left-arrowleft-arrowright-arrowleft-arrowAsset 9

Economics and Engineering (CMC)

The Economics and Engineering program allows students interested in a liberal arts education, together with a demanding curriculum in both economics and engineering, to earn two undergraduate degrees within five years. This is commonly called a “3+2 program.” Students in the Economics and Engineering (E&E) program study at CMC for the first three years, completing general education and E&E major requirements toward the Bachelor of Arts degree, then transfer to a regionally accredited school of engineering to complete a Bachelor of Science degree.

Major Requirements

Claremont McKenna College

Keck Science Common Learning Outcomes

Students completing a major in the Keck Science Department should demonstrate the ability to:

  1. Use foundational principles to analyze problems in nature.
  2. Develop hypotheses and test them using quantitative techniques.
  3. Articulate applications of science in the modern world.
  4. Effectively communicate scientific concepts both verbally and in writing.

Student Learning Outcomes

A.   When confronted with an unfamiliar physical system, our students should be able to:

    • Develop a framework for understanding the system by identifying the key physical principles underlying the system.
    • Translate the conceptual framework into an appropriate mathematical format.
    • (a) If the equations are analytically tractable, carry out the analysis of the problem to completion.
      (b) If equations are not tractable, develop a computer code and/or use standard software to numerically simulate the model system
    • Analyze and assess the reasonableness of the answers obtained.
    • Communicate their findings either verbally and/or via written expression.

B.   In a laboratory setting, students should be able to:

    • Demonstrate a working familiarity with standard laboratory equipment.
    • Identify and appropriately address the sources of error in their experiment.
    • Have proficiency with standard methods of data analysis.