Undergraduate Programs


Data Science

  • DSCI-D 321 Data Representation (3 cr.) P: CSCI-A 310 or C 343. This course covers a wide variety of data representations and data processes that are core parts of the data/information ecosystem. The focus is on essential aspects and mechanisms of data engineering to prepare data for data science and machine learning problems and applications.
  • DSCI-D 351 Big Data Analytics (3 cr.) P: CSCI-A 310 or C 343. This course introduces the fundamentals of data science and big data analysis by focusing on: theoretical aspects, such as their philosophical grounds and implications, and methodological aspects, such as large-scale data processing, statistical analysis and machine learning, data retrieval and recommendation, data representation and semantics, along with several case studies.
  • DSCI-D 390 Undergraduate Independent Study (1-3 cr.) Department Approval. Independent research based on existing literature or original work. A report, in the style of a department technical report, is required. May be repeated for a maximum of 6 credit hours.

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