Master in Business Analytics & Data Science

Munich

 

INTAKE: Jan, Mar & Oct

Program Overview

The Master in Business Analytics & Data Science program at EU Business School focuses on teaching students the fundamental techniques and tools required for handling and analyzing complex business data to drive strategic decisions.

Curriculum: The curriculum is meticulously designed to cover various aspects of data analytics and data science. Courses include Data Mining, Machine Learning, Predictive Analytics, Big Data Technologies, Data Visualization, and Business Intelligence. The program emphasizes both theoretical concepts and practical applications.

Research Focus: EU Business School encourages a research-oriented approach, allowing students to delve into various business analytics and data science-related topics. Students have opportunities to conduct research on areas such as predictive modeling, data-driven decision-making, or applications of machine learning in business.

Industry Engagement: The institution actively engages with industry leaders, data scientists, and analytics experts. Through guest lectures, workshops, case studies, and internships, students gain insights into real-world data analytics applications, challenges, and best practices in different industries.

Global Perspective: The Master in Business Analytics & Data Science program emphasizes a global perspective by addressing international data trends, cross-border data regulations, and the impact of global data analytics on businesses. It explores the ethical, legal, and cultural aspects of data usage on a global scale.

Pollster Education

Location

Munich

Pollster Education

Score

IELTS 6.5

Pollster Education

Tuition Fee

Euro 15600

EU Business School in Germany maintains specific entry criteria postgraduate international applicants to ensure a high standard of academic competency and language proficiency.

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: A minimum score of either 6.0 or 6.5 overall, with no individual band lower than 5.5.
  • TOEFL: An overall minimum score of 89 is often required for consideration.

EU Business School in Germany is dedicated to supporting the academic ambitions of international students by offering various scholarship opportunities. These scholarships aim to reward excellence, foster diversity, and alleviate financial burdens for deserving candidates.

Merit-Based Scholarships: The institution offers merit-based scholarships to outstanding students who demonstrate exceptional academic achievements, leadership potential, or unique talents. These scholarships are awarded based on a competitive selection process, emphasizing academic excellence and extracurricular involvement.

Need-Based Financial Aid: EU Business School acknowledges the financial challenges that some international students may face. Therefore, the institution provides need-based financial aid programs aimed at supporting students with limited financial resources. These scholarships aim to ensure that deserving candidates have access to quality education irrespective of their financial background.

Specialized Scholarships: Furthermore, the school offers specialized scholarships catering to specific fields of study or programs. These scholarships might be focused on particular industries, research areas, or academic disciplines. They aim to attract talented individuals passionate about those fields and encourage their pursuit of excellence.

Industry-Specific Scholarships: Moreover, EU Business School offers scholarships tailored to specific industries, sectors, or academic disciplines. These scholarships are designed to attract talented individuals passionate about those fields, encouraging their pursuit of excellence and innovation in those areas.

Graduates holding a Master's in Business Analytics & Data Science from EU Business School, Germany, have diverse career opportunities in the rapidly growing field of data analysis and decision science.

  1. Data Analyst: Graduates can pursue roles as data analysts, responsible for collecting, processing, and interpreting data to extract insights and support strategic business decisions.

  2. Business Intelligence Analyst: Opportunities exist as business intelligence analysts, focusing on analyzing complex data sets to identify market trends, patterns, and providing actionable insights for businesses.

  3. Data Scientist: Graduates may opt for careers as data scientists, utilizing advanced analytics, machine learning, and statistical modeling techniques to solve complex business problems and predict future trends.

  4. Data Engineer: Roles in data engineering involve managing and optimizing data pipelines, databases, and infrastructure to ensure the availability and reliability of data for analysis.

  5. Decision Scientist: Graduates can pursue roles as decision scientists, applying statistical and analytical methods to assist organizations in making data-driven strategic decisions.

  6. Machine Learning Engineer: Opportunities exist as machine learning engineers, specializing in developing and implementing machine learning algorithms to automate processes and enhance business functions.

  7. Business Consultant (Data Analytics): Graduates may choose careers as consultants, providing expert advice on data-driven strategies, optimization techniques, and assisting businesses in leveraging data for growth.

  8. Risk Analyst: Graduates can work as risk analysts, analyzing data to identify potential risks, vulnerabilities, and developing strategies to mitigate them for organizations.


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