9 answers
Lubnah
Student
Port Louis, Mauritius
1
Question
Asked
1463 views
what can i do further in my career having economics, business and maths as the main subjects for a levels?
I got a B in economics, a C in business, and a B in Add Math, and an A in Maths for my O levels. I'm thinking of doing something related to economics. However, I am not so sure because I am an average student, and I do not even know what jobs I can get with these subjects. I was just told that doing math will help me a lot. Somebody, please help!
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9 answers
Aisha Taylor
Mortgage Closing Specialist
505
Answers
Detroit, Michigan
Updated
Aisha’s Answer
Hi Lubnah,
It's great that you're curious about career options with your subjects. Studying economics, business, and math opens up many exciting paths for you. Don't worry about being "average"—your grades show you have a strong foundation. Here are some career ideas you might like:
Economics Careers:
- Economist: Analyze economic trends for governments or companies.
- Data Analyst: Use math to understand business and economic data.
- Financial Analyst: Look at investments and market trends.
- Policy Analyst: Work on economic policies for governments or think tanks.
- Market Research Analyst: Study consumer habits for businesses.
Business Administration Careers:
- Business Analyst: Help improve business processes.
- Operations Manager: Manage daily business activities.
- Management Consultant: Advise companies on strategies.
- Human Resources Manager: Handle hiring and employee relations.
- Supply Chain Manager: Oversee logistics and operations.
Finance & Accounting Careers:
- Accountant/Auditor: Use your math skills in finance.
- Actuary: Assess risks using math and stats.
- Investment Banker: Advise on financial deals.
- Tax Specialist: Assist with tax planning.
Other Opportunities:
- Business Statistician: Mix math with business insights.
- Quantitative Analyst: Use advanced math in finance or tech.
- Management Accountant: Combine accounting with business strategy.
Next Steps:
1. Think about further education in economics, business, finance, or math.
2. Keep improving your math skills—your A in Math is a big plus.
3. Get practical experience through internships or part-time jobs.
4. Explore certifications in accounting or business.
5. Talk to professionals in fields that interest you for real-world advice.
Your subjects have a lot of value, so keep exploring what interests you. You're on the right track by asking these questions!
It's great that you're curious about career options with your subjects. Studying economics, business, and math opens up many exciting paths for you. Don't worry about being "average"—your grades show you have a strong foundation. Here are some career ideas you might like:
Economics Careers:
- Economist: Analyze economic trends for governments or companies.
- Data Analyst: Use math to understand business and economic data.
- Financial Analyst: Look at investments and market trends.
- Policy Analyst: Work on economic policies for governments or think tanks.
- Market Research Analyst: Study consumer habits for businesses.
Business Administration Careers:
- Business Analyst: Help improve business processes.
- Operations Manager: Manage daily business activities.
- Management Consultant: Advise companies on strategies.
- Human Resources Manager: Handle hiring and employee relations.
- Supply Chain Manager: Oversee logistics and operations.
Finance & Accounting Careers:
- Accountant/Auditor: Use your math skills in finance.
- Actuary: Assess risks using math and stats.
- Investment Banker: Advise on financial deals.
- Tax Specialist: Assist with tax planning.
Other Opportunities:
- Business Statistician: Mix math with business insights.
- Quantitative Analyst: Use advanced math in finance or tech.
- Management Accountant: Combine accounting with business strategy.
Next Steps:
1. Think about further education in economics, business, finance, or math.
2. Keep improving your math skills—your A in Math is a big plus.
3. Get practical experience through internships or part-time jobs.
4. Explore certifications in accounting or business.
5. Talk to professionals in fields that interest you for real-world advice.
Your subjects have a lot of value, so keep exploring what interests you. You're on the right track by asking these questions!
rick newberg
Owner/ retired
1
Answer
Williamsburg, Virginia
Updated
rick’s Answer
Economics is a fascinating study of human behavior; however, the degree is not very powerful without at least a Master's degree. The advanced degrees require quite strong mathematical skills, especially Calculus. If you have this great.
Alternatively, if you "minored" in Economics you could develop an understanding of what causes behavioral changes in people and societies from the wealth aspect; both, financial and social. This will be a great asset as you make balanced decisions in your career and your personal life.
Alternatively, if you "minored" in Economics you could develop an understanding of what causes behavioral changes in people and societies from the wealth aspect; both, financial and social. This will be a great asset as you make balanced decisions in your career and your personal life.
