BS Economics

Degree Level
Duration
4 Years
Semester Fee
Rs. 200,000
Registration Fee
Rs. 25,000
Application Fee
Rs. 5,000

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BS Economics Overview

The Bachelor of Science in Economics program offers a rigorous curriculum that blends classical economic theories with modern analytical tools. Students delve into microeconomics, macroeconomics, and econometrics, gaining proficiency in statistical analysis and economic modeling. The program emphasizes critical thinking and quantitative skills essential for interpreting complex economic phenomena. Graduates are well-prepared for careers in economic research, policy analysis, and financial consulting. They can pursue opportunities in government agencies, international organizations, financial institutions, and academia. The program also lays a strong foundation for advanced studies in economics, public policy, or related fields. Artificial Intelligence is integrated through courses in data analytics and predictive modeling. Students learn to utilize AI tools such as machine learning algorithms and data visualization software to analyze economic trends and forecast market behaviors, enhancing their ability to make data-driven decisions in dynamic environments.

      Key Features

      • Comprehensive Core Curriculum
        Covers essential areas such as microeconomics, macroeconomics, and econometrics, ensuring a well-rounded foundation in economic theory and application.
      • Strong Quantitative Focus
        Emphasizes statistical analysis, mathematical modeling, and data interpretation, preparing students to tackle real-world economic challenges with precision.
      • Integration of Artificial Intelligence
        Equips students with AI-driven tools and techniques, including machine learning and predictive modeling, for analyzing economic data and forecasting market trends.
      • Career and Graduate Study Readiness
        Prepares graduates for roles in policy, finance, and research, while also offering a solid pathway to pursue advanced degrees in economics and related disciplines.

          Admission Criteria

          Fill admission form
          Pay application fee Rs. 5,000
          Appear in the admission test
          Pass the test with 60% marks
          Students who pass can join premium Educational program
          Acceptance or rejection letter is issues
          Last date for fee deposit is given
          Admission of Students who don’t pay dues are cancelled.
          Every Saturday and Wednesday admission test will be conducted.
          Test will be conducted on computers.
          Results will be announced the next day and informed to the students on WhatsApp and email.

          Admission Process

          1. 1. Fill out the admission form.
          2. 2. Pay the application fee of Rs. 5,000.
          3. 3. Appear for the admission test.
          4. 4. Pass the test with a minimum of 60% marks.
          5. 5.Students who pass the test can enroll in the premium educational program.
          6. 6. An acceptance or rejection letter will be issued.
          7. 7. The last date for fee deposit will be clearly indicated on the fee voucher.
          8. 8. Admission will be canceled for students who do not pay the required dues by the deadline.
          9. 9. Admission tests are conducted every Saturday and Wednesday.
          10. 10.Tests will be conducted on computers.
          11. 11. Test results will be announced the next day and communicated to students via WhatsApp and email.

          Student Success Stories

          Faqs

          Absolutely. The program prepares students for graduate studies in economics, public policy, data science, or related fields.

          Graduates can work in economic research, policy analysis, financial consulting, and data analytics across public and private sectors.

          Yes, strong quantitative skills are a core part of the curriculum, especially in areas like econometrics, modeling, and statistics.

          Students use AI tools for data analysis, economic forecasting, and trend prediction—applying machine learning and visualization techniques.