UMass Boston

View of University Hall and Campus Center from the water.
Computational Statistics

Course Overview

Date / Time Location Credits Minimium Tuition*
1/26/26 - 5/13/26
TuTh 5:30p.m. – 6:45p.m.		 University Hall Y04-4140 4 $3542 (guest students)
Date
1/26/26 - 5/13/26
Time
TuTh 5:30p.m. – 6:45p.m.
Location
University Hall Y04-4140
Credits
4
Min. Tuition*
$3542 (guest students)

Description

This course is an introduction to the fundamental ideas and techniques of statistical inference. The course demonstrates how and when to use statistical methods, explains the mathematical background behind them and illustrates them with case studies. Topics covered include the Central Limit Theorem, parameter estimation, confidence intervals, hypothesis testing, type I and II errors, power, significance level, p-value, likelihood ratiotests, t-test, paired and 2-population t-test, goodness-of-fit tests, contingency tables, exact tests, nonparametric tests, ANOVA and regression models. Statistical software such as R, Matlab, or Python, will be used to analyze real-world data.

Prerequisites

MATH 647 or permission of instructor.

Guest registration opens January 12

Return to Course List

Course Details

Session

Regular Academic Session

Class Dates

1/26/2026 - 5/13/2026

Location

University Hall Y04-4140

Enrolled / Capacity

16 / 30

Status

Closed

Instructor

To be Announced

Tuition*

$3542 (guest students)

* The tuition estimate is based on minimum, single-course cost to a new student who is a Massachusetts resident and not enrolled in a multi-course program. State residency, online/in person modality, and matriculation to a degree program may affect cost.

Tuition Details