David E. Patnaude
Director of Facilities
16
Answers
Scarsdale, New York
Updated
David E.’s Answer
With your current academic framework, I would recommend that you study engineering with a minor in either business or economics. Many of the best people in economics have degrees in engineering. Studying engineering will strengthen your math skills and depth of knowledge, and then backing that with either a minor in business or economics will indicate to future employers your depth of knowledge in both engineering and how a business operates. Another plus to having a degree in engineering is that you will always be employed, versus a pure career in finance. People who work purely in finance often find themselves unemployed with the ups and downs of the markets and the economy at large. Engineers stay employed through the ups and downs.
Chriss Peck
Executive Assistant
8
Answers
Glendale, Arizona
Updated
Chriss’s Answer
You’re actually in a better position than you think, so take a breath first 😊. Economics, Business, and Maths together are a strong and very flexible combination, even if you feel like an average student right now.
First: your grades are not a dead end
B in Economics → solid foundation, especially if you enjoy understanding how markets and money work
A in O-Level Maths + B in Add Math → this is a big advantage; maths opens many doors
C in Business → not ideal, but absolutely not a career stopper
Universities and employers care much more about skills + direction than being a “top” student at A-levels.
Career paths you can realistically consider
1. Economics-related paths
If you’re interested in economics, you can continue with it:
Economics / Applied Economics (undergraduate degree)
Business Economics
Development Economics
Environmental or Infrastructure Economics
Jobs later on could include:
Economic analyst (junior level)
Research assistant
Policy or planning assistant
Market research analyst
Data or business analyst (with extra skills)
You don’t need to be a genius—just consistent and willing to learn.
2. Business + Economics routes (very common & practical)
If pure economics feels too abstract:
Business Administration
Management
Finance
Accounting
Marketing / Market Research
Supply Chain & Operations
Jobs include:
Business analyst
Management trainee
Finance or accounts executive
Operations or planning roles
Consulting (later, with experience)
3. Math-based options (this is why people say maths helps)
Your maths background is a real strength. With some improvement in statistics or software, you could go into:
Data Analytics
Actuarial Science (challenging, but possible if you commit)
Finance & Banking
Econometrics
Statistics
These often lead to better-paying and more stable jobs, especially if you build skills in Excel, Python, R, or Power BI.
4. Practical, skill-focused careers (great for “average” students)
If you’re worried about heavy theory:
Business analytics
Market research
Operations & logistics
Project coordination
Banking and financial services
Government or public-sector roles (planning, statistics, policy support)
These value applied skills + experience, not just grades.
What you should do now
Choose a broad degree (Economics, Business Economics, Business/Finance)
Strengthen maths & stats – this will set you apart
Learn practical tools:
Excel (advanced)
Basic statistics
Data tools (Power BI / Python later)
Do internships, online projects, or short courses
Stop comparing yourself to “top students” — consistency beats talent long-term
You are not stuck, and you are not behind. Many people with similar or even weaker grades go on to solid careers in economics, business, finance, and analytics. Maths really does help—but only if you use it to build practical skills.
First: your grades are not a dead end
B in Economics → solid foundation, especially if you enjoy understanding how markets and money work
A in O-Level Maths + B in Add Math → this is a big advantage; maths opens many doors
C in Business → not ideal, but absolutely not a career stopper
Universities and employers care much more about skills + direction than being a “top” student at A-levels.
Career paths you can realistically consider
1. Economics-related paths
If you’re interested in economics, you can continue with it:
Economics / Applied Economics (undergraduate degree)
Business Economics
Development Economics
Environmental or Infrastructure Economics
Jobs later on could include:
Economic analyst (junior level)
Research assistant
Policy or planning assistant
Market research analyst
Data or business analyst (with extra skills)
You don’t need to be a genius—just consistent and willing to learn.
2. Business + Economics routes (very common & practical)
If pure economics feels too abstract:
Business Administration
Management
Finance
Accounting
Marketing / Market Research
Supply Chain & Operations
Jobs include:
Business analyst
Management trainee
Finance or accounts executive
Operations or planning roles
Consulting (later, with experience)
3. Math-based options (this is why people say maths helps)
Your maths background is a real strength. With some improvement in statistics or software, you could go into:
Data Analytics
Actuarial Science (challenging, but possible if you commit)
Finance & Banking
Econometrics
Statistics
These often lead to better-paying and more stable jobs, especially if you build skills in Excel, Python, R, or Power BI.
