The international research Master’s program “Data Analyst for Spatial and Environmental Economics” (DASEE) is a two-year program jointly proposed by the University of Bourgogne and AgroSup Dijon. Its objective is to be a highly specialized and selective Master’s degree program offering an integrated view on urban/regional and environmental issues from an economic perspective, with a particular focus on georeferenced data management and analysis. The students will be trained in economics and econometrics applied to the analysis of spatial and environmental issues. This program emphasizes interactions between economic theories, policy, and practices by focusing on the links between location choices of economic activities and the environment. It provides in-depth training in the design, realization, analysis, and restitution of quantitative studies in spatial and environmental economics.
The DASEE Master’s program will consist of a consecutive four-semester international Master of Science M.Sc.) degree program taught in English. The DASEE program will offer the students an original program structure in France focused on the interrelations between spatial and environmental economics and the analysis of georeferenced data. The course structure consists of five major building blocks: “Spatial economics”, “Environmental economics”, “Fundamentals in quantitative methods”, “Spatial statistics and econometrics” and “Professional training”.
A major focus of the program will be about training the students in the design, realization, analysis, and restitution of quantitative studies in spatial and environmental economics since these skills are essential components in the deployment of territorial economic intelligence activity by local authorities, businesses and engineering offices. The integrative view on spatial and environmental economics, together with a focus on data statistical and econometric analysis are major innovations of this program with respect to other master’s program offered worldwide, that either focus on spatial economics or environmental economics and where the quantitative part is not as developed as in our proposal.
Courses will include the ability to conduct research in spatial economics, environmental economics, and spatial data analysis, from data collection and analysis to synthesis and reporting. Its applied quantitative analytical approach (students will use the software like R, SAS, ARCGIS) to spatial and environmental economics provides the relevant skills to model and solve economic problems on an abstract level and to transfer the analytic solutions to real-world applications. This encourages a flexible and creative approach to complex economic issues like those found typically in the real world.
During the DASEE program, some students will be to do their first year and/or second year internships in prestigious foreign universities (Canada, Spain), supervised by the large network of co-authors and collaborators of the coordinators of the program and the teaching team from LEDI and CESAER.
Studied courses/program curriculum
The Master DASEE is organized in two years. Each year has two semesters.
Semester 1 – 250 hours (30 ECTS)
UE1 Spatial economics: organization and economic dynamics of territories, location strategies
UE2 Environmental economics: Environmental, energy and natural resources economics
UE3 Quantitative techniques: Construction and data analysis
UE4 Spatial statistics and spatial econometrics: Lattice data, point pattern and geostatistics
UE5 Professional training: English or French (depending on students), GIS
Semester 2 – 200 hours (30 ECTS) including an internship
UE1 Environmental and transport economics: transport and environment, seminars in environmental economics
UE2 Quantitative techniques: Econometrics, structural models, panel data econometrics
UE3 Spatial statistics and spatial econometrics: Spatial econometrics, introduction to spatial data science
UE4 Professional training: Project in spatial statistics or spatial econometrics, dissertation or internship abroad
Semester 3 – 230 (30 ECTS)
UE1 Spatial economics: urban economics, economic geography, rural economics
UE2 Environmental economics: Environmental and resource economics, public choice
UE3 Quantitative techniques: Econometrics for qualitative data, quantitative evaluation of public policies
UE4 Spatial statistics and spatial econometrics: Spatial econometrics for panels, spatial econometrics for qualitative variables
UE5 Professional training: Project in spatial statistics or spatial econometrics
Semester 4 – 230 (30 ECTS)
UE1 Spatial statistics and spatial econometrics: Advanced topics in spatial statistics or spatial econometrics, GIS
UE2 Research Internship, master thesis (6 months).
Students with a degree in economics, mathematics, engineering, quantitative geography.
Application procedure DASEE
Students with French diploma should apply through the dedicated application portal from April 26th 2021 to May 24th 2021.
All other applications should be made through the dedicated application portal from January 25th 2021 to June 21st 2021 no matter if you are from a European country, a Campus France country, or any other country worldwide. Application should NOT be made on Campus France website since our university is not connected to Campus France platform. The application procedure is explained on our website. Please use the guidebook to create your application.
Once selected only :
students coming from a Campus France country : you will be required to make your visa application on the « Etudes en France » website following the 3rd option « I am accepted ». Download here the guide with the instructions for Campus France procedure to follow
students coming from any other country : you need to contact the closest French Embassy
non European student, living in a European country : you will need to contact the French Embassy located close to your place of residence.
Countries with a Campus France office :
Algeria, Argentina, Benin, Brazil, Burkina Faso, Burundi, Cameroon, Chad, Chile, China, Colombia, Comoros, Congo, Ivory Coast, Democratic Republic of the Congo, Djibouti, Egypt, Gabon, Guinea, Haiti, India, Indonesia, Iran , Japan, Kuwait, Lebanon, Madagascar, Mali, Mauritania, Mauritius, Mexico, Morocco, Niger, Nigeria, Peru, Russia, Saudi Arabia, Senegal, Singapore, South Korea, Taiwan, Togo, Tunisia, Turkey, United States, Vietnam
We offer grants to students to realize their first-year or second-year research internship in a foreign institution or university. We also offer year scholarships for the best candidates.
Future career prospects
The master’s program will provide the students with a portfolio of academic and practical skills. They will include the ability to conduct research in spatial economics, environmental economics and spatial data analysis either individually or as part of a team through research design, data collection, analysis, synthesis and reporting. They will also include managerial skills relating to the interaction with other people. With the expertise that the students will develop in data analysis applied to spatial and environmental economics, various career perspectives await the students in academics, urban planning, and local development agencies, data science agencies, non-governmental associations, and government.
Courses will be taught by a team of dedicated national and international scientists and researchers in complete connection with their own research in the field. The master’s program is strongly connected with applied research in spatial economics, environmental economics and econometrics developed at the UBFC. Indeed, the coordinators and participants of the master program are all researchers specialized in spatial econometrics, environmental econometrics and spatial econometrics from UBFC. The team is constituted of researchers belonging to two research labs of UBFC: LEDI (Laboratoire d’Economie de Dijon, Economics Lab of Dijon) and CESAER (Centre d’Economie et de Sociologie Appliquées aux Espaces Ruraux, Center of Economics and Sociologie applied to Rural Territories) and all the collaborating external researchers.