About Data Curation

Data curators work alongside data engineers and data scientists to design, implement, and apply data management techniques to relevant data sets. Graduates of the program will gain the skills to identify reliable data sources, analyze data in various formats, and design and maintain big data and data analytics systems using the principles of data mining, data modeling, and data architecture.
Admission Overview


The minimum G.P.A. for admission is 2.75 (4 point scale) in a prior bachelor’s or post-baccalaureate degree (or cumulative credits after admission to a dual bachelor-master’s degree program.)Preference will be given to those students who:

  • have a baccalaureate degree in information sciences, computer information systems, computer science, engineering, statistics, or a related field.
  • Students with sufficient background gained through work experience or professional training in information technologies, such as networks, web services, and database development, will also be considered for admission to the program.

Those who have neither of the aforementioned qualifications will be encouraged to take the following prerequisites, or their equivalents, before taking related courses:

If taken, these courses must have been completed within the last five years with a grade of B or better (B- not acceptable)
INFOST 240 Web Design I 3
INFOST 410 Database Information Retrieval Systems 3
INFOST 440 Web Application Development 3
Credits and Courses

To complete the requirements for the data curation certificate, students must complete:

INFOST 582G Introduction to Data Science 3
INFOST 771 Data Curation 3
Select a minimum of 9 credits from the following 9
INFOST 465G Legal Aspects of Information Products and Services
INFOST 655G Information and Records Management
INFOST 656G Electronic Documents and Records Management
INFOST 660G Information Policy
INFOST 661G Information Ethics
INFOST 687G Data Analysis for Data Science
INFOST 691G Special Topics in Information Science: (with relevant topic)
INFOST 714 Metadata
INFOST 716 Thesaurus Construction
INFOST 717 Information Architecture
INFOST 719 Advanced Topics in Information Organization (with relevant topic)
INFOST 761 Information Privacy
INFOST 780 XML for Libraries
INFOST 783 Information Storage and Retrieval
INFOST 785 Database Management Systems for Information Professionals
Total Credits 15

Relevant courses from other units on campus will also be considered, including:

BUS ADM 749 Data and Information Management 3
COMPSCI 411G Machine Learning and Applications 3
COMPSCI 425G Introduction to Data Mining 3
COMPSCI 557G Introduction to Database Systems 3
COMPSCI 723 Natural Language Processing 3
COMPSCI 744 Text Retrieval and Its Applications in Biomedicine 3
COMPSCI 751 Switching and Automata Theory 3
HCA 745 Health Big Data Processing Platforms 3
HCA 760 Biomedical and Healthcare Terminology and Ontology 3

See UWM Catalog for a complete list of courses and requirements: