Advanced Data Mining

Fall 2022 > Management & Business > MIST.6160 > 082

Course No: MIST.6160-082; SIS Class Nbr: 12005; SIS Term: 3210
Course Status: Registration Closed

Course Description

The course will cover advanced data mining techniques with applications in different business domains. Students will be introduced to advanced analytic solutions aimed at addressing issues related to big data including volume, variety, and velocity. Topics will focus on performing descriptive and predictive analytics through programmatic analytic platforms as well as text analytics techniques for unstructured or semi-structured data. Concepts will be introduced through a hands-on approach using state-of-the-art analytic platforms and tools.

Prerequisites, Notes & Instructor

  • Prerequisites: MIST.6060 Data Mining for bus. Intel., or POMS.6120 Stat. for Predictive Analytics, or POMS.6220 Decision Analytics, or permission of graduate business programs coordinator.
  • Special Notes: If not currently matriculated in a Manning School of Business program, please contact the MBA staff at MBA@uml.edu or call 978-934-2848 for permission to take courses.
  • Credits: 3; Contact Hours: 3
  • Instructor: Prasad Kothapalli/Amit Deokar
  • UMass Lowell Bookstore

When Offered & Tuition

  • Online Course
  • 2022 Fall: Oct 24 to Dec 20
  • Course Level: Graduate
  • Tuition: $1965
  • Note: There is a $30 per semester registration fee for credit courses.

Related Programs: M.S. in Business Analytics, Online MBA

Every effort has been made to ensure the accuracy of the information presented in this catalog. However, the Division of Graduate, Online & Professional Studies reserves the right to implement new rules and regulations and to make changes of any nature to its program, calendar, procedures, standards, degree requirements, academic schedules (including, without limitations, changes in course content and class schedules), locations, tuition and fees. Whenever possible, appropriate notice of such changes will be given before they become effective.

Course Registration Closed

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