Campus: NYC, Westchester
The Computational Economics (BS) major is an interdisciplinary major that teaches cutting-edge quantitative skills using the power of computer science and information technology. Students will learn how to program, work with big data, and apply sophisticated quantitative techniques (i.e. AI, Machine Learning, Econometrics) to answer questions in economics and business practices. The major is STEM designated and provides students with highly demanded skills across a variety of industries and jobs in the private and public sector.
MAJOR COMPLETION SUMMARY
| Requirement | Credits |
|---|---|
| University Core Requirements | 44 |
| Major Requirements | 60-62 |
| Open Electives | 7-17 |
| Total Credits | 120 |
UNIVERSITY CORE REQUIREMENTS (44 CREDITS)
| Code | Title | Credits |
|---|---|---|
| University Core Courses | ||
| ENG 110 | Composition | 3 |
| ENG 120 | Critical Writing | 4 |
| ENG 201 | Writing in the Disciplines | 3-4 |
| COM 200 | Public Speaking | 3 |
| Math Options | ||
| MAT 144 | Introduction to Probability and Statistics for Economics | 4-8 |
| or MAT 131 & MAT 234 | Calculus I and Introduction to Probability and Statistical Analysis | |
| or MAT 111 & MAT 134 | Elementary Calculus I and Introduction to Probability and Statistics | |
| or MAT 104 & MAT 117 | Finite Mathematics and Elementary Statistics | |
| CS 121 | Introduction to Computer Science | 4 |
| or CIS 101 | Introduction to Computing | |
| or CIS 103 | Problem Solving Using Technology | |
| or CIT 110 | Introduction to Information Technology | |
MAJOR REQUIREMENTS (60-62 CREDITS)
| Code | Title | Credits |
|---|---|---|
| Economics Core Courses | ||
| ECO 105 | Principles of Economics: Macroeconomics | 0-3 |
| ECO 106 | Principles of Economics: Microeconomics | 0-3 |
| ECO 230 | Intermediate Macroeconomics | 3 |
| ECO 234 | Intermediate Microeconomics | 3 |
| ECO 240 | Quantitative Analysis and Forecasting | 3-4 |
| ECO 380 | Mathematical Economics | 3-4 |
| ECO 385 | Econometrics: Models and Organizations | 3 |
| ECO 389 | Economic Data Analysis (R & Python) | 3 |
| CS/CIT Core Courses | ||
| CIT 312 | Introduction to Programming I | 4 |
| CIT 241 | Database Management | 4 |
| CS 377 | Mathematical Foundations of Machine Learning | 4 |
| CIT 380 | Applied AI with Deep Learning | 4 |
| CS/CIT Electives | 8 | |
| Additional ECO or CS/CIT Electives | 6-8 | |
| Capstone Course | ||
| CS 489 | Computational Economics Capstone | 3 |
| First Year | ||
|---|---|---|
| Fall | Credits | |
| UNV 101 | First-Year Seminar: Introduction to University Community | 1 |
| ENG 110 | Composition | 3 |
| CS 121 | Introduction to Computer Science | 4 |
| ECO 106 | Principles of Economics: Microeconomics | 3 |
| Take Learning Community (LC) Course | 3 | |
| Take the first Mathematics requirement. See advisor. | 0-4 | |
| Credits | 14-18 | |
| Spring | ||
| ENG 120 | Critical Writing | 4 |
| ECO 105 | Principles of Economics: Macroeconomics | 3 |
| AOK | 3 | |
| CIT 110 | Introduction to Information Technology | 3 |
| Take the second Mathematics requirement. See advisor. | 0-4 | |
| Credits | 13-17 | |
| Second Year | ||
| Fall | ||
| ECO 230 | Intermediate Macroeconomics | 3 |
| LANG I | 3 | |
| AOK/WE | 3 | |
| MAT 144 | Introduction to Probability and Statistics for Economics (Only take if MAT requirement not fulfilled) NYC Campus only | 4 |
| ECO 380 | Mathematical Economics | 3-4 |
| Credits | 16-17 | |
| Spring | ||
| LANG II | 3 | |
| AOK/WE | 3 | |
| AOK | 3 | |
| CIT 241 | Database Management | 4 |
| ECO 240 | Quantitative Analysis and Forecasting | 3-4 |
| Credits | 16-17 | |
| Third Year | ||
| Fall | ||
| COM 200 | Public Speaking | 3 |
| CS 377 | Mathematical Foundations of Machine Learning | 4 |
| LAB | 3 | |
| ECO Elec | 3 | |
| ECO 385 | Econometrics: Models and Organizations | 3 |
| Credits | 16 | |
| Spring | ||
| ENG 201 | Writing in the Disciplines | 3-4 |
| ECO 389 | Economic Data Analysis (R & Python) | 3 |
| CS/CIT Elec | 4 | |
| ECO 234 | Intermediate Microeconomics | 3 |
| Credits | 13-14 | |
| Fourth Year | ||
| Fall | ||
| ARE | 3 | |
| CS 489 | Computational Economics Capstone | 3 |
| AOK | 3 | |
| Civic Engagement | 3 | |
| CIT 380 | Applied AI with Deep Learning | 4 |
| AOK | 3 | |
| Credits | 19 | |
| Spring | ||
| AOK | 3 | |
| CS/CIT Elec | 4 | |
| ARE | 3 | |
| ECO Elec | 3 | |
| Credits | 13 | |
| Total Credits | 120-131 | |