Graduate Programs


Data Science

  • DSCI-D 532 Applied Database Technologies (3 cr.) This course aims to provide the basic overview of the current database landscape, starting with relational databases, SQL, and moving to several different NoSQL databases, such as XML database, MongoDB, Neo4j, Cassandra, and HBase.
  • DSCI-D 590 Topics in Data Science (1-3 cr.) Must be a student in the Data Science graduate program or instructor's permission. Variable topic. Emphasis on new developments and research in Data Science. May be repeated with different topics 3 times for a maximum of 12 credit hours.
  • DSCI-D 591 Graduate Internship (0-3 cr.) Department Approval. Students gain professional work experience in an industry or research organization setting using skills and knowledge acquired in Data Science coursework. A written report will be required upon completion of the experience. May be repeated for a maximum of 6 credit hours.
  • DSCI-D 592 Data Science in Practice (3 cr.) Students are organized into teams to carry out real world projects in conjunction with project sponsors, while learning about methodologies for data science consulting.
  • DSCI-D 699 Graduate Independent Study in Data Science (1-6 cr.) Must be a student in the Data Science graduate program. Independent Study under the direction of a faculty member, culminating in a written report and/or database development and/or documented laboratory experience. May be repeated 2 times for a maximum of 9 credit hours.

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