Degree Overview:

Overview:

The Master in Business Analytics program at EBS is a 2-year (4-semester) program designed to equip students with the knowledge and skills needed to become successful data analysts and business decision-makers. The program focuses on developing analytical skills, understanding business processes, and applying data analytics techniques to solve real-world business problems.

Objectives:

The program aims to:

Develop expertise in data analysis and visualization: Students will learn how to collect, clean, analyze, and visualize data using various tools and techniques.
Understand core business concepts and principles: The program covers essential business areas such as finance, accounting, marketing, and operations management.
Apply data analytics to solve business problems: Students will work on real-world case studies and projects to develop their ability to use data to informed business decisions.
Prepare graduates for successful careers in data analytics: The program provides students with the skills and knowledge necessary to succeed in various roles within the data analytics field.

Description:

The Master in Business Analytics program at EBS offers a unique combination of theoretical knowledge, practical skills, and industry exposure. The program is taught by experienced faculty with industry experience and strong research backgrounds. Students also have the opportunity to participate in internships and capstone projects with leading companies and organizations.

Outline:

Program Content:

Data Visualization and Management Systems
Data Structures and Database Management
Advanced Statistics
Machine Learning
Natural Language Processing for Business Applications
Strategic Management
Managerial Accounting, Finance & Economics
Managing People, Operations & Society
Marketing Essentials
Marketing Operations
Marketing Implementation
Field Project: Wealth Creation through Active Asset Allocation
Applied Business Analytics
Hackathon
Corporate Finance and Investment Banking

Structure:

The program is divided into four semesters:

Semester 1: Core modules focusing on data analysis and visualization, data management, advanced statistics, and machine learning.
Semester 2: Elective modules allowing students to specialize in specific areas of data analytics or business.
Semester 3: Field project or internship opportunity to apply acquired skills to real-world business problems.
Semester 4: Master's thesis focusing on a research question related to data analytics and business.

Course Schedule:

The program offers a flexible schedule with courses offered in the morning, afternoon, and evening. This allows students to balance their studies with other commitments.

Individual Modules:

Data Visualization and Management Systems: This module introduces students to the concepts and techniques of data visualization and data management.
Advanced Statistics: This module builds on the foundations of statistics and introduces students to more advanced statistical concepts and techniques.
Machine Learning: This module teaches students the fundamentals of machine learning algorithms and how to apply them to real-world problems.
Natural Language Processing for Business Applications: This module introduces students to the techniques of natural language processing and how they can be applied to business problems, such as sentiment analysis and customer service.
Strategic Management: This module explores the concepts and frameworks of strategic management.
Assignments: Students will complete regular assignments and projects to apply their learning to real-world problems.
Presentations: Students will often present their work to their peers and faculty to develop their communication skills.
Field Project/Internship: The field project or internship requires students to demonstrate their ability to apply their skills to a real-world business problem.
Master's Thesis: The master's thesis is a more extensive research project that allows students to explore a specific topic in depth.

Assessment Criteria:

Accuracy and completeness: Students' work will be assessed for its accuracy and completeness in addressing the requirements of the assignment or assessment.
Critical thinking and analysis: Students' work will be evaluated for their ability to critically analyze information, identify key issues, and develop evidence-based arguments.
Communication and presentation: Students' work will be assessed for their ability to communicate their ideas clearly and effectively in written and oral form.

Teaching:

Teaching Methods:

Interactive lectures: Lectures are interactive and encourage student participation through discussions and questions.
Case studies and simulations: The program uses case studies and simulations to provide students with practical experience in applying data analysis to real-world business problems.
Project-based learning: Students work on group projects throughout the program, allowing them to collaborate with their peers and develop their teamwork skills.
Guest speakers: The program invites guest speakers from the industry to share their insights and experiences with students.

Faculty:

The program is taught by a team of experienced faculty with expertise in data analysis, business, and technology. The faculty includes:

Professor Dr. Nina B. Michaelis: Professor of Business Analytics and Program Director
Dr. Christian Hildebrand: Assistant Professor of Business Analytics
Dr. Alexander Loch: Assistant Professor of Business Analytics
Dr. Christoph A. Lütge: Lecturer for Business Analytics

Unique Approaches:

EBS Coaching & Leadership Hub: The EBS Coaching & Leadership Hub provides students with individualized coaching and leadership development opportunities.
Industry Partnerships: The program has strong partnerships with leading companies and organizations in the data analytics field.

Careers:

Potential Career Paths:

Data Analyst
Business Analyst
Management Consultant
Data Scientist
Quantitative Financial Analyst ("Quant")

Career Opportunities:

Graduates of the Master in Business Analytics program are highly sought after by employers in various industries. Some potential employers include:

Management Consulting Firms: McKinsey & Company, Boston Consulting Group, Bain & Company
Technology Companies: Google, Amazon, Microsoft, Facebook
Financial Services Companies: Goldman Sachs, JPMorgan Chase, Citigroup
Retail Companies: Walmart, Target, Amazon
Healthcare Companies: Johnson & Johnson, Pfizer, Merck

Career Outcomes:

EBS graduates have a strong track record of success in their careers.

Students have the opportunity to participate in the EBS Investment Banking Simulation, a one-week simulation that gives students the experience of working in an investment banking team.
The program offers a variety of extracurricular activities and events, including guest lectures, workshops, and social gatherings.

Tuition fees in total (including all fees): Semester Abroad, Practice or German Track (for 4 semesters): 27,420 euros Accelerated Track (for 2 semesters): 23,060 euros Tuition fees in total from fall term 2025 (including all fees): Semester Abroad, Practice or German Track (for 4 semesters): 33,780 euros Accelerated Track (for 2 semesters): 27,830 euros

Master in Business Analytics

Create a free account to unlock full content!

Log in to continue