BS Double Major in Economic and Data Analytics

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Specifically, you learn data analytic and data science techniques to evaluate the effectiveness of economic policy, understand economic behavior, predict and classify economic phenomena and describe and analyse networks of relationships between economic agents, firms, institutions and society. Data in economics can use to assess the success or failure of budgetary planning and implementation, implemented by authorities. Data in economics is mainly a compilation of details on various critical facets of a nation's economy. Officials in charge of such duties release data in economics at periodic intervals. Data science helps economists make accurate predictions, design better policies, and optimize decision-making processes.

Core Courses

  • Computing for Business and Economics
  • Foundations of Data Analytics and Machine Learning
  • Probability and Statistical Inference
  • Time Series Analysis and Forecasting
  • Monetary Economics
  • Introduction to Decision Analysis
  • Business Analytics
  • Mathematical Economics
  • Data Analysis and Statistical Methods
  • Mathematics

Eligibility Criteria

  • A minimum score of 50% an intermediate or equivalent exam.
  • They also need to pass an entrance exam.

Scope

A double major in economics and data analytics can lead to a variety of careers, including

  • Data scientist
  • Data engineer
  • Market analyst
  • Machine-learning engineer
  • Economic research analyst

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