Master in Business Analytics

Program Overview

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Master in Business Analytics

The Master in Business Analytics programme at EBS Universität is designed to equip students with the skills and knowledge necessary to understand and work with data in a business context. The programme is divided into different stages, with a focus on practical application and real-world projects.

Study Content

The Master in Business Analytics programme is divided into different stages. At the beginning of the programme, we prepare you for your future research work and support you in your further development of your leadership skills. Building on this, you will deal with the essential issues of your field, consolidate newly acquired knowledge and grow as a leader.

Core Modules:

• Data Visualization and Management Systems
  • Data Visualization
  • Data Structures and Database Management
• Advanced Statistics
  • Advanced statistics
• Machine Learning
  • Introduction to Machine Learning
  • Advanced Machine Learning Techniques
• Natural Language Processing for Business Applications
  • Text Mining
  • Natural Language Processing

Elective Modules:

• 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

Professional Development Workshops:

• Python
• Statistics
• Econometrics
• Key Skills For a Modern Financial Professionals

Tracks

• Semester Abroad Track (120 ECTS): With the Semester Abroad Track, you gain experience abroad and prepare yourself for an international career. This track comprises the first two semesters at EBS, the third semester abroad at one of our partner universities and concludes in the fourth semester with your thesis.
• Practice Track (120 ECTS): Have you already gained sufficient experience abroad? Then the Practice Track offers you the chance to focus on your practical experience. This track comprises the first two semesters at EBS, one semester for internships and one semester for your thesis. The long and intensive internships can be completed either in the third or fourth semester. The remaining semester is dedicated to your thesis, which may be assigned by a company.
• Accelerated Track (60 ECTS): Accelerate your career. The Accelerated Track gives you the opportunity to shorten the duration of your studies to two semesters. The prerequisite for this track is a Bachelor's degree with 240 ECTS or corresponding professional experience for a degree with less than 240 ECTS.
• Dual Degree: In addition to your degree at EBS Universität, you can obtain a second international degree (MBA or Master). Extend your studies abroad at one of our partner universities by one semester in the Semester Abroad Track and receive a double degree.

Admission Requirements

EBS Universität follows a holistic selection process. We assess the above minimum scores in the context of your overall profile, professional experience and background. There are no application deadlines at EBS. However, to ensure a smooth start to your studies, we recommend that you submit your application before 30 June (start fall term). For international applicants who require a visa, we recommend that you submit your application before 30 May (start fall term).

• A bachelor’s degree and transcripts in any field of study with at least 180 ECTS or an equivalent recognised qualification from an equally recognised institution. An application can also be submitted with a current transcript of records if the bachelor's degree is not yet available.
• Accelerated Track (60 ECTS): A bachelor’s degree and transcripts with at least 240 ECTS or an equivalent recognised qualification. Bachelor's degrees with 180 or 210 ECTS can be considered for the Accelerated Track if they have at least 12 or 6 months of professional experience (full-time) after the Bachelor's degree programme.
• English language certificate (TOEFL® iBT/MyBest TOEFL: minimum 95; IELTS: 7; Duolingo English Test: minimum 125 or an equivalent certificate). Upon proof, if you have completed an undergraduate degree in English, are a native speaker, or have worked for at least 2 years in an English-speaking country, no certificate is required.
• A valid GMAT (either classic or new Focus edition - scores will be based on GMAC's percentile tables), GRE, Business Admissions Test (BAT), EBSgrad Test, Common Admissions Test (CAT).

Tuition Fees and Funding

We focus on the quality of teaching. EBS Universität stands for one of the best management education programmes in the entire German-speaking world. You need to plan the following investment for the Master in Business Analytics at EBS:

• Tuition fees in total (including all fees): Semester Abroad or Practice Track (for 4 semesters): 33,780 euros, Accelerated Track (for 2 semesters): 27,830 euros
• Early enrolment bonus: Reduction of tuition fees by a total of 3,000 euros* for enrolment by 28 February for the fall term of the same year

Characteristics and Skills

If you’re the kind of person who thinks data and numbers aren’t just abstract, but essential for understanding and developing the world, then this might just be perfect for you.

• Quick to grasp complex topics
• Keen to prepare complex material for others so they can understand it and use it to make correct business decisions
• Perspective, oversight, foresight
• Able to dive deep into data and, more importantly, extrapolate influential implications that make a clear contribution to business success

Accreditations

• AACSB accreditation
• Wissenschaftsrat
• Stiftung Akkreditierungsrat

Events for Potential Students

• Online Info Session
• Campus tour
• Campustour
• Online Info-Session
• Consultation/interview appointment
• Campus tour

Lecturers

EBS Universität is one of the leading business universities in Germany, but we are not satisfied with that: our professors aim to make the Faculty of Business Administration as a management-focused business school, a leader in Europe. In the Master's program, professors with many years of practical experience as well as internationally renowned researchers teach. They all work together to shape leaders for the future.

Top Business School

• Founded as a pioneer in 1971
• 13 EBS Alumni in the Forbes 30 Under 30
• 1971: first private business university in Germany

Student Advisory Service

Choosing a course of study is a big decision. It has a strong influence on the whole life that follows. Often studying involves leaving home and is the first step into an independent life of one’s own.

Program Outline

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Degree Overview:

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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.

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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.

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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.

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Outline:

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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

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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.

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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.

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Individual Modules:

• Data Visualization and Management Systems: This module introduces students to the concepts and techniques of data visualization and data management.
Students will learn how to design and implement databases and how to query them using SQL.
• 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.
Students will learn how to develop and implement strategies to achieve organizational goals.
• 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.

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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.

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Teaching:

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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.

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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

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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.

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Careers:

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Potential Career Paths:

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

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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

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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.

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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