The Math and Math/Stats Major

 


 

The Carleton Mathematics department offers two tracks within the major, Mathematics or Mathematics/Statistics which are designed to reflect the depth and diversity of modern mathematics or statistics. We seek to provide you with an accurate picture of the nature of mathematics or statistics itself, its applications, and its connections to other disciplines.

Effective starting with the Class of 2019:  Students may choose to major in Statistics (we will be discontinuing the Statistics track within the Mathematics major).

Through our courses, seminars, colloquia, and other activities, mathematics majors will:

  • learn a broad range of mathematical topics;
  • increase your ability to read and write mathematical proofs;
  • become a competent mathematical problem solver;
  • be exposed to the mathematical literature available in our excellent library;
  • learn how mathematics or statistics is applied to real problems;
  • become aware of the connections between the various branches of mathematics, and between mathematics and other disciplines.

Students on the mathematics/statistics track or those majoring in statistics will:

  • learn how to model real-world problems;
  • see how statistics is applied in different fields;
  • gain experience with statistical software.

 

REQUIREMENTS FOR THE MAJORS

 

We offer two tracks, Mathematics or Mathematics/Statistics. Both options include requirements that majors (a) complete the senior integrative exercise and (b) accumulate a total of eight talk-credits during the junior and senior years by attending the comps talks of their colleagues. In addition, we encourage our majors to participate in the numerous activities that take place around the department.

Mathematics major

The basic calculus/linear algebra sequence (Math 121, 211, and 232) and the course on mathematical structures (Math 236) are required of all majors. Also, each major must take at least 6 courses (36 credits) numbered above 236 chosen from at least three of the following areas. Of these 6 courses above Math 236, 4 must be courses offered by the department. Consult the catalog for course descriptions.

  • Algebra:
    Math 312 - Elementary Theory of Numbers
    Math 332 - Advanced Linear Algebra
    Math 342 - Abstract Algebra I
    Math 352 - Abstract Algebra II
  • Analysis:
    Math 251 - Chaotic Dynamics
    Math 261 - Functions of a Complex Variable
    Math 321 - Real Analysis I
    Math 331 - Real Analysis II
    Math 361 - Complex Analysis
  • Applied Mathematics and Statistics:
    Math 241 - Ordinary Differential Equations
    Math 245 - Applied Regression Analysis
    Math 255 - Probability and Statistics:  Introduction to Sampling Techniques
    Math 265 - Probability
    Math 275 - Introduction to Statistical Inference
    Math 315 - Topics in Probability and Statistics
    Math 341 - Fourier Series and Boundary Value Problems
    Math 365 - Stochastic Processes
  • Discrete Structures:
    CS 252 - Algorithms
    CS 254 - Automata & Computability
    Math 333 - Combinatorial Theory
  • Geometry/Topology:
    Math 244 - Geometries
    Math 344 - Differential Geometry
    Math 354 - Topology

Students must also complete the Senior Integrative Exercise ("Comps")

 

Mathematics/Statistics major

(discontinued after the class of 2018)

A Carleton student will be able to obtain a major in mathematics following a statistics track by taking the following courses above Calculus:

  • Math 232 - Linear Algebra
  • Math 236 - Structures
  • Math 245 - Applied Regression Analysis
  • Math 265 - Probability
  • Math 275 - Statistical Inference
  • one of 255, 315 or 365
  • plus two additional Mathematics courses above math 236 (one of which may be Computer Science 324), at least one of which must be taken outside of the Applied Mathematics area.

CS 111 (Introduction to Computer Science) is also recommended.

It is strongly recommended that students on this track engage in some data analysis learning experience outside the classroom such as an internship involving data analysis, a research experience with a statistician, either on or off campus, or a comps project that is explicitly statistical in nature. Students interested in graduate school in statistics are advised to take Math 321 (Real Analysis I).

Students must also complete the Senior Integrative Exercise ("Comps").

Statistics Major

(effective starting with the class of 2019)

A Carleton student will be able to obtain a major in Statistics by taking the following classes above Calculus (1-3):

  • Math 232 Linear Algebra
  • CS 111 Introduction to Computer Science
  • Math 245 Applied Regression Analysis
  • Math 265 Probability
  • Math 275 Introduction to Statistical Inference
  • Three electives
    • Electives chosen from Math 255 Sampling Techniques; Math 315 Topics in Probability and Statistics (may be taken more than once); Math 365 Stochastic Processes
    • One of the electives may be chosen from among CS 354 Data Mining; CS 362 Computational Biology; CS 314 Data Visualization.
  • Math 280 Statistical Consulting

Students must also complete the Senior Integrative Exercise.

We recommend that students take courses in a discipline in which statistics can be applied.

Students interested in graduate school in statistics or biostatistics are advised to take Math 236 (Mathematical Structures) and Math 321 (Real Analysis I).

 

Our Majors

Meet the current math majors  and math/stats majors [On-campus only]

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