4. Practical, skill-focused careers (great for “average” students)
If you’re worried about heavy theory:
Business analytics
Market research
Operations & logistics
Project coordination
Banking and financial services
Government or public-sector roles (planning, statistics, policy support)
These value applied skills + experience, not just grades.
What you should do now
Choose a broad degree (Economics, Business Economics, Business/Finance)
Strengthen maths & stats – this will set you apart
Learn practical tools:
Excel (advanced)
Basic statistics
Data tools (Power BI / Python later)
Do internships, online projects, or short courses
Stop comparing yourself to “top students” — consistency beats talent long-term
You are not stuck, and you are not behind. Many people with similar or even weaker grades go on to solid careers in economics, business, finance, and analytics. Maths really does help—but only if you use it to build practical skills.
Marty Meyer
General Manager
62
Answers
Los Angeles, California
Updated
Marty’s Answer
Econ, Math and Business are a fast forward to a career in Business - they're foundational for everything that business leaders care about in every organization. You can search all the choices and go from there, I think there will be an industry that will capture your heart.
Good for you for making great choices - you can't help but succeed. Marty
Good for you for making great choices - you can't help but succeed. Marty
Jerome Dees Jr.
Sales Professional and Networking Expert
833
Answers
San Francisco, California
Updated
Jerome’s Answer
Your grades aren’t the only indicator of how well you will do in a field. My grades early on were far from spectacular, but I’ve carved a pretty amazing career out for myself. If you have a passion for a field, I’d say go after it and see what happens
S I
Finance
28
Answers
San Francisco, California
Updated
S’s Answer
Studying economics, business, and math gives you a solid and adaptable base. These subjects open doors to careers in business management, finance, accounting, consulting, analytics, or economics. You don't have to be the best student to do well; employers often value skills and experience more. If you're uncertain, go for a broad degree or apprenticeship. Start gaining internships or part-time work early on, and adjust as you discover what you like. It's common for many to find their path after A-levels, so don't worry if you're still figuring things out.
Marisa M
Resource Management
2
Answers
New York, New York
Updated
Marisa’s Answer
Hi Lubnah!
Great question to ask. I applaud you for even thinking about this as a student. Economics and business go hand in hand now, so I think anything that allows you to think strategically would be great. Once you add math in there, you could totally look into roles as a business/data analyst in many areas like Finance, Marketing, Operations, etc. Most businesses love this skillset as companies like to know things like how they can make more profit and/or how they can reduce costs, what their margins are. If you couple this with also upskilling in AI, you'll have an amazing list of options for your career.
Great question to ask. I applaud you for even thinking about this as a student. Economics and business go hand in hand now, so I think anything that allows you to think strategically would be great. Once you add math in there, you could totally look into roles as a business/data analyst in many areas like Finance, Marketing, Operations, etc. Most businesses love this skillset as companies like to know things like how they can make more profit and/or how they can reduce costs, what their margins are. If you couple this with also upskilling in AI, you'll have an amazing list of options for your career.
Carlos Carcamo
Consultant
8
Answers
Austin, Texas
Updated
Carlos’s Answer
You’re asking a great question, and it’s completely normal to feel uncertain at this stage. Let’s break it down:
✅ Your Current Strengths
• Math & Add Math (A and B): Strong foundation in quantitative reasoning.
• Economics (B): Good grasp of economic principles.
• Business (C): Some exposure to business concepts.
These subjects open doors to fields that value analytical and problem-solving skills.
🔍 Career Paths with Economics + Math
Here are some options where your background fits well:
1. Economics & Finance
o Economist (policy, research)
o Financial Analyst
o Investment Banking
o Risk Management
2. Data & Analytics
o Data Analyst
o Business Analyst
o Market Research Analyst
3. Actuarial Science
o Actuary (insurance, pensions)
o Requires strong math and statistics.
4. Accounting & Auditing
o Chartered Accountant
o Auditor (with additional certifications)
5. Public Policy & Development
o Government or NGO roles in economic planning.
🛠 Tools & Certifications to Boost Your Profile
• Excel & Advanced Spreadsheets (essential for analysis)
• Data Analysis Tools:
o Python (for data science)
o R (for statistical analysis)
o Power BI (preferred practical method)
• Certifications:
o CFA (Chartered Financial Analyst) – for finance careers.
o ACCA – for accounting.
o Google Data Analytics Certificate – beginner-friendly.
o Coursera/edX courses on Economics, Finance, and Data Science.
