Department of Statistics
Bachelor of Science in Statistics
Students on Summer 2024, Fall 2024, or Spring 2025 requirements STATBS
Requirements
The major requires at least 31 credit hours (46 with the Addenda requirements), including the requirements listed below.
- Core Statistics Courses.
- Statistical Inference. One (1) course:
- STAT-S 320 Introduction to Statistics
- STAT-S 350 Introduction to Statistical Inference
STAT-S 320 Introduction to Statistics
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-S 212, MATH-M 301, MATH-M 303, or MATH-S 303
- Description
- Basic concepts of data analysis and statistical inference, applied to 1-sample and 2-sample location problems, the analysis of variance, and linear regression. Probability models and statistical methods applied to practical situations using actual data sets from various disciplines.
- Repeatability
- Credit given for only one of STAT-S 320 or STAT-S 350.
- Fall 2024CASE NMcourse
STAT-S 350 Introduction to Statistical Inference
- Credits
- 3
- Prerequisites
- One of the following: (1) (MATH-M 118, MATH-A 118, MATH-S 118, MATH-V 118, or [MATH-D 116 and MATH-D 117]) and (MATH-M 119, MATH-J 113, or MATH-V 119) and (STAT-H 100, STAT-K 310, STAT-S 100, STAT-S 211, STAT-S 300, STAT-S 301, STAT-S 303, ANTH-A 306, CJUS-K 300, ECON-E 370, ECON-S 370, MATH-E 265, MATH-M 365, POLS-Y 395, PSY-K 300, PSY-K 310, SOC-S 371, SPEA-K 300, or SPH-Q 381); (2) or (MATH-M 119 and MATH-X 201); (3) or MATH-M 211; or (4) (MATH-M 212 or MATH-S 212); (5) or consent of instructor
- Description
- Explores the formulation of statistical inference using probability models. Addresses point estimation, hypothesis testing, and set estimation for various models, including 1-, 2-, and K-sample location problems, goodness-of-fit, correlation and regression.
- Repeatability
- Credit given for only one of STAT-S 320 or STAT-S 350.
- Fall 2024CASE NMcourse
- Data Modeling and Inference. One (1) course:
- STAT-S 352 Data Modeling and Inference
STAT-S 352 Data Modeling and Inference
- Credits
- 3
- Prerequisites
- STAT-S 320 or STAT-S 350; or consent of instructor
- Description
- Intermediate-level survey of resampling, likelihood, and Bayesian methods of statistical inference. Distributional models of various data types. Categorical, count, time-to-event, time series, linear models, and hierarchical regression models.
- Introduction to Statistical Theory. One (1) course:
- STAT-S 420 Introduction to Statistical Theory
STAT-S 420 Introduction to Statistical Theory
- Credits
- 3
- Prerequisites
- STAT-S 320 or STAT-S 350; and MATH-M 463 or MATH-S 463; or consent of instructor
- Description
- Fundamental concepts and principles of data reduction and statistical inference, including the method of maximum likelihood, the method of least squares, and Bayesian inference. Theoretical justification of statistical procedures introduced in STAT-S 320.
- Applied Linear Models I. One (1) course:
- STAT-S 431 Applied Linear Models I
STAT-S 431 Applied Linear Models I
- Credits
- 3
- Prerequisites
- (STAT-S 350 and one of MATH-M 301, MATH-M 303, or MATH-S 303); or MATH-E 201; or consent of instructor
- Description
- Part I of a two-semester sequence on linear models. Presents the analysis of simple and multiple linear regression in the presence of simple and complex regressors. Introduces transformations, regression diagnostics, influence analysis, and regression shrinkage methods.
- Applied Linear Models II. One (1) course:
- STAT-S 432 Applied Linear Models II
STAT-S 432 Applied Linear Models II
- Credits
- 3
- Prerequisites
- STAT-S 431; or consent of instructor
- Description
- Part II of a two-semester sequence on linear models, emphasizing linear regression and the analysis of variance, including topics from the design of experiments and culminating in the general linear model.
- Statistical Consulting. One (1) course:
- STAT-X 498 Statistical Consulting
STAT-X 498 Statistical Consulting
- Credits
- 4
- Prerequisites
- Consent of instructor
- Description
- Development of effective consulting skills, including the conduct of consulting sessions, collaborative problem-solving, using professional resources, and preparing verbal and written reports. Interactions with clients will be coordinated by the Indiana Statistical Consulting Center.
