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A self-taught B.SC in Computer Science, Economics, and Data Science curriculum

Content

Objectives

1. CS-Maths

2. CS-Introduction

3. CS-Foundations

4. CS-Cores

5. CS-Advanced

6. CS-Tools

7. Economics


Objectives:

This is a self-taught curriculum was built by Alan Nguyen based on MIT and Stanford curriculums. After completing this curriculum, start applying for jobs, doing contract work, start your own data science consulting group, or just keep on learning. Remember to believe in your ability to learn. You can learn computer science and data science, the important thing is be focus, practice deep work and you will master the concepts, programming skills and data science techniques. Keep learning. Life is a journey or learning.

1. CS-Maths

2. CS-Introduction

3. CS-Foundations

4. CS-Cores

Optional

5. CS-Advanced

6. CS-Tools

7. Economics

Economics Electives

Select three of the following, 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