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
Pictures
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.
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.
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
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".