📈 Why Math Helps
Math builds logical thinking and quantitative skills, which are critical in economics, finance, and analytics. Your A in Math is a strong advantage.
Would you like me to suggest a roadmap for:
• University majors that fit your profile?
• Step-by-step plan for certifications and skills to start learning now?
Or should I focus on high-paying jobs in economics and what skills they require?
Great observation! Power BI is indeed a smart choice for analytics, especially for beginners and professionals who want a user-friendly, cost-effective tool. Many companies prefer it because:
• ✅ Low Cost & Scalable – Fits small and large organizations.
• ✅ User-Friendly – Drag-and-drop interface, easy to learn.
• ✅ Integration – Works seamlessly with Excel and other Microsoft tools.
• ✅ Visualization Power – Creates interactive dashboards and reports.
🔍 Why Power BI is Valuable for You
• It complements your math and economics background by helping you visualize data trends and make data-driven decisions.
• It’s widely used in finance, business analytics, and economics research.
• Learning Power BI can make you stand out for roles like:
o Data Analyst
o Business Intelligence Analyst
o Financial Analyst
o Market Research Analyst
🛠 How to Get Started
1. Learn the Basics
o Microsoft’s free Power BI tutorials.
o YouTube channels like Guy in a Cube.
2. Practice
o Use sample datasets (Excel or CSV) to build dashboards.
3. Certifications
o Microsoft Certified: Data Analyst Associate (Power BI-focused).
o Combine with Google Data Analytics Certificate for broader skills.
✅ Pro Tip
Pair Power BI with Excel and basic SQL knowledge. This combo is highly sought after and easy to learn alongside your economics studies.
Would you like me to create a step-by-step roadmap for mastering Power BI and related analytics skills (including free resources and certifications)? Or should I compare Power BI with other tools like Tableau and Python for analytics so you can decide the best path?
Here’s a step-by-step roadmap to master Power BI and become job-ready in analytics:
✅ Phase 1: Foundations (Week 1–2)
Goal: Understand what Power BI is and how it works.
• Install Power BI Desktop (free from Microsoft).
• Learn basic concepts:
o Data sources & connections
o Power Query (data cleaning)
o Data modeling basics
• Resources:
o https://learn.microsoft.com/en-us/training/powerplatform/power-bi
o YouTube: Guy in a Cube channel.
✅ Phase 2: Core Skills (Week 3–6)
Goal: Build dashboards and reports.
• Learn:
o Data Visualization (charts, slicers, filters)
o DAX (Data Analysis Expressions) for calculations
o Relationships between tables
• Practice:
o Create interactive dashboards using sample datasets.
• Resources:
o Microsoft Learn: Create and use analytics reports with Power BI
o Free datasets: Kaggle, Microsoft sample data.
✅ Phase 3: Advanced Features (Week 7–10)
Goal: Become proficient in analytics.
• Learn:
o Advanced DAX functions
o Row-level security
o Power BI Service (publishing & sharing dashboards)
• Explore:
o Integration with Excel and SQL
• Resources:
o https://learn.microsoft.com/en-us/certifications/data-analyst-associate/
✅ Phase 4: Certification & Portfolio (Week 11–14)
Goal: Showcase your skills.
• Earn Microsoft Data Analyst Associate certification.
• Build a portfolio:
o Create 3–5 dashboards (finance, sales, economics trends).
o Publish on GitHub or LinkedIn.
• Optional:
o Learn basic Python for data analysis (to complement Power BI).
✅ Phase 5: Continuous Growth
• Join Power BI communities (LinkedIn, Reddit, Microsoft forums).
• Stay updated with new features.
• Explore Power BI + AI integration for predictive analytics.
🔍 Pro Tip
Pair Power BI with Excel and basic SQL knowledge. This combo is highly sought after and easy to learn alongside your economics studies
✅ Your Current Strengths
• Math & Add Math (A and B): Strong foundation in quantitative reasoning.
• Economics (B): Good grasp of economic principles.
• Business (C): Some exposure to business concepts.
These subjects open doors to fields that value analytical and problem-solving skills.
🔍 Career Paths with Economics + Math
Here are some options where your background fits well:
1. Economics & Finance
o Economist (policy, research)
o Financial Analyst
o Investment Banking
o Risk Management
2. Data & Analytics
o Data Analyst
o Business Analyst
o Market Research Analyst
3. Actuarial Science
o Actuary (insurance, pensions)
o Requires strong math and statistics.
