Note: All summer 2026 tuition rates and fees are pending approval.

 

Statistics

College of Arts & Sciences

  • Statistics 2

    CAS MA 116

    Undergraduate Prerequisites: (CASMA115) or equivalent. - Introduces basic statistical modeling techniques. One- or two- sample inference for unknown means, proportions and variances, categorical data analysis, introduction to design of experiments and analysis of variance, analysis of simple and multiple linear regression models, non-parametric methods. CAS MA 116 may not be taken for credit by any student who has completed any CAS MA course numbered 300 or higher. Students may receive credit for not more than one of the following courses: CAS MA 116, CAS MA 214, or CAS MA 614. Carries MCS divisional credit in CAS. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 2 (June 29-August 7)

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  • Applied Statistics

    CAS MA 214

    Undergraduate Prerequisites: CASMA 213 or CASMA 115 or CASMA 113 or CDSDS 120 or CASCS 237 or consent of instructor. - Students may receive credit for not more than one of the following courses: CASMA 116, MA 214, or MA 614. Inference about proportions, goodness of fit, student's t-distribution, tests for normality; two-sample comparisons, regression and correlation, tests for linearity and outliers, residual analysis, contingency tables, analysis of variance. Effective Fall 2018, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Teamwork/Collaboration. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking, Teamwork/Collaboration. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 2 (June 29-August 7)

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  • Probability

    CAS MA 581

    Undergraduate Prerequisites: (CASMA 225 OR CASMA 230 or CDSDS 122) or consent of instructor. - Basic probability, conditional probability, independence. Discrete and continuous random variables, mean and variance, functions of random variables, moment generating function. Jointly distributed random variables, conditional distributions, independent random variables. Methods of transformations, law of large numbers, central limit theorem. Cannot be taken for credit in addition to CASMA 381. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 2 (June 29-August 7)

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  • Mathematical Statistics

    CAS MA 582

    Undergraduate Prerequisites: (CASMA 581 or ENGEK 381 or ENGEK 500) or consent of instructor. - Point estimation including unbiasedness, efficiency, consistency, sufficiency, minimum variance unbiased estimator, Rao-Blackwell theorem, and Rao-Cramer inequality. Maximum likelihood and method of moment estimations; interval estimation; tests of hypothesis, uniformly most powerful tests, uniformly most powerful unbiased tests, likelihood ratio test, and chi-square test. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 2 (June 29-August 7)

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  • Elementary Statistics

    CAS MA 113

    Basic concepts of estimation and tests of hypotheses, ideas from probability; one-, two-, and multiple-sample problems. Applications are in the social sciences, and students will be able to understand the basics of using a sample to predict uncertainty. CAS MA 113 may not be taken for credit by any student who has completed any CAS MA course numbered 300 or higher. Students may receive credit for not more than one of the following courses: CAS MA 113, CAS MA 115, or CAS MA 213. Carries MCS divisional credit in CAS. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 1 (May 12-June 26)

    Summer 2 (June 29-August 14)

    Summer 2 (June 29-August 7)

    For information about technology requirements for online courses at Boston University, see bu.edu/online/technology. BU Virtual can be reached at buvirtual@bu.edu or 617-358-1960 for additional information.

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  • Statistics 1

    CAS MA 115

    Numerical and graphical summaries of univariate and bivariate data. Basic probability, random variables, binomial distribution, normal distribution. One-sample statistical inference for normal means and binomial probabilities. Primarily for students in the social sciences with limited mathematics preparation. CAS MA 115 may not be taken for credit by any student who has completed any CAS MA course numbered 300 or higher. Students may receive credit for not more than one of the following courses: CAS MA 113, CAS MA 115, or CAS MA 213. Carries MCS divisional credit in CAS. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 2 (June 29-August 7)

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  • Basic Statistics and Probability

    CAS MA 213

    Undergraduate Prerequisites: good background in high school algebra. - Elementary treatment of probability densities, means, variances, correlation, independence, the central limit theorem, confidence intervals, and p-values. Students learn to answer questions such as how can a pollster use a sample to predict the uncertainty of an election' Students may receive credit for not more than one of the following courses: CAS MA 113, CAS MA 115, or CAS MA 213. Carries MCS divisional credit in CAS. Effective Fall 2020, this course fulfills a single unit in each of the following BU Hub areas: Quantitative Reasoning II, Critical Thinking, Teamwork/Collaboration. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

    Summer 2 (June 29-August 7)

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Metropolitan College

  • Foundations of Analytics and Data Visualization

    MET CS 544

    Prerequisites: MET LB 103, MET LB 104, and (METCS 520 or METCS 521), or equivalent knowledge, or consent of instructor. The goal of this course is to provide students with the mathematical and practical background required in the field of data analytics. Probability and statistics concepts will be reviewed as well as the R tool for statistical computing and graphics. Different types of data are investigated along with data summarization techniques and plotting methods. Data populations using discrete, continuous, and multivariate distributions are explored. Sampling methods and errors during measurements and computations are analyzed in the course. String manipulations and data wrangling methods are examined in detail. The concepts covered in the course are demonstrated using R. Laboratory Course. Restrictions: This course may not be taken in conjunction with MET CS 550. 4 cr. Tuition: $3380

    Summer 1 (May 19-June 26)

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