Artificial Intelligence and Data Science
University of Düsseldorf (Heinrich Heine University Düsseldorf), Germany
Bachelor of Science in Artificial Intelligence and Data Science
University of Düsseldorf (Heinrich Heine University Düsseldorf)
Artificial Intelligence and Data Science
Program Overview: Artificial Intelligence and Data Science at HHU Düsseldorf
The Artificial Intelligence and Data Science program at Heinrich Heine University Düsseldorf focuses on the theoretical foundations of AI and Data Science alongside their applications to real-world problems. Specialised lectures guide you through specific research areas such as natural language processing, computer vision, and the analysis of biological and medical data.
Central to this program are machine learning methods and their applications, with a strong focus on deep learning. You can tailor the program to your personal interests by choosing from a wide range of elective courses, allowing you to build a profile that matches your career aspirations.
As a graduate, you will have a solid understanding of the mathematical and statistical foundations of AI-related research. You will also gain an in-depth understanding of state-of-the-art algorithms and learn how to apply them to specific research problems in both academic and industry settings.
Key Program Highlights
- Strong emphasis on deep learning and machine learning methods with hands-on practical applications
- Two lab rotations (6 weeks each) in research groups or corporate R&D environments, including opportunities at the Jülich Research Centre
- Fully taught in English with an international student cohort at a tuition-free German public university
- Flexible elective system allowing you to select approximately 35 credit points of specialised courses aligned with your interests
Curriculum and Modules
The curriculum is designed to provide a comprehensive understanding of both theoretical and practical aspects of AI and Data Science. Core modules build your mathematical and computational foundations, while specialised courses and lab rotations ensure hands-on research experience.
Machine Learning
10 ECTSCovers fundamental and advanced machine learning algorithms, including supervised and unsupervised learning, model evaluation, and practical implementation of learning systems.
Deep Learning
10 ECTSFocuses on neural network architectures including convolutional networks, recurrent networks, transformers, and generative models with applications to real-world data.
Mathematical Foundations of Data Science
10 ECTSProvides the mathematical and statistical underpinnings essential for AI research, including probability theory, optimization, and linear algebra applications.
Lab Rotation I
10 ECTSA six-week practical placement in a research group at HHU, the Jülich Research Centre, or a corporate R&D environment, allowing you to apply theoretical knowledge to real projects.
Lab Rotation II
10 ECTSA second six-week practical rotation that can be completed in a different research group or combined with Lab Rotation I into a three-month internship outside HHU.
Thesis
30 ECTSAn approximately six-month research thesis carried out in a research group, ideally building on experience gained during lab rotations, co-supervised by a group member and a program lecturer.
Elective Specialisation Areas
Admission Requirements
This program has restricted admission. Prospective students must meet specific academic and language requirements. Contact Uni4Edu for guidance on your eligibility and to start your application process.
Academic Requirements
- Previous DegreeBachelor's degree in Mathematics, Computer Science, Physics, Electrical Engineering, or a related field
- Required Mathematics ModulesAnalysis I and II, Linear Algebra I, and Stochastics I or Numerics I (totalling at least 30 ECTS)
- Minimum GradeFinal Bachelor's grade between 1.0 and 2.5 on the German grading scale (use the Bavarian Formula for conversion)
- Admission TypeRestricted admission (local NC) — the examination board determines whether entrance requirements are met
- Study ModeFull-time, on-campus in Düsseldorf, Germany
Language Requirements
- TOEFLMinimum 80 points (Internet-based), 500 (Paper-based), or 200 (Computer-based)
- IELTSMinimum overall score of 6.0
- Alternative ProofCambridge B2 First Certificate, or proof of a Bachelor's/Master's degree taught entirely in English
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Heinrich Heine University Düsseldorf is a public university in North Rhine-Westphalia and does not charge tuition fees. Students pay only a semester contribution of approximately EUR 300, which covers public transport across North Rhine-Westphalia and student services. Several scholarship opportunities are available to support international students.
Deutschlandstipendium (Germany Scholarship)
EUR 300 per monthA national scholarship program co-funded by the federal government and private sponsors. HHU ranks among the top providers of this scholarship in Germany, supporting students with strong academic records and social engagement.
DAAD Scholarships for International Students
Varies by programThe German Academic Exchange Service (DAAD) offers various scholarship programs for international students pursuing degrees in Germany, covering living expenses and travel costs. Contact Uni4Edu for eligibility details.
HHU Bursary Programs
VariesHHU offers various bursary programs to cover living costs, facilitate stays abroad, or support students completing their final thesis. Contact Uni4Edu for current availability and application guidance.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
Graduates of the Artificial Intelligence and Data Science program are well-equipped for careers across the technology sector and beyond. The program prepares you to conduct research in academic or R&D environments and to apply AI and data science techniques to solve data-based IT problems in industry.
Potential Career Roles
Sectors and Potential Employers
Rankings and Recognition
Heinrich Heine University Düsseldorf is a well-established public research university founded in 1965, consistently featured among the top universities globally. HHU scores particularly highly in the Research Quality indicator, ranking in the top 10% internationally.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | University Meta Ranking | #1 in Düsseldorf |
| Research Quality | THE | Top 10% globally (#207) |
| Engineering and Technology | THE | Top 601 |
| Medicine and Health Sciences | Shiksha Popularity Ranking | #189 |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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