Master in Business Analytics & Data Science (Geneva)

100% taught in english.
Technology advances have dramatically changed the way businesses function, and expertise in business analytics and data science is essential to leverage technology for optimal results. Applying a hands-on approach, this program gives students a comprehensive foundation in data science, using industry-leading software, tools and applications. Students will gain practical experience with advanced web-based applications and toolsets, understand how to use data as a strategic resource and learn how to apply data management skills to a business setting in order to effectively implement data-driven solutions.
Why Geneva?
Studying a Master in Business Analytics & Data Science in Geneva allows students to benefit from proximity to the Swiss capital's remarkable concentration of outstanding intergovernmental organizations, financial institutions and the headquarters of multinational companies. It is home to the highest number of international organizations in the world, including the United Nations, the World Trade Organization, the World Health Organization and the Red Cross. EU students are given an insider's glimpse of the workings of these world-famous organizations and institutions during company visits and networking events.
The diverse and international community in Geneva allows students to gain a global mindset and expand their cultural awareness during their time at EU. These soft skills are essential for any future business leader's repertoire and are highly desirable traits in the international job market. Geneva's combination of tranquility, diversity and business excellence makes this city a perfect location to gain a business education.

Program Structure
The Master in Business Analytics & Data Science (60 ECTS) is a one-year program, divided into three terms. Each term comprises four courses (4 ECTS each) and one seminar (2 ECTS). Throughout the year, students will also participate in real-life case studies and business simulations. In order to graduate, participants must also complete a business plan (6 ECTS).
Year 1:

• Introduction to Big Data & Data Science
• The Data Science Toolkit
• The Big Data Toolkit
• Data Security & Privacy
• Masterclass I
• Machine Learning
• Deep Learning & AI
• Data Visualization & Communication
• Data Visualization Lab
• Masterclass II
• Business Intelligence
• Management Information Systems & ERP
• Business Analytics
• Data-Driven Management
• Masterclass III

The admission process at EU Business School is clear and straightforward. Applicants must fulfil specific academic and English language requirements to be eligible for admittance into their chosen program.
Prospective students are evaluated on the strength of their applications as a whole. Consideration is given to the student's qualities and abilities: leadership potential, academic achievements, performance on standardized tests, extracurricular activities and personal experiences. EU's Admissions Services department will assist all applicants throughout the entire application process.

This master's program provides a comprehensive foundation of data science to business professionals who work with data, lead data scientist teams or are looking to manage a data-driven enterprise. Students will:

• Obtain an extensive top-level understanding of the foundations of data science using industry leading software, tools and applications. 
• Gain hands-on experience with advanced web-based applications and toolsets and understand how machine learning and deep learning can provide solutions to business problems.
• Use data as a strategic resource and apply data management skills to the business setting to effectively implement data-driven approaches to gain valuable insights.