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Köln

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

Degree
Master's
Language of instruction
English
International support
Buddy programme Tutors Specialist counselling

First impressions

Location

Köln

Intake

Winter semester

Duration

4 semesters

Study structure

Full-time

Mode of study

Less than 50% online

Tuition fees per semester

No tuition fees

Application deadline

15 June for the following winter semester

Our voices

What excites me about my studies is that you can find a wide range of opportunities for every pursued career.
By combining current methods from data science, statistics and machine learning with business and economics concepts, you are ideally prepared for both a career in industry and academia.

© Fotostudio Schloen

Richard G.

Student

Master's in Business Analytics & Econometrics – From Data to Insights, University of Cologne

Data analytics, digital innovation and big data are crucial developments for the upcoming challenges in all business and economic areas. This new programme offers a unique blend of traditional analytics and modern analytical approaches and merges these approaches with the teaching of groundbreaking knowledge in the areas of economics, management, and entrepreneurship.

© University of Cologne, Faculty of Management, Economics and Social Sciences

General information

About the course

Degree

Master of Science

Course location

Köln

Language of instruction

English

Languages

All courses are held in English.

Description

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.

Full-time / part-time

Full-time

Duration

4 semesters

Intake

Winter semester

Mode of study

Less than 50% online

Application deadline

15 June for the following winter semester

Tuition fees per semester

No tuition fees

Combined Master's degree / PhD programme

No

Joint degree / double degree programme

No

Further details

Course organisation

An internationally recognised expert faculty offers courses on business administration, econometrics, and information systems within this programme and will assist you even outside the classes.

During the first year of studies, you will learn the Foundation of Data Analytics, Digitalisation, and Data Analytics. 

During your third semester, you have the option to choose between one of two tracks:

The "Econometrics Track" focuses on advanced statistical and analytical methods to identify and resolve complex economic issues in the private, public, and non-profit sectors. This track places a strong emphasis on combining traditional and modern approaches to data analytics.

The "Business Analytics Track" focuses on applying approaches and methods of data analytics to solving complex business problems with (big) data. This track places a strong emphasis on forming a data-driven digital strategy, building a data-driven business model, engaging in digital entrepreneurship, and founding one’s own start-up company.

A Diploma supplement will be issued

Yes

International elements

  • Training in intercultural skills
  • Projects with partners in Germany and abroad
  • International comparisons and thematic reference to the international context
  • International guest lecturers
  • Specialist literature in other languages
  • Language training provided
  • Content-related regional focus
  • Integrated/optional study abroad unit(s)

Integrated/optional study abroad unit(s) outside Germany

Our partnership agreements with an extensive number of excellent partner universities worldwide will provide you with attractive options for your optional semester abroad.

Course-specific, integrated German language courses

No

Course-specific, integrated English language courses

Yes

Online learning

Pace of course

Mixed (e.g. fixed exam dates and duration, study content can be studied at any time)

Phase(s) of attendance in Germany

Yes, compulsory

Costs & requirements

Costs

Tuition fees per semester

No tuition fees

Semester contribution

The semester contribution amounts to approx. 320 EUR per semester. The fee includes a public transport ticket for regional transport throughout Germany ("Deutschlandsemesterticket").

Requirements

Academic admission requirements

Bachelor's GPA of at least 2.5 (German grade)

  • at least 30 ECTS in the fields of Business Administration and/or Economics

  • at least 24 ECTS in the fields of Statistics and/or Mathematics and/or Information Systems and/or Informatics

or

  • at least 48 ECTS in the fields of Statistics and/or Mathematics and/or Information Systems and/or Informatics

Please find detailed requirements here.

Language requirements

Proof of proficiency in English at level B2 CEFR

Application deadline

15 June for the following winter semester

Financing information

Funding opportunities within the institution

Additional support

Career advisory services

Support for international students and doctoral candidates

  • Buddy programme
  • Tutors
  • Specialist counselling

General services and support for international students and doctoral candidates

Contact

University of Cologne

Faculty of Management, Economics and Social Sciences

50931 Köln

Get in touch

About us

University of Cologne

The University of Cologne is a modern university in the heart of Europe. Academic excellence, internationality, and widely varied curricula create a vibrant and inspiring environment for students, scientists, and scholars.

Location

With a population of over one million people, Cologne is the fourth-largest city in Germany and the largest city in the federal state of North Rhine-Westphalia. Located in the heart of Europe on an ancient trade route – the River Rhine – Cologne has been an important trade location since the Middle Ages. Cologne has a booming economic sector that includes commerce, trades, banks, and international corporations. It is one of Europe's most important media hubs and is home to a variety of television and radio broadcasters. Furthermore, Cologne offers many museums, art exhibitions, cinemas, theatres, cultural events, international-level concerts, and, of course, the Cologne Carnival, which is the city's "fifth season".

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