#### College of Natural and Health Sciences

##### School of Mathematical Sciences

Please note: All students are required to complete a web-based placement assessment called ALEKS to determine readiness for entry-level mathematics and statistics courses unless they meet certain exceptions. These exceptions are based on various factors such as SAT or ACT scores or previously earned mathematics credit in college-level courses or developmental education courses at a community college. Please see the Exceptions page at the UNC Math Placement website for complete details. Entry-level mathematics and statistics courses that require the ALEKS assessment include MATH 120, MATH 124, MATH 125, MATH 127, MATH 131, MATH 171, and STAT 150. More information on ALEKS and a link to the assessment can be found at www.unco.edu/nhs/mathematical-sciences/placement/.

## STAT 111 Introduction to Data Science

Introduction to elements of Data Science and elementary tools, programming languages, and techniques for data collection, visualization, computations, and inference. Includes ethical issues with data collection and analysis.
3

### Prerequisites

(ALEKS Test Score with a minimum score of 025 or Completion of LC2-Mathematics course or Completion of LAX1-Mathematics course)

LAX1-Mathematics

## STAT 149 Supplemental Statistics

In this supplementary course we will develop critical thinking, ethical decision-making, and effective communication. The course will provide supplemental academic support for students enrolled in Introduction to Statistical Analysis (STAT 150). This will include content review, study skills, and effective strategies for success in STAT 150. S/U graded.
1

STAT 150

### Repeatable Status

Course is repeatable with no limitations

### Course Fee

Differential Tuition Required

## STAT 150 Introduction to Statistical Analysis

Prerequisite: Two years of high school algebra with a grade of C or better. Study techniques used in organizing data, including frequency distributions, histograms, measures of central tendency, measures of dispersion, probability distributions, point estimation, interval estimation and testing hypotheses.
3

### Course Attribute

LAX1-Mathematics and GT Mathematics

## STAT 202 Data Visualization

Provides tools to prepare data, critique and improve visualizations of statistical data, learn visual encoding principles of quantitative information, and learn how these principles are applied to create effective visualizations.
3

### Prerequisites

STAT 150 with a minimum grade of C

### Course Fee

Differential Tuition Required

## STAT 211 Computational Tools for Data Analysis

Introduction of the tools, standards and practices for collecting, organizing, managing, exploring, and using data. Develop familiarity with computational tools and the preparation, analysis, and visualization of data and creating analysis tools for larger data sets.

3

### Prerequisites

(STAT 150 or STAT 250 with a minimum grade of C) and (CS 120 or CS 130 with a minimum grade of C)

### Offered

Generally offered Fall Annually

### Course Fee

Differential Tuition Required

## STAT 250 Statistics for Life Sciences

This course is an introduction to statistical methods in biological sciences. Topics include study designs, data visualization and exploration, basic probability with applications, and statistical inference for comparing multiple groups.

3

### Offered

Generally offered Fall and/or Spring Annually

### Course Attribute

LAX1-Mathematics and GT Mathematics

## STAT 311 Data Preparation and Analysis

This course provides direction on how to prepare real-world datasets for statistical analysis, as well as perform data cleansing, reformatting, and data wrangling. Students will perform exploratory data analysis using real-world datasets and develop data visualization to facilitate statistical inquiry.

3

### Prerequisites

STAT 211 with a minimum grade of C

### Offered

Generally offered Spring Even Years

### Course Fee

Differential Tuition Required

## STAT 320 Design and Analysis of Experiments

This course addresses planning and organization of experiments, including ethical considerations. One-factor experiments, randomized blocks, Latin squares and related designs, factorial designs and fractional factorial designs, response surface methodology, nested and split-plot designs.

3

### Prerequisites

(STAT 150 or STAT 250 with a minimum grade of C) and (STAT 211 with a minimum grade of C)

### Offered

Generally offered Fall Odd Years

### Course Fee

Differential Tuition Required

## STAT 330 Regression Analysis

This course introduces basic regression techniques, focusing on the theoretical foundations of regression analysis and its application to real data sets. Emphasis is placed on specifying and interpreting regression models.

