Applied Artificial Intelligence Bachelor of Science

3 Years On Campus Bachelors Program

SRH Berlin University of Applied Sciences

Program Overview

The Applied Artificial Intelligence Bachelor of Science at SRH Berlin University of Applied Sciences is a hands-on, English-taught program that equips you with the skills to build real-world AI applications, starting from core fundamentals like math and programming and advancing to cutting-edge areas like Machine Learning and Computer Vision. It's perfect for motivated students passionate about technology who want to blend theory with practical projects, ethical considerations, and industry tools—preparing you to launch a career in one of today's fastest-growing fields.

 

### Curriculum Structure
Year 1 (Semesters 1-2): You'll kick off with a solid foundation in the essentials, diving into Introduction to Artificial Intelligence, Data Structures and Algorithms, and Mathematics for AI to build your technical base, alongside Computer Systems and Statistics and Probability for handling data effectively. Classes like Communication and Presentation help you articulate ideas clearly, while Foundations of Data Science introduces real-world data handling—setting you up for success right from the start in a supportive, project-focused environment.

Year 2 (Semesters 3-4): Building momentum, you'll explore Machine Learning in depth, applying it through hands-on projects with Deep Learning, Natural Language Processing, and Computer Vision to create intelligent systems. You'll also tackle practical tools like cloud platforms and ethical AI discussions, ensuring you're not just learning concepts but deploying them confidently for industry impact.

Year 3 (Semesters 5-6): In your final year, specialize with advanced modules like AI Operations (AIOps), IoT and Edge AI, and Robotics and Autonomous Systems, plus options for internships, study abroad, or electives such as Time Series & Predictive AI or Gaming Analytics. Wrap up with Research Methods & Scientific Writing and your Bachelor's thesis, turning your skills into a portfolio-ready showcase that employers love.

Focus areas: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, IoT, Robotics, and ethical AI applications— all with hands-on projects using industry tools and cloud platforms.

Learning outcomes: Gain expertise to build, train, and deploy AI models; understand ethical implications; and apply AI in real-world contexts through projects, internships, and a thesis—emerging as a responsible innovator ready for industry or research.

Professional alignment (accreditation): This state-accredited program from SRH Berlin University of Applied Sciences aligns directly with industry needs, emphasizing practical AI skills via collaborations, standard tools, and optional internships for seamless entry into tech roles.

Reputation (employability rankings): SRH's practice-oriented approach delivers strong employability, with graduates landing roles in AI-driven industries thanks to real projects and industry ties—backed by the university's focus on future-proof skills in high-demand fields like AI.

Ready to take the next step? Apply now at [https://www.srh-university.de/en/bachelor/aim/applied-artificial-intelligence/](https://www.srh-university.de/en/bachelor/aim/applied-artificial-intelligence/)

Experiential Learning (Research, Projects, Internships etc.)

At SRH Berlin University of Applied Sciences, our Applied Artificial Intelligence Bachelor of Science programme stands out because you'll gain real-world skills right from the start, building, training, and deploying AI models through hands-on projects using industry-standard tools and cloud platforms. You'll dive into practical applications of Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision, all while working on numerous projects that mirror what professionals do every day. This approach ensures you're not just learning theory—you're creating intelligent applications ready for the job market, with options like an internship or semester abroad in your fifth semester to boost your experience.

 

Here's how our programme makes experiential learning come alive: through dedicated labs, projects, and industry connections tailored to AI.

- Practical projects throughout: Build and deploy AI models in modules like Machine Learning, Deep Learning, and Robotics and Autonomous Systems, applying skills to real-world contexts from day one.
- Group and lab-based work: Tackle collaborative projects in areas like AI Operations (AIOps), IoT and Edge AI, and Research Methods, often in team settings that build your engineering and presentation skills.
- Optional internship: In the fifth semester, choose a hands-on internship or semester abroad to gain direct industry exposure and apply your AI knowledge on the job.
- Industry-standard software and tools: Use professional tools for programming, data structures, cloud platforms, and AI model training, including specifics like those in Time Series & Predictive AI and Gaming Analytics.
- Digital and cloud tools: Work with cloud computing environments and data science foundations to handle scalable AI systems, emphasized across the curriculum.

This is just the start—check out our full facilities list here: [SRH University Facilities](https://www.srh-university.de/en/campus/berlin/facilities/). Imagine graduating with a portfolio that lands you dream roles in AI. Ready to apply? Let's chat about your next steps—spots fill up fast!

Progression & Future Opportunities

At SRH Berlin University of Applied Sciences, our Applied Artificial Intelligence Bachelor of Science program dives right into hands-on learning from day one, so you'll build real-world AI skills through projects that let you create, train, and deploy models using industry-standard tools and cloud platforms. You'll apply what you learn in practical scenarios across Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing, turning theory into solutions employers crave. This approach ensures you're not just studying AI—you're doing it, with plenty of opportunities to collaborate and innovate right here on campus.

 

Here are some standout ways you'll gain experiential learning tailored to this program:
- Numerous projects throughout the curriculum where you build, train, and deploy AI models, including specialized ones like Time Series & Predictive AI, Gaming Analytics, IoT and Edge AI, and Robotics and Autonomous Systems.
- Optional internship or semester abroad in the fifth semester to apply your skills in a professional setting and gain industry experience.
- Final Bachelor's thesis focused on real-world AI applications, helping you showcase your expertise to future employers.
- Access to industry-standard tools and cloud platforms for hands-on work in core AI disciplines, ensuring you're proficient with what companies actually use.

Check out the full list of facilities here: [SRH University Facilities](https://www.srh-university.de/en/campus/berlin/facilities/). Imagine graduating ready to launch your AI career—spots are filling up fast, so let's get your application started today!

Program Key Stats

€9900
€9480
€ 1000
Rolling


No

Eligibility Criteria


6.5
80

Additional Information & Requirements

Career Options

  • AI Developer / AI Scientist
  • Machine Learning Engineer / Deep Learning Specialist
  • Data Scientist / Data Analyst
  • Cloud AI Engineer
  • AI Consultant / AI Project Manager
  • Specialist for Ethical AI

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