Computational Economics Major, BS

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 38-49
Major Requirements 60-62
Open Electives 13-22
Total Credits 120

UNIVERSITY CORE REQUIREMENTS (38-49 CREDITS)

University Core Courses
ENG 110Composition3
ENG 120Critical Writing4
ENG 201Writing in the Disciplines3
COM 200Public Speaking3
Math Options
MAT 144Introduction to Probability and Statistics for Economics4-8
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 121Introduction to Computer Science3-4
or CIS 101 Introduction to Computing
or CIT 110 Introduction to Information Technology

MAJOR REQUIREMENTS (60-62 CREDITS)

Economics Core Courses
ECO 105Principles of Economics: Macroeconomics 10-3
ECO 106Principles of Economics: Microeconomics0-3
ECO 230Intermediate Macroeconomics3
ECO 234Intermediate Microeconomics3
ECO 240Quantitative Analysis and Forecasting4
ECO 380Mathematical Economics4
ECO 385Econometrics: Models and Organizations3
ECO 389 Economic Data Analysis (R & Python)3
CS/CIT Core Courses
CIT 261Introduction to Coding Using Python4
or CS 121 Introduction to Computer Science
or CS 321 Introduction to Game Programming
CIT 241Database Management4
CS 377Mathematical Foundations of Machine Learning4
CIT 380Applied AI with Deep Learning4
CS/CIT Electives8
Additional ECO or CS/CIT Electives6-8
Capstone Course
CS 489Computational Economics Capstone4
or ECO 400 Seminar in Economic Theory
Plan of Study Grid
First Year
FallCredits
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
One Learning Community (LC) Course 3
Take first Mathematics requirement. See advisor. 4
 Credits18
Spring
ENG 120 Critical Writing 4
ECO 105 Principles of Economics: Macroeconomics 1 3
Take any one remaining General Core course or Open Elective course 3
CIT 110 Introduction to Information Technology 3
 Credits13
Second Year
Fall
ECO 230 Intermediate Macroeconomics 3
First Language Course, if applicable 3
Take any one remaining General Core course and Writing Enhanced (WE) course 3
ECO 380 Mathematical Economics 4
 Credits13
Spring
Second Language Course, if applicable 3
Take any one remaining General Core course and Writing Enhanced (WE) course 3
Take any one remaining General Core course 3
CIT 241 Database Management 4
ECO 240 Quantitative Analysis and Forecasting 4
 Credits17
Third Year
Fall
COM 200 Public Speaking 3
CS 377 Mathematical Foundations of Machine Learning 4
Take Lab Science course 3
One elective course in subject ECO 3
ECO 385 Econometrics: Models and Organizations 3
 Credits16
Spring
ENG 201 Writing in the Disciplines 3
ECO 389 Economic Data Analysis (R & Python) 3
Take one CS/CIT course 4
ECO 234 Intermediate Microeconomics 3
 Credits13
Fourth Year
Fall
Take one Anti-Racist Education (ARE) course 3
CS 489 Computational Economics Capstone 3
Take any one remaining General Core course 3
Take one Civic Engagement (CE) course 3
CIT 380 Applied AI with Deep Learning 4
 Credits16
Spring
Take any one remaining General Corse course 3
Take one CS/CIT course 4
Take one Anti-Racist Education (ARE) course 3
One elective course in subject CS/CIT 4
 Credits14
 Total Credits120