Skip to ContentSkip to Navigation
Over onsFaculteit Ruimtelijke WetenschappenOnderwijsMaster info

Courses double degree master Demography and Social Inequality

What impact did the recent economic crisis have on individuals' living and working conditions, on individuals' study and career choices, on social inequalities and social cohesion? The International Master in Demography and Social Inequality is a Double Degree Programme offered jointly by the faculty of Management, Economics and Social Sciences of the University of Cologne and the Faculty of Spatial Sciences of the University of Groningen.

> Double degree master Demography and Social Inequality


What will you learn?

The programme of the double degree master Social Demography consists of the following courses in 2017/2018. Click on the course title to go to the full course description, information about lecturers, literature and time period. Please note that the courses and course contents might be subject to change in the second year.

University of Cologne, Germany (first year)

For more details of all of these courses, please go to /demography-and-social-inequality/cologne-groningen/

Analysis of Cross-Section Data (9 EC)

In this course students apply regression models for cross-sectional data, using social science enquiries and statistical software packages. They estimate and interpret linear regression models with manifest variables. Students test assumptions in the linear regression model and make suitable adjustments based on the test results. They estimate and interpret non-linear relationships within the context of the linear regression model. Students specify, estimate and interpret logistic regression models. They practise applying the content of the lectures in the exercises, based on concrete examples, and apply empirical social research questions. Students learn how to use statistical software packages.

Lecturer: Univ.-Prof. Dr. Hans-Jürgen Andreß

Special Methods of Analysis (9 EC)

After finishing this course students are familiar with the basics of standard sampling methods and can explain the specific problems posed by traditional standardised surveying techniques used in social science (postal surveys, personal interviews (PAPI and CAPI), telephone interviews (CATI) and online surveys). They can explain the ways in which different data-collection methods can be combined and apply at least one special data-collection method, e.g. non-standardised survey, content analysis, observation, experiment, factorial surveys, process-produced data. Students can explain the requirements for measuring and the statistical assumptions in the models and are proficient in special analysis methods in the field of multivariate statistics. They select the method suitable for a specific problem and apply special analysis methods, and translate sociological questions into statistical or formal models and interpret their results as part of the scientific issue.

Lecturer: Univ.-Prof. Dr. Michael Wagner

Choose one course out of three (6 EC):
Sociological Theories (6 EC)

After finishing this course students understand different sociological theories and explanations at the macro, meso and micro level and can assess game theory models and their application in strategic decision-making situations. They will analyse human decision-making behaviour based on action theories and will be familiar with empirical research designs used in decision research.

Lecturer: Univ.-Prof. Dr. Clemens Kroneberg

Or

Social Structure and Social Inequality (6 EC)

In this course students will learn how social structure analyses are carried out in various areas of society and research. The content includes, for example, theories, models and empirical evidence from the following fields: demographics and population sociology, partnership, family and ways of life, social differentiation, social inequality, network analysis, lifestyle research. Students are introduced to fundamental statistical parameters and the most important data sources for social structure analysis.

Lecturer: Univ.-Prof. Dr. Michael Wagner

Or

Comparitive Social Research (6 EC)

In this course students weigh up different comparative approaches and learn to explain and comprehend general theories concerning the development of macro-structures or nations. They identify and analyse the main historical developments, social constitutions and political economies of various countries. Students will describe and categorise countries based on social indicators and develop hypotheses concerning their influence on citizens’ behaviour. They will be able to explain the problems involved in comparing macro and micro social variables, e.g. attitude and socio-demographic indicators after this course. They will deepen their knowledge of advanced empirical social research methods, establish links between the results of country comparisons and social development theories and discuss possible political conclusions.

Lecturer: Univ.-Prof. Dr. Marita Jacob

Markets, Institutions, Organisations (6 EC)

After finishing this course students will be able to explain the difference between economic and sociological approaches to explaining economic actions and processes. In this course they will analyse the relationship between markets and institutions in sociological and economic business theories. Students will apply fundamental economic sociology concepts, e.g. exchange, networks, organisation, to empirical issues. They will be able to describe the major sociological research on the functioning of markets for goods, capital and labour and explain the major sociological theories regarding the motives behind economic behaviour (consumption, saving, investment). In this course students explore the significance of organisations and institutions for markets.

Lecturer: Univ.-Prof. Dr. Jens Beckert

Analysis of Longitudinal Data (9 EC)

In this course students apply regression models for longitudinal data, using social science enquiries and statistical software packages and estimate and interpret regression models for repeated cross-sections. They estimate and interpret regression models for panel data, regression models for event history data and regression models for other types of longitudinal data.

Lecturer: Univ.-Prof. Dr. Hans-Jürgen Andreß

Choose one course out of three (6 EC):
Social Change (6 EC)

In this course students will analyse social diffusion processes and processes of social change at the macro, meso and micro level, using appropriate theories, data and methods. After this course they will be able to explain theories and models of social change, organisational, association and group change and of the structural determinants of individual change processes. Students will analyse change in selected parts of society, e.g. the education system, family, industry, politics or healthcare and apply longitudinal analysis methods (panel, time-series, cohort and event-history analysis) and discuss them critically. They will be alble to comprehend and assess relevant sources of social science, economic and history data for longitudinal research, and assess the methodological problems concerning the longitudinal comparability of that data. They will analyse past case studies.

