Designed for software engineers, data scientists, and tech professionals who choose responsibility for the impact of their data work.

You work with data and want to go beyond dashboards and basic models. This program supports you in working consciously with complexity, turning datasets into insights, decisions, and machine learning solutions you can stand behind.

Software Engineers

You work with data pipelines and models and want to apply machine learning methods intentionally and effectively.

Data Scientists

You already work with data and want to deepen your skills in modeling, evaluation, and deployment with clarity and rigor.

Tech Professionals

You work in AI or data-related roles and want to leverage machine learning to create meaningful product and business impact.

Purposeful Career Shifters

You want to transition into data science or ML roles with an applied focus and a strong sense of responsibility for real-world outcomes.

• Format: 100% Online (Self-Paced, While Working)
• Duration: 18 or 24 Months, 90 or 120 ECTS
• English or German
• Flexibility: Self-Paced, While Working
• Learn from Experts: Real-World Knowledge
• Community: In-Person Events (optional)

Globally Recognized Program

Ranked top-10 for innovation by WURI—your degree carries real weight worldwide.

Real-World Challenges

Solve live briefs from partner companies to build 21st-century skills you can’t learn in lectures.

Purpose-Driven Learning

Join a cohort of 1000+ professionals, plus alumni and hiring partners ready to connect you.

Tech-Enabled Personalization

Our AI-powered dashboard adapts recommendations and resources to your goals.

Maximum Flexibility

Asynchronous modules, global time-zone support, and pause-and-resume options for your life.

A curriculum built around data science, data management, and machine learning

As the amount of data grows, impact no longer comes from access alone, but from how consciously it is used. This Master of Science develops your ability to work with complex datasets, choose appropriate models, and communicate insights clearly and responsibly.

Learn the Data Science Foundations

Understand how data science creates value, which tools to use when, and how different methods influence decisions and outcomes.

Master the Applied Machine Learning Foundations

Build, evaluate, and iterate on machine learning models, including regression, classification, and clustering.

Apply Advanced ML Techniques Confidently

Explore neural networks, time series forecasting, and natural language processing in real-world contexts.

Manage & Communicate Data Effectively

You want to transition into data science or ML roles with an applied focus and a strong sense of responsibility for real-world outcomes.

A Curriculum That Adapts To You

At Tomorrow University you shape your own path by choosing flexible impact certificates (electives) whenever you are ready. You can adapt and evolve your journey at any time with our personalized learning experience.

1. Orientation

Discover your mission and purpose with ToU’s mindset. Set your initial direction, but keep the freedom to adapt your path as you grow.

2. Calibration

Shape your studies by choosing flexible impact certificates. Select electives that match your mission, and adjust them anytime along the way.

3. Elevation

Apply your knowledge in a real-world research project, tackling challenges with hands-on impact.

4. Activation

Bring your vision to life with a final thesis project, created together with industry experts.

Software Engineer

Software and data engineers designing and deploying machine learning models for products and services with end-to-end ownership.

Data Scientists

Data and analytics professionals using data to inform critical decisions and turn analysis into influence.

Tech Professionals

Tech professionals guiding organizations toward better decisions through data and machine learning, and implement solutions that create lasting impact.

Jobs you can do

• Software Engineer
• Data Scientist
• Tech Consultant

Invest in an MSc that turns data expertise into real-world impact.

By studying an accredited Master of Science in Data Science & Machine Learning, you invest in skills and self-leadership that remain relevant across roles, industries, and life stages. You grow as a data expert, turn data into meaningful insights, and join a community committed to conscious impact.

• Accredited Master of Science in Sustainability, Innovation, and Technology with a specialization in Data Science & Machine Learning.
• Portfolio of applied data science and machine learning projects.
• A global community of engineers, scientists, and professionals committed to conscious growth.

All the Benefits from an Online University

Learn flexibly whenever and wherever you want. Tackle real-world challenges that inspire you. Select your courses based on your mission. All while being surrounded by an inspiring community online.

• 100% Online Learning
• Award Winning Learning App
• Virtual Campus to Stay Connected

Online Learning is Great – But it's Better with Offline Connections

Our community comes together regularly to connect and grow. You’ll join a group of changemakers who support each other, build together and push each other forward.

IMMERSION WEEKS

Where the World Becomes Your Classroom

Unforgettable, high-impact gatherings where you meet your peers, build global connections and put learning into action.

• Meet other learners from all programs & countries
• Build lifelong friendships and career-shifting connections
• Celebrate together

ACTION HUBS

Local Impact – Global Community

Action Hubs are learner-led city groups where Tomorrow students and alumni gather for in-person connection, local impact and real-world collaboration.

• Local Meetups and Co-Working
• Workshops and Talks
• Climate Walks, Cultural Outings, Skill-Shares and Community Projects

MISSION GROUPS

Build what matters to you

Find your co-founder, further your mission and support each other to make a difference.

How you'll connect

• Mission Groups: Your peer accountability and support group throughout your journey
• Circles: Deep-dive into topics you love with likeminded Community Members, from AI, to Climate, to Diversity, Equity and Inclusion
• Mentors: Connect with mentors from the Community and beyond

So Much more!

A global ecosystem designed to support you

You’ll join a living, breathing community that grows with you.

• Events & Workshops: Live sessions with experts, alumni-led experiences, and global online meetups.
• Virtual Community Immersions: Global collaboration from home
• Community Leader Pathways: Step up, lead a circle, host an event or organize an initiative
• Your exclusive Community space: On demand connection and support
• Learner-Led Sessions: Virtual workshops, panels and meetups created by your Community

Formal Criteria

• Applicants for the 90 ECTS Master of Science (MSc) in Sustainability, Innovation & Technology must have an undergraduate degree with at least 210 ECTS or equivalent credit points, completed over a standard study period of at least six semesters
• Applicants for the 120 ECTS MSc in Sustainability, Innovation & Technology must have an undergraduate degree with at least 180 ECTS or equivalent credit points, completed over a standard study period of at least six semesters
• The undergraduate degree must be in a relevant subject area, such as:
• Business, economics, or sustainability-related fields (e.g., business administration, sustainable development, entrepreneurship, or management)
• Related fields such as environmental sciences, sustainability sociology, policy, technology, computer science, AI, data science, or humanities with a sustainability focus
• Applicants must demonstrate sufficient English language proficiency at a minimum B2 level according to the European Framework of Reference for Languages
• Motivation must be shown through the application form and will be further assessed during the admission process
• An admission interview is mandatory to evaluate eligibility and alignment with the program

Admission without an Undergraduate Degree

A previous undergraduate university degree is required to apply. Although applicants without a degree but with vocational training and relevant professional experience may sometimes be eligible for special entrance exams, this does not apply to this program. Therefore, we cannot accept applications without a completed university degree.

Policy on ECTS Credits and Graduation Requirements

• To graduate with the MSc, learners must achieve a total of 300 ECTS by the end of the program.
• Learners with a 180 ECTS bachelor’s degree enrolling in the 120 ECTS MSc will meet the requirement naturally.
• Learners with a 210 ECTS bachelor’s degree enrolling in the 90 ECTS MSc will also meet the requirement.
• In rare cases, learners with a 180 ECTS bachelor’s degree seeking the 90 ECTS MSc may have 30 ECTS credited from professional experience to reach the required 300 ECTS. This is strongly discouraged in favor of the 120 ECTS program.
• Professional experience must be relevant to MSc subjects, involve at least two years of full-time work, and may include sustainability, innovation, or technology-related roles.