Bachelor of Science in Applied Statistics

Collaborative Online Degree

This 100 percent online, consortial program is taught by IU South Bend, IU East, IU Purdue University Indianapolis, IU Northwest, and IU Southeast. This consortial model allows you to take coursework from several campuses and learn from a wide range of faculty.

This program is authorized, exempt, or not subject to state regulatory compliance and may enroll students from all 50 states.

Many online support services are available to assist you as you progress through the program.

Explanation

Admissions

To apply to this program

1. Complete application for admission.
2. Submit official transcripts.
3. International applicants may be asked for additional materials.
4. This program is offered by IU South Bend, IU East,IU Purdue University Indianapolis, IU Northwest, and IU Southeast. After applying, you will be assigned a home campus. You will submit application documents to the Office of Admissions of that campus.

Application Deadline

Rolling admissions. Application review will begin upon receipt of all required application materials.

Degree Requirements (120 cr.)

To graduate with the B.S. in Applied Statistics, you must complete a total of 120 credit hours. You may be able to transfer an associate degree or up to 64 credit hours from a regionally accredited two-year college and up to 90 credit hours from a regionally accredited four-year college or university. Course requirements fall into four categories and are defined by student learning outcomes.

• General Education Courses (33 cr.)
• Mathematics Core (22 cr.)
• Probability/Statistics Core (24 cr.)
• Programming Core (4 cr.)
• Upper-Level Statistics Electives (12 cr.)
• Free Electives (balance of credits needed to equal 120 credit requirement)

Mathematics Core (22 cr.)

• MATH-M 215 Calculus I (5 cr.)
• MATH-M 216 Calculus II (5 cr.)
• MATH-M 301 Linear Algebra and Applications; OR
  MATH-M 303 Linear Algebra for Undergraduate
• MATH-M 311 Calculus 3
• MATH-M 447 Mathematical Models and Applications I
• MATH-M 448 Mathematical Models and Applications II

Probability/Statistics Core (24 cr.)

• MATH-M 360 Elements of Probability; OR
  MATH-M 463 Introduction to Probability I
• MATH-M 366 Elements of Statistical Inference; OR
  MATH-M 466 Introduction to Mathematical Statistics; OR
  MATH-S 420 Introduction to Statistical Theory
• MATH-M 367 Introduction to Statistical Programming in R
• MATH-M 574 Applied Regression Analysis; OR
  STAT-S 431 Applied Linear Modeling
• STAT-S 352 Data Modeling and Inference
• STAT-S 437 Categorical Data Analysis
• STAT-S 470 Exploratory Data Analysis
• STAT-S 475 Statistical Learning and High Dimensional Data Analysis

Programming Core (4 cr.)

• CSCI-A 201 Introduction to Programming I

Upper-Level Electives (12 cr.)

Select four from the following:

• MATH-M 562 Statistical Design of Experiments
• MATH-M 576 Forecasting
• STAT-S 432 Applied Linear Models II
• STAT-S 437 Categorical Data Analysis
• STAT-S 450 Time Series Analysis