MSc in Econometrics and Management Science – Specialisation in Business Analytics and Quantitative Marketing
Rotterdam, Netherlands
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 2,601 **
STUDY FORMAT
On-Campus
* * For EEA. (Non-EEA 1 April 2025)
** Statutory fee: Dutch / EEA students; Institutional fee: Dutch / EEA students: € 14.400; non-EEA students: € 19.950
Key Summary
Introduction
MSc in Econometrics and Management Science – Specialisation in Business Analytics and Quantitative Marketing
The need for quantitative support to optimize operational and strategic decision-making continues to increase. The Business Analytics and Quantitative Marketing program focuses on the most creative side of data science: developing models and techniques to convert big data into knowledge, find opportunities, and predict behavior. Such models and techniques originate from statistics, econometrics, machine learning, or computer science.
This challenging program teaches you how to use the most appropriate quantitative methods when solving business problems and conducting research. This will enable you to apply and further develop effective data-analysis methods and translate findings into actionable advice.
You can go beyond just applying popular techniques, you understand details and will be able to creatively improve methods.
Why study Business Analytics and Quantitative Marketing in Rotterdam?
Erasmus School of Economics is renowned for its quantitative research and high-quality, practice-based teaching methods. Add this to our close ties to the business world and our many successful alumni in the field… and you know why Rotterdam is where you want to specialize in Business Analytics and Quantitative Marketing.
The best example of our practice-based teaching method is the seminar course. In this course, you will participate in a small team of students to complete a business-oriented research problem from start to finish. Each year we select a number of companies to work with.
Admissions
Scholarships and Funding
Several scholarship options are available. Please visit the school website for more information.
Curriculum
As a student in the Business Analytics and Quantitative Marketing master, you learn how to make use of the enormous amount of data that is available in corporations and other organizations to support decision-making in business. You will be introduced to the latest research techniques and will, after completion of the program, have the technical skills to keep up with and contribute to future developments in this field.
The program is made up of 7 core courses (each 4 ECTS), a seminar (12 ECTS), and the master's thesis (20 ECTS, including the master's thesis proposal). Each core course focuses on a particular set of techniques or a methodology. In the seminar, students form small groups and focus their complete attention on solving an actual business case. The seminar is organized in cooperation with a number of companies.
The curriculum consists of:
- 20% Statistics
- 30% Econometrics
- 20% Machine learning & Computer Science
- 30% Seminar
As the curriculum shows, this program has a technical focus. You will study the mathematical and statistical details of modern methods with applications in marketing and business in the broad sense.
Course Overview
- Take-Off Master
- Microeconometrics
- Bayesian Econometrics
- Machine Learning
- Multivariate Statistics
- Advanced Marketing Models
- Computer Science for Business Analytics
- Topics in Advanced Statistics
- Seminar Case Studies in Business Analytics and Quantitative Marketing
- Master's Thesis Proposal E&MS
- Master's Thesis Business Analytics and Quantitative Marketing
Program Outcome
Credits: 60 ECTS
Master of Science
Program Tuition Fee
Career Opportunities
Solid (management) decisions in business and marketing increasingly depend on quantitative analysis. Therefore, many companies seek the support of data scientists and marketing analysts to make smarter business decisions. Not surprisingly, data scientists and business analysts are in high demand. For the first step in their careers, most of our alumni found jobs within two months after graduation. They are working as a (marketing) researcher, consultant, or data scientist at organizations like:
- MIcompany, KPN, Vodafone, Unilever, Ahold Delhaize, Coolblue and Bol.com
- Consultancy firms: general or specialized consultancy firms like McKinsey & Company, Accenture, Deloitte, and EY
- Financial institutions: banks (ING, Knab) and insurance companies (Allianz, Nationale Nederlanden, FBTO)
- Academia.
Such positions are also excellent stepping-stones for a senior research or management position at similar corporations and institutions.