Master of Science in Marketing Analysis

The goal of this programme is to create specialists in the domain of marketing analysis to support business marketing strategy and marketing decisions of the firm.

As a result, the profile of a typical MScMA graduate consists of three cornerstones:

- Analytical mindset with a strong interest in data;

- Hands-on experience that can readily be applied in business;

- The ability to translate complex marketing decision models to a business environment.

 

The programme has been training students since 1999, which makes it the longest-running (predictive) analytics programme in the world. The programme addresses the needs of companies for better-educated staff with strong skills in the domain of analytical customer relationship management and marketing analytics. Thanks to information technology and the availability of market data both at the demand side (customer information, e.g. scanning data …) and supply side (internal information about marketing actions competitors ...), marketing as a discipline has evolved from a qualitative to a more quantitative discipline.

 

As a result, there is a strong need in the marketplace for people able to:

- control and cope with the huge amount of available data;

- generate and use models to translate these raw data into useful marketing information.

 

These people will be the interface between company management (e.g. product manager, marketing manager) and the suppliers of marketing data within the organisation.

Currently, marketing departments are not facing the problem how to obtain marketing data, but rather how to transform these massive amouns of date into useful marketing information and systems.

 

The focus of the programme is on analytical customer relationship management. We train students in the theoretical underpinnings but the main focus is on the practical skills of managing customer databases:

- acquisition (identifying and attracting new customers);

- cross/up-selling (profitable usage stimulation);

- retention (identifying customers who intend to attrite/churn and trying to keep profitable customers;

- recapturing 'lost' customers.

 

Since 2014, the programme also includes specific courses on social media and web analytics, pricing and revenue management, and big data (Hadoop, Spark) technology.

Opbouw

There are three mandatory courses in the first semester. Besides this, the students choose three out of the four available optional courses. From January on, the number of courses decreases significantly, enabling participants to fully concentrate on the project. Visit our blog for more up-to-date detailed information (www.mma.UGent.be, click on the link to our blog) or alternatively visit http://mmacrm.wordpress.com.

Master's dissertation
The master's dissertation of the Master of Science in Marketing Analysis consists of a real-life project for a company dealing with a specific marketing issue. A list of previous projects can be obtained from: www.mma.UGent.be/Projects.htm

Arbeidsmarkt

The choice of engaging in a specific advanced master’s programme is, even more than a master’s programme, related to the question: “Which job(s) will I be trained for?”. Fortunately, there is a broad variety of jobs for which students are trained. About equal proportions of MMA, graduates are currently working in different areas of Business Analytics. Our graduates have made important contributions in the business world; at least two are CEOs of sizeable organisations. Fifteen MScMA graduates have pursued academic research careers and completed their PhDs (+ five are currently in progress). Five MScMA+PhD graduates have become analytics (assistant/associate) professors. In order to offer potential students more insights into the variety of functions, companies, industries, and even countries where MMA-graduates are already present, some former students were very willing to share their experiences in this programme with - possibly - their future colleagues … Their testimonials can be found at www.mma.UGent.be/mma.pdf (see middle section).

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