3

### Prerequisites

(STAT 150 or STAT 250 with a minimum grade of C) and (STAT 211 with a minimum grade of C)

### Offered

Generally offered Fall Even Years

### Course Fee

Differential tuition required

## STAT 355 Introduction to Applied Statistics and Probability

Introduces conceptions of statistics, data analysis, and concepts of probability. Focus is on understanding variability and probability, sampling and random variables, descriptive and inferential statistics.
3

### Prerequisites

Concurrent Prerequisite MATH 132 with a minimum grade of C

### Course Fee

Differential Tuition Required

## STAT 411 Fundamentals of Data Science

This course is an introduction to the elements of data science. Topics include data visualization, data wrangling, statistical learning and predictive analytics, text mining and spatial data.
3

### Course Fee

Differential Tuition Required

## STAT 422 Directed Studies

Individualized investigation under the direct supervision of a faculty member. (Minimum of 37.5 clock hours required per credit hour.)
1- 3

### Special Notes

Maximum concurrent enrollment is two times.

### Course Attribute

Variable Title Course

### Repeatable Status

Course is repeatable with no limitations

### Course Fee

Differential Tuition Required

## STAT 440 Applied Multivariate Statistical Analysis

This course introduces three classes of multivariate statistical methods: factor analysis, multidimensional scaling (MDS), and cluster analysis emphasizing exploratory applications and learning about the structure of a data matrix.

3

### Prerequisites

(STAT 150 or STAT 250 with a minimum grade of C) and (STAT 211 with a minimum grade of C)

### Offered

Generally offered Fall Odd Years

### Course Fee

Differential Tuition Required

## STAT 451 Intermediate Applied Statistics

A course on the application and practice of statistics in Natural and Health Sciences. Courses covers using modern computational tools: inferential statistics, multivariate regression, experimental design, ANOVA and non-parametric statistics.

3

### Prerequisites

(STAT 150 or STAT 250 with a minimum grade of C or STAT 355 or MATH 350 with a minimum grade of D-)

### Offered

Generally offered Fall Annually

### Course Fee

Differential Tuition Required

## STAT 489 Project in Data Science

This is a project course in data science and related fields. Interdisciplinary teams will analyze a new data science problem, develop a model, and control for error and overfitting.
2

### Prerequisites

STAT 411 with a minimum grade of C

### Mutually Exclusive Course

Credit allowed for only one of these courses: CS 489 and STAT 489

### Course Fee

Differential Tuition Required

## STAT 490 Statistics Capstone

Students gain experience applying a broad range of statistical techniques to real-world data, interpreting findings, and communicating results through the completion of a project.

3

### Offered

Generally offered Spring Annually

### Program Restrictions

Include Mathematics:Stat & Data Sci-BS and Statistics-BS

### Class Restriction

Include Junior and Senior

### Repeatable Status

Course is repeatable with a maximum of 6 credit hours

### Course Fee

Differential Tuition Required

## STAT 495 Topics in Statistics

Explores advanced topics in statistics not included in existing courses, reflecting specific interests of students and instructors.

1-4

### Offered

Generally offered Fall, and/or Spring - Check with department/school for next offering

### Course Attribute

Variable Title Course

### Repeatable Status

ST - Repeatable under different subtitles with no limits on the number of times it can be repeated

### Course Fee

Differential Tuition Required

## STAT 497 Statistics Project

A substantial independent project in the area of statistics, carried out by the student with the guidance of a faculty mentor.

1-4

### Special Notes

Consent of instructor required.

### Offered

Generally offered Fall, Interim, Spring, and/or Summer - Check with department/school for next offering

### Repeatable Status

Course is repeatable with a maximum of 8 credit hours

### Course Fee

Differential Tuition Required