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Data Science and Artificial Intelligence (AI) are very relevant fields of study due to their diverse applications and enormous potential for the future. On the one hand, Data Science enables the extraction of valuable insights and patterns from large amounts of data, which is crucial in almost every industry. Companies use Data Science to make better business decisions, optimise product developments and increase their efficiency. AI, on the other hand, enables machines and systems to be programmed to learn, adapt and perform complex tasks. This leads to innovative applications in areas such as autonomous driving, healthcare, speech processing and much more.
On the other hand, the continuous development of Data Science and AI promises many exciting career opportunities in the coming years. The demand for professionals in this field is expected to continue to grow as companies invest more in technology to remain competitive. Studying in this field offers the chance to participate in shaping the future and developing solutions to complex societal challenges, from medical diagnosis to environmental forecasting. In addition, working in Data Science and AI can also be financially very attractive, as well-trained experts are often well compensated.
Here I present all degree programmes in Data Science & AI as well as all universities with degree programmes in these fields.
Overview of all Courses
We have a total of 35 courses in the field of Data Science & AI. The first 20 top courses are displayed. Use the filter function or our search to discover more courses in the field.
Computational Business Analytics
Frankfurt School of Finance and Management
- On-campus program
- Bachelor of Science (B.Sc.)
- 7 Semester
- Frankfurt am Main
- English
- Principles of Management, Financial Accounting, Introduction to Data science, Mathematics, Analytical Thinking & Critical Reasoning, Principles of Finance, Microeconomics & Decision Theory, Statistics…
- Distance learning program
- Master of Science (M.Sc.)
- 2 Semester
- online
- English
- Machine Learning, Deep Learning, Use Case and Evaluation, Reinforcement Learning, Seminar: Current Topics in AI, Project: AI Use Case, Elective A, Master Thesis
If Machine Learning or Deep Learning are among your interests, this Master's at Germany's largest university is perfect for you. Depending on the prerequisites, the master's program takes only 2-4 semesters of full-time study or 4-8 semesters of part-time study. In the course of the master's program, you will deepen your knowledge in Computer Vision and NLP, for example.
- Distance learning program
- Bachelor of Science (B.Sc.)
- 6 Semester
- online
- English
- Introduction to Data Science, Introduction to Academic Work, Introduction to Programming with Python, Mathematics: Analysis, Collaborative Work, Statistics - Probability and Descriptive Statistics, Ob…
This English-language Bachelor's programme at IU is aimed at anyone who wants to systematically study data and artificial intelligence. You can choose between 6 semesters of full-time study or 8-12 semesters of part-time study. In the course of your studies, you will also deepen your knowledge in topics of your choice, such as Data Engineer, Data Analyst or AI Specialist.
- Distance learning program
- Master of Science (M.Sc.)
- 2 Semester
- online
- English
- Advanced Statistics, Use Case and Evaluation, Seminar: Current Topics in Data Science, Machine Learning, Deep Learning, Case Study: Model Engineering, Elective A, Master Thesis
The Master's programme in Data Science takes only 2-4 semesters in full-time study or 4-8 semesters in part-time study, depending on the prerequisites. You deal with topics such as machine learning or deep learning and delve into big data and software engineering, for example.
- Distance learning program
- Master of Science (M.Sc.)
- 2 Semester
- online
- English
- Business Intelligence I, Relational and NoSQL Databases, Data Query Languages, Project: Business Intelligence, Data Warehousing Architecture Types, Seminar: Data Warehouse Approaches and Methodologies…
The English-language Master's programme in Business Intelligence takes only 2-4 semesters in full-time study or 4-8 semesters in part-time study, depending on the prerequisites. You will deal with topics such as Data Query Languages and deepen your knowledge in Big Data Engineering or Applied Data Modelling and Reporting.
- Distance learning program
- Bachelor of Science (B.Sc.)
