Your path to the distance learning programme Applied Artificial Intelligence – Who is the course aimed at?

With your degree in Applied Artificial Intelligence, you can work, for example, as a developer for autonomous vehicles, as a developer for Smart Factory, or as a developer for Augmented Reality.

The bachelor's distance learning programme in Applied Artificial Intelligence at the IU International University is aimed at all those who want to learn modern AI methods in a practical way and apply them in various industries such as IT, industry, robotics, automation, or data science. The target group includes particularly technology-savvy individuals with an interest in mathematics, statistics, and programming. Whether beginners aiming for a future-proof academic degree, professionals looking to further qualify, or career changers with a technical background: the flexible study programme, which can be completed independently of location and time, offers the right framework for individuals who want to advance their careers specifically in the field of artificial intelligence and digitalization.

Admission Requirements

A levels (Abitur), advanced technical college certificate (Fachhochschulreife), or subject-specific higher education entrance qualification (fachgebundene Hochschulreife): Direct enrollment is possible with one of these academic qualifications.

Study without A levels:

• Possible with a successfully completed advanced training course, e.g. as a master craftsman, technician, or business administrator (IHK).
• Alternatively: Completion of at least a two-year recognized vocational training plus at least three years of full-time work experience. If the vocational training was not completed in the direct AI field, a trial study is planned.
• For foreign qualifications, an equivalency evaluation (according to Anabin) is carried out.

Language skills:

• For the German-language study programme: Proof of German proficiency for foreign applicants (e.g. TestDaF min. 3 points, DSH-1, Telc Deutsch B2, ÖSD B2).
• For the English-language study programme: Proof of English proficiency through a recognized language certificate (e.g. TOEFL from 80 points, IELTS from Level 6, Duolingo from 105 points, Cambridge Certificate Grade B) or a free preparatory course at IU.

No numerus clausus (NC): There are no admission restrictions based on academic performance.

Trial month: The distance learning programme can be tested free of charge for one month.

Another special feature: Previously completed training and further education courses can be recognized as pre-achievements under certain conditions, reducing study time and costs.

These personal requirements can promote study success

• Strong interest in technology, mathematics, and programming: Core areas of study include working with mathematical methods, Python programming, and AI algorithms.
• Self-motivation and self-organization: Since the study is 100% flexible and self-directed, individuals with good time management skills benefit in particular.
• Critical thinking and analytical skills: Many contents in the field of AI, statistics, and machine learning require the ability to understand and apply complex relationships practically.
• Openness to digital tools and readiness for innovation: The distance learning programme extensively relies on digital learning platforms, AI-supported tools (such as Syntea), and virtual events.
• Teamwork skills and willingness to communicate: Collaborative work, interdisciplinary projects, and discussions on ethical issues are part of the curriculum.

The course is therefore ideally suited for individuals who want to complete a practice-oriented, future-proof study programme in the rapidly growing field of applied artificial intelligence either part-time or full-time – regardless of their previous career path, but with clear goals in the areas of data science, automation, digital transformation, or AI development.

What to expect in the Bachelor of Applied Artificial Intelligence?

The distance learning course "Applied Artificial Intelligence" at IU International University systematically imparts the necessary expertise to work as an AI expert. The focus of the course is on a combination of mathematical-statistical basics, applied programming, and in-depth knowledge of Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, and Robotics.

• Mathematics & Statistics Fundamentals: You build skills in Analysis, linear Algebra, and Statistics (descriptive and inferential) – essential for understanding artificial intelligence.
• Programming: The practical introduction to Python forms the basis and is complemented by advanced modules (object-oriented, functional programming).
• Machine Learning & Deep Learning: You learn methods for supervised and unsupervised learning, Feature Engineering, neural networks, Deep Learning, and Reinforcement Learning.
• Language and Image Processing: You gain insight into methods of Computer Vision and Natural Language Processing and can apply them in practical projects.
• Software Engineering & Cloud Computing: Through modules on Software Development (Data Science Engineering, Cloud Programming), you prepare for the transfer of AI models to real-world applications.
• Practical Application and Ethics: Projects on Edge AI, UX development, and ethical issues in Data Science are central. The offer is supplemented with topics such as data protection, IT security, and agile project management.
• Elective Modules & Specializations: You can choose from areas such as Robotics/Automation, Autonomous Driving, Business Intelligence, Data Engineering, Augmented and Virtual Reality to focus on three specialized modules.

