Advising for Mathematics and Statistics

We have recently revised the curriculum for all of our majors and minors, and the new requirements will go into effect for the 2020-21 academic year. This page provides an overview of the new curriculum together with advice for students concerning placement in calculus and statistics.

Majors

  • Mathematics: for students with an interest in pure and applied mathematics;
  • Mathematics (statistics track): for students of mathematics wishing to focus their upper-level work in statistics;
  • Mathematics-economics: for students interested in economics, the mathematical underpinnings of economic models, and mathematical and statistical methods as applied to economic problems;

See below for the exact major and minor requirements. See the Computer Science and Economics websites for information about those programs.

Calculus Placement

All three of the mathematics majors begin with the 3-term calculus sequence:

  • MATH 140: Calculus
  • MATH 155: Multivariable Calculus
  • MATH 200: Complex Sequences & Series

Here are some guidelines for placement (these apply to all students interested in calculus, not just prospective majors):

  • All students intending to enroll in their first MATH course at Lawrence (except those planning to enroll in MATH 120 or 130) must take the ALEKS placement assessment covering topics in pre-calculus.
  • Students scoring between 45 and 74 on the ALEKS exam should take MATH 103: Preparation for Calculus.
  • Students scoring 75 or above on the ALEKS exam, and who have no calculus experience or who scored 3 or less on the AB or BC calculus exam should enroll in MATH 140. 
  • Students scoring 75 or above on the ALEKS exam, and who scored a 4 or 5 on the AB exam or a 4 or 5 on the BC exam should enroll in MATH 155. 
  • In general, students who score below a 45 on the ALEKS exam, or who are unsure of their level of preparation should consult with a member of the mathematics department regarding placement.

Most Natural and Social Science majors require at least one course in mathematics or statistics. While many students in those majors will take some or all of the standard calculus sequence, we also offer an applied calculus sequence (MATH 120, 130) intended for students wanting an introduction to applied mathematics---this sequence can form part of the Geosciences, Biochemistry, and Economics majors as an alternative to MATH 140.

Statistics Placement

For students interested in statistics:

  • Students without prior study of statistics or calculus should enroll in STAT 107: Principles of Statistics;
  • Students ​with prior study of statistics (e.g. AP statistics or BIOL 170) or credit for MATH 140 (or equivalent) should enroll in STAT 255: Statistics for Data Science. Students with credit for MATH 120 should consult with a member of the math department for placement advice.

Major Requirements

The major requirements refer to the following categories of elective courses (see here for up-to-date course descriptions and prerequisites)

A) Algebra & Combinatorics: MATH 525, 545, 555, 565

B) Analysis & Topology: MATH 510, 530, 535, 550, 560

C) Applied Mathematics: MATH 340, 350, 400, 420, 435

D) Statistics: STAT 255, 445, 450, 455

Mathematics major:
  1. MATH 140: Calculus, MATH 155: Multivariable Calculus.
  2. MATH 200: Complex Sequences & Series, MATH 230: Discrete Mathematics, Math 250: Linear Algebra.
  3. Five 6-unit courses chosen from categories A-D; at most one of these courses may come from category D, and at least 3 of the categories A-D must be represented.
  4. One six-unit CMSC course numbered 150 or above; one of 150, 205, or 210 is recommended.
  5. Senior Experience: completion of a 6-unit independent study project in at least one term of the senior year.
Mathematics (statistics track) major:
  1. MATH 140: Calculus, MATH 155: Multivariable Calculus.
  2. MATH 200: Complex Sequences & Series, MATH 230: Discrete Mathematics, Math 250: Linear Algebra.
  3. MATH 340: Probability.
  4. One additional MATH course from categories A-C.
  5. STAT 255: Statistics for Data Science.
  6. Two of the following courses: STAT 445: Mathematical Statistics, STAT 450: Bayesian Statistics, STAT 455: Advanced Statistical Modeling.
  7. Either CMSC/STAT 205: Data Scientific Programming or CMSC/STAT 208: Machine Learning.
  8. Senior Experience: completion of a 6-unit independent study project in at least one term of the senior year.
Mathematics-economics major:
  1. MATH 140: Calculus, MATH 155: Multivariable Calculus.
  2. MATH 200: Complex Sequences & Series, MATH 230: Discrete Mathematics, Math 250: Linear Algebra.
  3. MATH 340: Probability.
  4. One of the following courses: STAT 445: Mathematical Statistics, STAT 450: Bayesian Statistics, MATH 510: Real Analysis.
  5. ECON 100: Introductory Economics.
  6. ECON 300: Microeconomics, ECON 320: Macroeconomics, ECON 380: Econometrics.
  7. One 6-unit ECON course numbered between 400 and 580.
  8. Senior Experience: a 6-unit independent study project that has been approved by both departments.

Minor Requirements

Mathematics minor:
  1. MATH 140: Calculus, MATH 155: Multivariable Calculus.
  2. MATH 200: Complex Sequences & Series, MATH 230: Discrete Mathematics, Math 250: Linear Algebra.
  3. Two additional 6-unit courses chosen from categories A-D.
Statistics & Data Science minor:
  1. CMSC/STAT 205: Data Scientific Programming, STAT 255: Statistics for Data Science.
  2. Two of the following courses: CMSC/STAT 208: Machine Learning, CMSC/STAT 405: Advanced Data Computing, STAT 450: Bayesian Statistics, STAT 455: Advanced Statistical Modeling
  3. Two approved courses chosen from domain areas such as Anthropology, Biology, Chemistry, Economics, Environmental Studies, Geosciences, Ethnic Studies, Government, Mathematics, Psychology, etc.

For further information, contact the department chair: Scott Corry, Professor of Mathematics.