Data Analytics

MGMT-6600

The world at-large is confronted with increasingly larger and complex sets of structured/unstructured information; from cyber and human sources. Traditional enterprises are moving toward analytics-driven approaches for core business functions. Data and information analytics extends analysis (descriptive models of data) by using data mining and machine learning methods, with optimization and validation, to recommend action or guide and communicate decision-making. Thus, analytics is an entire methodology rather than individual analyses or analysis steps. When Offered:Fall term annually.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 13/10
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 0/15
2022
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 11/10
Data Analytics (3c)
  • Thilanka Munasinghe
Seats Taken: 11/15
2021
2020
2019
2018
2017
2016
2015
2014
R&d Management (3c)
  • Pier A Abetti
Seats Taken: 7/20
2013
R&d Management (3c)
  • Pier A Abetti
Seats Taken: 5/20
2012
R&d Management (3c)
  • Pier A Abetti
Seats Taken: 12/20
2011
2010
Research & Development Mgmt (3c)
  • Pier A Abetti
Seats Taken: 7/25
2009
Research & Development Mgmt (3c)
  • Pier A Abetti
Seats Taken: 7/25
2008
Research & Development Mgmt (3c)
  • Pier A Abetti
Seats Taken: 8/25
2007
Research & Development Mgmt (3c)
  • Pier A Abetti
Seats Taken: 3/35