MA in Design
The Media Design University of Applied Sciences (MDH) offers a 1.5-year Master of Arts ...
MSc in IT - Data Science
Berlin
INTAKE: April & Oct
Program Overview
The Media Design University of Applied Sciences (MDH) offers a Master of Science (MSc) in IT with a specialization in Data Science. This program is designed to equip students with advanced knowledge and practical skills in data science, big data analytics, and machine learning. As a pioneering degree program, it prepares graduates for the data-driven future by teaching them the latest analysis methods and techniques to gain valuable insights from complex datasets. The program is 1.5 years (3 semesters) long, taught in English, and available at the university's Berlin campus, placing students in a major European hub for technology and innovation.
Curriculum: The curriculum for the MSc in IT - Data Science is structured to provide a comprehensive and hands-on education. It focuses on modern analysis methods, machine learning, and big data techniques. Students learn how to extract knowledge and facts from large volumes of data using methods from computer science, mathematics, and statistics. While specific module names may vary, the program typically covers foundational topics such as data management, mathematical modeling, and algorithms. It then progresses to more specialized areas like machine learning, big data architectures, and applied data science. The program’s practical focus is highlighted by its project-based approach, which requires students to work on real-world case studies to apply their learning.
Research Focus: The research focus of the MSc in IT - Data Science is applied and practical, mirroring the needs of the industry. The program encourages students to engage with contemporary issues in the field, and their final projects and Master's thesis are often focused on real-world data analysis challenges. The curriculum is designed to be research-led, with faculty integrating their industry experience and findings into their teaching, helping students develop critical thinking and problem-solving skills. This approach prepares students to not only understand the theoretical underpinnings of data science but also to apply that knowledge to solve complex, practical problems.
Industry Engagement: Industry engagement is a central component of the MSc in IT - Data Science program. The curriculum is developed with input from experts in the data science community to ensure that the skills students learn are highly relevant and in demand. The university leverages its network of leading professionals and companies in Berlin to provide students with valuable connections and networking opportunities. The program's practice-oriented projects often involve working with real companies, allowing students to gain in-depth insights into the challenges and strategies of data science in a professional context. This strong link to industry, along with first-class lecturers, significantly enhances graduates' employability.
Global Perspective: The MSc in IT - Data Science program provides a strong global perspective by offering an international academic experience. The program is taught entirely in English and the curriculum addresses the global nature of data and its applications. By studying in a major European tech hub like Berlin, students are exposed to a diverse, multicultural environment that fosters cross-cultural communication and collaboration, which are essential skills for a career in global data science. The program's focus on international business strategies and digital change management prepares graduates to navigate the complexities of a globalized digital world and to contribute to the growth of multinational companies.
Location
Berlin
Score
IELTS 6.5
Tuition Fee
Euro 12600
Postgraduate Entry Requirements
Academic Qualifications: Applicants for postgraduate programs typically require a minimum academic achievement of 50% 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 46 or higher.
Media Design Hochschule (MD.H) is fostering global talent and creativity by offering various scholarship opportunities and financial aid options to support international students in pursuing their academic and professional goals. While MD.H is a private institution, it provides both internal and external funding support to help international students manage the cost of education in Germany.
MD.H Talent Scholarships: Media Design Hochschule offers merit-based scholarships to highly motivated and talented students applying for bachelor’s or master’s programs. These scholarships are granted based on academic excellence, creative portfolios, motivation letters, and, in some cases, personal interviews. They typically cover partial tuition fees and are renewable based on academic performance.
Galileo Global Education Scholarships: As a part of Galileo Global Education, MD.H students may be eligible for funding and support programs coordinated by the larger education group. These scholarships are often focused on diversity, international engagement, and inclusion, providing financial support to students from underrepresented regions or backgrounds.
Deutschlandstipendium (Germany Scholarship): MD.H participates in the national Deutschlandstipendium program, which offers financial support to talented students of all nationalities. The scholarship provides jointly funded by private sponsors and the German government. Recipients are selected based on academic merit, social engagement, and personal achievements.
DAAD Scholarships: International students applying to MD.H can also apply for external scholarships from the German Academic Exchange Service (DAAD). These scholarships offer comprehensive support for undergraduate, graduate, and postgraduate students and may cover tuition fees, living expenses, and travel costs. DAAD scholarships are highly competitive and require early application.
Graduates of the Master of Science (MSc) in IT with a specialization in Data Science from Media Design University of Applied Sciences are exceptionally well-equipped for a variety of in-demand roles in a field experiencing rapid growth in Germany and worldwide.
Data Scientist: This is a core career path where graduates analyze and interpret complex datasets to drive data-driven decision-making. They are responsible for a variety of tasks, including data cleaning, building predictive models, and communicating findings to stakeholders.
Machine Learning Engineer: These professionals design, build, and deploy machine learning models and algorithms. With a strong foundation in machine learning and big data techniques, graduates can specialize in creating systems that learn from data to automate processes and make predictions.
Data Analyst: A data analyst translates data into actionable insights for business strategy. This role involves analyzing a company's data to identify trends, find insights, and project future outcomes, making it a critical position in almost every industry.
Big Data Engineer: This role is for graduates who want to focus on the infrastructure side of data. They design and build the large-scale systems and data pipelines needed to collect, process, and store massive quantities of data.
Business Intelligence (BI) Developer: BI developers create and maintain dashboards, reports, and visualizations to help businesses easily extract value from their data. This role is a great fit for graduates who excel at translating data into visual, easy-to-understand formats for business leaders.
AI Specialist/Engineer: With the program's focus on AI and machine learning, graduates can work as AI specialists, developing intelligent systems capable of simulating human reasoning for applications in robotics, finance, or healthcare.
Data Architect: A data architect defines and designs a company's database architecture and data management techniques. They build the complex computer database systems that are accessible, useful, and secure, ensuring a solid foundation for all data-related activities.
Quantitative Analyst: For graduates with a strong mathematical and statistical background, this career path involves applying quantitative methods to financial data to make investment decisions and manage risk.
Marketing Analyst: In this role, graduates apply their data analysis skills to marketing data, helping companies understand customer behavior, optimize marketing campaigns, and measure their effectiveness.
Data Privacy and Security Expert: Leveraging their understanding of data, graduates can work in roles that ensure sensitive data is protected and secure. They implement policies and procedures to safeguard against data breaches and ensure compliance with data protection laws like GDPR.
