MSc in Econometrics and Management Science – Specialisation Business Analytics and Quantitative Marketing
Using data science to retrieve hidden information
The need for quantitative support for operational and strategic decisions is ever-increasing. Do you want to help businesses understand their customers better and make smarter decisions? Are maths, statistics and econometrics your forte? Do data science and the use of advanced methods appeal to you? The Business Analytics and Quantitative Marketing programme focuses on the most creative side of data science: converting big data into knowledge, finding opportunities and predicting behaviour.
This challenging programme teaches you how to solve business problems from an econometric point of view, perform quantitative research by using and further developing state-of-the-art data-analysis methods and translate findings into actionable advice.
How many reasons do you need?
At Erasmus School of Economics, we are leaders in quantitative research and renowned for our 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 specialise in Business Analytics and Quantitative Marketing.
Solid (management) decisions in business and marketing increasingly depend on quantitative analysis. Not surprisingly, business analysts are in high demand. For the first step in their careers, our alumni found jobs as a (marketing) researcher or data scientist at organisations like:
ACNielsen, GfK, KPN, Unilever and Bol.com
- smaller specialised consultancy firms
- financial institutions like banks or insurance companies
Such a position is also an excellent stepping stone for a senior research or management position at similar corporations and institutions.
"Obtaining relevant information from very large and complex datasets to support accurate decision-making gives me a kick"
A student in the Business Analytics and Quantitative Marketing MSc learns how to make use of the enormous amount of data that is available in corporations and other organisations to support decision-making in business. Students will be introduced to state of the art research techniques and will, after completion of the program, be able to contribute to new developments in this field.
The programme is made up of seven core courses (every 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 technique or methodology. In the seminar, students form small groups and focus their complete attention to solve an actual business case in eight weeks time. The seminar is usually organised in cooperation with a company. Below you can find the course schedule as well as some additional information on each core course.
- Advanced Marketing Models
- Applied Microeconometrics
- Bayesian Econometrics
- Computer Science for Business Analytics
- Machine Learning
- Multivariate Statistics and Data Visualisation
- Topics in Advanced Statistics
- Case Studies in Business Analytics and Quantitative Marketing
Erasmus School of Economics offers top students the opportunity to take extra courses. These courses will teach you how to apply your academic knowledge when working at renowned organisations that are partners of Erasmus School of Economics.
'Business Analytics and Quantitative Marketing gives you the right tools to become a real treasure hunter in a world of data overload'
Why I chose Business Analytics and Quantitative Marketing?
The moment I started the pre-master of Econometrics (I arrived at Erasmus School of Economics with a little detour), I knew already that I wanted to continue with the specialisation Business Analytics and Quantitative Marketing. This specialisation was the most appealing to me, as this very emerging field has a technical as well as a practical side.
Become a real treasure hunter
It is very challenging to find valuable information in the huge amount of data that is gathered nowadays. As this amount is still increasing, the ability to process the data and draw useful conclusions and plausible predictions out of it is becoming more and more of importance. This programme gives you the tools to do so, to become a real treasure hunter.
Besides the analytical side, it is also important to have a good dose of social skills. You need to be able to explain your approach, convince people that your model is correct and help people to draw the right conclusions and make their process of decision-making easier.
If you like to be challenged, to translate your thoughts into action, to study hard, and if you are motivated: this programme is the way to get the most out of yourself.
'The specialisation Business Analytics and Quantitative Marketing prepares you for a digital, data-driven time'
Strong focus on data analysis, statistics and computer science
Intellectually inspiring, excellent courses and a great starting point for your career. Based on these three themes, the specialisation Business Analytics and Quantitative Marketing prepare you for a digital, data-driven time. Not only do you learn how to work with and analyse big data, but you learn how to use these insights in a business setting as well.
The course has a strong focus on data analysis, statistics and computer science. These skills enable you to analyse and solve the most interesting and challenging problems in business nowadays. The great part of the course is, that you are allowed to implement these skills in your case studies and master thesis, which can both be written at a big company. This way, you get prepared for both an academic and business career.
The labour market is booming
While most econometric careers start in finance, the commercial companies have noticed the advantages and opportunities of big data and analytics. The labour market is booming and companies are eager to hire their new business analyst or quantitative marketing specialists.
The programme Business Analytics and Quantitative Marketing is a great choice for anyone who likes data analytics and wants to be prepared for the digitalization of business!
Cost & Fees
- 2.060 € EEA/EU students *
- 14.700 € NON-EEA/EU students **
*This is the statutory tuition fee for Dutch students, students from another country within the European Economic Area (EEA), the European Union (EU), Switzerland and Suriname who meet the statutory conditions.
**This is the institutional tuition fee for students for whom the statutory tuition fee does not apply. You have to pay the institutional fee if you:
- don’t have an EU-, EEA, Swiss or Surinamese nationality
- have finished a Dutch programme and want to follow another programme on the same level
This school offers programs in:
Last updated November 19, 2018