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Data Management

Master of Science in Information Management

Data Management Specialization of Study

The specialization in Data Management (DM) provides students with a greater level of understanding and competence in public and private sector best practices of managing and presenting data to include relational and object-oriented approaches to archiving, retrieving, and protecting information, as well as web-based user interfaces and geospatial information systems.

To complete the DM specialization, students in the IM degree program must take the two required courses (*) from the list below. In addition:

  • students in the main campus IM program must then take two more courses from the list
  • students in the mid-career IM program offered in Washington DC must take one more course from the list
  • students in the Maxwell School MPA or MAPA graduate program who want the DM specialization must take IST 618: Survey of Telecommunications and Information Policy, the two required (*) courses, plus one more from the list

                          IST 552* Information Systems Analysis
                 
                          IST 565 Data Mining

                          IST 600 Data Warehousing

                          IST 631 Theory of Classification and Subject Representation

                          IST 659* Data Administration Concepts and Database Management

                          IST 700  Advanced Database Management

                          IST 758 Designing Web-Based Database Systems 

Coursework targeted directly for preparation for the following DM-related positions:

  • Database Administrator/Analyst/Developer/Consultant/Researcher
  • Database Marketing /Data Mining/ Business Intelligence Analyst
  • Information Structure/Database Architect
Core competencies expected, and often required, in DM-related positions:
  • proficiency in SQL, ACCESS, MS SQL Server, Oracle (or similar) as well as general knowledge of relational and object-oriented database technology
  • understanding of current approaches to data modeling (tools such as ER-Win and Rational Rose), data mining, knowledge warehousing, data mart
  • ability to utilize enterprise architecture concepts to evaluate and develop data standards and related processes, especially expertise in XML
  • strong competency in systems development lifecycle methods for various data management requirements (both relational and object-oriented approaches)
  • competency in web-based data structure, storage, retrieval, management, and front-end integration
  • strong analytical skills and hands-on experience in utilizing analytical tools supporting database marketing/market research (such as SPSS, SAS, Clementine) are highly desirable
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