Data Science &
Management Master
Big business with big data — become an expert in data science with strategic and leadership impact.
YOUR DATA SCIENCE MASTER IN A NUTSHELL
Digitalization now lets us capture and learn from immense volumes of data. That’s both a huge opportunity and a major challenge for companies — the data only becomes valuable when qualified experts can make sense of it, draw insights from it, and translate findings into strategy.
The Master’s in Data Science & Management trains exactly these experts: people who combine deep technical know-how in data science, AI and analytics with the management and leadership skills to drive digital transformation. You’ll specialize in one of four areas — generative AI, trustworthy AI, data engineering, or digital transformation — and graduate ready to lead data-driven change.
"With the growing complexity of data science projects, companies no longer need only technical experts, but also additional skills."
Prof. Dr. Marcel Hebing
Program Director, Professor of Data Science
Laser-focused
Two modules at a time. No overloaded timetables, no parallel exams — just eight weeks of deep, structured learning per subject.
Maximum impact
Combine on-site classes with online content and sessions to apply your knowledge in group work for maximum impact.
Real career value
Work with the same tools the industry uses — Databricks, Tableau, GitLab, DataCamp. Backed by Kienbaum and a strong network of corporate partners.
More than a student number
Learn in fixed cohorts with direct, personal access to your professors. We guide you from application to graduation.
ACCREDITED & RECOMMENDED
CURRICULUM — WHAT YOU'LL LEARN
Your Master’s in Data Science & Management (M.Sc.) — 16 modules plus your master’s thesis.
Introduction to Data Science & Management
In the first module of the program, you’ll work through all the steps of a data science project — from problem framing and data collection to analysis, communication and impact. You’ll build the foundations and the mindset to lead data-driven work from day one.
Digital Strategy & AI-driven Solutions
How do companies stay successful in the digital age? This module gives you the strategic toolkit to develop AI-driven solutions that move the needle — from positioning and value creation to execution.
Applied Data Science I: Software Development Tools and Online Data
You’ll get hands-on with the software development tools that power data science projects today — Git/GitLab, modular Python, virtual environments, REST APIs, web scraping — and you’ll learn how to work effectively with online data sources.
Data Analytics
Data is the new gold — and in this module you’ll learn how to mine it. From cleaning and exploration to statistical modeling and clear visualization with Tableau, you’ll turn raw numbers into actionable insight.
Data Management & Data Governance
- Introduction to data governance and data management
- Core elements of data architecture and data quality
- Compliance, privacy and ethical considerations
- Building organizational structures around data
Machine Learning
- Definition of machine learning
- Overview of classification, regression and unsupervised methods
- Model evaluation, fairness and interpretability
- From notebook to production: hands-on with real data
Digital Leadership
Leading in the digital age takes more than classical management skills. In this module you’ll build the leadership competencies for data-driven teams — purpose, communication, decision-making and change management.
Specialization Module 1
Dive into your specialization track now and shape the focus of your studies. Choose between generative AI, trustworthy AI, data engineering, or digital transformation.
Applied Data Science II: Operationalizing Machine Learning
This module takes machine learning out of the lab and into production. You’ll work on MLOps practices — versioning, deployment, monitoring — so your models actually create value in the real world.
Agile Project Management
To navigate the complexity of data science projects, you’ll learn agile project management approaches — Scrum, Kanban, OKRs — and how to combine them with data-driven decision-making.
Elective Module
A rotating set of current topics is offered each year, so you can pick the elective that fits your interests and career goals best.
Advanced Research Methods
You’ll master the methods for designing and executing rigorous research projects — from formulating hypotheses and selecting designs to communicating findings academically.
Applied Data Science III: Software Paradigms
In this module you’ll learn object-oriented programming, design patterns and modern software paradigms — and how to apply them in real data science workflows.
Specialization Module 2
Deepen your specialization further with advanced topics and applied case work.
Specialization Module 3 — Research Project
In the research project, you’ll work on a current, relevant question in your specialization area — alongside our faculty and partner companies.
Colloquium & Writing Workshop
This module supports you in writing your master’s thesis — structured writing sessions, peer review and the colloquium environment to test and refine your arguments.
Master's Thesis
You’ve (almost) completed your studies. In your master’s thesis you’ll work on a focused research question — applying everything you’ve learned across the program.
Choose your specialization
You’ll choose one of four specialization tracks for your studies — focusing your master’s in the area that fits your career goals best.
