Master's in Project Management & Data Science (MSc)

This English‑taught, two‑year Master’s programme trains you to lead data‑driven projects in international workplaces by combining applied data analytics with contemporary project management. You’ll develop both technical skills in data analysis and the managerial know‑how to steer cross‑border projects, learning from faculty who combine academic credentials with real industry experience. Classes take place at HTW Berlin—one of Germany’s largest universities of applied sciences—within a diverse cohort of students from 16+ countries in the lively, globally connected city of Berlin.

The curriculum moves you from foundational concepts to advanced, hands‑on competence across both disciplines. Core subject areas include international business law, change management and leadership, cross‑cultural communication, data governance and security, and artificial intelligence. Teaching is practice‑oriented: expect case studies, team projects, workshops, guest lectures, company visits and collaborative assignments with industry partners, plus the option to write your Master’s thesis in cooperation with a company.

Modules blend on‑campus lectures, interactive streamed video conferences and self‑paced online materials (readings, videos and exercises) so you can apply and test your learning continuously. Strong ties to industry boost networking and employability—graduates have gone on to roles at major firms such as Mercedes‑Benz, Deutsche Bank and Samsung Electronics as well as innovative Berlin start‑ups like HelloFresh. The programme is explicitly geared toward preparing students for management positions in international, data‑centric organisations.

Key facts / entry‑related points

• Duration: 2 years (Master of Science), taught in English
• Dual focus: data analysis and international project management (interdisciplinary)
• Practice‑oriented teaching: case studies, company projects, guest lectures and workshops
• Interactive delivery: on‑campus lectures complemented by streamed video conferences and online materials
• Strong industry links and networking opportunities; option to write Master’s thesis with a company
• International cohort (students from 16+ countries); open to applicants with a range of academic backgrounds

Overview

This two-year, English-language master’s program combines international project management with applied data science to train professionals who can lead data-driven projects across borders and industries. In the first two semesters you move from core foundations (project management, statistical programming, data analytics) to more advanced topics (agile methods, data mining, AI). The third semester focuses on practical application through a dedicated lab and advanced technical courses, while the fourth semester is reserved for a Master’s thesis — which can be carried out in cooperation with a company if you choose.

The curriculum balances managerial and technical competencies. Core modules include International Project Management, Contract and International Business Law, Change Management and Leadership, Agile Project Management, Data Mining, Emerging Technologies and Artificial Intelligence, Advanced Data Mining Techniques, Databases and Big Data, Responsible Data Management, and Natural Language Processing (NLP) & Neural Networks. Complementary courses build skills in leadership, cross-cultural communication, ethics and information systems, preparing you to manage multidisciplinary teams and to deploy AI and analytics responsibly.

Learning outcomes emphasize: advanced proficiency in data analytics and statistical programming; practical experience applying these methods to real business problems in the Project Management & Data Analytics Lab; the ability to lead and change-manage international projects; understanding of legal, ethical and cross-cultural aspects of global project work; and readiness to complete an independent, research- or industry-linked Master’s thesis.

Core requirements / programme facts (concise)

• Duration: two years (four semesters)
• Intake dates: 1 October 2026 (winter semester), 1 April 2027 (summer semester)
• Language of instruction: English
• Location: HTW Berlin, Treskowallee Campus
• Final phase: Fourth semester dedicated to Master’s thesis, plus thesis seminar and final oral examination

Core modules by semester

• First semester:
  • International Project Management
  • Foundations of Data Analytics and Statistical Programming
  • Contract and International Business Law
  • Change Management and Leadership
• Second semester:
  • Agile Project Management
  • Data Mining
  • Emerging Technologies and Artificial Intelligence
  • Elective module I
• Third semester:
  • Project Management and Data Analytics Lab
  • Advanced Data Mining Techniques, Databases and Big Data
  • Responsible Data Management in Practice
  • Natural Language Processing (NLP) and Neural Networks
  • Elective module II
• Fourth semester:
  • Master’s thesis
  • Master’s thesis seminar and final oral examination

Elective module options (examples)

• Negotiation Techniques and Cross-Cultural Communication
• Interpersonal Dynamics and Group Facilitation
• Technology Management in Practice
• Data Ethics and Responsible Data Science
• Managing International Projects
• Statistical Programming
• Current topics in Data Science
• Current topics in Project Management

If you would like, I can produce a suggested study plan, explain how the lab and thesis collaboration with industry typically work, or map these outcomes to potential career paths.

Graduates are prepared for roles that bridge technical data work and managerial responsibility — for example, data-driven project manager, data analytics lead, product manager with data focus, or consultant for international projects. The programme’s practice orientation and industry connections support direct employability in large corporations and agile startups alike.

Alumni from HTW Berlin have moved into positions at major companies such as Mercedes‑Benz, Deutsche Bank and Samsung Electronics, as well as Berlin start-ups like HelloFresh. The degree is positioned to help you step into management-track roles where data-informed decision making and cross-border project leadership are required.