- 6 Semester
- online
- German or English
- Artificial Intelligence, Introduction to Academic Work, Introduction to Programming with Python, Mathematics: Analysis, Collaborative Work, Statistics - Probability and Descriptive Statistics, Object …
In the online study Applied Artificial Intelligence at Germany's largest university, you systematically deal with the use cases for artificial intelligence. In the course of your studies, you will delve into Automation and Robotics or Augmented, Mixed and Virtual Reality, for example.
- Distance learning program
- Master of Science (M.Sc.)
- 2 Semester
- online
- English
- Concepts in Data Management, Database Concepts and Technologies, Data Query Languages, NoSQL Databases, Seminar: Ethic & Societal Considerations in Data Management, Advanced Research Methods, Data Eng…
The Data Management master's program lasts only 2-4 semesters in full-time study or 4-8 semesters in part-time study, depending on the prerequisites. You will deal with topics such as Big Data Technologies or Data Warehousing and specialize, for example, as a Data Manager for Internet of Things.
Business Intelligence & Data Science
International School of Management
- On-campus program
- Master of Science (M.Sc.)
- 4 Semester
- Dortmund, Stuttgart, Munich and Hamburg
- English
- Introduction to Data Science & Business Intelligence, Database Systems & Information Integration, ERP Systems, IT-Management, Software Engineering, Programming, Linear Algebra & Numerical Mathematics,…
- Distance learning program
- Bachelor of Science (B.Sc.)
- 6 Semester
- online
- German
- Digital Skills, Introduction to Academic Work, Data Modeling and Database Systems, Mathematics Basics I, Agile Project Management, Project: Data Mart Creation in SQL, Business Administration, Basics o…
The Bachelor's program in Business Intelligence at IU is a practice-oriented education that aims to train leaders in data analysis and decision-making. Students learn the basics of data analysis and how to create and optimize data models. The focus is on using data to make effective decisions in businesses. The program offers students the opportunity to gain practical experience in using business intelligence tools and technologies and prepare for a career in the field of Business Intelligence or data analysis.
- Distance learning program
- Master of Science (M.Sc.)
- 4 Semester
- online
- German
- Agile Software Development Techniques and Methods, IT Service Management, DevOps, Advanced Research Methods, Introduction to Cloud Computing and Serverless Computing, Project: Cloud Computing, Product…
The Master's program "DevOps and Cloud Computing" at IU is a practical program that aims to prepare students for careers in the field of cloud technology and software development. Students acquire in-depth knowledge in areas such as DevOps tools and processes as well as cloud technologies like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The program also covers topics such as IT security, databases, and agile development methods to ensure that graduates are able to handle complex technical challenges in practice.
Applied Data Science & Business Analytics
International School of Management
- On-campus program
- Bachelor of Science (B.Sc.)
- 6 Semester
- Dortmund, Frankfurt, Munich, Hamburg
- English
- Business Administration (Principles of Business Economics, Financial Reporting, Managerial Accounting,Human Resources & Organization Management, Business Management), Economics (Principles of Economic…
You can study Data Science privately at these universities
In Germany, there are quite a number of private universities that offer data science & AI programmes leading to Bachelor's and Master's degrees
Here is a brief portrait of the most important private universities:
Fresenius University of Applied Sciences: The Fresenius University of Applied Sciences is one of the largest private universities of applied sciences in Germany. In winter semester 2020/2021, a total of 14,910 students were enrolled at the university. The university is headquartered in Idstein, Hesse, and also operates campuses in Cologne, Hamburg, Munich, Düsseldorf, Frankfurt, Berlin and New York. The university mainly offers degree programmes in the fields of business and natural sciences. In the field of information technology, the university currently offers, among others, a Bachelor's degree in business information technology at the Wiesbaden location as well as a Bachelor's degree in health information technology.
IU International University: With over 100,000 enrolled students, IU is the largest university in Germany. The university is based in Erfurt, but IU also offers its campus study programmes at other locations in Germany as well as via virtual campus. In addition to the campus programmes in business administration and management, among others, the university offers over 100 distance learning programmes as well as a large number of part-time and dual study programmes.
