Singapore University of Social Sciences

Big Data for Socioeconomic Issues

Big Data for Socioeconomic Issues (BUS373)

Applications Open: 01 October 2020

Applications Close: 01 December 2020

Next Available Intake: January 2021

Course Types: Modular Undergraduate Course

Language: English

Duration: 6 months

Fees: To be confirmed

Area of Interest: Business Administration

Schemes: Lifelong Learning Credit (L2C)

Funding: To be confirmed

School/Department: School of Business


Synopsis

BUS373 shows how “big data” can be used to understand some of the key social and economic problems in society. It covers topics, such as social mobility, inequality, life satisfaction, energy, environment, population ageing and technological innovations, etc. Students do not need prior knowledge in these selected topics, but a basic understanding of statistics will facilitate the learning of various methodologies used in the data analysis. This course will provide students with the analytical skills to identify social and economic issues, and evaluate and address them, as well as build their understanding of the practical use of “big data” in the context of social sciences.

Level: 3
Credit Units: 5
Presentation Pattern: Every January

Topics

  • Social mobility and its measures using population survey data
  • Factors affecting social mobility using regression discontinuity design
  • Income inequality and its measures using labour force survey data
  • Income gap decomposition using the Oaxaca-Blinder methodology
  • Happiness and life satisfaction studies and its impact using World Value Survey
  • Factors associated with happiness and life satisfaction using regression analysis
  • Energy-growth nexus studies using the Penn World Table
  • Granger causal analysis of the relationship between energy and economic growth
  • Environment and economic development using World Bank data
  • Population ageing and global ageing data
  • Population ageing trend analysis using population pyramids
  • Artificial intelligence and its impact on the labour market using O*NET

Learning Outcome

  • Examine social mobility issues using quantitative data
  • Discuss factors that are associated with income inequality
  • Assess factors associated with happiness and life satisfaction using World Value Survey
  • Appraise the relationship between energy, environment and economic development using data from the World Bank
  • Employ existing survey data to critique policies addressing the issue of population ageing
  • Show an understanding of both positive and negative effects of technological innovations
  • Apply big data to evaluate current social and economic issues
  • Design a research study to assess determinants of the social and economic issues
Back to top
Back to top