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# STATISTICS (STAT)

College of Arts and Sciences, Interdisciplinary Program: Department of Computer and Information Sciences and Department of Mathematics

O’Shaughnessy Science Hall (OSS) 201, (651) 962-5520

Shemyakin (MATH) committee chair; Advisory committee: Curran (CISC), Pliego (CISC), Werness (CISC)

Statistics is an interdisciplinary major that draws upon faculty and courses in the departments of Computer and Information Sciences and Mathematics. The major is administered by a committee of representatives from both departments. This joint major allows students to pursue an interest in mathematical statistics, applied statistics, and related areas including biostatistics, operations research, and data mining.

# Major in Statistics (B.S.)

**Applied STAT guide - Major Field Guide**

**Math STAT guide - Major Field Guide**

- MATH 113 Calculus I (or MATH 108 and MATH 109) (4 credits per course)
- MATH 114 Calculus II (4 credits)

Plus four credits from the following:

- MATH 128 Introduction to Discrete Mathematics (4 credits)

*or*

- MATH 240 Linear Algebra (4 credits)

*Plus:*

- CISC 130 Programming and Problem Solving (4 credits)
- IDTH 360 Advanced Statistical Software (4 credits)
- IDTH 400 Data Mining and Machine Learning (4 credits)
- STAT 460 Statistical Research/Practicum - a capstone experience (4 credits)

**Concentration in Mathematical Statistics**

- MATH 200 Multi-variable Calculus (4 credits)
- MATH 313 Probability (4 credits)
- STAT 314 Mathematical Statistics (4 credits)
- STAT 333 Applied Statistics Methods (4 credits)
*Plus eight credits from the list of electives below.*

**Concentration in Applied Statistics**

- STAT 220 Statistics I (4 credits)
- STAT 320 Statistics II (4 credits)
*Plus sixteen credits from the list of electives below.*

**Electives**

- ACSC 264 Theory of Interest (4 credits)
- ACSC 464 Math Finance (4 credits)
- IDTH 410 Operations Research I (4 credits)
- IDTH 411 Operations Research II (4 credits)
- MATH 315 Applied Mathematics and Modeling I (4 credits)
- MATH 385 Mathematical Methods of Numerical Analysis (4 credits)
- STAT 310 Bio-Statistics (4 credits)
- STAT 370 Bayesian Statistical Models and Credibility Theory (4 credits)

**Allied Requirements:**

- COJO 100 Public Speaking (4 credits) or COJO 105 Communication in the Workplace (4 credits)

# Joint Minor in Statistics from MATH and CISC Departments

This joint minor allows students to pursue an interest in mathematical statistics, applied statistics, and related areas including biostatistics, operations research, and data mining.

Required courses (each of two tracks includes 6 courses with MATH, STAT, or IDTH designation numbered in the brackets):

- MATH 113 Calculus (or MATH 108 and MATH 109) (1)
- - MATH 128 Introduction to Discrete Mathematics
- - OR MATH 240 Linear Algebra (2)

*Plus:*

*For Mathematical Statistics track:*

- MATH 114 Calculus II (3)
- MATH 200 Multivariable Calculus (4)
- MATH 313 Probability (5)
- STAT 314 Mathematical Statistics (6)

*or*

*For Applied Statistics track:*

- STAT 220 Statistics I (3)
- STAT 310 Bio-Statistics (4)
- STAT 320 Statistics II (5)

*Plus four credits from the following electives (6):*

- IDTH 360 Advanced Statistical Software
- IDTH 400 Data Mining and Machine Learning
- IDTH 410 Operations Research I
- IDTH 411 Operations Research II

Course Number | Title | Credits |
---|---|---|

STAT 201 | Introductory Statistics II | 2 |

STAT 206 | Statistics in Business | 2 TO 4 |

STAT 220 | Statistics I | 4 |

STAT 310 | Biostatistics | 4 |

STAT 314 | Mathematical Statistics | 4 |

STAT 320 | Statistics II | 4 |

STAT 333 | Applied Statistical Methods | 4 |

STAT 370 | Bayesian Models | 4 |

STAT 460 | Statistical Research/Practicum | 4 |

STAT 495 | Individual Study | 2 OR 4 |