Research Methods, Data Science, and Mathematics

LSE summer school is a great opportunity and experience, I would definitely recommend it to others and also would do it again any time!
Christoph, University of Vienna, Austria

Methods Summer Programme students in conversation

LSE Summer School offers a unique chance to choose from a range of cutting-edge Research Methods, Data Science and Mathematics courses. LSE has a world-renowned tradition of looking at ideas, problems and challenges from a social sciences perspective, while prioritising applicability and innovation. Students joining us for Summer School have a unique opportunity to experience that tradition. 

Topics explored include machine learning, big data forecasting, social media, and text and network analysis, reflecting the rising demand for professionals with the skills to collect and work with new datasets and conduct meaningful research. Students can engage with this exciting field while gaining these sought-after data science skills, preparing them for careers in a wide range of fields including the financial, government, non-profit and public sectors.

Courses start at £2,500 for one session. See the full fees and payments details here.

Details of the 2020 Research Methods, Data Science and Mathematics courses can be found below:

Courses

Session One (22 June – 10 July 2020)

ME100: Introduction to Calculus
ME116: Essential Statistics for Economics and Econometrics
ME200: Computational Methods in Financial Mathematics 
ME202: Social Network Analysis
ME303: Statistical Methods for Multivariate Data in Social Science Research
 
ME315: Machine Learning in Practice 

Session Two (13 July – 31 July 2020)

ME306: Real Analysis 
ME316: Forecasting Methods for Big Time Series Data
ME318: Theoretical Foundations of Data Science and Machine Learning

Session Three (3 August – 21 August 2020)

ME117: Further Statistics for Economics and Econometrics
ME201: Optimization with Applications in Portfolio Choice
ME301: Survey Research and Data Science
ME302: Introduction to Financial Mathematics
ME305: Qualitative Research Methods
ME310: Experimental and Quasi-Experimental Methods for Evaluating Outcomes
ME314: Introduction to Data Science and Machine Learning
ME317: Statistical Methods in Risk Management

You may also be interested in these courses:

EC320: Applied Econometrics and Big Data

 

Enquire now

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