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Program checklist · Certificate

Data Analysis and Visualization Certificate (AVCT)

Rensselaer Polytechnic Institute · Troy, NY

A checklist is the list of requirements to complete this program and receive the award, as the college publishes it in its catalog. It is the same for everyone. It does not say what you have completed; that comes from applying your own record.

Program
Award
Certificate
Credential class
ceterms:Certificate
CIP
30.7104
Credits (computed from items)
12
Catalog edition
2026-2027
Checklist type
degree-program
Identifiers
IPEDS UNITID
194824
CourseShelf checklist
CK_194824_af2790f7
CollegeTransfer.Net
Institution Transfer Profile
Source
CourseShelf publish 61

Requirements to complete

Every course or condition the catalog lists, in the catalog's order.

Description

0 items

    Certificate Information

    7 items
    1. Successful completion of both courses results in an undergraduate certificate in Data Analysis and Visualization.
      Not resolved to a course
    2. The certificate may be taken as a “stand-alone” program, or combined with others to fulfill degree requirements, such as with the B. Tech in Production and Operations Management.
      Not resolved to a course
    3. The certificate is digitally delivered and comprises a combination of synchronous and asynchronous elements.
      Not resolved to a course
    4. Courses are taken for credit, and successful completion requires a GPA of 2.0 or better.
      Not resolved to a course
    5. Practitioner Faculty Mentors facilitate the course and projects and serve to evaluate learning in the projects and exercises.
      Not resolved to a course
    6. Admission into the program requires a minimum of three years of work experience and the completion of specific math requirements, including statistics, in addition to other RPI admissions requirements.
      Not resolved to a course
    7. For more information about application requirements, visit the program website – rpiatwork.rpi.edu.
      Not resolved to a course

    Certificate Learning Goals

    9 items
    1. Use probabilities and distributions in optimization to determine likely outcomes.
      Not resolved to a course
    2. Frame questions or inquiries that can be informed using data techniques.
      Not resolved to a course
    3. Hypothesize elements and factors influencing the “system” underlying the question or inquiry.
      Not resolved to a course
    4. Collect and analyze both quantitative and qualitative forms of data.
      Not resolved to a course
    5. Clean, transform, and augment data for analysis using the RPI SHOUT framework.
      Not resolved to a course
    6. Summarize data using descriptive statistics and summarization techniques.
      Not resolved to a course
    7. Utilize visualization techniques to extract knowledge from data relevant to the inquiry
      Not resolved to a course
    8. Deploy statistical techniques to evaluate relationships between variables relevant to the inquiry.
      Not resolved to a course
    9. Interpret and conclude from results in ways relevant to the inquiry.
      Not resolved to a course

    Curriculum

    2 items
    1. ESCI 4120
      Production Data and Statistics
      Not resolved to a course
      6
    2. ESCI 4125
      Data Visualization and Analytics
      Not resolved to a course
      6
    Source. Rensselaer Polytechnic Institute, catalog 2026-2027 — https://catalog.rpi.edu/preview_program.php?catoid=34&poid=10270&returnto=938. Captured page pages/0066.html.gz. Assembled from the institution's published catalog as captured; every record names its captured page and source URL. Assembled, not asserted.