Overview
Gain the expertise required to apply artificial intelligence to real business challenges, turn data into insight, and build solutions that create lasting impact.
From machine learning, data visualization, and applied statistics to responsible AI design and human-centered technology, Tomorrow University's Bachelor of Science in Applied AI is designed for purpose-driven individuals looking to bridge technical depth with business understanding and drive organizations toward more responsible, data-informed decision-making.
Key Features
Use machine learning, data analysis, and business problem-solving to build an impact-driven career at the intersection of AI and organizational strategy.
This Bachelor of Science in Applied AI provides an in-depth exploration into applied machine learning, data science, and human-centered AI, and their practical and ethical use in real business contexts.
With a focus on business-relevant technology, this program covers regression, classification, and clustering, data visualization and storytelling, and the trends, possibilities, and ethical considerations shaping how AI is applied responsibly. Mathematics, statistics, and algorithms form the technical foundation of the curriculum, enabling learners to design, train, and communicate machine learning models with clarity and integrity.
Learners develop the skills to translate business questions into data-driven solutions and build a practical project portfolio. Navigate our challenges, and be ready for a career applying AI where it matters most.
Discover Your Impact
Make a real impact. By joining this Bachelor of Science in Applied AI, you'll be part of a community of learners from around the world who are dedicated to applying technology responsibly within their organizations and communities. Network with like-minded professionals and connect directly with industry leaders and experts. The program is designed with flexibility in mind, with all course discussions taking place online.
Change Through Challenge
Tomorrow University's challenge-based learning model ensures you gain essential, transferable skills across technical and business career paths. You'll progress at your own pace, deepening your understanding and showcasing your capabilities through real-world projects. These become the building blocks of your learning journey, tracked through a dynamic competency system where you can monitor your growth in real time.
Why study with Tomorrow University of Applied Sciences ?
At Tomorrow University, the mission is not just to prepare learners for future challenges but to empower them to redefine the future itself. With a revolutionary approach to education, the university offers accessible, high-quality, and flexible learning experiences. State-recognized in Germany and ranked among the top innovators in leadership education by the World University Rankings for Innovation, Tomorrow University leads at the forefront of innovative education for sustainable development goals.
Accreditation
Tomorrow University is a fully-accredited, state-recognized University of Applied Sciences.
Get more details
Visit programme websiteProgramme Structure
Program highlights
- Interdisciplinary Learning: Dive into specialized coursework that bridges machine learning, data science, human-centered AI, and responsible technology, preparing you for the forefront of applied AI work.
- Real-World Impact Projects: Engage in hands-on projects that apply AI and data science to tackle real business challenges with industry partners.
- Entrepreneurial Focus: With a focus on application and business relevance, learn to build AI-powered solutions, present your projects, and find new ways to transform organizations with technology
21st Century skills
Using a challenge-based learning model, learners develop key 21st-century competencies. According to the World Economic Forum, these skills are crucial for the future job market:
- Self-Empowerment
- Entrepreneurial Spirit
- Sustainability Thinking
- Social Intelligence
- Cognitive Proficiency
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 36 months
- Flexible
Start dates & application deadlines
From 486 EUR/month (17,500 EUR total) or 15,500 EUR upfront. 180 ECTS, 3 years. Scholarships and regional grants up to 8,000 EUR available.
Language
Credits
Delivered
- Semi-structured
- Proactive tutoring and support
- Individual work/assignments (with online group discussions), Online group works/assignments
Campus Location
- Frankfurt am Main, Germany
Disciplines
Data Science & Big Data Artificial Intelligence Machine LearningExplore more key information
Visit programme websiteWhat 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
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Fill out our web-form or reach out to the team to learn if you're eligible for our program.
- Submit a video or a paragraph outlining your personal mission statement and motivation for joining the Bachelor's Degree Program.
- We have a look at your application and background to get to know you better.
- You’re invited to attend an admissions interview with us.
- If you pass the admissions interview, we ask you to share some information and documents.
- If approved, you’ll sign an admissions contract and send your initial tuition down-payment.
Make sure you meet all requirements
Visit programme websiteTuition Fees
-
International Applies to you
Applies to youNon-residents486 EUR / module≈ 486 EUR / module -
Domestic Applies to you
Applies to youCitizens or residents486 EUR / module≈ 486 EUR / module
Additional Details
from € 486 per month OR €17.500 total before reductions (scholarships, early bird.. etc)
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 Bachelor's scholarship opportunities for Bachelor of Science in Applied AI.
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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