INFO 7390 — Advances in Data Sciences and Architecture

4 semester hoursGraduateLectureusually offered: fall, springtypical days: ThArlington, VABostonOakland, CAOnlineToronto, CanadaOnlineTraditional

Covers a wide range of skills and responsibilities that are necessary for managing complex business performance and operational data. Such data tend to be fragmented, poorly organized, and often flawed. Offers students an opportunity to learn how a more up-to-date mapping of complex data works and to be alerted to the care and attention they must give to such a task as well as the implications of the results. Covers best practices for managing all aspects of the data transformation life cycle, covering broad areas such as requirements gathering, meta-model design, data integration and transformation, as well as implementation and ongoing operations. Discusses tools for mapping fragmented data into business intelligence solutions that guide successful strategies.

Prerequisites

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 202328615057%32.0
Spring 2024410620053%23.5
Fall 202426913053%30.5
Spring 202535216931%39.0
Fall 20252398049%20.5
Spring 2026195018%41.0

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 48% · T 1% · W 6% · Th 51% · F 0%

Common patterns: MR (38% of sections), async (27% of sections), R (13% of sections), M (10% of sections), W (6% of sections), S (6% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

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

Unlocks

INFO 7250

Courses that list INFO 7390 in their prerequisites.

Links

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