Data Analytics Focus Area - Master of Information Management (MIM)

Our focus area in data analytics intends to inspire our students with a fascination with data and information, a respect for the elegance of analytics, and an adoration of the beauty of data visualization. Students are trained in the use of machine learning, artificial intelligence, and other advanced methods of analysis, as well as understanding how big data infrastructures and tools can be leveraged to implement scalable analytics solutions that transform data into meaningful insights that drive social and organizational decision making.

Graduates are poised for careers as:

  • Data Analysts
  • Quantitative Analysts
  • Data Scientists
  • Business Analysts
  • Data Engineers
  • Data Visualization Specialists
  • Data Analytics Specialists
  • Machine Learning Engineers
  • Machine Learning Scientists
  • Business Intelligence Developers

Note: Courses are listed in their estimated semester of being offered.
Current students should speak with their academic advisor and refer to the MIM handbook or MIM Student Portal on ELMS for suggested academic plans.

For students entering MIM without programming experience:

Fall:

  • INST-627: Data Analytics for Information Professionals
    • Prerequisites: N/A
  • INST-630: Introduction to Programming for the Information Professional
    • Prerequisites: N/A
  • INST-737: Introduction to Data Science
    • Prerequisites: INFM-603, INST-627
    • Advanced Technology Elective
  • INST-754: Data Preparation & Integration for Analytics
    • INFM-600, INFM-603, INST-630, INST-733 or instructor permission

Spring:

  • INST-750: Advanced Data Science
    • Prerequisites: INFM-603, INST-737
    • Advanced Technology Elective
  • INST-630: Introduction to Programming for the Information Professional
    • Prerequisites: N/A
  • INST-733: Database Design
    • Prerequisites: INFM-603
    • Advanced Technology Elective

For students entering MIM with programming experience:

Fall:

  • INST-627: Data Analytics for Information Professionals
    • Prerequisites: N/A
  • INST-737: Introduction to Data Science
    • Prerequisites: INFM-603, INST-627
    • Advanced Technology Elective
  • INST-754: Data Preparation & Integration for Analytics
    • INFM-600, INFM-603, INST-630, INST-733 or instructor permission

Spring:

  • INST-750: Advanced Data Science
    • Prerequisites: INFM-603, INST-737
    • Advanced Technology Elective
  • INST-733: Database Design
    • Prerequisites: INFM-603
    • Advanced Technology Elective
  • INST-767: Big Data Infrastructure
    • Prerequisites: INST-737
    • Advanced Technology Elective
  • INST-751: IoT and Streaming Analytics
    • Prerequisites: INST-737
    • Advanced Technology Elective
       

 

 

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