Decision Science, B.S.
The Major in Decision Science
Peter Schwardmann, Faculty Director
Location: Porter Hall 319F
schwardmann@cmu.edu
Lizzy Stoyle, Senior Academic Advisor
Advises Primary Majors in Decision Science
Location: Porter Hall 208G
estoyle@andrew.cmu.edu
Schedule an appointment: https://go.oncehub.com/LizzyStoyle
Connie Angermeier, Senior Academic Program Manager and Advisor
Advises BHA, All Transfer Students, Additional Majors, and Minors in Decision Science
Location: Porter Hall 208H
cla2@andrew.cmu.edu
Schedule an appointment: https://go.oncehub.com/ConnieAngermeier
https://www.cmu.edu/dietrich/sds/undergraduate/decision-science/index.html
Overview
Prerequisites
All Decision Science majors must complete mathematics, statistics, and analytic methods prerequisites (see below), by the end of the sophomore year.
| Mathematics Prerequisite | Units | |
| 21-111 & 21-112 | Differential Calculus and Integral Calculus | 10-20 |
| or 21-120 | Differential and Integral Calculus | |
| Statistics Prerequisite | Units | |
| 36-200 | Reasoning with Data | 9 |
Students must take one course from the following set (or an approved alternative). Students may not count a course used to fulfill the Mathematics Prerequisite as also filling the Analytic Methods Prerequisite. Students may not count a course used to fulfill the Analytic Methods Prerequisite as also filling a Decision Science elective.
| Analytic Methods Prerequisite | Units | |
| 21-122 | Integration and Approximation | 10 |
| or 21-256 | Multivariate Analysis | |
| or 36-401 | Modern Regression | |
| or 36-410 | Introduction to Probability Modeling | |
| or 80-210 | Logic and Proofs | |
| or 80-211 | Logic and Mathematical Inquiry | |
| or 80-315 | Logics for Knowledge and Belief | |
| or 88-252 | Causal Inference: from Data to Decisions | |
| or 88-300 | Programming and Data Analysis for Social Scientists | |
Curriculum
The core curriculum in Decision Science consists of five courses providing the theoretical perspectives of Decision Science, two courses in research methods, and one capstone.
Core Courses
| Theoretical Perspectives | Units | |
| 73-102 | Principles of Microeconomics | 9 |
| or 73-104 | Principles of Microeconomics Accelerated | |
| 85-100 | Introduction to Psychology | 9 |
| 88-120 | Reason, Passion and Cognition * | 9 |
| 88-223 | Decision Analysis | 12 |
| 88-302 | Behavioral Decision Making | 9 |
| 48 | ||
- *
88-120 should be taken in the freshman or sophomore year.
| Statistical Research Methods (select one course)* | Units | |
| 36-202 | Methods for Statistics & Data Science | 9 |
| or 36-309 | Experimental Design for Behavioral & Social Sciences | |
| or 85-309 | Statistical Concepts and Methods for Behavioral and Social Science | |
| * Be sure to consult with your Decision Science advisor to discuss which course will best fit your plans and goals. | 9 | |
| SDS Research Methods | Units | |
| 88-251 | Empirical Research Methods | 9 |
| 9 | ||
Electives45 units
Complete at least 45 units of courses from the following list. Note that additional courses (most typically 88xxx courses) are occasionally added. For the most up to date list of approved electives (and additional information about the courses), see the SDS website. Some courses have additional prerequisites.
Although the Decision Science major doesn't explicitly require students to take a capstone course, students who want to have real-world, professional experience should register for 88-454 Decision Science Capstone (this will count as one of the electives).
At least three of these courses (27 units) must be Department of Social and Decision Sciences courses (88-xxx) from the approved list.