In addition to the purely technical education, great importance is placed on methodological and social skills (e.g. intercultural and ethical skills, collaborative work). In addition, the teaching of future technologies, infrastructure, UI/UX, and application ethics is emphasized.

Study Structure and Design of the Distance Learning Course

The study is completely online and is based on a modular, flexible system that can be easily adapted to your professional life. Study either full-time in 6 semesters or opt for part-time models (8 or 12 semesters). The start is possible at any time – there are no fixed semester dates.

• Study Organization: The online campus "myCampus" and the IU Learn app provide you with all documents digitally: scripts (Interactive Books), videos, quiz questions, podcasts, and access to a large online library. You can also receive the documents as print scripts.
• Examinations: You can take module exams flexibly either as an online exam (24/7) or at an examination centre. In addition, there are term papers, projects, seminar papers, and oral exams via video conference.
• Virtual Interactivity: Regular live lectures and tutorials ensure exchange with lecturers and fellow students.
• Practical Projects: In several modules, you work practically on current AI tasks, e.g. in Computer Vision, NLP, or UX projects, as well as in the final transfer project "From Model to Product Sales".
• Individual Support: Study coaches, tutors, and professors accompany you. Via the learning AI Syntea, you can receive automated answers to content-related or organizational questions at any time.
• Freely Selectable Pace: You can freely change the time model and have the option to extend your standard study time free of charge if you need more time.

Building on the clearly structured module plan, you decide which specialization module you want to take to specialize in Robotics, Data Analytics, VR/XR & Co. The course is continuously accredited.

Career Perspectives and Job Opportunities in the AI Field

As a graduate, you will find outstanding career prospects across industries. The acquired skills enable you to enter numerous innovative fields of work:

• AI Development & Data Science: Development, training, and implementation of AI algorithms in companies from various industries. Classic positions would be AI Developer, Data Scientist, Machine Learning Engineer, AI Application Specialist.
• Robotics & Automation: Development of robotics systems, automation solutions, or autonomous driving systems, e.g. as Robotics Developer or Software Engineer for autonomous vehicles.
• XR & User Experience: Specialist for applications that combine artificial intelligence with Virtual, Augmented, or Mixed Reality, e.g. in medical technology, entertainment, product design.
• Ethics and Consulting: Consulting on responsible development of AI systems (e.g. as AI Ethics Advisor) or interface function between IT and Management.
• Data Analysis, Cloud, and Software Projects: Activities as Data Engineer, Data Analyst, Business Intelligence Specialist, or Software Developer for AI and Cloud-based systems.

Depending on the chosen specialization, positions in Research & Development, Consulting, Industrial IoT, Mobility Industry, or Digital Marketing are also possible. The Bachelor's program forms the basis for further Master's studies or direct entry into the AI job market.

Costs and Financing of the Bachelor's Program in Applied Artificial Intelligence

The tuition fees depend on the chosen time model:

• Full-time (36 months): approx. €399 per month, total cost approx. €15,063
• Part-time I (48 months): approx. €344 per month, total cost approx. €17,211
• Part-time II (72 months): approx. €259 per month, total cost approx. €19,347
• The total costs include the one-time degree fee upon completion (about €699).

The price includes all digital learning materials, use of the learning app, tutorials, and access to the online campus. Printed scripts can be requested free of charge on request.

• Financing Options: IU regularly offers discounts, and you can benefit from funding such as BAföG, scholarships, education funds, or student loans. Many students deduct tuition fees from their taxes.
• Trial Month: Upon enrollment, you have a one-month trial period without risk.
• Recognition of Previous Achievements: Previous achievements (e.g. education, study, work experience) can be checked and recognized – this way, you save fees and time per recognized ECTS point.

During your distance learning course, you are maximally flexible: you can change the model at any time, extend it free of charge, and adapt the study organization to your personal life situation.