[Fwd Summer 2024] Mannheim MBS Summer School 2024
Our summer school is scheduled to run from June 24 to July 12, 2024, offering a unique blend of current business insights and a deep dive into cultural understanding.
During this program, students will have the chance to:
During this program, students will have the chance to:
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connect with graduate and advanced undergraduate business students from across the globe
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benefit from a world-class faculty that will inspire their academic journey
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gain insights into the intricacies of German business practices and culture
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explore one of the world's largest and most successful economies
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network with experienced business professionals from leading global corporations
Just click on the button below to explore further details about the MBS Summer School 2024.
MBS Summer School 2024 at a glance:
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Time of program: June 24 - July 12, 2024
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Target group: graduate and advanced undergraduate business students
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Number of participants: maximum of 30 students per module
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Structure: three modules taking place one after another & can also be attended individually
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Form of assessment: active class participation, in-class examination
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Credits: 3 ECTS per module
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Language: English
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Application deadline: April 30, 2024
Students can apply for either one or more modules to be part of the unique summer school experience.
Program offerend at MBS Summer School 2024
Module 1: Entrepreneurship and Innovation - Crowdfunding
June 24 - 28, 2024
Module 1: Entrepreneurship and Innovation - Crowdfunding
June 24 - 28, 2024
This module concentrates on the supplying students with a deep understanding of the theoretical foundations of entrepreneurship and practical tools to create ideas and start their own business in the digital age. Light is also shed on digital forms of entrepreneurship, especially crowdfunding and crowd interaction, competitive positioning and advantage in entrepreneurial firms, and strategic dimensions of recent developments in the market such as digitialization and their implications for new ventures, family firms, and business models
Module 2: Articial Intelligence in Business
July 01 - 05, 2024
Artifical intelligence (AI) is rapidly emerging as the most important and tranformative digital technology of our time. Hence, it is important for future managers to understand this techology. Students will understand the different types of machine learning as fundamental concepts of AI plus they will be able to develop strategies of leverage AI for value creation in business settings and apply related tools and techniques. They will be aware of limitations, pitfalls and potential countermeasures when using AI.
July 01 - 05, 2024
Artifical intelligence (AI) is rapidly emerging as the most important and tranformative digital technology of our time. Hence, it is important for future managers to understand this techology. Students will understand the different types of machine learning as fundamental concepts of AI plus they will be able to develop strategies of leverage AI for value creation in business settings and apply related tools and techniques. They will be aware of limitations, pitfalls and potential countermeasures when using AI.
Module 3: Designing Data-Driven Business Models
July 08 - 12, 2024
Despite an enormous amount of business-relevant data generated every day, many managers and top executives still rely on conventional wisdom or intuition to guide their decisions. In this course, participants will learn key principles of business analytics and recent technological developments that allows them to understand how to turn data into insights, better decisions, and enhanced corporate value. Participants will learn techniques they need to transform an organization into a data-driven organization and apply their knowledge by developing a suitable data-driven business model for a specific company.
July 08 - 12, 2024
Despite an enormous amount of business-relevant data generated every day, many managers and top executives still rely on conventional wisdom or intuition to guide their decisions. In this course, participants will learn key principles of business analytics and recent technological developments that allows them to understand how to turn data into insights, better decisions, and enhanced corporate value. Participants will learn techniques they need to transform an organization into a data-driven organization and apply their knowledge by developing a suitable data-driven business model for a specific company.
Cost
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Total fee for booking one module: EUR 990
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Total fee for booking two modules: EUR 1,900
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Total fee for booking three modules: EUR 2,700
Prices are per person and include value-added tax.
If we do have to cancel any module due to a lack of participants, Mannheim Business School will reimburse the complete participation fee. Mannheim Business School will not be held responsible for any other financial damage caused for a participant by a cancellation.
Learn More: Website
Important note: To receive information related to possible scholarship opportunities, please notify OIA by sending an email to oia.outbound@mail.nsysu.edu.tw that includes the following information.
(1) your name in Chinese & English (matching your possport);
(2) student ID number;
(3) department/faculty and academic level;
(4) mobile phone nubmer;
(5) any proofs of English proficiency test scores
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