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Management Engineering (CMC, Pitzer)

A five-year program, offered in conjunction with other institutions, allows students to receive both a Bachelor of Arts in Management Engineering from their home institution and a Bachelor of Science in Engineering from their second institution.  The first three years of study are undertaken at the students’ home campus in conjunction with the Keck Science Department.  Students then enroll at an institution with an approved engineering program to complete their final two years of study and receive both their BA and their BS. Formal programs exist with Columbia University, University of Southern California, Rensselaer Polytechnic and Boston University, among others.

Major Requirements

Claremont McKenna College (not listed in current catalog)

Pitzer 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

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

  1. Develop a framework for understanding the system by identifying the key physical principles underlying the system;
  2. Translate the conceptual framework into an appropriate mathematical format
  3. (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.
  4. Analyze and assess the reasonableness of the answers obtained;
  5. Communicate their findings either verbally and/or via written expression.

In a laboratory setting, students should be able to:

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