The Mathematics and Statistics Majors
 Requirements for the Mathematics major
 Requirements for the Mathematics/Statistics major
 Requirements for the Statistics major (new!)
 Some possible patterns of courses for the major
 Senior comps
The Carleton Mathematics department offers two options within the major, Mathematics or Statistics (the Mathematics/Statistics track is being discontinued) 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 realworld problems;
 see how statistics is applied in different fields;
 gain experience with statistical software.
REQUIREMENTS FOR THE MAJORS
We offer a Mathematics or Statistics major (the Mathematics/Statistics is being discontinued). In addition to coursework, majors are required to (a) complete the senior integrative exercise and (b) accumulate a total of eight talkcredits during the junior and senior years by attending the comps talks of their colleagues. We encourage our majors to participate in the numerous activities that take place around the department.
Mathematics major
All majors are required to take 3 terms of Calculus and Linear Algebra (Math 232) and Mathematical Structures (Math 236) . 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 taken in our 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 (13):
 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 285 Data Science; Math 315 Topics in Probability and Statistics (may be taken more than once); Math 345 Advanced Statistical Modeling; Math 365 Stochastic Processes
 One of the electives may be chosen from among CS 324 Data Mining; CS 362 Computational Biology; CS 314 Data Visualization.
 Math 280 Statistical Consulting (may be taken more than once).
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 and stats majors. [Oncampus only]
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