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Dr Golo Henseke
UCL Institute of Education, University College London
20 Bedford Way
Dr Golo Henseke profile picture
  • Research Officer (Applied Economist)
  • IOE - Education, Practice & Society
  • UCL Institute of Education

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 Summary

My research cuts across multiple themes in labour and education 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.

Research students

I welcome expressions of interest from potential doctoral students, particularly those with interest in empirically informed research around: 

  • higher education, 
  • skills development and utilisation,
  • job quality, wellbeing and the changing nature of work,  
using numerical data and quantitative methods. 

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.

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