| Elective Courses | Units | |
| 88-150 | Managing Decisions | 9 |
| 88-221 | Markets, Democracy, and Public Policy | 9 |
| 88-230 | Human Intelligence and Human Stupidity | 9 |
| 88-231 | Thinking in Person vs. Thinking Online | 9 |
| 88-234 | Negotiation: International Focus | 9 |
| 88-235 | Negotiation: Strategies and Behavioral Insights | 9 |
| 88-237 | The Happy Cyborg | 9 |
| 88-252 | Causal Inference: from Data to Decisions * | 9 |
| 88-261 | Health Policy and Decision Making | 9 |
| 88-262 | Rationality and Irrationality in Medicine | 9 |
| 88-275 | Bubbles: Data Science for Human Minds | 9 |
| 88-285 | Deconstructing and Dismantling Discrimination | 9 |
| 88-290 | Confessions, Lies, and Gossip | 9 |
| 88-300 | Programming and Data Analysis for Social Scientists | 9 |
| 88-312 | Decision Models and Games | 9 |
| 88-342 | The Neuroscience of Decision Making | 9 |
| 88-344 | Systems Analysis: Environmental Policy | 9 |
| 88-360 | Behavioral Economics | 9 |
| 88-365 | Behavioral Economics and Public Policy | 9 |
| 88-366 | Behavioral Economics of Poverty and Development | 9 |
| 88-367 | Designing Economics Experiments in the Wild | 9 |
| 88-372 | Social and Emotional Brain | 9 |
| 88-379 | Data-Driven Decision Analysis | 9 |
| 88-451 | Policy Analysis Senior Project | 12 |
| 88-452 | Policy Analysis Senior Project | 12 |
| 88-454 | Decision Science Capstone | 9 |
| 70-311 | Organizational Behavior | 9 |
| 70-332 | Business, Society and Ethics | 9 |
| 70-381 | Marketing I | 9 |
| 70-443 | Digital Marketing and Social Media Strategy | 9 |
| 70-460 | Mathematical Models for Consulting | 9 |
| 73-265 | Economics and Data Science | 9 |
| 80-221 | Philosophy of Social Science | 9 |
| 80-324 | Philosophy of Economics | 9 |
| 84-369 | Decision Science for International Relations | 9 |
| 85-409 | Crosscultural | 9 |
| 85-454 | Health Psychology | 9 |
Decision Science, B.S. Sample Curriculum
| First-Year | Second-Year | ||
|---|---|---|---|
| Fall | Spring | Fall | Spring |
| 88-120 Reason, Passion and Cognition * | 36-202 Methods for Statistics & Data Science | 85-100 Introduction to Psychology | 88-223 Decision Analysis |
| 36-200 Reasoning with Data | Pick One (Grand Challenge Seminar, FYW, Disciplinary Perspectives: Humanities) | 88-251 Empirical Research Methods | 88-302 Behavioral Decision Making |
| 21-120 Differential and Integral Calculus (or 21-111, depending on placement) | Pick One (Grand Challenge Seminar, FYW, Disciplinary Perspectives: Humanities) | 88-252 Causal Inference: from Data to Decisions or other Analytic Methods course | 88-300 Programming and Data Analysis for Social Scientists or other Analytic Methods course |
| Pick One (Grand Challenge Seminar, FYW, Disciplinary Perspectives: Humanities) | Gen Ed or Elective | Gen Ed or Elective | Decision Science Elective |
| 73-102 Principles of Microeconomics | Gen Ed or Elective | Gen Ed or Elective | Gen Ed or Elective |
| Gen Ed or Elective | |||
| Third-Year | Fourth-Year | ||
|---|---|---|---|
| Fall | Spring | Fall | Spring |
| Decision Science Elective | Decision Science Elective | Senior Honors Thesis or Elective | Senior Honors Thesis or Elective |
| Gen Ed or Elective | Gen Ed or Elective | Capstone or Decision Science Elective | Decision Science Elective |
| Elective | Elective | Elective | Elective |
| Elective | Elective | Elective | Elective |
| Elective | Elective | Elective | |
- *
88-120 should be taken as the first course in the Decision Science sequence. It is intended for students in their first or second year; it is offered in Fall and Spring semesters. It may be taken as late as the junior year.
This is presented as a recommended plan for completing major requirements. The major can be completed in as few as two years (not that it must be), but students may not have time for other opportunities such as additional majors or study abroad. Students may declare their major as early as the third week of the spring semester in the first year. Students who are planning to attend the Washington Semester Program, to study abroad, to apply for the Heinz Accelerated Masters Program, or to pursue an additional major/minor may have a very different curriculum map and should consult early – and often – with the Decision Science Academic Advisor.
Students are encouraged to consider the Washington Semester Program as part of their education. Suitable courses will be considered as fulfilling requirements of electives in the major. Please send the course syllabus, along with a note explaining how the course addresses fundamental aspects of decision science in one of the six elective categories to your DS advisor.
Additional Major in Decision Science
Students who elect Decision Science as an additional major must fulfill all of the requirements of the Decision Science major.
Students pursuing Behavioral Economics with an additional major in Decision Science may only count 36-202, 73-102, 88-120, 88-251 and 88-302 toward the completion of both majors.
Students pursuing Policy and Management with an additional major in Decision Science and may only count 36-202, 73-102, 88-223, and 88-251 toward the completion of both majors.
Additional majors cannot count menu electives toward simultaneously fulfilling more than one major or minor. Students who are interested in an additional major in Decision Science should see the Academic Advisor of the Decision Science program.
