The course offers a comprehensive training in social network analysis, covering theories, methods and applications of social networks in social sciences. Students will learn the theoretical foundations of social network analysis, the constitutive elements of research design, techniques for data collection, advance methods for social network data analysis and visualization, statistical modelling of social networks and mixed methods. The learning environment will include face to face lectures, computer assisted workshops, and applications of social network theories and methods to a variety of substantive fields in social sciences. With an interdisciplinary combination of lecturers from the Mitchell Centre for Social Network Analysis, who specialise in mathematics, social statistics, sociology and criminology, the teaching team will guide and supervise students in all the aspects related to social network research. Areas of applications include (but are not limited to) online networks, criminal networks, health network, cultural networks, scientific networks, migration networks and academic networks.