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CIS 490: Introduction Data Science at Borough of Manhattan Community College

3 credits · Fall 2026

Introduction Data Science (CIS 490) at Borough of Manhattan Community College has 1 way to take it in Fall 2026. 1 of 1 section has an open seat right now.

The professor is: Hao Tang.

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

Requirements

Prerequisite: CIS 395 or department permission

About this course

This course introduces the fundamentals of managing large unstructured datasets that are in a variety of formats. The topics include the concept of big data, its characteristics (volume, velocity, variety, veracity); its data models (key value, graph etc.); its storage technologies (Hadoop); its processing tools (NoSQL, ETL, MapReduce) and its role in analytics.

Professors for CIS 490 at Borough of Manhattan CC, Fall 2026

Ordered chillest first. A Chill Rank compares a professor with other CUNY professors on Rate My Professors difficulty, rating and would-take-again; it needs at least 3 ratings. How it works

CIS 490 sections, times and seats

Seat status as of Oct 4, 5:04 PM ET. Seats can change between refreshes. How fresh is this?

Chill Rank compares professors using Rate My Professors reviews, from Chill to Brutal. What each rank means

0500-LEC Regular
Arranged · TBA
Online-Asynchronous
Hao TangChill Rank 3 of 5: Fair?★ 3.9(23)Difficulty 3.1/5 · 71% would take again
Online AsynchronousOpen

Questions about CIS 490 at Borough of Manhattan CC

Who teaches CIS 490 at Borough of Manhattan CC in Fall 2026?
Hao Tang is listed for Fall 2026. Each name links to a page with their Chill Rank and Rate My Professors numbers.
Is CIS 490 at Borough of Manhattan CC hard?
It depends on the professor. Across the 1 professor with a Chill Rank, students on Rate My Professors give an average difficulty of 3.1 out of 5. The Chill Rank above compares them directly.
What if a CIS 490 section is full?
Try another section, join the waitlist in CUNYfirst if there is one, or ask the department. You can also watch a full section and get an email when a seat opens; you still enroll yourself in CUNYfirst.