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INFO-H 695 Thesis/Project in Applied Data Science

1-6 credits

Prerequisites: INFO-I 575 Informatics Research Design or LIS-S 506 Introduction to Research or another approved graduate-level course on research design and methods

The student prepares and presents a thesis or project in applied data science. The thesis is a substantial multi-chapter paper or carefully designed and evaluated application, based on well-planned research or a scholarly project. Details are worked out between the student and an advising faculty member.

Learning Outcomes

  1. Evaluate the research literature critically, interpreting data science contributions, deficiencies, and theories with respect to the thesis/project research problem, aims, questions or hypotheses, and methods.
  2. Assess the research designs of published research articles in data science.
  3. Formulate specific research aims, questions, or hypotheses within a topic area of data science.
  4. Determine appropriate research methods to answer particular research questions, to test hypotheses, or to evaluate algorithms or systems.
  5. Analyze data using appropriate quantitative methods.
  6. Critique peers’ research designs and provide generative feedback.
  7. Design, develop, and write a research thesis or project proposal and defend it before a research committee.
  8. Execute the research proposal, developing a system and/or collecting data, based on the research plan, and abiding by ethical standards for conducting research.
  9. Write a thesis/project report and defend it before a research committee.

Course Delivery

  • On-Campus
  • Online

Course Schedule

Syllabi