Dr. Marcos Barreto

Associate Professor

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Biography

Marcos Barreto is an Associate Professor of Education at the London School of Economics and Political Science (LSE). He leads the AI KEI strategy and is the Department Lead for Data Science (Education). He teaches subjects such as Databases, Distributed Computing, and Big Data, and coordinates capstone projects for the MSc Data Science programme. His research interests focus on big multimodal data linkage analysis, machine learning, artificial intelligence as applied to healthcare, and socioeconomic data, as well as generative AI tools in education. He is affiliated with the LSE Data Science Institute, where he participates in various teaching and research initiatives. Additionally, Marcos serves as an Associate Researcher at the Centre for Data Knowledge Integration in Health (CIDACS) in Salvador, Brazil, where he develops specialized data linkage tools for designing large-scale population-based cohorts. His extensive experience includes working on international cooperation projects funded by major organizations such as NVIDIA, Google, and the Bill & Melinda Gates Foundation. Marcos earned his PhD in Computer Science from UFRGS, Brazil in 2010, with subsequent postdoctoral research in Health Data Science at the Institute of Health Informatics at University College London from 2016 to 2018. He also holds a Postgraduate Certificate in Higher Education from LSE (2021) and is a Fellow of the UK Higher Education Academy (FHEA).

Research Interests

Requirements for London School of Economics and Political Science

Master Program
Requirements
GPA Requirement
Required:3.5
IELTS
Listening
Required:6.5
Reading
Required:7
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
Prerequisites
Upper second class honours (2:1) degree or equivalent in a relevant social science discipline
Application Checklist
  • Transcripts
  • Statement of Academic Purpose
  • Two academic references
  • CV
Specialization Notes

Standard English requirement applies to most programs in Geography, Anthropology, Sociology, and Media.