M.Sc. International Technology Transfer Management
FHM offers a wide range of undergraduate and postgraduate programs, with a special focu...
MBA in General Technology Management and Data Science
Berlin
INTAKE: Feb, June & Oct
Program Overview
FHM – Fachhochschule des Mittelstands, Germany, is a leading private university of applied sciences known for its industry-driven education model tailored to the needs of small and medium-sized enterprises (SMEs). The university places a strong emphasis on innovation, technology, and global competence. Among its advanced offerings, the MBA in General Technology Management and Data Science stands out as a cutting-edge program designed to equip students with the skills to lead in an era of digital transformation and data-driven decision-making. The program blends strategic leadership with technical expertise, making it ideal for aspiring tech leaders and data professionals.
Curriculum: The curriculum of the MBA in General Technology Management and Data Science at FHM is comprehensive, interdisciplinary, and practical in nature. Students gain core business knowledge in areas such as Strategic Management, Innovation Leadership, Digital Business Models, and Corporate Finance, while simultaneously building strong competencies in data science. Key modules in the data science track include Machine Learning, Big Data Analytics, Data Governance, and AI Applications in Business. The program also includes project-based learning, case studies, and real-world simulations that allow students to apply theoretical knowledge to practical industry challenges. A master’s thesis and an optional internship provide opportunities to specialize in areas of professional interest.
Research Focus: FHM is highly regarded for its applied research, especially in areas closely aligned with the future of industry and technology. Research initiatives at FHM focus on digital transformation, data-driven innovation, smart industry solutions, and sustainable business models. Students pursuing the MBA are encouraged to take part in collaborative research projects with academic and industrial partners, giving them the chance to contribute to meaningful advancements in technology and data science. The university’s research centers also support students in exploring new technologies and real-world applications of data and analytics.
Industry Engagement: One of the standout features of FHM is its close integration with industry. The MBA program benefits from extensive corporate partnerships, particularly with companies in the technology, manufacturing, and analytics sectors. Through guest lectures, networking events, live business projects, and company-based assignments, students get first-hand exposure to industry expectations and practices. Many of the faculty members have extensive professional experience, bringing valuable insights directly into the classroom. FHM’s focus on practical learning ensures graduates are job-ready and aligned with the demands of the modern workplace.
Global Perspective: FHM maintains a strong international orientation, with a multicultural learning environment, English-taught programs, and partnerships with universities and corporations across Europe, Asia, and North America. The MBA program attracts students from around the world, facilitating a global exchange of ideas and practices. The university also offers opportunities for international study tours, exchange semesters, and global consulting projects. This international exposure is critical for students aiming to work in multinational environments or lead cross-border teams in tech and data roles.
Location
Berlin
Score
IELTS 6.5
Tuition Fee
Euro 15230
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 60% or above in their bachelor's degree.
English Language Proficiency:
- IELTS: Overall band score of 6.5 or 7.0 with a minimum of 6.0 in each component.
- TOEFL: Overall score of 72 or higher.
- PTE: Overall score of 55 or higher.
FHM offers a variety of scholarships aimed at helping international students manage tuition costs and living expenses while studying in Germany.
Merit-Based Scholarships: FHM awards scholarships based on academic excellence and professional achievements. High-performing students may receive partial tuition waivers or financial aid to recognize their outstanding qualifications.
Need-Based Scholarships: Students demonstrating financial need can apply for need-based scholarships, which help reduce tuition fees and make education more accessible for talented candidates regardless of their economic background.
Special Scholarships for International Students: FHM offers dedicated scholarships specifically targeting international students, aiming to encourage cultural diversity and support global talent. These scholarships often cover a percentage of tuition fees and may include additional benefits such as mentoring and language support.
DAAD Scholarships and External Funding: International students are encouraged to apply for scholarships provided by the German Academic Exchange Service (DAAD), one of the largest scholarship organizations supporting study in Germany.
FHM – Fachhochschule des Mittelstands in Germany offers an MBA in General Technology Management and Data Science, designed to equip professionals with a unique blend of strategic technology leadership and advanced data analytics skills.
Head of Data Analytics/Chief Data Officer (CDO): Leads an organization's data strategy, overseeing data collection, analysis, governance, and ensuring that data insights are leveraged to drive business decisions and innovation.
Technology Consultant: Advises businesses on how to effectively integrate and manage new technologies, optimize IT infrastructure, and leverage data science for strategic growth and operational efficiency.
Data Product Manager: Bridges the gap between data science and business by identifying opportunities to create new data-driven products or services, overseeing their development, and ensuring market fit.
Digital Transformation Manager: Leads initiatives to integrate digital technologies and data-driven approaches across all aspects of a business, from operations to customer experience, to drive fundamental change and competitive advantage.
Business Intelligence (BI) Manager/Analyst: Specializes in analyzing complex business data to identify trends, create actionable reports and dashboards, and provide insights that support strategic decision-making.
IT Strategy Consultant: Focuses on aligning an organization's information technology strategy with its overall business goals, providing recommendations on IT investments, governance, and technological roadmaps.
Senior Data Scientist: Applies advanced statistical analysis, machine learning algorithms, and predictive modeling to large datasets to extract meaningful insights and solve complex business problems.
Innovation Manager: Drives the development and implementation of new technologies, products, or business models within an organization, often leveraging data science to identify opportunities and assess potential impact.
Cybersecurity Manager (with Data Analytics focus): Oversees an organization's cybersecurity strategy, utilizing data analytics to identify threats, manage risks, and ensure the protection of digital assets and sensitive information.
Operations Technology Manager: Focuses on optimizing operational processes and supply chains through the strategic implementation of new technologies and data analysis, enhancing efficiency and productivity.
