3 Years On Campus Bachelors Program
### Program Overview
The BSc Computer Science with Applied AI at IU International University of Applied Sciences' Berlin Campus equips you with cutting-edge skills in AI technologies like machine learning and neural networks, blending in-person lectures in an international environment with practical projects to build real-world solutions. It's perfect for tech enthusiasts eager to launch high-demand careers in AI, offering a 36-month English-taught program (180 ECTS) starting in April or October, with no application fees and an 18-month post-study work visa opportunity in Germany.
### Curriculum Structure
Year 1: Building Your Foundations
You'll kick off with core essentials like Introduction to Computer Science, Introduction to Programming with Python, and Mathematics: Analysis, diving into algorithmic thinking, basic coding, and analytical math to solve real problems from day one. Hands-on projects such as Project: Programming with Python let you create automation scripts or simple chatbots, while modules like Software Engineering Principles and Statistics: Probability and Descriptive Statistics build your problem-solving toolkit for AI applications. This year sets a strong base, blending theory with practical coding in Python to get you confident and ready for advanced tech.
Year 2: Diving into Systems and Data
Midway through, you'll tackle Algorithms, Data Structures, and Programming Languages, Database Modeling and Database Systems, and Computer Architecture and Operating Systems, learning to optimize code, manage data efficiently, and understand how computers really work under the hood. Projects like Project: Build a Data Mart in SQL and Project: Object Oriented and Functional Programming in Python have you building databases and scalable apps, with Web Application Development adding front-end skills for full-stack AI tools. It's all about turning data into intelligent insights, preparing you for the AI boom.
Year 3: Specializing and Launching Your Career
Your final year ramps up with AI-focused depth through Theoretical Computer Science and Mathematical Logic, Cryptography, and IT Service Management, plus a Seminar: Current Topics in Computer Science to explore cutting-edge trends like intelligent systems. Culminate in an Internship: Computer Science & Business Information Systems, Project: Software Engineering, and your Bachelor's Thesis with Colloquium, applying everything to industry projects that showcase your AI expertise to employers. You'll graduate with a portfolio that screams "hire me" in Germany's tech scene.
### Focus Areas
Master the latest in machine learning, neural networks, and intelligent systems, while developing practical AI solutions through real-world projects and specialisation modules tailored for data-driven tech careers.
### Learning Outcomes
Gain in-demand skills to design scalable AI solutions, from Python programming and data structures to ethical decision-making and building data marts—plus hands-on experience with algorithms, databases, and emerging AI tech that employers crave.
### Professional Alignment (Accreditation)
Your degree is fully accredited in Germany and recognized worldwide, ensuring it's valued by employers and aligns with EU standards for computer science and AI roles, complete with internship opportunities and post-grad work visa support.
### Reputation (Employability Rankings)
IU stands out for career-focused programs, with graduates landing roles in high-growth fields like AI thanks to practical training and industry partnerships—backed by official stats showing strong employability in Germany's tech hub, plus access to 18-month job search visas.
Ready to take the next step? Apply now at [BSc Computer Science with Applied AI](https://www.iu.org/bachelors/computer-science-on-campus/applied-ai-specialisation/)
At IU International University of Applied Sciences' Berlin Campus, our BSc Computer Science with Applied AI program dives deep into hands-on learning right from the start, so you're not just studying theory—you're building real-world AI skills through in-person lectures at our modern campus, combined with self-study using top digital tools. You'll master cutting-edge tech like machine learning, neural networks, supervised and unsupervised learning techniques, deep learning models, and even Edge AI projects on resource-constrained devices, all designed to get you ready for high-demand jobs in AI engineering.
This practical focus shines through our project-based modules and facilities tailored for tech innovation:
- Project-based experience: Tackle real-world challenges in modules like Project: Programming with Python, Project: Object Oriented and Functional Programming in Python, Project: Build a Data Mart in SQL, Project: Software Engineering, and Project: IT Service Management, where you'll code AI solutions, develop apps, and engineer systems collaboratively.
- Specific software and tools: Gain expertise with Python for programming (core in multiple projects and modules), SQL for database modeling and data marts, plus tools for machine learning, neural networks, deep learning, and Edge AI applications on devices—supplemented by our digital self-study platform.
- Group projects and collaboration: Work in teams on Collaborative Work and seminar-style modules like Seminar: Current Topics in Computer Science, building skills in intercultural teamwork and ethical AI decision-making.
- Internships: Complete a dedicated Internship: Computer Science & Business Information Systems to apply your AI knowledge in professional settings, bridging classroom learning to industry roles.
- Campus facilities: Access our international Berlin Campus (alongside Cologne) for face-to-face teaching by experienced professors, with digital tools enhancing every step—from lectures to self-paced practice in AI and data systems.
This setup means you'll graduate with a portfolio of AI projects that employers love. Ready to take the next step? Applying is straightforward—check out the full program details and facilities here: https://www.iu.org/bachelors/computer-science-on-campus/applied-ai-specialisation/
# Why BSc Computer Science with Applied AI at IU Berlin is Your Gateway to an AI-Driven Career
At IU International University of Applied Sciences, you'll learn by doing—not just listening to lectures. The BSc Computer Science with Applied AI combines in-person instruction with hands-on digital tools, ensuring you develop real, industry-ready skills from day one. The programme structure interweaves practical, project-based experience throughout your studies, meaning you're building actual solutions rather than memorizing theory.
## How You'll Gain Practical Skills at IU
The Applied AI specialisation is built on a foundation of core computer science knowledge paired with hands-on work in cutting-edge technologies. You'll master machine learning, neural networks, and intelligent systems while applying them to real-world challenges. What sets this programme apart is the emphasis on practical, project-based experience in Edge AI, where you apply AI models directly on resource-constrained devices—the kind of work companies are actively hiring for.
Throughout your studies, you'll work with industry-standard tools and collaborative environments:
- Python-based projects across multiple modules, from Introduction to Programming with Python to Object-Oriented and Functional Programming, giving you deep expertise in the language AI engineers use daily
- Supervised and unsupervised learning modules with hands-on statistical foundations and advanced feature engineering approaches
- Project-based modules including "Build a Data Mart in SQL" and "Software Engineering projects" where you work in teams to solve real problems
- Mandatory internship in Computer Science & Business Information Systems, allowing you to apply your skills in professional settings and build your network
- Digital learning tools integrated alongside your in-person lectures at the Cologne campus, providing flexible access to resources and collaborative platforms
- Seminar in Current Topics in Computer Science, keeping you updated on the latest AI developments and industry trends
The Berlin campus location gives you access to Germany's thriving tech ecosystem, with opportunities to connect with leading AI companies and innovation hubs in the region.



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