the next 10 days? The image recognition on your smartphone? All of this is based on the structured analysis of data and the targeted training of neuronal networks.

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. Thanks to the english-language orientation of our degree program and the international contacts you can make at KU, you will be well prepared for the international job market!

Mensch und Künstliche Intelligenz

Application period

Application period for the winter semester: 1 May until 15 July 2022
Late application window: 1 August until 15 August 2022
International applicants are encouraged to submit their application documents no later than 15 June 2022.
Admission notifications will be emailed to successful applicants shortly after 15 July or 15 August.

The program in detail

Summary

What Profile should I have?

[Translate to Englisch:] KU Student
  • Good acquaintance with mathematics
  • Analytical thinking
  • Passion for understanding complex problems and desire to develop technical solutions for them
  • General university entrance qualification
  • English language skills
    for international students: German A2 after 1st year of study

Career opportunities

[Translate to Englisch:] Student Roboter

The future is taught here!
We offer an innovative and modern degree program. Data Scientists are urgently needed due to the immensely growing amounts of data, especially in industry. During your studies you can already choose a specialization, e.g. in the fields of business analytic, digital transformation of society, environmental sciences or finance and economics.

Thanks to the English-language orientation of our degree program, you will be ready for the international job market!

Why study Data Science at KU?

[Translate to Englisch:] Studis Laptop oben
  • Forward looking field of study
  • Established and modern learning concepts
  • Excellent ratio of faculty to students thanks to small groups 
  • Preparation for the international job market thanks to english-language orientation and international contacts
  • Discussion of ethical issues regarding the handling of data
  • Gaining experience with well-known industry partners
  • Living and studying at Germany's most popular university

Contents

In addition to learning the fundamentals of 

  • Data Science and Machine Learning, 

students will build a firm foundation in the areas of 

  • Mathematics, 
  • Statistics, and 
  • Computer science.  

Thus, students are offered an interdisciplinary perspective on data science, which is augmented by a variety of application areas available through the following specializations:

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.

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.

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.

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.

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.

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.

Teaching

The goal of the program is to educate the next generation of researchers and practitioners of data science, such as data scientists, data analysts, data engineers, or data strategists. In pursuit of this goal, teaching will rely on a combination of established and modern techniques, such as combining lectures with practical exercises and working in small groups on projects that utilize real-world data sets. 

Given the roster of prominent instructors, the broad education provided in the program will enable successful graduates to work in various industrial and business sectors and startups, as well as in public, non-profit, and non-governmental organizations. Students interested in pursuing further academic education will find themselves excellently prepared for world-class graduate schools in mathematical and technical fields.  

Since courses are taught in English, graduates will be excellently prepared for the increasingly internationally oriented data science job market. The subject vocabulary is introduced in the courses and thus does not pose a challenge to the students.

Structure

The standard period of study is six semesters. A total of 180 ECTS credits are to be acquired, which are essentially divided into a required, specialization/focus area and elective area. In addition, there is a Bachelor's seminar and the Bachelor's thesis.

Required area

In the required part of the program, fundamental knowledge and basic practical skills in Data Science are taught. The compulsory area consists of modules in the core fields of Data Science, Mathematics, Statistics and Computer Science. In addition, the module "Ethics of Algorithms and Data" is mandatory.

  • Data Science: Data Lab, Ethics of Algorithms and Data, Foundations of Data Science, Foundations of Machine Learning, Hands-on Machine Learning and Data Science, Practical Training
  • Mathematics: Analysis for Data Science 1, Analysis for Data Science 2, Linear Algebra 1, Linear Algebra 2  and Analytic Geometry, Optimization in Data Science
  • Statistics: Introduction to Statistics, Introduction to Stochastics, Statistical Learning
  • Computer science: Introduction to Programming, Advanced Programming, Algorithms and Data Structures, Basics of Information Systems

The Data Science program at the KU is distinguished by the fact that, with the exception of the foundational courses in Linear Algebra, Statistics, and Stochastics, all of the required courses have been developed specifically for this program.

Specialization

The offer of specializations gives students the opportunity to further their education in an area of their interest. The selected specialization deepens competencies in a core area of Data Science or imparts competencies in one of its application areas. The selected specialization is identified on the bachelor's degree certificate.

The following specializations are usually offered:

  • Applied Mathematics and Scientific Computing
  • Business Analytics and Operations
  • Digital Transformation of Society
  • Environmental Sciences
  • Finance and Economics
  • Machine Learning and Statistics

Required elective area

The required elective area serves to expand the range of studies and to acquire competencies that go beyond or complement the basic studies. All modules that can be credited to a specialization are also part of the required elective area. They are supplemented by additional modules.

