Overview

Gain the expertise required to turn raw data into trustworthy insight, build machine learning models, and create solutions that respect who they affect and how.

From regression, classification, and clustering to data visualization, storytelling, and ethical AI, Tomorrow University's Bachelor of Science in Data Science is designed for purpose-driven individuals looking to lead with technical rigor and honest judgment, helping organizations make smarter, more responsible, data-informed decisions.

Key Features

Use statistical thinking, machine learning, and clear communication to build an impact-driven career in data science.

This Bachelor of Science in Data Science provides an in-depth exploration into machine learning, data storytelling, and the ethical use of data and AI in real-world business contexts.

With a focus on technical depth paired with human judgment, this program covers regression, classification, clustering, and data visualization, with practical learning in statistics and mathematics as the foundation of the curriculum. Learners build the confidence to design end-to-end machine learning pipelines and communicate results with clarity and integrity.

Learners develop the skills to analyze, model, and communicate insight that others can trust. Build your portfolio as you navigate our challenges, and be ready for a career in data science and responsible AI.

Discover Your Impact

Make a real impact. By joining this Bachelor of Science in Data Science, you'll be part of a community of learners from around the world who are dedicated to using data honestly and 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 skills that are crucial and transferable across various data and tech career paths. You'll progress at your own pace, deepening your understanding and showcasing your capabilities through real-world projects. These are key building blocks in your learning journey, leading to a dynamic competency tracking 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.

Programme Structure

Program highlights

Interdisciplinary Learning: Dive into specialized coursework that bridges machine learning, data storytelling, human-centered AI, and ethical technology, preparing you for the forefront of data-driven work.
Real-World Impact Projects: Engage in hands-on projects that apply data science to tackle pressing topics with industry partners.
Analytical Focus: With a focus on rigor and communication, learn to build models, visualize insight clearly, and find new ways to help organizations make better decisions with data.

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:

Technological Literacy
Self-Empowerment
Entrepreneurial Spirit
Sustainability Thinking
Social Intelligence
Cognitive Proficiency

Key information

Duration

Part-time
- 36 months
- Flexible

Start dates & application deadlines

You can apply for and start this programme anytime.

More details

Intakes start 4 times a year, with rolling admissions. See our website for current start dates.

Language

English, Partially taught in German

Credits

180 ECTS

Delivered

Online

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 Data Analytics View 3 other Bachelors in Data Analytics in Germany

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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.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

486 EUR / module

≈ 486 EUR / module
Domestic Applies to you

Applies to you

Citizens or residents

486 EUR / module

≈ 486 EUR / module

Additional Details

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.

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.

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Scholarships Information

Below you will find Bachelor's scholarship opportunities for Bachelor of Science in Data Science.

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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