# Statistics Program Requirements

The statistics program emphasizes mathematical statistics and probability; applied statistical methods; data analytic and statistical computing skills; consulting and communication skills; and fieldwork experience.

## B.A. in Statistics

All courses that are required or may be used as electives for the major are included in the determination of the grade point average in the major. Since the statistics major is completed as part of a Bachelor of Arts degree, a minor or second major is required. A statistics major may NOT minor in mathematics.

### Requirements

#### Introductory Course – *3 credits*

- STAT 160 – P4 Introduction to Data Science (3)

#### Foundations Courses – *20 credits*

- MATH 120C – P4 Calculus I (4)
- MATH 122C – P4 Calculus II (4)
- MATH 232 – Linear Algebra (3)
- STAT 210 – Regression Analysis (3)
- STAT 220 – Experimental Design (3)
- STAT 222 – Nonparametric Statistics (3)

#### Mathematical Statistics – *6 credits*

- MATH 301 – Mathematical Statistics I (3)
- MATH 410 – Probability Models (3)

#### Lab Experience –*3 credits*

- STAT 375 – Data Analysis and Statistical Computing (3)

#### Electives – *6 credits*

Choose **TWO** electives from the following group. Courses not listed may be substituted with the approval of the major advisor.

- CSCI 260 – Introduction to Databases (3)
- MATH 302 – Mathematical Statistics II (3)
- STAT 250 – Geographic Info Systems (3)
- STAT 330 – Sample Survey Methods (3)
- STAT 345 – Predictive Analytics (3)
- STAT 355 – Social Network Analysis (3)
- STAT 370 – Meta-Analysis (3)
- STAT 390 – Special Topics in Statistics (3)
- STAT 405 – Statistical Inference (3)
- STAT 496 – Independent Study (3)

#### Capstone Experience – *3 credits*

Choose **ONE** of the following courses.

- STAT 480 – Statistics Capstone (3)
- STAT 490 – Field Experience (3)

**Total:** 41 credits

**Note:** *At least 21 of the required 41 credits (one half of the major) must be completed in residence at St. John Fisher College.*

## Inclusive Childhood Education Dual Major/Concentration in Statistics

Students pursuing inclusive childhood teaching certification must declare either a second major or a concentration in a liberal arts field. Either choice results in a *Bachelor of Science* degree. Inclusive childhood education majors who wish to pursue a * dual major* with statistics take all of the major requirements as listed above in addition to meeting all of the inclusive childhood education requirements (49-52 credits: see Inclusive Childhood Education for details). If an inclusive childhood education major wishes to complete a

*in statistics, the Department of Mathematical and Computing Sciences has outlined the following courses which meet the New York state requirements for a liberal arts concentration in this field:*

**concentration**- MATH 120C - P4 Calculus I (4)
- MATH 122C - P4 Calculus II (4)
- MATH 301 - Mathematical Statistics (3)
- STAT 160 - P4 Introduction to Data Science (3)
- STAT 210 - Regression Analysis (3)
- STAT 370 - Meta-analysis (3)
- STAT 330 - Sample Survey Methods (3)
- STAT 375 - Data Analysis and Statistical Computing (3)
- STAT elective at 200 level or above (3)
- Choose
**ONE**:- MATH 302 - Mathematical Statistics II (3)
- MATH 410 - Probability Models (3)
- STAT elective at 200 level or above (3)

**Total:** 32 credits

## Minor in Statistics

There is no minor in statistics. However, the College now offers a minor in data science.

**Note:** *The information here is provided for informational purposes only. For exact requirements as well as course descriptions, visit the Undergraduate Catalog.*