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HTW Berlin - University of Applied Sciences

MBA & Engineering Life Science Managะตmะตnt

MBA (Master of Business Administration)
MBA
Degree
90
ECTS
English
English only
Language
Winter Semester: 28 Feb
Application Deadlines
3 semesters
(Starting: Winter Semester)
Duration
โ‚ฌ 6,166.67
Tuition Fees (per semester)
Starting
Winter Semester
Mode of Admission:
no admission restriction 
Application:
directly at university
Study Mode:
On campus
Registration Fee & Tuition Information:
All students are required to pay a semester fee of โ‚ฌ357.30 per semester. Tuition fees can be ั€aid in installmะตnts.

Program Video


01:20 min

MBA&E Life Science Management Program at a glimpse - HTW Berlin, Germany

Six Reasons to choose this Master's Program


1
Become an expert in Life Science Management
This MBA & Engineering program equips you with advanced, industry-specific knowledge and strong management expertise, preparing you for a successful career in the international life science sector. โ†’ More Info
2
Amazing career opportunities
As a graduate of this international program, you will be well prepared for management roles across the biotechnology, pharmaceutical, and healthcare industries worldwide.
3
Build your management skills
The MBA & Engineering in Life Science Management helps you develop the essential business skills needed for senior management roles within the international life science industry.
4
Enjoy unique internship opportunities
This program offers you the chance to pursue optional internships alongside your classes, helping you gain valuable practical experience in your field or explore a potential new career path.
5
Live in the โ€œHealth Capitalโ€ of Germany
Berlin offers you an innovative, diverse, and international environment and is one of Germanyโ€™s key life science hubs, providing excellent opportunities for networking, internships, and project work. โ†’ More Info
6
Artificial Intelligence for Life Sciences
Build deep expertise in applying artificial intelligence to life sciences, from AI-driven drug discovery and molecular modeling to optimized bioprocesses and predictive analytics. โ†’ More Info

How do you want to continue?

Info package