Track I:
Data Engineering & Big Data
Specialization modules:
- Data Engineering
- Modern Cloud & Lakehouse Engineering
- Research Project
Track II:
Trustworthy Artificial Intelligence
Specialization modules:
- AI in Society, Science and Business
- Trustworthy AI — Foundations, Frameworks and Applications
- Research Project
Track III:
Generative AI (GenAI)
Specialization modules:
- Deep Learning & Generative AI Foundations
- Advanced Methods in Generative AI
- Research Project
Track IV:
Artificial Intelligence
Specialization modules:
- Neuronale Netze & Deep Learning
- Reinforcement Learning
- Research Project
Elective Module
In your third semester, you’ll choose an elective module on current topics that matches your personal interests (excerpt; offering varies):
- IT & Cybersecurity
- Introduction to Artificial Intelligence
- Cyber Resilience
- Visual Communication
- Design Thinking Methods: Product Development & Service Design
- Cyber Forensics
- Reinforcement Learning
- Neural Networks & Deep Learning
MEET YOUR PROFESSORS AND LECTURERS
Discover an academic environment at the DBU shaped by expertise and passion. Get to know your professors and lecturers, who will accompany you on your path toward excellence and innovation.
Talk to Marcel
Book a personal advisory call with your future Program Director, Prof. Marcel Hebing. Get answers to all your technical questions about the Data Science & Management program.
ADMISSION & RECOGNITION
What you should bring with you:
Studying with a Bachelor's or university degree
You hold a Bachelor’s degree (180 ECTS) in (business) informatics, natural sciences, social sciences or engineering — or an equivalent national or international university degree. Career changers from economics or psychology are also welcome. Prior knowledge of Python/Pandas, data structures and statistics is recommended (preparatory courses available).
Credit for your prior learning
Already started a master’s program? Or you have substantial professional experience in a relevant field? Send us your documents and certificates — ideally, you can bring that experience into your studies.
Individual semester plan
Want to study but not sure how to balance family or work with your studies? We’ll work out an individual study plan with you so you can fit it all together.
TUITION & FINANCING
The DBU offers the Data Science & Management Master’s as a 24-month full-time program. Tuition is paid in two installments, with one upfront payment at enrollment and one at the start of year two. On top, you have a one-time registration fee and an examination fee. If your studies take a little longer than planned, you can extend beyond the standard period free of charge.
Credit awarded for prior learning shortens your overall study time — which directly reduces your total tuition. Tuition fees may also be tax-deductible (please check the rules in your country). Pausing your studies for personal or health reasons is straightforward — and during that time, you don’t pay tuition.
The first half of your tuition, paid at enrollment — get going right away.
The second installment of your total €18,830 tuition, due at the start of your second year.
Life isn’t always predictable. Extend your studies if needed — without any additional cost.
Frequently asked questions about studying at the DBU
What happens after I apply?
Once you’ve filled in our form, we’ll get back to you personally to ask for the additional documents we need (Bachelor’s certificate, ID, language proof, etc.). After we review your application, you’ll receive a study contract. Sign and return it — and you’re officially a DBU student.
Do I need to be on campus?
Yes — you will combine on-site lectures with online learning videos.
What about credit for prior learning and non-traditional backgrounds?
For the Master’s, you need a Bachelor’s degree (180 ECTS). However, if your background is non-traditional — e.g. you studied in economics or psychology and want to move into data science — we still welcome your application. Substantial professional experience in a related field can also count. Talk to our student advisory team and we’ll find the right path.
How does tuition compare between programs?
Total tuition for the Data Science & Management Master’s is €18,830 — paid in two installments (€10,740 at enrollment and €7,440 at the start of year two). On top, you have a €150 registration fee and a €500 examination fee. If your studies take longer than planned, you can extend free of charge.
Can I adjust my study plan during the program?
Yes — your study plan can be flexibly adjusted at any time. If life changes, just talk to us and we’ll find a setup that works for you.
What does state-recognized & accredited mean?
The DBU was officially recognized by the Berlin Senate Chancellery in November 2019 as a state-recognized university of applied sciences in Germany. Our Master’s programs are accredited by ACQUIN — internationally recognized and valid across the EU.
Can I get credit for courses from another university?
Of course. Send us evidence of successfully completed courses or relevant professional experience, and we’ll review what can be credited toward your degree — reducing your total study time and tuition accordingly.
What types of exams are there?
- Klausuren (Online)
- Studienarbeiten
- Modul begleitende Studiennachweise wie z.B. kurze Erfolgskontrollen, etc.
Can I continue to a Master's after a DBU Bachelor's?
Absolutely. The DBU’s Master’s programs are designed to build directly on Bachelor’s-level competencies — including those acquired at the DBU.
Can I pursue an MBA after a DBU Bachelor's?
Yes — you can pursue an MBA with a Bachelor’s degree, though most MBA programs additionally require professional work experience. Talk to us if you’re considering this path.
Does the DBU have a library?
Yes — and naturally, it’s also 100% digital. Our digital library gives you access to specialist eBooks, journals and learning materials 24/7, alongside our online learning platform.
Can I preview the learning platform without commitment?
Yes. Send us a quick message at hello@dbuas.com and we’ll arrange a no-commitment look at our learning platform.
Questions about the
Data Science & Management Master?
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