Students also choose a required module from the inter-university offer Studium.Pro. Here, KU students engage in cross-disciplinary and interdisciplinary work primarily on socially relevant issues. This experience can provide essential impulses for subject-related work.

Required 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.

With respect to industrial internships, we cooperate with:

Semester Overview

Rankings and assessments

The KU is the most popular university in 2022

KU students and alumni have voted for their University to be Germany's most popular university in the 2022 ranking of the online portal StudyCheck. This is the second time in a row, as KU was also voted the most popular university in 2021. The ranking was based on over 70,000 evaluations for more than 500 higher education institutions and universities. 97 percent of students questioned for the ranking would recommend studying at the KU to others.

"There is no better praise for a university than almost 100 percent of students and alumni agreeing: I can only recommend studying at the KU! That is why we are very pleased with the ranking’s outcome, because it expresses the high level of satisfaction of our students," says KU President Prof. Dr. Gabriele Gien.

More ranking results

Internationalization and studying abroad

Machine learning and mathematical methods are not influenced by national borders - therefore the international context is very present in the study program.

The degree program is offered in English and thus creates ideal conditions for a career in internationally operating companies.

It is possible to spend a semester abroad, preferably in the 5th semester. Here, students benefit from KU's worldwide network: the University maintains partnerships with more than 300 universities around the globe. Whether North America or Asia, Australia, South America or Europe - the right program can be found. The KU's International Office provides support with planning and organization.

Practical connection

Besides lectures, exercise groups and computer labs, practical studies are a mandatory part of this data science program.  This can be carried out in industry, in the Mathematical Institute for Machine Learning and Data Science, or within any other research group of KU Eichstätt-Ingolstadt or any other university.

Career possibilities and professional fields

Data Science is of fundamental importance for the artificial intelligence revolution bound to take place in the next decades: The environment and industry will be increasingly permeated with networked information systems and data-collection devices. 

While modern hardware already allows the collection of massive data sets, the development of tools and algorithms that can utilize such a wealth of data for extracting relevant patterns and information is still in its infancy. 

Addressing this challenge requires well-trained data scientists proficient with novel technologies and techniques working in industry, business, start-ups, and the public sector. The most sought-after graduates are those who have simultaneously strong analytical and implementation skills, while also being aware of the responsibility in processing sensitive data, in particular regarding the impartiality and objectivity of algorithms. 

Occupational fields for graduates of all profiles in the program include: 

  • Managerial and implementational positions in Data Science and Information Technology in national and international companies and organizations, 
  • Cross-sectional tasks in the field of machine learning, data analysis and forecasting, 
  • Consulting activities in the aforementioned areas, 
  • Academia (in particular related to mathematics, statistics, and data science).  

Specialization-dependent occupational fields include the following: 

Applied Mathematics and Scientific Computing

  • Research and development in technical industries, 
  • Development of algorithms and software in companies and organizations, 
  • Research and teaching in educational institutions (e.g., schools and universities), 
  • Data science consultant; 

Machine Learning and Statistics

  • Expert for data collection, analysis, interpretation and forecasting, 
  • Analyst or risk assessment analyst in financial departments of companies, public institutions, ministries and international organizations; 

Environmental Science

  • Data scientist in research institutes such as the German Aerospace Center and the Alfred Wegener Institute for Polar and Marine Research, 
  • Data scientist working for scientific services such as the German Weather Service and the Federal Maritime and Hydrological Agency, 
  • Adviser for governments and non-governmental organizations such as the Ministry of the Environment and Greenpeace;   

Business Analytics and Operations

  • Consultant for strategic planning and corporate development, especially with a focus on digital transformation processes of companies,  
  • Supply chain manager focusing on data-based optimization and decision support in procurement, production, distribution, and logistics, 
  • Process architect for the design, control and coordination of internal and cross-company flows of goods and information. 

Finance and Economics

  • Financial advisor and analyst in finance departments of companies and organizations in the public sector, 
  • Manager in politics, business and public administration.

Digital Transformation of Society

  • Data analyst in market and opinion research, 
  • Statistician or data analyst for media companies, 
  • Consultant for political parties, organizations and associations. 

The KU

Campus

Short distances on campus at the KU save time and avoid stress. The campus in Ingolstadt consists of the Main Building and the New Building, separated by a peaceful courtyard. The ample green spaces on the Ingolstadt campus invite students to enjoy their surroundings outside during lecture breaks and meet fellow students. If you prefer to spend your breaks in town running errands, Ingolstadt’s city center is just a few minutes’ walk away. Other buildings are the Studierendenhaus and the Hohe Schule that was home to the first Bavarian state university in the 15th century.

