# Statistics

### Why Major in Statistics?

Statistics describes ways in which quantitative reasoning affects life and it develops skills to participate in such reasoning. Statistics is about acquiring data, understanding the data, and communicating the results of analysis to another audience. It is also about extracting information from the data to scientifically support the decision making process.

In recent years, statistics as a field of knowledge has become immensely important as its applications have emerged in many new areas. With the help of computers, data accumulated in various fields of science and business must be processed statistically in order to assist in decision making.  Finance and Health Science are two major fields which each year require more and more extensive use of statistical methods. In particular, stock market analysis and clinical trials are two of the most popular recent applications. The variety of new applications calls for a variety of new methods.  To be a front-runner, you have to be not just a user but also a developer of new statistical techniques. For that role you need extensive background both in mathematical foundations and computer implementations of Statistics.

### Major in Statistics (B.S.)

• 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

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) (4 cr.)
• MATH 128 Introduction to Discrete Mathematics (4 cr.)
• OR MATH 240 Linear Algebra (4 cr.)

Plus:

For Mathematical Statistics track:

• MATH 114 Calculus II (4 cr.)
• MATH 200 Multivariable Calculus (4 cr.)
• MATH 313 Probability (4 cr.)
• STAT 314 Mathematical Statistics (4 cr.)

or

For Applied Statistics track:

• STAT 220 Statistics I (4 cr.)
• STAT 310 Bio-Statistics (4 cr.)
• STAT 320 Statistics II (4 cr.)

Plus four credits from the following electives:

• IDTH 360 Advanced Statistical Software (4 cr.)
• IDTH 400 Data Mining and Machine Learning (4 cr.)
• IDTH 410 Operations Research I (4 cr.)
• IDTH 411 Operations Research II (4 cr.)