4. Accounting & Auditing
o Chartered Accountant
o Auditor (with additional certifications)
5. Public Policy & Development
o Government or NGO roles in economic planning.
🛠 Tools & Certifications to Boost Your Profile
• Excel & Advanced Spreadsheets (essential for analysis)
• Data Analysis Tools:
o Python (for data science)
o R (for statistical analysis)
o Power BI (preferred practical method)
• Certifications:
o CFA (Chartered Financial Analyst) – for finance careers.
o ACCA – for accounting.
o Google Data Analytics Certificate – beginner-friendly.
o Coursera/edX courses on Economics, Finance, and Data Science.
📈 Why Math Helps
Math builds logical thinking and quantitative skills, which are critical in economics, finance, and analytics. Your A in Math is a strong advantage.
Would you like me to suggest a roadmap for:
• University majors that fit your profile?
• Step-by-step plan for certifications and skills to start learning now?
Or should I focus on high-paying jobs in economics and what skills they require?
Great observation! Power BI is indeed a smart choice for analytics, especially for beginners and professionals who want a user-friendly, cost-effective tool. Many companies prefer it because:
• ✅ Low Cost & Scalable – Fits small and large organizations.
• ✅ User-Friendly – Drag-and-drop interface, easy to learn.
• ✅ Integration – Works seamlessly with Excel and other Microsoft tools.
• ✅ Visualization Power – Creates interactive dashboards and reports.
🔍 Why Power BI is Valuable for You
• It complements your math and economics background by helping you visualize data trends and make data-driven decisions.
• It’s widely used in finance, business analytics, and economics research.
• Learning Power BI can make you stand out for roles like:
o Data Analyst
o Business Intelligence Analyst
o Financial Analyst
o Market Research Analyst
🛠 How to Get Started
1. Learn the Basics
o Microsoft’s free Power BI tutorials.
o YouTube channels like Guy in a Cube.
2. Practice
o Use sample datasets (Excel or CSV) to build dashboards.
3. Certifications
o Microsoft Certified: Data Analyst Associate (Power BI-focused).
o Combine with Google Data Analytics Certificate for broader skills.
✅ Pro Tip
Pair Power BI with Excel and basic SQL knowledge. This combo is highly sought after and easy to learn alongside your economics studies.
Would you like me to create a step-by-step roadmap for mastering Power BI and related analytics skills (including free resources and certifications)? Or should I compare Power BI with other tools like Tableau and Python for analytics so you can decide the best path?
Here’s a step-by-step roadmap to master Power BI and become job-ready in analytics:
✅ Phase 1: Foundations (Week 1–2)
Goal: Understand what Power BI is and how it works.
• Install Power BI Desktop (free from Microsoft).
• Learn basic concepts:
o Data sources & connections
o Power Query (data cleaning)
o Data modeling basics
• Resources:
o https://learn.microsoft.com/en-us/training/powerplatform/power-bi
o YouTube: Guy in a Cube channel.
✅ Phase 2: Core Skills (Week 3–6)
Goal: Build dashboards and reports.
• Learn:
o Data Visualization (charts, slicers, filters)
o DAX (Data Analysis Expressions) for calculations
o Relationships between tables
• Practice:
o Create interactive dashboards using sample datasets.
• Resources:
o Microsoft Learn: Create and use analytics reports with Power BI
o Free datasets: Kaggle, Microsoft sample data.
✅ Phase 3: Advanced Features (Week 7–10)
Goal: Become proficient in analytics.
• Learn:
o Advanced DAX functions
o Row-level security
o Power BI Service (publishing & sharing dashboards)
• Explore:
o Integration with Excel and SQL
• Resources:
o https://learn.microsoft.com/en-us/certifications/data-analyst-associate/
✅ Phase 4: Certification & Portfolio (Week 11–14)
Goal: Showcase your skills.
• Earn Microsoft Data Analyst Associate certification.
• Build a portfolio:
o Create 3–5 dashboards (finance, sales, economics trends).
o Publish on GitHub or LinkedIn.
• Optional:
o Learn basic Python for data analysis (to complement Power BI).
✅ Phase 5: Continuous Growth
• Join Power BI communities (LinkedIn, Reddit, Microsoft forums).
• Stay updated with new features.
• Explore Power BI + AI integration for predictive analytics.
🔍 Pro Tip
Pair Power BI with Excel and basic SQL knowledge. This combo is highly sought after and easy to learn alongside your economics studies