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What to choose for my master What options I can get with my background for my master? How can I choose subjects keeping my all interest alligned??
I am a 26 year old female from India, my education background are as follow:
1. Graduated school in 2019 with science (physics, chemistry, maths, biology) with 67%
2. Graduated college in August, 2022 (2019-2022) in Bsc Economics (minor in maths and statistics) with 7.34 CGPA from Asutosh College, Kolkata (under Calcutta University)
3. I tried for going Canada to do a diploma in business development management but failed due to financial and other external problems.
4. I started preparing for Banking Exams from December, 2022.
5. I started an accountancy course from April, 2023 to May 2024 along with Banking Exams preperation.
6. When I saw I was not getting any closer I left banking exam preperation on September, 2024.
7. I started a data analysis course on October, 2024 and its still going on.
8. I also started working as a receptionist at a CA firm from January, 2025.
9. From September, 2025 I started a data analyst internship which ended on January, 2026.
10. I am doing the data analysis course along with working so its taking time to finish.
11. I prefer a practical heavy subject rather than theory heavy.
12. I want to start earning right after my master's graduation.
13. Also I want to keep my options open for public policy or pdh from abroad.
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6 answers
Updated
Yashasvi’s Answer
Given your BSc in Economics (with maths & stats), plus your experience in data analysis and accountancy, there are several master’s paths that could really suit you
🌸 Practical & Real-World Options
1️⃣ Data Analytics / Business Analytics / Data Science – Great if you love hands-on projects and want skills that open doors globally.
2️⃣ Applied / Quantitative Economics – Lets you use your maths + econ background while keeping options open for policy roles or a PhD later.
3️⃣ Financial Analytics / Finance & Risk Management – Combines your accounting know-how with analytics; perfect for corporate, banking or consulting roles.
4️⃣ Public Policy / Development Studies – Ideal if you’re thinking about a PhD eventually; look for programs with quantitative electives to match your strengths.
When picking courses, try to blend what excites you with what’s practical. Hands-on projects, internships or modules that stretch your stats and programming skills will give you both confidence and flexibility for the future.
✨ The trick is to look for programs that mix practical experience, industry connections and interdisciplinary electives. That way you can start working after your master’s while keeping long-term academic options open. You got this! 💛
🌸 Practical & Real-World Options
1️⃣ Data Analytics / Business Analytics / Data Science – Great if you love hands-on projects and want skills that open doors globally.
2️⃣ Applied / Quantitative Economics – Lets you use your maths + econ background while keeping options open for policy roles or a PhD later.
3️⃣ Financial Analytics / Finance & Risk Management – Combines your accounting know-how with analytics; perfect for corporate, banking or consulting roles.
4️⃣ Public Policy / Development Studies – Ideal if you’re thinking about a PhD eventually; look for programs with quantitative electives to match your strengths.
When picking courses, try to blend what excites you with what’s practical. Hands-on projects, internships or modules that stretch your stats and programming skills will give you both confidence and flexibility for the future.
✨ The trick is to look for programs that mix practical experience, industry connections and interdisciplinary electives. That way you can start working after your master’s while keeping long-term academic options open. You got this! 💛
Updated
Laila’s Answer
You've been working hard to find your way, and it's important to know that you have a stronger foundation than you might think. With your background in Economics, Maths, and Statistics, you already have key skills for data science. Many people have to learn these from scratch, so you're in a great spot to move forward.
Since you like practical work and want to start earning right after your master's, here's a plan for you:
Focus on Certifications
You learn best by doing, so consider certifications like Google Data Analytics or IBM Data Science Professional. These are hands-on, recognized by employers worldwide, and teach tools used in the workplace, such as SQL, Tableau, and Python. They will fit well with your Economics degree and make your resume ready for jobs.
Use Your Banking and Finance Knowledge
You've spent time preparing for banking exams and working in a CA firm—use that experience! When applying for jobs, aim for Data Analyst roles in Banking or Fintech. Banks value analysts who understand financial concepts like ledgers, risk, and interest. This knowledge makes you a more valuable candidate than someone who only knows how to code.
Start Applying Now
You don't have to wait until your course is completely finished to start applying. You've already completed an internship, which is a big step. Start applying for roles now. This will help you understand what the market wants and could lead to a job offer sooner than you think.
