Marketing Management

Talented students interested in an academic career in Marketing can apply to join the PhD programme in Management at ERIM, a top research institute in Europe. Erasmus University has established a strong reputation for research excellence and PhD supervision in the field of marketing. It is consistently ranked in the top-3 of most productive universities outside of North America (counting publications in the top marketing journals). The department is especially noted for its research excellence. Whereas the faculty members are immensely diverse in their research interests and cultural background, they share the passion for rigorous, high-quality research that has important implications for theory and practice.

The ideal PhD candidate has a strong research background in one of the core disciplines (e.g., psychology, economics, business, statistics or mathematics) and the ambition to pursue an international career as a leading academic. Marketing PhD projects at RSM Erasmus University are generally in one of three areas: consumer behavior, quantitative modeling, or consumer neuroscience. The student will typically be supervised by a team of supervisors, which guarantees excellent support. The topic of the PhD will be defined by the student and the supervisory team and thus requires creativity, self-direction, and passion for scientific research. Importantly, at RSM the PhDs are open to establish research projects also with other faculty members both inside and outside RSM. To this end, our doctoral students are encouraged and funded to conduct extended research visits at the best North American universities. For instance, over the past five years our doctoral students have visited Stanford University, UCLA, University of Chicago, University of Pennsylvania, and University of British Columbia.

The doctoral programme at RSM Erasmus University offers unparalleled support in funding and research facilities. Notably the Erasmus Behavioral Lab is one of the best equipped behavioral laboratories in the world, featuring 28 sound-isolated cubicles, a large subject pool, and several state-of-the-art measurement devices (EEG, eye tracking, video monitoring etc.). Interested candidates are invited to visit the ERIM PhD in Management website for information about application procedures and criteria. They may also contact the coordinator of the PhD Programme in Marketing, Dr. Mirjam Tuk, for more information.

Many of the Marketing Management core faculty also teach in the MBA program. RSM offers a world class full-time MBA as well as several Executive MBA programs. RSM MBA programs focus on developing MBA students with advanced critical-thinking, problem solving, leadership, and communication skills necessary for directing the next generation of diverse and sustainable businesses.

With ever stronger impact of social media, big data, and globalization, now is a very exciting time to begin a career in marketing. Previous generations of marketers actively seek new generation of talent to help them face the challenges of the fast shifting landscape of marketing. Fresh graduates with personal experience and formal training incorporating these newly emerging domains can quickly rise in prominence and make a real impact in their organizations.

This well-established Msc Marketing Management programme has been proven to provide a solid education if you want to pursue a career in marketing-related function, and has a strong reputation for delivering high quality graduates. We make sure all students meet the key demands of the current job market: real-life problem solving skills, international perspective, and leadership, teamwork, and communication skills, while giving them the freedom to follow their passion by designing their own curriculum (i.e. choosing their own electives and thesis topic).

This programme is designed to provide students with the skills to apply data science to solve business challenges. Students have a deep theoretical and practical understanding of business analytics methods to solve data-based business problems. The training on analytics, applied statistics and applied machine learning in the program is driven and taught by domain-area experts, such as marketing statistical modelers, supply-chain modelers and finance modelers with background in both the domain area and in statistical methods.