Economics with Computer Science
Overview
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Program Description
Economics with Computer Science combines the study of human behaviour, markets, and public policy with practical computing and data skills. You will learn core economic theory, statistics, econometrics, plus programming, databases, and data analysis. Main subjects include Microeconomics, Macroeconomics, Econometrics, Introduction to Computer Science, Programming for Data Analysis, and Policy Evaluation. Graduates can work as policy analysts, community development officers, economic researchers, data analysts for government or NGOs, or support social programmes with tech-driven solutions. This programme prepares you to use data to solve social problems, influence policy, and improve community outcomes, giving you flexible skills in both social science and technology. It is a strong choice if you enjoy numbers, social issues, and practical problem solving.
Aims & Objectives
Develop the ability to apply economic theory to analyse social and community issues in Ghana, measured by coursework and case studies
Master programming in Python and use R for statistical analysis, demonstrated by completed data projects
Understand research design and conduct at least two supervised surveys or empirical studies, assessed by project reports
Create clear, evidence-based policy briefs and reports, evaluated through assessed assignments and presentations
Why Choose This Program?
Blend of Social Insight and Technical Skill
You learn social science thinking together with data and programming skills, making you able to analyse social problems and propose tech-informed solutions.
Strong Career Demand
Employers in government, NGOs, banks, and development agencies seek graduates who can translate data into policy, research, and program design.
Practical, Project-Based Learning
Courses include hands-on projects, field surveys, and internships that build real experience for CVs and job interviews.
Versatility Across Sectors
Skills transfer to roles in policy analysis, community development, economic research, and entry-level data roles in private and public sectors.
Skills & Tools
Skills You'll Develop
Use R or Stata to run regressions, hypothesis tests, and interpret results for social and economic research.
Write Python code with pandas and numpy to clean, transform, and analyse datasets from surveys and administrative sources.
Store and query survey and administrative data using SQL to prepare datasets for analysis.
Create charts and dashboards with tools like matplotlib, seaborn, or Excel to communicate findings to policymakers and communities.
Tools & Resources
Python with pandas and numpy
R (RStudio)
Stata or SPSS
Microsoft Excel
Challenges & Tips
Challenges
Struggling with quantitative subjects like econometrics and programming.
Balancing theory with practical projects.
Tips & Advice
Start early, attend tutorials, form study groups, and use online tutorials to practice step by step.
Plan project timelines, break tasks into small milestones, and seek supervisor feedback regularly.
Video Guide
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