MSc in Applied Social Data Science

Page contents > Methodology Options List

Programme code: TMASDS

Department: Methodology

This information is for the 2018/19 session.

Guidelines for interpreting programme regulations
Classification scheme for the award of a taught master's degree (four units)
Exam sub-board local rules

Full-year programme. Students must take two compulsory courses, options to the value of 2.0 units and a capstone project as shown.

Paper

Course number and title

1

MY470

Computer Programming (H) and

Courses to the value of 0.5 units from the following:

MY472

Data Structures, Databases and Data Sharing (H)

ST445

Managing and Visualising Data (H)

2

MY400

Fundamentals of Social Science Research Design (H) and

 

Courses to the value of 0.5 units from the following:

 

MY452

Applied Regression Analysis (H)

 

MY465

Intermediate Quantitative Analysis (H)

 

ST443

Machine Learning and Data Mining (H)

3

Courses to the value of 0.5 units from the following:

 

MY405

Research Methods for Evaluation in Health, Development and Public Policy (H)

MY454

Applied Statistical Computing using R (H)

MY456

Survey Methodology (H)

MY457

Causal Inference for Observational and Experimental Studies (H)

MY459

Quantitative Text Analysis (H)

MY461

Social Network Analysis (H)

ST446

Distributed Computing for Big Data (H)

Or any half-unit course from the Methodology Options List below

 

AND

 

 

Choice of any other 0.5 unit LSE course (including MY) with approval of the academic adviser.

4

MY498

Capstone Project

 

Methodology Options List

MY400

Fundamentals of Social Science Research Design (H)

MY401

Research Design for Studies in Digital Innovation (H)

MY405

Research Methods for Evaluation in Health, Development and Public Policy (H)

MY421

Qualitative Research Methods (H)

MY426

Doing Ethnography (H)

MY427

Qualitative Research with Non-Traditional Data (H)

MY428

Qualitative Text Analysis (H)

MY429

Special Topics in Qualitative Research: Introspection-based Methods in Social Research (H)

MY451

Introduction to Quantitative Analysis (H)

MY452

Applied Regression Analysis (H)

MY454

Applied Statistical Computing using R (H)

MY455

Multivariate Analysis and Measurement (H)

MY456

Survey Methodology (H)

MY457

Causal Inference for Observational and Experimental Studies (H)

MY459

Special Topics in Quantitative Analysis: Quantitative Text Analysis (H)

MY461

Social Network Analysis (H)

MY465 

Intermediate Quantitative Analysis (H)

MY470

Computer Programming (H)

MY472

Data Structures, Databases and Data Sharing (H)

Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the graduate summary page for prospective students. Changes to course and programme information for future academic sessions can be found on the graduate summary page for future students.