Economics and IT
Overview
Projected Job Growth
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Duration of Study
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Annual Average Salary
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Career Opportunities
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Program Description
Economics and IT combines the study of how people, communities, and markets behave with practical digital skills. Students learn basic economic theory, development economics, and how to use information technology to collect, analyse, and present social data. Main topics include microeconomics, macroeconomics, statistics, data handling with spreadsheets, and introductory programming for research. The program prepares you for roles in policy analysis, community development, social research, and positions in NGOs, government agencies, or the private sector. It also creates a strong foundation for further study in economics, social sciences, IT, or data-related fields. This pathway is practical, career-focused, and suited to students who want to use data and social understanding to make a positive impact.
Aims and Objectives
Develop the ability to collect and analyse social and economic data using spreadsheets and basic statistical software, demonstrated by completed projects and reports.
Understand core economic principles and their application to community and national development, shown by written assessments and case studies.
Master clear report writing and presentation of findings for different audiences, measured by assessed presentations and policy briefs.
Create community assessment plans and simple policy recommendations based on field data, validated by supervised fieldwork or simulated exercises.
Why Choose This Program?
High demand in public and development sectors
Graduates are needed by NGOs, government departments, and research institutes that require combined social and digital skills.
Practical, hands-on learning
You learn real research methods and IT tools, allowing you to do field surveys, analyse results, and produce usable reports.
Strong foundation for multiple careers
The mix of economics and IT opens pathways to policy analysis, community development, social work, and further study in data science.
Internship and fieldwork opportunities
Coursework often includes community assessments and placements with local NGOs or district assemblies, giving workplace experience.
Skills Students Will Acquire
Use Microsoft Excel and basic statistical packages such as SPSS or R to organise data, run summaries, and create charts for social research.
Design questionnaires, conduct interviews and use digital survey tools like Google Forms or KoboToolbox to gather community data.
Manage simple datasets and perform basic data cleaning using CSV files, SQL queries, or introductory Python scripts for analysis.
Produce clear written reports, policy briefs, and visual presentations that communicate findings to nontechnical audiences.
Tools and Resources Students Will Use
Microsoft Excel
SPSS or R (open-source statistical software)
Google Forms or KoboToolbox
Jupyter Notebook or basic Python tools
Challenges Students Face and Helpful Tips
Challenges
Difficulty with statistics and quantitative concepts
Tips & Advice
Start with spreadsheet practice, use visual examples, join study groups, and ask teachers for extra exercises.
Video Guide
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