Management Analytics Certificate
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Management Analytics Fundamentals in the Palm of Your Hand
Big Data, Digital Innovation, Business Analytics and Management Analytics are crucial tools for the upcoming challenges for businesses. Digitization is changing the business world fast and fundamentally.
In order to keep up with these developments and leverage them for your company's success, we offer you our flexible and modular Management Analytics Certificate. You can either benefit from the whole intense ten-week program or book single classes to pinpoint and address specific topics in your business. All courses are taught online.
Understand the relevance of Management Analytics for strategic decision-making. Get to know methods and tools for data analysis. Learn how to identify new business opportunities and create value for your own business.
Upcoming Information Events
Key Benefits
Excellence: Theoretically based and practice-oriented learning from Germany’s best business faculty
Cross-disciplinary approach: Lecturers from the areas of Business Administration, Business Informatics and Digitalization
Online learning experience in 2 learning ways: Asynchronous learning experience (pre-recorded lectures, tutorials in R & Python) and synchronous learning experience (virtual classroom, daily discussions led by the lecturer)
Group Work: Participants will meet in virtual group rooms and work in interdisciplinary teams on group projects. The group projects are part of the final grade
Participant Profile: Participants will benefit from a mixed group of international and diverse peers coming from various industries and with different occupational profiles
Course and Module Contents
Analytical and Critical Thinking
Week 2 - Oct. 15-16, 2020
Decision-Making under Uncertainty
Week 4 - Oct. 26-27, 2020
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Data Science for Business Managers II
Week 6 - Nov. 9-12, 2020
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Data Visualization and Storytelling
Week 9.1. - Nov. 30- Dec. 1, 2020
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Each course week comprises these two optional tutorials:
Tutorial - Data Science With R
This introductory course in R is designed to welcome you to the world of data science using R. Knowing this programming language is a valuable competence in any data-related field of work, which is why these three tutorials will provide you with first insights into the true basics of R, as well as fundamental data manipulation and visualization options using base R. The course is designed to guide you through the necessary steps to becoming proficient in R. Watch the videos discussing and illustrating the content of each tutorial, while following along using the R-Code. Hope you enjoy the course!
Tutorial - Data Science With Python
This course introduces you to the foundations of the Python programming language, with a focus on topics that are prerequisites to apply Python in a Data Science context. Due to its ease of use and its wealth of Data Science libraries, Python is a valuable asset in all kinds of data-related tasks. The course is designed to guide you through the necessary steps to learn Python from scratch. The videos introduce new content using illustrative examples of Python code, which are executed interactively in the presentation. Coding exercises are provided to deepen the knowledge of the discussed subjects. Hope you enjoy the course!
Lecturers and Experts
Our courses are taught by high-profile academics, which have gathered extensive knowledge about Management Analytics through their studies and practical experiences. Please find more information on the lecturers in the course desriptions of each module above.
- Prof. Dr. Florian Stahl, Chair holder Quantitative Marketing and Consumer Analytics, University of Mannheim
- Prof. Dr. Goran Glavaš, Assistant Professor (Juniorprofessor) for Text Analytics for Interdisciplinary Research, University of Mannheim
- Prof. Dr. Mark Heitmann, Chair of Marketing & Customer Insight, University of Hamburg
- Prof. Dr. Margret Keuper, Assistant Professor (Juniorprofessor) for Computer Vision and Image Processing, University of Mannheim
- Dr. José Parra-Moyano, Assistant Professor for Blockchain and Digitalization, Copenhagen Business School
- Prof. Dr. Christina Schamp, Assistant Professor for Empirical Research Methods, University of Mannheim
- Prof. Dr. Danja R. Sonntag, Assistant Professor (Juniorprofessor) for Operations Management, University of Mannheim
Admission Requirements and Prices
Admission Requirements:
Coure Courses:
- An academic degree
- Fluency in English
- No prior coding experience required
Tutorials:
- No previous knowledge of R or Python required
Prices:
- Price for Entire Certificate: 12,000 € + 16% VAT
- Price for Single Course Day: 800 € + 16% VAT
Book specific modules or the entire course here!
Please note that we are able to grant a special discount offer to our current participants and MBS alumni:
- Price for Entire Certificate: 9,000 € + 5% VAT
- Price for Single Course Day: 500 € + 5% VAT
In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.
Please register via XingEvents. Upon registration, you will receive a confirmation e-mail.
Management Training for Elite Athletes
Athletes excelling in their discipline and striving to attain the latest knowledge and skills in Management Analytics might receive financial as well as organizational support when booking the whole Mannheim Management Analytics Certificate (MAC). Mannheim Business School and the Elite Student Athletes Scholarship Rhine-Neckar Metropolitan Region (ESASR) offer this scholarship worth 50% of the regular MAC fee of EUR 12,000 for eligible participants. Find out more about ESASR here (in German).
Please get in contact with Manon Jana Pfeifer for more information.
Contact Person
Downloads
- Factsheet Management Analytics Certificate
MANNHEIM BUSINESS SCHOOL (MBS)
Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.
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