Business & Actuarial Studies
Economics and Statistics
This combined program merges economic theory with advanced statistical methods. You will learn how to collect, analyze, and interpret complex data to understand economic trends, forecast market behavior, and inform critical policy or business decisions.
Program objectives
- 01Master foundational microeconomic and macroeconomic principles.
- 02Apply advanced statistical methods to real-world economic and financial data.
- 03Develop proficiency in econometric modeling, forecasting, and data interpretation.
- 04Build critical thinking skills to evaluate economic policies and corporate strategies.
Why choose this program
Highly analytical skill set
Combines two of the most quantifiable, rigorous, and in-demand fields in the modern job market.
Broad career flexibility
Graduates can seamlessly transition into finance, government policy, market research, or data science roles.
Foundation for advanced study
Provides excellent quantitative preparation for master's degrees in economics, data science, or actuarial science.
Skills you'll build
- Econometric modeling
- Statistical analysis and hypothesis testing
- Data forecasting and trend analysis
- Economic theory application
- Critical thinking
- Analytical reasoning
- Clear communication of complex data
- Attention to detail
Tools & software
- R
- Python
- Stata
- SPSS
- Advanced Excel
Challenges to expect
Academic
- Heavy mathematical and statistical workload, especially in advanced econometrics courses.
Technical
- Translating complex statistical outputs into actionable, easy-to-understand business or policy insights.
Personal
- Requires strong patience and persistence when debugging data models, cleaning datasets, or writing code.
Tips from the field
- Start learning R or Python early in your degree; it will make econometrics and data analysis much more manageable.
- Participate in data analysis competitions or seek research assistant roles to build practical, resume-ready experience.
- Focus on understanding the 'why' behind the numbers, not just the mechanical calculations.
Career paths
- Economic analyst
- Data analyst
- Market researcher
- Statistical officer
- Policy advisor
Where you can study this
| Name | Latest cutoff | Tuition (annual) |
|---|---|---|
| Garden City UniversityBSc | — | GHS 4,434.3–4,434.3 |
FAQs
How is this different from a pure Economics degree?+
It adds heavy statistical and econometric training, making you much more technical, data-focused, and equipped for quantitative roles.
Is the math very difficult?+
Yes, it involves calculus, linear algebra, and advanced statistics, so a strong foundational comfort with math is essential.
Can I become a data analyst with this degree?+
Yes, this is one of the most direct and highly regarded pathways into data analytics and business intelligence.
Do I need to learn programming?+
Yes, learning R, Python, or Stata is highly recommended and often required for modern statistical and econometric analysis.
What industries hire graduates of this program?+
Finance, government, tech companies, market research firms, and international development organizations actively recruit these graduates.
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