Should-Read: MIT's new "Data Science and Economics" major track:

MIT: Computer Science, Economics, and Data Science (Course 6-14): "Required Subjects: Mathematics: 18.06 Linear Algebra...

...Computation/Algorithms: 6.0001 Introduction to Computer Science Programming in Python, 6.009 Fundamentals of Programming, 6.006 Introduction to Algorithms, 6.042[J] Mathematics for Computer Science, 6.046[J] Design and Analysis of Algorithms.

Economics: 14.01 Principles of Microeconomics, 14.32 Econometric Data Science

Introductory Probability and Statistics: Select one of the following: 6.041A & 6.041B Introduction to Probability I and Introduction to Probability II, 14.30 Introduction to Statistical Methods in Economics, 18.600 Probability and Random Variables

Data Science: 6.036 Introduction to Machine Learning

Project-based: 6.UAT Oral Communication (CI-M) or 15.276 Communicating with Data

Select one of the following: 14.05 Intermediate Macroeconomics, 14.18 Mathematical Economic Modeling (CI-M), 14.33 Research and Communication in Economics: Topics, Methods, and Implementation (CI-M)

Elective Subjects: Select one of the following computer science electives: 6.207[J] Networks, 15.053 Optimization Methods in Business Analytics. Select three economics electives from the list below, including at least one subject from each group: Data Science: 14.20 Industrial Organization and Competitive Strategy, 14.27 Economics and E-Commerce, 14.36 Advanced Econometrics, 14.41 Public Finance and Public Policy, 14.64 Labor Economics and Public Policy, 14.74 Foundations of Development Policy, 14.75 Political Economy and Economic Development, 15.780 Stochastic Models in Business Analytics; Theory: 14.04 Intermediate Microeconomic Theory, 14.12 Economic Applications of Game Theory, 14.13 Psychology and Economics, 14.15[J] Networks, 14.16 Strategy and Information, 14.19 Market Design, 14.26 Economics of Incentives: Theory and Applications, 14.54 International Trade...