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MAT 367: Multivariate Analysis at John Jay College

3 credits · Fall 2026

Multivariate Analysis (MAT 367) at John Jay College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.

The professor is: Mallahe Chandrakantha.

Compare them below, check the days and times, and add the course to your schedule.

Requirements

Prerequisite: ENG 201 and MAT 302 and MAT 310

About this course

Multivariate statistical analysis refers to techniques for examining relationships among multiple variables at the same time. In this course students will study a variety of standard statistical methods used to analyze multivariate data, emphasizing the implementation and interpretations of these methods. Topics covered include matrix computation of summary statistics, graphical techniques, the multivariate normal distribution, MANOVA, principal component analysis, factor analysis, and other topics such as canonical correlation and cluster analysis. Students will use the R statistical computing package for data analysis.

Professors for MAT 367 at John Jay, Fall 2026

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MAT 367 sections, times and seats

Seat status as of Oct 4, 5:41 PM ET. Seats can change between refreshes. How fresh is this?

01-LEC Regular
Mon/Wed · 3:05 PM - 4:20 PM
New Bldg 6.64.02
Mallahe ChandrakanthaNo Rate My Professors rating found
In PersonOpen

Questions about MAT 367 at John Jay

Who teaches MAT 367 at John Jay in Fall 2026?
Mallahe Chandrakantha is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is MAT 367 at John Jay hard?
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