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Universität zu Köln
Master English Law & Economics

Master's in Business Analytics & Econometrics – Master of Science

Master

About the Program

Data analytics, digital innovation and big data are crucial developments for the upcoming challenges in all business and economic areas. This programme offers a unique blend of traditional analytics (e.g. statistics, econometrics, optimisation, simulation) and modern analytical approaches (e.g. machine learning and artificial intelligence using R and Python) and merges these approaches with the teaching of groundbreaking knowledge in the areas of economics, management, and entrepreneurship. This programme provides you with: fundamental analytics and technology skills groundbreaking knowledge and the mindset for a successful career in data analytics for business and economics vital skills for starting and managing a business in the digital age and resolving complex issues in today’s organisations an ability to gather, manage, and analyse (big) data as well as to visualise, present, and use insights gained from the data Preparing you for future challenges We believe in the right balance between sound theoretical foundations and practical relevance in a close interaction between the fields of business, analytical methods, and digital technologies. The programme therefore focuses on: modern technologies and digitalisation (e.g. big data, digital innovation, digital transformation, digital business strategy, and digital entrepreneurship) the latest tools and methods in data analysis (e.g. machine learning and AI or methods from econometrics as well as Bayesian data analysis) tackling challenges arising from digitalisation (e.g. data privacy and security, algorithm ethics) As a highlight of the curriculum, the Capstone Project brings you together with corporate/public partners to solve real-world business, economic and societal problems. Over a period of one semester, you will work as a team using cutting-edge approaches to data analytics in order to solve these problems, all while interacting within your team and with your partner organisation.
Show the original English text
Data analytics, digital innovation and big data are crucial developments for the upcoming challenges in all business and economic areas. This programme offers a unique blend of traditional analytics (e.g. statistics, econometrics, optimisation, simulation) and modern analytical approaches (e.g. machine learning and artificial intelligence using R and Python) and merges these approaches with the teaching of groundbreaking knowledge in the areas of economics, management, and entrepreneurship. This programme provides you with: fundamental analytics and technology skills groundbreaking knowledge and the mindset for a successful career in data analytics for business and economics vital skills for starting and managing a business in the digital age and resolving complex issues in today’s organisations an ability to gather, manage, and analyse (big) data as well as to visualise, present, and use insights gained from the data Preparing you for future challenges We believe in the right balance between sound theoretical foundations and practical relevance in a close interaction between the fields of business, analytical methods, and digital technologies. The programme therefore focuses on: modern technologies and digitalisation (e.g. big data, digital innovation, digital transformation, digital business strategy, and digital entrepreneurship) the latest tools and methods in data analysis (e.g. machine learning and AI or methods from econometrics as well as Bayesian data analysis) tackling challenges arising from digitalisation (e.g. data privacy and security, algorithm ethics) As a highlight of the curriculum, the Capstone Project brings you together with corporate/public partners to solve real-world business, economic and societal problems. Over a period of one semester, you will work as a team using cutting-edge approaches to data analytics in order to solve these problems, all while interacting within your team and with your partner organisation.

Application Requirements

Dil: B2 CEFR seviyesinde İngilizce yeterlilik kanıtı

Language Requirements

B2 CEFR seviyesinde İngilizce yeterlilik kanıtı

Required Documents

Başvuru adresi: https://wiso.uni-koeln.de/en/studies/application/master/master-business-analytics-and-econometrics?mtm_campaign=PortalDAAD-business-analytics-application

Aşağıdaki kış dönemi için 15 Haziran, aşağıdaki kış dönemi için 15 Haziran

Which Professions Does This Program Open Up?

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Subjects / Topic Areas

Business Mathematics

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Frequently Asked Questions

Quick answers about Master's in Business Analytics & Econometrics – Master of Science at Universität zu Köln

Is Master's in Business Analytics & Econometrics – Master of Science at Universität zu Köln taught in German or English?

This Master programme is taught in English. Make sure to check the language requirements (e.g. TestDaF, DSH, IELTS or TOEFL) before applying.

How much does the Master's in Business Analytics & Econometrics – Master of Science programme cost?

No tuition fee (only semester contribution). International students should also budget around 800–1000 EUR/month for living costs in Germany.

What are the admission requirements for Master's in Business Analytics & Econometrics – Master of Science at Universität zu Köln?

Typical requirements include: a recognised secondary/undergraduate degree, proof of language proficiency (English), and (for non-EU applicants) a uni-assist application plus financial proof (Sperrkonto ~11.904 EUR/year).

When is the application deadline?

Application deadlines vary: winter semester usually closes on 15 July, summer semester on 15 January. Always confirm the exact deadline on the official university website.

Can I work in Germany while studying Master's in Business Analytics & Econometrics – Master of Science?

Yes. International students may work up to 140 full days / 280 half days per year without additional permission. After graduation you can apply for an 18-month job-seeker permit.

How do I apply to Universität zu Köln — directly or via uni-assist?

Most German universities accept international applications through uni-assist for document verification. Some unis accept direct applications — check the programme page on the official site.

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