Studying

Programme content

The Master’s in Project Management and Data Science at HTW Berlin will help you to successfully manage and supervise high-level projects in an international environment – as well as define, process and interpret extensive datasets to carry out analysis across different disciplines.

The modules of the first and second semester are offered 75% as live sessions and 25% as self-learning unit using our eLearning tool Moodle.

Click on the title of each module for more detailed information.

Curriculum from Intake 2026

1^st semester
International Project Management CM \| PA \| 6 WSH
Foundations of Data Analytics and Statistical Programming CM \| PA \| 6 WSH
Contract & International Business Law CM \| PA \| 4 WSH
Change Management and Leadership CM \| PA \| 4 WSH

2^nd semester
Agile Project Management CM \| PA \| 6 WSH
Data Mining CM \| PA \| 6 WSH
Emerging Technologies and Artificial Intelligence CM \| PA \| 4 WSH
Elective module (see list below) CM \| PA or PS \| 2 or 4 WSH

3^rd semester
Project Management and Data Analytics Lab EM \| PCE \| 2 WSH
Advanced Data Mining Techniques, Databases and Big Data CM \| PA \| 4 WSH
Responsible Data Management in Practice CM \| PA \| 3 WSH
Natural Language Processing (NLP) and Neural Networks CM \| PA \| 4 WSH
Elective Module - See list below. EM \| PA or PS \| 2 or 4 WSH

4^th semester
Master's Thesis CM \| MT \| 18 weeks writing period
Master's Thesis Seminar and Final Oral Examination CM \| PS/eL \| 1 WSH \| online seminar

Elective Modules 2nd and 3rd semester
Negotiation Techniques and Cross-Cultural Communication EM \| PA \| 4 WSH
Interpersonal Dynamics and Group Facilitation EM \| PA \| 4 WSH
Technology Management in Practice EM \| PS \| 2 WSH
Data Ethics and Responsible Data Science EM \| PA \| 4 WSH
Managing International Projects EM \| PA \| 4 WSH
Statistical Programming EM \| PA \| 4 WSH
Current topics in Data Science EM \| PA \| 4 WSH
Current topics in Project Management EM \| PA \| 4 WSH

Curriculum for Intake 2023, 2024 and 2025

1^st semester
International Project Management I CM \| PA \| 6 WSH
Foundations of Data Analytics and Statistical Programming CM \| PA \| 6 WSH
Contract & International Business Law CM \| PA \| 4 WSH
Elective Module - See list below. CM \| PA or PS \| 2 or 4 WSH

2^nd semester
International Project Management II CM \| PA \| 6 WSH
Advanced Computational Data Analytics CM \| PA \| 6 WSH
Change Management and Leadership CM \| PA \| 4 WSH
Financial Reporting and Management Information Systems CM \| PA \| 4 WSH

3^rd semester
Project Management and Data Analytics Lab EM \| PCA \| 2 WSH
Advanced Data Mining Techniques, Databases and Big Data CM \| PA \| 4 WSH
Practical Data Governance, Data Security, and Regulatory Compliance CM \| PA \| 3 WSH
Emerging Technologies and Artificial Intelligence CM \| PA \| 3 WSH
Elective Module - See list below. EM \| PA or PS \| 2 or 4 WSH

4^th semester
Master's Thesis CM \| MT \| 18 weeks writing period
Master's Thesis Seminar and Final Oral Examination CM \| PS/eL \| 1 WSH \| online seminar

Elective Modules 1^st or 3^rd semester
Negotiation Techniques and Cross-Cultural Communication EM \| PA \| 4 WSH
Interpersonal Dynamics and Group Facilitation EM \| PA \| 4 WSH
Technology Management in Practice EM \| PS \| 2 WSH
Data Ethics EM \| PS \| 4 WSH
Managing International Projects EM \| PS \| 2 WSH

Key Links

Course of studies MPMD

E-Learning (EL): Teaching takes place in synchronous and asynchronous form. Teaching in synchronous form takes place online in the presence of the teacher and the students. Teaching in asynchronous form includes a variety of didactically different electronic-technical supported teaching and learning formats, which are made available to the students online.

Practical activities (PA) put your skills into practice. Here you work on real practical tasks as a group.

PC Activities (PCA) involve you working with special software in an IT lab.

In a project seminar (PS) you work together with other students on a problem and try to solve it using scientific methods. The course consists of a mixture of presentations and discussions.

Meet the MPMD staff

Including Prof. Tilo Wendler, Director of the MPMD programme and vice-president for Studies, Teaching and International Affairs of HTW Berlin

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Project Management and Data Science

Studying

Programme content

Curriculum from Intake 2026

Curriculum for Intake 2023, 2024 and 2025

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