The EDSD is an eleven-month sponsored program that is offered every year aiming to provide students in the first year of their doctoral studies with an appropriate high-level education in demography. Students will acquire a solid knowledge base on the causes and consequences of demographic change, population data, statistical and mathematical demography, as well as modeling, simulation, and forecasting. The School’s courses are structured in such a way that the students work on the precise formulation of a thesis topic and early steps of their dissertations.
Many of the School’s courses concentrate on strengthening the quantitative and programming skills of the students. The language of the School is English.
In the 2019/20 academic year, the School will be held at two different locations. The preparatory courses (September and October 2019) will be offered at the Max Planck Institute for Demographic Research in Rostock, Germany. The core courses (from November 2019 until end of July 2020) will be held at the Centre for Demographic Studies (Centre d’Estudis Demogràfics – CED) at the Universitat Autònoma de Barcelona, Spain.
Master’s Degree in Demography
Upon successful completion of the program and presentation of a thesis, the students enrolled in the EDSD will receive an official European Master in Demography delivered by the Universitat Autònoma de Barcelona.
For more information, visit the current EDSD 2018/19 program in Odense, Denmark: EDSD 2018/2019
Contact information: email@example.com
Preparatory courses in Rostock
The courses in Rostock consists of (1) Measures and Models in Demography, (2) Basic Mathematics for Demographers, (3) Basic Statistics for Demographers and (4) Computer Programming for Demographers.
The aim of the preparatory courses is to prepare the students for the core courses at CED in Barcelona.
Core courses in Barcelona
The program at CED consists of six courses on (1) Causes of Demographic Change, (2) Consequences of Demographic Change, (3) Statistical Analysis for Demographers, (4) Mathematical Demography, (5) Demographic Data and (6) Demographic Modeling, Simulation and Forecasting. In addition, computer, graphic and presentation skills are taught. Students devote 20% of their time to thesis research.
Student will be also offered the opportunity to attend CED’s Social statistics and Population Seminars held weekly.
|WEEK 1 (November 4-7) ||Introduction to Demography an overview. Data Quality and Types ||Albert Esteve|
|WEEK 2 (November 11-14)||Dealing with Data ||Tim Riffe |
|WEEK 3 (November 18-21) ||Historical Demography ||Lionel Kesztenbaum|
|WEEK 4 (November 25-28) ||Fertility, family and the life course (causes)||Daniele Vignoli|
|WEEK 5 (December 2-5)||Fertility, family and the life course (consequences)||Brienna Perelli-Harris|
|WEEK 6 (December 9-13)||Causation||Maarten Bijlsma |
|WEEK 7 (December 16-20)||Event History Analysis 1||Jutta Gampe |
|WEEK 8 (January 13-17)||Event History Analysis 2||Carlo G. Camarda|
|WEEK 9 (January 20-24)||Event History Analysis 3||Carlo G. Camarda |
|WEEK 10 (January 27-31)||Event History Analysis 4||Jutta Gampe|
|WEEK 11 (February 3-7)||Demography and Inequality (Theory and Research).||Diederik Boertien|
|WEEK 12 (February 10-13)||Agent-Based modeling and simulation||Frans Willekens |
|WEEK 13 (February 17-21)||Migration||Elena Ambrosetti |
|WEEK 14 (February 24-28)||Migration and Health||Philippe Bocquier |
|WEEK 15 (March 2-6)||Theories of Migration||Clara Mulder|
|WEEK 16 (March 9-13)||Stable Populations|| Hal Caswell |
|WEEK 17 (March 16-20)||Mortality 1 (causes)||Virginia Zarulli |
|WEEK 18 (March 23-27)||How conditions in early life affect outcomes in later life|| Tommy Bengtsson |
|WEEK 19 (March 30 to April 3)||Digital Demography||Emilio Zagheni|
|WEEK 20 (April 14 to April 16)||Sequence Analysis||Sergi Vidal|
|WEEK 21 (April 20-24)||Measuring the generational economy||Bernhard Hammer|
|WEEK 22 (April 27-30)||Decomposition techniques in health research|| José Manuel Aburto|
|WEEK 23 (May 4-8)||Multilevel Data Analysis||Konrad Turek|
|WEEK 24 (May 11-14)||Mortality 2 (Consequences)||James W. Vaupel|
|WEEK 25 (May 18-21)||Heterogeneous Populations – from discrete to continuous||James W. Vaupel|
|WEEK 26 (May 25-29)||Age-period-cohort Models||Bendix Carstensen |
|WEEK 27 (June 1-5)||Introduction to Population Projections||Marie-Pier Bergeron Boucher|
|WEEK 28 (June 8-12)||Demographic forecasting||Ugofilippo Basellini|
|WEEK 29 (June 15-19)||Alternative measures||Vladimir Canudas Romo |
|WEEK 30 (June 29- July 3)||Thesis work|
|WEEK 31 (July 6-10)||Thesis work|
|WEEK 32 (July 13-18)||Thesis work|
|WEEK 33 (July 20-24)||Final Presentations|
How to apply
To be eligible for admission to the program, a student should hold an above average Master’s degree in demography, mathematics, statistics, public health, economics, sociology, geography, biology, computer science, history or another relevant field.
Participants must have a curious mind and a deep interest in demography and population development either of humans or of species across the tree of life, and a demonstrable competence in English.
EU citizens must have a valid European Health Insurance Card (EHIC) for the duration of the program. In case of being selected as a successful candidate, non-EU citizens will have to apply for student visa in Spain and Health Insurance.
Application deadline is April 15, 2019 for start date in Sept 2019. Successful candidates will be announced in June 2019.
To apply e-mail the following documents to firstname.lastname@example.org:
- CV detailing educational and work history, language abilities, plus any scholarly publications.
- One recent letter of recommendation.
- Motivational letter (up to 5 double-spaced pages) introducing yourself and presenting your professional interests, background (beyond what is obvious from your CV) and plans. Explain how you expect EDSD could promote your future career. Include a detailed description of your quantitative skills (mathematics, statistics, and computer programming).
- Official transcripts and degree certificates of your Bachelor’s and Master’s degrees in English or English translation.
- TOEFL (internet-based: 100, computer-based: 250, paper-based 600) or CAE test scores. Alternatively, a degree taught in English or a declaration of why you are proficient in English.