Overview
Artificial Intelligence (AI) and Data Science are pivotal in the rapid advancements of digitalisation and automation that are reshaping our daily lives. The Master's programme in Artificial Intelligence and Data Science at Heinrich Heine University Düsseldorf spans two years and delves into the theoretical underpinnings of these fields alongside their practical applications to real-world challenges. Students will engage with specialised lectures that navigate through various research domains, including natural language processing, computer vision, and the analysis of biological and medical data. A significant emphasis is placed on machine learning techniques and their applications, particularly focusing on deep learning methodologies.
Throughout the programme, students have the opportunity to select from a variety of elective courses, allowing them to tailor their studies to align with their personal interests and career aspirations. Graduates of the Artificial Intelligence and Data Science programme will emerge with a robust comprehension of the mathematical and statistical foundations essential for AI-related research. They will also gain insights into cutting-edge algorithms and develop an in-depth understanding of how to apply these algorithms to tackle specific research problems effectively.
Moreover, students will acquire the necessary skills to conduct research within academic or research and development environments. They will learn to identify how techniques from Artificial Intelligence and Data Science can be leveraged to offer solutions to data-centric IT challenges faced by industries today. The programme is designed not only to impart theoretical knowledge but also to ensure that students are well-prepared for the practical demands of the workforce.
Why Artificial Intelligence and Data Science at Heinrich Heine University Düsseldorf?Heinrich Heine University Düsseldorf is renowned for its strong emphasis on research and innovation within the fields of AI and Data Science. The university's strategic partnerships with leading industry players and research institutions enhance the learning experience, providing students with access to cutting-edge facilities and resources. This collaborative environment fosters a culture of inquiry and exploration, enabling students to engage directly with real-world applications of their studies.
Tuition Fee BreakdownThe tuition fees for the Master's programme in Artificial Intelligence and Data Science are structured as follows:
- International Students: EUR 0 per year
- European Students: EUR 0 per year
Additionally, there are no application fees associated with this programme, although a semester contribution of approximately EUR 300 is required. Visit the Fees and Funding section for a breakdown in your local currency.
SyllabusThe curriculum is designed to provide a comprehensive understanding of both theoretical and practical aspects of AI and Data Science. The modules include:
- Foundations of Artificial Intelligence
- Machine Learning Techniques
- Deep Learning Applications
- Natural Language Processing
- Computer Vision
- Data Analysis in Biological and Medical Contexts
- Research Methodologies in AI
This structured approach ensures that students not only learn the fundamental concepts but also gain hands-on experience in applying these techniques to real-world scenarios.
Careers with Artificial Intelligence and Data ScienceGraduates of the Master's programme in Artificial Intelligence and Data Science will find themselves well-equipped for various roles within the tech industry and beyond. Alumni have successfully secured positions in leading companies, engaging in roles such as data scientists, AI researchers, and machine learning engineers. The skills acquired during the programme prepare graduates for careers in diverse sectors, including healthcare, finance, technology, and research, where they can contribute to innovative solutions and advancements in AI and data science.
Programme Structure
Courses include:
- Methods of Artificial Intelligence in Life Science
- Causality
- Computational Linguistics
- Relational Databases and Data Analysis
- Data & Knowledge Engineering
- Markov Chains
- Neuroimaging and Precision Medicine
- Philosophy of Intelligence
- Statistical Data Analysis
- Statistical Learning
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
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Credits
Delivered
Campus Location
- Düsseldorf, Germany
Disciplines
Data Science & Big Data Artificial Intelligence View 57 other Masters in Artificial Intelligence in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
- The degree programme has restricted admission. A prerequisite for admission to the degree programme is a first university degree with the required prior education specified in the examination regulations.
- Abstract: You need a bachelor's degree in mathematics, computer science, physics, electrical engineering or a related field whose curriculum includes the modules Analysis I + II, Linear Algebra I and Stochastics I with a total score of at least 30 ECTS (at a level equivalent to the level for computer scientists at HHU). The examination board decides whether you meet the admission requirements.
- The final grade of your Bachelor's degree must be between 1.0 and 2.5 according to the German grading system. With the 'Bavarian Formula' you can convert notes into the German system.
- Not native speakers must demonstrate sufficient English language skills.
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Heinrich Heine University Düsseldorf and/or in Germany, please visit Student Insurance Portal.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree -
EU/EEA Applies to you
Applies to youEU/EEA NationalsFree
Additional Details
- At HHU, there is no tuition fee for study programmes. However, the so-called “semester fee” (approx.€ 300) is a compulsary charge all students pay each semester
Living costs
Düsseldorf
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Artificial Intelligence and Data Science.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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