Wilhelm Büchner University of Applied Sciences: The WBH is a private, state-recognised university of applied sciences based in Darmstadt/Hesse. The university was founded as a distance learning university in 1997. In winter semester 2020/2021, a total of 5,429 students were enrolled at WBH. The university focuses on distance learning courses in the fields of technology, industrial engineering and computer science.
Wedel University of Applied Sciences: The FH Wedel is a private, state-recognised university of applied sciences located in Wedel, Schleswig-Holstein. The university was founded in 1948, and in the winter semester 2020/2021 a total of 1,339 students were enrolled at the university. The university mainly offers Bachelor's and Master's degrees in the field of information sciences. In addition to a bachelor's degree in computer science, one can also study Data Science & Artificial Intelligence at the UAS, for example.
AKAD University of Applied Sciences: The AKAD Hochschule Stuttgart is a private, state-recognised university of applied sciences based in Stuttgart. The university was founded in 1959 and focuses on distance learning and certificate courses in the fields of technology, computer science and business administration. In winter semester 2020/2021, a total of 5,532 students were enrolled at the university. In the Department of Computer Science, the university offers a range of distance learning courses, such as a B.Sc. in Computer Science and a B.Sc. in Data Science.
CODE University of Applied Sciences: CODE University is a private, state-recognised university of applied sciences based in Berlin. The university was founded in 2017, and 512 students were already enrolled in WS 2020/2021. The university offers English-language bachelor's degrees in information sciences, such as a B.Sc. in software engineering.
XU Exponential University of Applied Sciences: XU Exponential University of Applied Sciences is a private, state-recognised university of applied sciences located in Potsdam. The university was founded in 2019 and now has around 135 students enrolled. XU describes itself as "Germanys first university for digitalisation and technologic". It currently offers 4 bachelor's degree programmes, such as the Bachelor of Coding and Software Engineering and the Bachelor of Data Science.
Frankfurt School of Finance and Management: The Frankfurt School is a private, state-recognised university located in Frankfurt am Main, Hesse. The university was founded in 1990 and a total of 2,701 students were enrolled at the university in WS 2019/2020. The university is a business school and offers Bachelor's and Master's or MBA programmes in business and IT. Special feature: As a private university, the Frankfurt School of Finance and Management is eligible to award doctorates.
You can study Data Science & AI privately in these cities
If you want to study computer science at a private university in Germany, cities like Frankfurt, Hamburg and Munich are good options. Frankfurt is home to the Frankfurt School of Finance & Management, which offers an excellent computer science programme and is highly regarded by many prestigious companies in the finance and technology industries. Hamburg is home to the Hamburg School of Business Administration (HSBA), which also has a strong focus on computer science and strong ties to the regional business community.
Munich offers other highly regarded private universities with computer science programmes in the form of Munich University of Applied Sciences and Munich Business School. These cities are characterised by a vibrant business scene, which opens up numerous internship and career opportunities in the IT industry for students.
Here is an overview of the most important study cities for the field of Data Science:
| City | Livingcosts | Livingquality | Populationdensity | Universities |
|---|---|---|---|---|
| Munich | 73.06 | 181.37 | 4,736 | International School of Management |
| Hamburg | 70.79 | 176.59 | 2,455 | University of Europe for Applied Sciences, International School of Management, NORDAKADEMIE |
| Berlin | 70.58 | 160.04 | 4,127 | Fresenius University of Applied Sciences, Berlin International University of Applied Sciences, European School of Management and Technology |
| Cologne | 70.11 | 158.85 | 2,686 | Fresenius University of Applied Sciences |
| Frankfurt/Main | 69.89 | 177.85 | 3,058 | Wilhelm Büchner University of Applied Sciences, Frankfurt School of Finance and Management, International School of Management |
| Dortmund | 69.08 | 177.59 | 2,091 | International School of Management |
| Duesseldorf | 68.08 | 179.76 | 2,849 | Fresenius University of Applied Sciences |
| Heidelberg | 68.05 | 201.74 | 1,491 | SRH University of Applied Sciences Heidelberg |
| Stuttgart | 64.14 | 170.86 | 3,021 | International School of Management |
Study content: What you learn in a data science degree
A bachelor's degree programme in Data Science provides a broad range of skills and knowledge required to effectively collect, analyse and interpret data. The content of study may vary depending on the university and programme, but typical modules and topics covered in such a programme include:
- Fundamentals of Computer Science: This covers programming, data structures, algorithms and databases to provide a solid technical foundation.