- Repeatability
- Credit given for only one of STAT-S 490 or STAT-X 498.
- Statistical Inference. One (1) course:
- Probability. One (1) course:
- MATH-M 463 Introduction to Probability Theory I
- MATH-S 463 Honors Course in Probability Theory I
MATH-M 463 Introduction to Probability Theory I
- Credits
- 3
- Prerequisites
- MATH-M 301, MATH-M 303, or MATH-S 303; and MATH-M 311 or MATH-S 311
- Description
- The meaning of probability. Random experiments, conditional probability, independence. Random variables, expected values and standard deviations, moment generating functions. Important discrete and continuous distributions. Poisson processes. Multivariate distributions, basic limit laws such as the central limit theorem.
- Repeatability
- Credit given for only one of MATH-M 463 or MATH-S 463.
MATH-S 463 Honors Course in Probability Theory I
- Credits
- 3
- Prerequisites
- MATH-S 303 and MATH-S 311; or consent of instructor
- Description
- Honors version of MATH-M 463. For students of outstanding ability in mathematics.
- Statistics Electives. Two (2) courses:
- Any STAT-S 400–499 except STAT-S 420; STAT-S 431; STAT-S 432
- Computer Proficiency. One (1) course:
- CSCI-C 200 Introduction to Computers and Programming
CSCI-C 200 Introduction to Computers and Programming
- Credits
- 4
- Prerequisites
- High school precalculus math
- Description
- This course is an introduction, broadly, to algorithmic thinking and, specifically, to programming. It teaches the basics of programming using real world applications in natural, physical and social sciences. Students will develop ability to program by identifying problems in real world and then creating a program that solves the problem.
- Repeatability
- Credit given for only one of CSCI-C 200, CSCI-C 211, CSCI-H 211, or CSCI-A 591.
- Addenda Requirements*.
- Calculus I. One (1) course:
- MATH-M 211 Calculus I
- MATH-S 211
MATH-M 211 Calculus I
- Credits
- 4
- Prerequisites
- None
- Notes
- R: To be successful, students will demonstrate mastery of two years of high school algebra, one year of high school geometry, and pre-calculus, and trigonometry as indicated by an appropriate ALEKS score or completion of MATH-M 027
- Description
- Limits, continuity, derivatives, definite and indefinite integrals, applications.
- Repeatability
- A student may receive credit for only one of the following: MATH-J 113, MATH-M 119, MATH-V 119, MATH-M 211, or MATH-S 211.
- Fall 2024CASE MMcourse
- Fall 2024CASE NMcourse
- Calculus II. One (1) course:
- MATH-M 212 Calculus II
- MATH-S 212 Honors Calculus II
MATH-M 212 Calculus II
- Credits
- 4
- Prerequisites
- MATH-M 211 or MATH-S 211; or consent of department
- Description
- Techniques of integration (by parts, trigonometric substitutions, partial fractions), improper integrals, volume, work, arc length, surface area, infinite series.
- Repeatability
- Credit given for only one of MATH-M 120 or MATH-M 212.
- Fall 2024CASE NMcourse
MATH-S 212 Honors Calculus II
- Credits
- 4
- Prerequisites
- MATH-S 211 or consent of department
- Description
- Includes material of MATH-M 212 and supplemental topics. Designed for students of outstanding ability in mathematics.
- Repeatability
- Credit given for only one of MATH-M 120, MATH-M 212, or MATH-S 212.
- Fall 2024CASE NMcourse
- Calculus III. One (1) course:
- MATH-M 311 Calculus III
- MATH-S 311 Honors Course in Calculus III
MATH-M 311 Calculus III
- Credits
- 4
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212
- Description
- Elementary geometry of 2, 3, and n-space; functions of several variables; partial differentiation; minimum and maximum problems; multiple integration.
- Fall 2024CASE NMcourse
MATH-S 311 Honors Course in Calculus III
- Credits
- 4
- Prerequisites
- MATH-S 212 or consent of instructor; and MATH M-301, MATH M-303, or MATH S-303
- Description
- Honors version of MATH-M 311, covering geometry of 2, 3, and n-space; functions of several variables; partial differentiation; minimum and maximum problems; and multiple integration. For students with unusual aptitude and motivation.
