Economics and Computer Science
Overview
Projected Job Growth
N/A
Duration of Study
N/A
Annual Average Salary
N/A
Career Opportunities
N/A
Program Description
Economics and Computer Science combines the study of how people, markets, and communities behave with the practical skills to collect, analyze and model data using computers. You will learn basic economic theory, development and public policy, alongside programming fundamentals, data analysis and database management. Main subjects include microeconomics, macroeconomics, statistics, Python or R programming, and research methods. Graduates can work in research, policy analysis, community development, social services, or continue to study economics, data science or information technology. This program prepares you to use technology to solve social problems, influence policy, and create community projects, giving you flexible career choices and practical skills employers value.
Aims and Objectives
Develop the ability to collect and manage social and economic data using surveys and digital tools, measured by completed field projects.
Master basic programming for data analysis, demonstrated by writing scripts in Python or R to clean and analyze datasets.
Understand core economic theories and apply them to Ghanaian development issues, shown through policy briefs and case studies.
Create clear research reports and presentations, evidenced by assessed research reports and community project documentation.
Why Choose This Program?
High demand for data-literate social analysts
Combines economics knowledge with computing skills, making you attractive to employers in government, NGOs and research institutes.
Practical, real-world learning
You will do field surveys, community assessments and data projects that translate classroom theory into action.
Clear path to diverse careers
Leads to roles in policy analysis, community development, social research, data analysis and further study in economics or IT.
Access to internships and community placements
Opportunities for placements with local NGOs, district assemblies and research centres help build experience and networks.
Skills Students Will Acquire
Using tools like R, SPSS or Stata to summarize data, run regressions and interpret results for policy and research.
Writing scripts in Python or R to clean datasets, automate tasks and produce reproducible analyses.
Designing questionnaires, sampling, collecting field data and ensuring ethical standards during community studies.
Using Excel and basic databases to store, query and prepare data for analysis and reporting.
Tools and Resources Students Will Use
Python (Anaconda distribution)
R and RStudio
Microsoft Excel
SPSS or Stata
Challenges Students Face and Helpful Tips
Challenges
Difficulties with statistics and quantitative concepts
Balancing theory and coding practice
Tips & Advice
Attend extra tutorials, practice with real datasets and use visual tools to build intuition.
Use small weekly coding projects tied to economic topics to reinforce both skills.
Video Guide
Frequently Asked Questions
All your queries answered.