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1997 - 2017
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© HTW Berlin/Nina Zimmermann
© HTW Berlin/Alexander Rentsch
© HTW Berlin/Alexander Rentsch

The Master’s degree programme in Project Management and Data Science (MPMD) at HTW Berlin will allow students to successfully manage and supervise projects in the international environment as well as facilitate, process and interpret extensive datasets and carry out analyses across different disciplines.

With 13,000 enrolled students and 3,000 graduates per year, HTW Berlin is the largest university for applied sciences in eastern Germany.

This 4 semester full-time course is completely taught in English and is available to participants from a wide range of academic and work backgrounds. During this program you will acquire international skills by working with students of different nationalities and background.

The modules are taught as a blend of formal lectures, seminars and practical exercises as well as case studies and lab work to encourage teamwork and practical application. The programme staff consists of experts in the field with a strong academic and practical background.

Structure

During your studies you will acquire knowledge of business administration with an international basis. The curriculum focuses on different areas of project and information management, various data analysis techniques as well as HR and marketing. Extensive knowledge of statistics is not required.

The programme is structured as follows:

1st semester

  • International Project Management I
  • Foundation of Data Analytics and Statistical Programming
  • Contract & International Business Law
  • Elective Module - See list below

2nd semester

  • International Project Management II
  • Advanced Computational Data Analytics
  • Change Management and Leadership
  • Financial Reporting and Management Information Systems

3rd semester

  • Project Management and Data Analytics Lab
  • Advanced Data Mining Techniques, Databases and Big Data
  • Practical Data Governance, Data Security, and Regulatory Compliance
  • Elective Module - See list below.

Elective Modules 1st or 3rd semester

  • Negotitation Techniques and Cross-Cultural Communication
  • Group Facilitation
  • Technology Management in Practice

4th semester

  • Master's Thesis

Career

As most companies are either already operating internationally or are looking to enter the global market, there is a high demand for qualified professionals with a broad knowledge of the trends and interdependences in the international business world.

Most companies manage their work in project teams; project managers organize tasks, time, budget and resources for projects of all sizes and in various industries. The responsibilities of the project manager are various and include keeping people on track, delivering the end result within the budget and on time. Without a well educated project manager, projects lack organization and become vulnerable to failure.

The Master's programme MPMD will enable you to successfully plan, organize and execute projects. By teaching you techniques of data mining you will be able to understand and use the data your project and the project environment generates and use the information to deliver your project on time, on budget and with the right quality.

You will be able to work in areas such as

  • Project Management
  • Controlling
  • HR
  • Marketing
  • Data Analysis

Potential fields of employment are

  • Consulting
  • Healthcare
  • Manufacturing
  • Services

Successful master students can also apply for doctoral studies (PhD) at other universities and embark on a career in international research having acquired the necessary skills for working in a team-oriented and proactive work-atmosphere and for performing to ethical standards.

Tuition Fee

  • 4000 EUR per semester
  • ca. 310 EUR semester fees (including public transportation ticket)

Admission

To be eligible for the Master's programme Project Management and Data Science a bachelor degree with 180 or 210 ECTS is necessary. At least one year of professional experience after acquiring your Bachelor’s degree is also expected. However, this practical experience does not have to be gained in the area of project management or data science. Knowledge of German is also not required to study in the Master Project Management and data science.

A good knowledge of English on at least the level B2 according to CEFR (Common European Framework of Reference for Languages: Learning, Teaching, Assessment) is essential. It can be ensured by:

  • ALTE level: Level 3
  • IELTS exam: minimum score of 5-6
  • Cambridge exam: First Certificate in English (FCE) A-C
  • TOEIC: score of 541-700
  • TOEFL iBT: minimum score 87
  • UNIcert®: minimum UNIcert II
  • Or the proof of study in a programme conducted in English for at least one year, or the graduation with a complete English-language degree, can be accepted.

Other proof of language proficiency may also be accepted – please contact us by e-mail.

If the official language in the country of origin is English then no language certificate is necessary.

Knowledge of German language is not required to study in the Master's programme Project Management and Data Science.

Application period starts November 1, 2017 until February 28, 2017. After the application period is closed, places can only be allocated according to availability.

Contact

For all questions please send an e-mail to
admission-mpmd@no-spamhtw-berlin.de

For more information about the programme please visit the Website of the University.
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The Business School at HTW Berlin

The Business School at HTW Berlin — administrative name "Department 3: Economics and Law" — is the second largest department at HTW Berlin, including over 3,000 students, 60 professors and 120 lecturers. The students and lecturers collaborate with numerous national and international companies, administrations, associations, research and educational institutions, and many universities worldwide. Lectures, seminars and workshops are organised in order to create and appreciate new perspectives. Current issues in economics and society are addressed and analysed together with students in a cooperative form that includes active involvement and professional feedback. Combined together, this produces a unique combination of strengths: a central and cultural location, an international outlook and excellent academic performance.

 

 

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