- Repeatability
- Credit given for only one of MATH-M 311 or MATH-S 311.
- Fall 2024CASE NMcourse
- Linear Algebra. One (1) course:
- MATH-M 301 Linear Algebra and Applications
- MATH-M 303 Linear Algebra for Undergraduates
- MATH-S 303 Honors Course in Linear Algebra
MATH-M 301 Linear Algebra and Applications
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212; or MATH-M 211 and CSCI-C 241; or MATH-S 211 and CSCI-C 241
- Description
- Solving systems of linear equations, matrix algebra, determinants, vector spaces, eigenvalues and eigenvectors. Selection of advanced topics. Applications throughout. Computer used for theory and applications.
- Repeatability
- Credit given for only one of MATH-M 301 or MATH-M 303.
- Fall 2024CASE NMcourse
MATH-M 303 Linear Algebra for Undergraduates
- Credits
- 3
- Prerequisites
- MATH-M 212, MATH-M 213, or MATH-S 212; or MATH-M 211 and CSCI-C 241; or MATH-S 211 and CSCI-C 241
- Description
- Introduction to the theory of real vector spaces. Coordinate s, linear dependence, bases. Linear transformations and matrix calculus. Determinants and rank. Eigenvalues and eigenvectors.
- Repeatability
- Credit given for only one of MATH-M 301, MATH-M 303, or MATH-S 303.
- Fall 2024CASE NMcourse
MATH-S 303 Honors Course in Linear Algebra
- Credits
- 3
- Prerequisites
- Consent of department
- Description
- Honors version of MATH-M 303. For students with unusual aptitude and motivation.
- Repeatability
- Not open to those who have had MATH-M 301 or MATH-M 303.
- Fall 2024CASE NMcourse
- Calculus I. One (1) course:
- Major GPA, Hours, and Minimum Grade Requirements.
- Major GPA. A GPA of at least 2.000 for all courses taken in the major—including those where a grade lower than C- is earned—is required.
- Major Minimum Grade. Except for the GPA requirement, a grade of C- or higher is required for a course to count toward a requirement in the major.
- Major Upper Division Credit Hours. At least 18 credit hours in the major must be completed at the 300–499 level.
- Major Residency. At least 18 credit hours in the major must be completed in courses taken through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
Notes
Major Area Courses
-
Unless otherwise noted below, the following courses are considered in the academic program and will count toward academic program requirements as appropriate:
- Any course at the 100–499 level with the
STATsubject area prefix—as well as any other subject areas that are deemed functionally equivalent - Any course contained on the course lists for the academic program requirements at the time the course is taken—as well as any other courses that are deemed functionally equivalent—except for those listed only under Addenda Requirements
- Any course directed to a non-Addenda requirement through an approved exception
- Any course at the 100–499 level with the
This program of study cannot be combined with the following:
- Minor in Statistics (STATMIN)
Exceptions to and substitutions for major requirements may be made with the approval of the unit's Director of Undergraduate Studies, subject to final approval by the College of Arts and Sciences.
The Bachelor of Science degree requires at least 120 credit hours, to include the following:
- College of Arts and Sciences Credit Hours. At least 100 credit hours must come from College of Arts and Sciences disciplines.
- Upper Division Courses. At least 36 credit hours (of the 120) must be at the 300–499 level.
- College Residency. Following completion of the 60th credit hour toward degree, at least 36 credit hours of College of Arts and Sciences coursework must be completed through the Indiana University Bloomington campus or an IU-administered or IU co-sponsored Overseas Study program.
- College GPA. A College grade point average (GPA) of at least 2.000 is required.
- CASE Requirements. The following College of Arts and Sciences Education (CASE) requirements must be completed:
- CASE Foundations
- CASE Breadth of Inquiry
- CASE Culture Studies
- Diversity in the United States: 1 course
- Global Civilizations and Cultures: Not required
- CASE Critical Approaches: 1 course
- CASE Foreign Language: Proficiency in a single foreign language through the first semester of the second year of college-level coursework
- CASE Intensive Writing: 1 course
- CASE Public Oral Communication: 1 course
- CASE Sustainability Literacy: 1 course
- Major. Completion of the major as outlined in the Major Requirements section above.
Most students must also successfully complete the Indiana University Bloomington General Education program.