Lecturer: Univ.-Prof. Dr. Clemens Kroneberg

Or

Family, Education, Migration (6 EC)

After this course students will be able to identify and comprehend sociological issues in special areas (e.g. labour market, education, family, healthcare, integration/migration, crime, social structure analysis). They will apply sociological theories and methods to analyse these issues in detail. Students will be able to recognise the complexity of social structures and processes and estimate the consequences and side effects of social events and interventions.

Lecturer: Univ.-Prof. Dr. Clemens Kroneberg

Or

Special Aspects of Sociology and Social Research (6 EC)

After this course students will be able to identify and comprehend sociological issues in special areas (e.g. labour market, education, family, healthcare, integration/migration, crime, social structure analysis). They will apply sociological theories and methods to analyse these issues in detail. Students will be able to recognise the complexity of social structures and processes and estimate the consequences and side effects of social events and interventions.

Lecturer: Univ.-Prof. Dr. Clemens Kroneberg

Research Seminar on Social Inequality and Demography (15 EC)

University of Groningen, the Netherlands (second year)

Migration , Families & Households (5 EC)

This course encompasses the three main types of residential relocations: residential mobility, internal and international migration, in relation to family and household dynamics. A life course perspective is used to determine how migration of individuals (at the micro level) is shaped by events in individual lives, such as leaving the parental home, marriage, divorce, child birth and retirement. It also examines how life events of significant others such spouses, children and parents shape migration decisions of the individual. The course contextualizes the manner in which the decision to migrate is influenced by the family and the household (at the meso level) and the housing and labour markets as well as welfare regimes (at the macro level). The course takes a critical view on the inequalities people experience either on migration or due to migration both within and outside family and household settings.

Lecturers: prof. Clara Mulder, dr. Michael Thomas, R. Rutigliano

Contemporary Population Issues (5 EC)

This course handles the most current population issues (such as population decline, ageing and migration flows) on macro and micro context. We will discuss the research that has been done on these topics, but also take it to the level of policy and practice. How are research, policy and practice on population issues related and what can we learn from it? Through discussions, lectures, and group projects, students will learn about population policies and practice and about the role of science in the development, implementation and evaluation of these policies and practice.

Lecturers: dr. Billie de Haas, dr. Tobias Vogt

Population, Health and Place (5 EC)

Health influences every life stage, effects the ageing process, and is shaped by the geographical context. This module is about the dual link between health - both at the individual and population level - and place or geography. In the course, we adopt both a global and a local perspective. At the population (macro) level, we study questions such as: What is the importance of the (geographical) context to population health? What are geographical differences in health and trends therein over time? But also at the individual (micro) level we will unravel the interlinkages between health and the life course. In so doing, we look, for example, at how ageing and health are perceived in different cultural contexts; or at the inequalities that people experience when ageing in a nursing home, or when living with a disability.

Lecturers: prof. Fanny Janssen , dr. Louise Meijering, prof. Hinke Haisma, dr. Tobias Vogt

Working with data in Population Research (5 EC)

The course provides an overview of different demographic data sources, techniques of data collection, and analytical measures. Data sources that we introduce you to include census, register data, and surveys. The covered quantitative and qualitative techniques of data collection include surveys, focus-group discussions, in-depth interviewing, and observation. The concepts, measures and methods used in the analysis of macro-level demographic data that we discuss include population pyramid, rates, probabilities, age standardization, decomposition methods, fertility analysis, mortality analysis and migration analysis.

Focus is on practical issues, such as which data to use for which research question, how to actually obtain demographic data, how to interpret often used demographic measures, and how to conduct demographic analyses.

Lecturers: prof. Fanny Janssen , Mateus Reus Pons , Antje Bieberstein , dr. Billie de Haas,

Life Tables and Population Projections (5 EC)

In this course, students are introduced to three main demographic techniques used in the social sciences: the life table, population projections and survival analysis. After this module, participants (a) know the fundamental ideas behind these techniques, (b) are able to apply the techniques, using Excel and SPSS, (c) can interpret the most important outcomes of the techniques, and (d) know how the life table technique can be applied to a whole range of topics within the social sciences.

Lecturers: Sergi Trias Llimós , dr. Fanny Janssen , prof. Leo van Wissen , dr. T. Emery

Advanced Statistical Analysis (5 EC)

This course focuses on models for the description and analysis of demographic events and social relationships, such as linear regression, logistic regression and event history models. You will obtain substantial knowledge and practical experience concerning statistical models for the analysis of discrete and continuous time processes in life domains such as fertility, employment, migration, and health.

Lecturers: prof. Clara Mulder , dr. Mark van Duijn

Master Thesis Population Studies (20 EC)

The Master's thesis topic is integrated in the research themes of the Population Research Centre or the Netherlands Interdisciplinary Demographic Institute. This comprises topics such as population decline, population ageing, global migration, life of migrants, healthy ageing in society, families, households, residence, causes of death, lifestyle, child health, nutrition, access to health care, place making of elderly. Master thesis seminars, instructions and milestones will be organized for input, feedback and the development of competences and skills. During the National Demographic Conference the students will meet established professionals in the field.

Lecturer: dr. Billie de Haas

Electives (10 EC)

Examples of potentially interesting elective modules are Population & Development, Geographical Information Systems, 'Arbeid en Levensloop'. For an overview of other possible courses within the university, please visit course catalogue Ocasys.


dr. Billie de Haas
dr. Billie de Haas

Programme coordinator

Master Population Studies (Groningen):

Dr. Billie de Haas

Master Sociology and Social Research (Cologne):

Xenia Elbrächter

Laatst gewijzigd:24 januari 2018 10:25