Master of Science in Data Science

University of Europe for Applied Sciences sets clear and transparent entry requirements for international students, ensuring a fair and accessible admissions process. 

• Academic Qualifications: Prospective international students applying for postgraduate programs are typically required to have attained a minimum academic score of 60% or above in their previous educational qualifications. This criterion serves as a benchmark for assessing a student's academic capability for admission consideration.

• English Language Proficiency:

  IELTS Requirements: An overall IELTS score of 6.0 is mandatory for admission to postgraduate programs at University of Europe for Applied Sciences. Additionally, there should be no individual band score less than 5.5 in the IELTS test.
  
  TOEFL iBT Requirements: For applicants opting for TOEFL, the minimum overall score required is 72 with no sub-score falling below 17 in each section.

The University of Europe for Applied Sciences (UE) is supporting the academic aspirations of international students by offering various scholarships and financial aid opportunities to help alleviate the financial burden of pursuing higher education in Germany.

Merit-Based Scholarships: UE provides merit-based scholarships to outstanding international students who demonstrate exceptional academic achievements, leadership potential, or significant contributions to their field of study. These scholarships often cover a portion of tuition fees, offering financial support based on academic excellence.

Need-Based Financial Assistance: The university also offers need-based financial assistance to international students facing financial constraints. These programs aim to ensure that students with exceptional potential but limited financial resources have the opportunity to pursue their education at UE. Financial aid may cover tuition fees, living expenses, or both, depending on the student's circumstances.

Specific Program Scholarships: UE offers scholarships that are specific to certain academic programs or fields of study. These specialized scholarships are designed to attract talented international students interested in particular disciplines or industries, encouraging diversity and excellence within those fields.

External Funding Opportunities: The university assists international students in identifying and applying for external funding sources, including governmental scholarships, private grants, and international organizations' funding programs. UE provides guidance and support throughout the application process for these external funding options.

Application and Eligibility Criteria: Eligibility criteria for scholarships at UE may vary based on academic achievements, extracurricular involvement, financial need, and other factors. Students are encouraged to thoroughly review the specific requirements and application procedures for each scholarship opportunity offered by the university.

The University of Europe for Applied Sciences' Master of Science in Data Science equips students with in-demand skills to address the growing need for data-driven decision-making across various industries.

1. Data Scientist: Analyze complex data sets, develop algorithms, and generate actionable insights to drive business decisions.

2. Data Analyst: Interpret data, create reports, and offer data-driven solutions and recommendations.

3. Machine Learning Engineer: Design and implement machine learning models and algorithms for predictive analysis.

4. Business Intelligence Analyst: Utilize data to optimize business strategies, improve operations, and identify market trends.

5. Data Engineer: Manage data infrastructure, process large datasets, and ensure data quality and accessibility.

6. AI Specialist: Work on developing and implementing artificial intelligence models and applications.

7. Data Consultant: Provide expertise in data strategy, governance, and implementation for organizations seeking data-driven solutions.

8. Quantitative Analyst: Use statistical and mathematical models to analyze financial or business-related data in industries like finance and economics.

9. Research Scientist: Explore advanced data science methodologies, contributing to innovation and cutting-edge technologies.

10. Healthcare Data Analyst: Specialize in analyzing medical data to improve healthcare outcomes and optimize operations in the healthcare sector.

11. Marketing Analyst: Utilize data insights to develop targeted marketing strategies and campaigns.

12. Predictive Modeler: Develop predictive models to forecast trends, behaviors, or outcomes in various domains.