Please report any queries concerning the funding data grouped in the
sections named
"Externally Awarded"
or
"Internally Disbursed"
(shown on the profile page) to your Research Finance Administrator.
Your can find your Research Finance Administrator at http://www.ucl.ac.uk/finance/research/post_award/post_award_contacts.php
by entering your department
Please report any queries concerning the student data shown on the
profile page to:
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Email: portico-services@ucl.ac.uk
Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
› More
search options
Dr Golo Henseke
706
UCL Institute of Education, University College London
20 Bedford Way
London
WC1H 0AL
Appointment
- Research Officer (Applied Economist)
- IOE - Education, Practice & Society
- UCL Institute of Education
Role
UCL Subsidiary Supervisor
Biography
I am an applied economist with a multi-disciplinary social science background. Before joining the Centre for Research on Learning and Life Chances at UCL Institute of Education in 2014 as Research Officer, I worked as research assistant and teaching fellow in Germany. Since 2016, I hold in addition a part-time position at the new ESRC-funded Centre for Global Higher Education at the Institute.
Research Groups
Research Themes
See
More
See
Less
Research Summary
My research cuts across multiple themes in labour economics. Among others, it illuminates patterns and determinants of heterogeneity in graduate outcomes in the labour market and beyond, examines the role of school quality on job outcomes over the lifecycle and analysis the relation of job quality with workers' health and wellbeing.
Teaching Summary
Module leader of An Introduction to Applied Quantitative Analysis (BA Education Studies):
This hands-on, application-driven introduction to quantitative research aims to give students the tools to scrutinize, conduct and present basic statistical analyses in the social sciences and education studies. Building on the first-year teaching, the course will introduce statistical concepts, issues surrounding the quantitative measurement of social science concepts, and research applications through relatable, real-life case studies. Lectures will be supported by a computer-facilitated seminar series using Excel to further your quantitative analysis skills.
Module leader of Quantitative Analysis 1:
Quantitative Analysis 1 is for beginners in statistics and is part of the Advanced Methods Programme for research students at UCL Institute of Education. It provides a thorough grounding in descriptive methods, elementary inferential statistics and an introduction to modelling continuous data using linear regression.