You've built a strong foundation; now it's about connecting the dots and getting your profile in front of the right people.
Target Data Roles Within the Banking and Finance Sector
Since you like practical work and want to start earning right after your master's, here's a plan for you:
Focus on Certifications
You learn best by doing, so consider certifications like Google Data Analytics or IBM Data Science Professional. These are hands-on, recognized by employers worldwide, and teach tools used in the workplace, such as SQL, Tableau, and Python. They will fit well with your Economics degree and make your resume ready for jobs.
Use Your Banking and Finance Knowledge
You've spent time preparing for banking exams and working in a CA firm—use that experience! When applying for jobs, aim for Data Analyst roles in Banking or Fintech. Banks value analysts who understand financial concepts like ledgers, risk, and interest. This knowledge makes you a more valuable candidate than someone who only knows how to code.
Start Applying Now
You don't have to wait until your course is completely finished to start applying. You've already completed an internship, which is a big step. Start applying for roles now. This will help you understand what the market wants and could lead to a job offer sooner than you think.
You've built a strong foundation; now it's about connecting the dots and getting your profile in front of the right people.
Laila recommends the following next steps:
Updated
Nitasha’s Answer
Thanks for sharing your background career history and great work trying hard to learn and explore which career options could work best for you. I would recommend taking masters courses in data analytics /data science and AI courses if possible. As and when you get chance before going too deep in data analysis try understanding basics of data engineering which is SQL and python and also how data engineering stack works. There are many summary courses available to learn basics of data engineering online as well as on YouTube or LinkedIn courses. All the best with your masters!
Updated
Siva’s Answer
Before choosing a master’s degree, I think the more important question is whether you are clear on the direction you want to commit to. Right now, it looks less like confusion and more like exploration without a clear compass.
Instead of trying multiple paths and giving up on each, I’d encourage you to pause and reflect on three key questions:
1. When have you felt so focused you lost track of time?
Think across economics, data analysis, accountancy, internships, and even daily work. What kind of problems were you solving, and what did you enjoy doing?
2. What kind of workday do you realistically want?
Since you prefer practical subjects and want to earn right after graduation, ask yourself whether you see yourself in applied analytics, operations, decision-making, or research-oriented roles, etc.
3. If you had to commit to one direction for the next 5 years, which path would you not regret exploring?
Your background already supports multiple strong options. The risk will be you choose an option without clarity. Once you answer these questions honestly, you might have an idea on what you may want to do.
Wish you the best!
Instead of trying multiple paths and giving up on each, I’d encourage you to pause and reflect on three key questions:
1. When have you felt so focused you lost track of time?
Think across economics, data analysis, accountancy, internships, and even daily work. What kind of problems were you solving, and what did you enjoy doing?
2. What kind of workday do you realistically want?
Since you prefer practical subjects and want to earn right after graduation, ask yourself whether you see yourself in applied analytics, operations, decision-making, or research-oriented roles, etc.
3. If you had to commit to one direction for the next 5 years, which path would you not regret exploring?
Your background already supports multiple strong options. The risk will be you choose an option without clarity. Once you answer these questions honestly, you might have an idea on what you may want to do.
Wish you the best!
Updated
Azilee’s Answer
My primary answer is for you to think carefully about what you would enjoy doing long-term and what problems you are passionate about solving. If I were your advisor for professional growth only. I would suggest a masters in global health or an actuarial degree. Your prior studies qualify your entry. They are both highly sought after positions to be filled. They both provide a lucrative income and may tie into your personal life and interest. However, I do suggest you study their roles first, think carefully and meditate with your higher powers and family for input. Good luck with your education and career decisions. I am sure that whatever you choose. You will be embraced as an outstanding asset to the team.
Azilee
Azilee
Updated
Vibha’s Answer
Thank you for sharing your background. You seem to be a dedicated worker, and it's great that you're exploring new directions. The market is quickly moving towards artificial intelligence and data science, offering many opportunities for growth. Consider taking a break to pursue a master's in data science. This could align well with your goals, such as moving into data analysis, finding a job after graduation, and possibly pursuing a PhD in the future.