10+2 (any stream) or equivalent degree from a recognized board/university. There is a non-credit course on Basic(10+2) level Maths and Statistics for students not having paper on quantitative skills in their previous degree and they can pursue this course simultaneously with other credit courses during the 1^st semester.

The market demand for data science skills combined with economics is booming, driven by the need for data-driven decision-making in finance, policy-making, and market research.

* Economists with expertise in data science can analyze large datasets, identify trends, and make predictions, making them highly valuable in industries like finance, healthcare, and e-commerce.

* Skills like Python, R, machine learning, statistics, and data visualization are in high demand, and professionals with this combination can expect lucrative career opportunities.

* As companies increasingly rely on data to inform their strategies, the demand for economists with data science skills is expected to grow, making it a promising career path.

*With the increasing use of big data, this combination is likely to remain a key differentiator in the job market, offering a wide range of opportunities for those who upskill in data science and economics.

This trend is expected to continue in 2026 and beyond, making it an exciting time to explore this field.