[Translate to Englisch:] Studierende Ingolstadt

What sets the KU apart

Studying at the KU is more than just acquiring specialist knowledge. We broaden our horizons together and take on responsibility in and beyond the individual degree programs. The KU has a particular focus on topics such as personal development, sustainability, social skills and social commitment.

It offers its students the possibility to study and work in a welcoming atmosphere and benefit from outstanding support and comprehensive service offers, a well-stocked library, a broad range of sports and leisure activities and a large global network with over 260 partner universities.

Do I have to be Catholic in order to study at the KU? Do I have to deal with Catholic contents during my studies?

No, the KU is open to students of all faiths and beliefs.

At the KU, just as at all state universities, there is freedom of research and teaching. This means that our degree programs focus on the subjects for which you have enrolled – free from external influences.

As a student at our University, you will notice what our understanding of being a Catholic University means for us in one thing in particular: The University’s focus is on the individual person. The talents and potential of all those who teach, study, work and carry out research at the KU form our most important foundation – regardless of their religion or beliefs, nationality, ethical, cultural or social background, disabilities, gender, sexual orientation or age.

This is why we promote your best possible academic education through personal support and an ideal staff-to-student ratio. At the same time, the KU is more than just a place for earning your degree: We attach particular importance to imparting social skills and advancing our students’ sense and value orientation in addition to providing them with a high level of academic and methodical qualification.

Our aspiration for our University is to build bridges between science and society and to make knowledge available for society as well as to integrate impulses from outside the University into our research and teaching practice. We aim to make a valuable contribution to social coexistence, to the free democratic basic order and to preserving creation. 

Is Ingolstadt a real university town?

Strictly speaking, Ingolstadt is even THE university town in Bavaria - because the first Bavarian university was located here! However, the Bavarian State University, founded in 1472, moved to Landshut in 1802 and has been located in Munich since 1810 as Ludwig Maximilian University. The history as a university town continued 188 years later: In 1989/90, the Faculty of Economics of the Catholic University opened in Ingolstadt.

With about 135,000 inhabitants, Ingolstadt is a lively and dynamic large city. The theater, the AUDI summer concerts, the jazz days and the Museum of Concrete Art are just a few of the cultural highlights. In a historical setting, a large number of restaurants, clubs and pubs invite you to unwind after lectures and seminars - often just a few steps away from the campus. The day can also be spent relaxing on the Danube beach or at the lake - with a cocktail in hand and your feet in the sand. And of course there's something else that's not missing in an Upper Bavarian city: beer gardens for a "Brezel" and a beer or two.

The location

Ingolstadt is the second largest city in Upper Bavaria after Munich and is only a 30-minute drive away from the state capital. Located in the heart of the Altmühl valley and the largest hop-growing area in the world - the Hallertau - Ingolstadt has a broad cultural offer.

There are regular classical concerts in the AUDI forum, many different student events, and the Volksfeste, beer festivals that are typical for Bavaria (small Oktoberfest Wiesn festivals). Ingolstadt has many restaurants, bars, beer gardens and clubs that are all located in the historical, picturesque old town and are perfect for enjoying a beer or two with friends after the lectures. Last but not least, Munich with its vast cultural offer is just around the corner.

Together with the district of Eichstätt, the Ingolstadt region has the lowest unemployment rate in Germany. This is partly owing to the fact that many well-known large companies such as EADS, AUDI, EDEKA, Media-Markt Saturn or Hipp have their headquarters in the Ingolstadt region.

More on Ingolstadt as a study location

Advisory Service

Some offers and study conditions are different for international students – our International Office is happy to provide help and support. If you have any questions, please feel free to contact our team. We are happy to accompany you on your way to the KU and hope that we can welcome you in person soon!

David Guevara
David Guevara
Coordinator Welcome Services and International Campus
Building Domplatz 8  |  Room: DP8-203 | Campus Eichstätt

Subject Advisor

Götz Pfander
Prof. Dr. Götz Pfander
Holder of the Chair Mathematics - Scientific Computing | Speaker of the Mathematical Institute for Machine Learning and Data Science | Vice Dean
Room: KGB-110

Application

The application process for international applicants is now completely digital. You can register online in our application portal and carry out and submit your application. After you have carried out the application and uploaded your documents, you do not need to send your documents to us again by post. You do have to submit certified true copies only if you are admitted at the time of enrollment.

Depending on the course of study, you may be asked for information on internships, professional experience, etc. Please upload the relevant documents in the upload area for all the information you provide, even if these are not mandatory fields!

Before you start the application process, please read the additional information on this page, in particular the information on the respective (German) language requirements and university entrance qualifications.

Study places

Total of available study places for the Bachelor's degree program in Data Science:

arrow right iconWinter semester: 60
 

Please note, that the selection process is highly competitive.

Further information