- Fundamentals of Mathematics: This includes statistics, linear algebra, calculus and probability theory, as these subjects are crucial for data analysis.
- Data Management: This includes techniques for data storage, retrieval and management, as well as handling large data sets (Big Data)
- Data analysis and visualisation: Students learn to analyse data, recognise patterns and present them in an understandable way with the help of visualisations.
- Machine Learning and Artificial Intelligence: Techniques for modelling and predicting data using machine learning and artificial intelligence algorithms are taught here.
- Data Mining and Text Analysis: This covers methods for extracting information and insights from unstructured data sources such as texts.
- Ethics and Privacy: Students learn to consider ethical and privacy issues related to the use of data.
- Project work: Typically, the programme involves practical projects in which students analyse real-world data sets and develop solutions to data-related problems.
- Programming and Data Analysis Tools: The use of programming languages such as Python and specialised data analysis tools such as R or MATLAB is often taught.
- Business and domain knowledge: Some programmes also emphasise an understanding of business processes and specific domains in which data analysis is applied.
A Bachelor in Data Science is designed to prepare graduates to make data-driven decisions in a variety of industries and domains, and to play an important role in addressing complex challenges in the modern world. The exact content may vary from university to university, but these fundamental topics can be found in most data science programmes.
Here is an overview of the course contents of interesting bachelor's programmes in Data Science:
| Course | University | Course contents | |
|---|---|---|---|
| Applied Artificial Intelligence, Bachelor of Science Distance learning program | IU International University of Applied Sciences | Artificial Intelligence, Introduction to Academic Work, Introduction to Programming with Python, Mathematics: Analysis, Collaborative Work, Statistics… | |
| Business Intelligence, Bachelor of Science Distance learning program | IU International University of Applied Sciences | Digital Skills, Introduction to Academic Work, Data Modeling and Database Systems, Mathematics Basics I, Agile Project Management, Project: Data Mart … | |
| Data Science, Bachelor of Science On-campus program | XU Exponential University of Applied Sciences | ||
| Data Science, Bachelor of Science Distance learning program | IU International University of Applied Sciences | Introduction to Data Science, Introduction to Academic Work, Introduction to Programming with Python, Mathematics: Analysis, Collaborative Work, Stati… | |
| Data Science & Artificial Intelligence, Bachelor of Science On-campus program | Wedel University of Applied Sciences |
Studying Data Science in English: These degree programmes are available
Studying Data Science in English offers several advantages:
- Access to global resources: English is the dominant language in the world of science, technology and data analysis. Most relevant scientific publications, online courses, conferences and resources are available in English. Studying in this language gives you broader access to information and allows you to benefit from the latest developments and insights in the data science community.
- International career opportunities: Data Science is a globally sought-after field. By studying in English, you will be better prepared to apply internationally and work in different countries and organisations. The ability to communicate in English is an important requirement for many data science positions, especially in multinational companies, research institutions and start-ups.
- Collaboration and networking: English is the common language for international collaboration and networking. Studying in English makes it easier to communicate and collaborate with experts and peers from around the world. This promotes knowledge exchange and enables participation in international projects and research teams.
- Preparing for global data problems: Many of the data-related challenges and problems that Data Scientists solve are global in nature. By studying in English, you are better able to engage in discussions on topics such as data security, ethics in data analysis and global data standards.
Here is an overview of all English-language courses in the field of Data Science at private universities:
Study Advice
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