MISM 6212 — Data Mining and Machine Learning for Business

3 semester hoursGraduateLectureusually offered: fall, spring, summertypical days: MBostonNo campus, no room neededOnlineOne-On-OneOnlineTraditional

Examines data mining perspectives and methods in a business context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students use contemporary data mining software applications and practice basic programming skills. Focuses on solving real-world problems, which require data cleaning, data transformation, and data modeling.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Summer B 202311910019%81.0
Fall 202325114036%44.5
Spring 2024417623077%13.5
Summer A 20241374093%3.0
Summer B 202411710017%83.0
Fall 20241104025%30.0
Spring 2025514024557%21.0
Summer A 20252545598%0.5
Fall 202523224013%104.0
Spring 2026511818066%12.4

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 54% · T 13% · W 14% · Th 6% · F 0%

Common patterns: M (40% of sections), async (27% of sections), MW (14% of sections), T (13% of sections), R (6% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Summer A

Summer B

Percentages are each professor's average share of the season's enrolled students in recent terms.

Links

Official catalog (MISM course descriptions) · Student reviews on RateMyHusky · All MISM courses · Plan it at numap.app

More

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 "retired": true,
 "retiredSince": "2026-09-03"
}