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• Plan of Study for M.S. in Applied Data Science with a specialization in UX design

Plan of Study for M.S. in Applied Data Science with a specialization in UX design

By earning an M.S. in Applied Data Science with a specialization in UX design, you’ll understand client-server application development and the ethical and professional management of informatics projects. Through your classes under the direction of our highly regarded faculty, gain competency in the application of human-computer interaction (HCI) theory and user-centered practices to user experience research and design.

• Fall Admission

  Fall Semester 1

  • INFO-I 501 Introduction to Informatics
  • LIS-S 511 Database Design
  • INFO-H 541 Interaction Design Practice

  Spring Semester 1

  • PBHL-B 670 Biostatistics in R or PSY 60000 Statistical Inference
  • INFO-H 516 Cloud Computing for Data Science
  • INFO-H 543 Interaction Design Methods

  Summer

  These summer courses are available online.

  • INFO-B 505 Informatics Project Management or LIS-S 506 Introduction to Research
  • Elective, if needed (e.g., INFO-I 595 Professional Internship, INFO-H 698 Research in Informatics)
  • HCI selective, if needed (e.g., INFO-H 563 Psychology of HCI)

  Fall Semester 2

  • INFO-H 517 Visualization Design, Analysis, and Evaluation
  • INFO-H 515 Data Analytics (Statistical Learning)

  Choose one (HCI selective):

  • INFO-H 561 Meaning and Form in HCI
  • INFO-H 563 Psychology of HCI
  • INFO-H 564 Prototyping for Interactive Systems
  • INFO-H 565 Collaborative and Social Computing
  • INFO-H 566 Experience Design for Ubiquitous Computing
  • INFO-H 567 Internet-of-Things Interface Design for Business Innovation
  • INFO-I 595 Professional Internship

• Spring Admission

  Spring Semester 1

  • INFO-I 501 Introduction to Informatics
  • INFO-B 512 Scientific and Clinical Data Management (or LIS-S 511 Database Design)
  • INFO-H 541 Interaction Design Practice

  Summer 1

  These summer courses are available online.

  • INFO-B 505 Informatics Project Management or LIS-S 506 Introduction to Research
  • Elective, if needed (e.g., INFO-I 595 Professional Internship, INFO-H 698 Research in Informatics)
  • HCI selective, if needed (e.g., INFO-H 563 Psychology of HCI)

  Fall Semester 1

  • PBHL-B 670 Biostatistics in R or PSY 60000 Statistical Inference
  • INFO-H 517 Visualization Design, Analysis, and Evaluation
  • INFO-H 543 Interaction Design Methods

  Spring Semester 2

  • INFO-H 515 Data Analytics (Statistical Learning)
  • INFO-H 516 Cloud Computing for Data Science

  Choose one (HCI selective):

  • INFO-H 561 Meaning and Form in HCI
  • INFO-H 563 Psychology of HCI
  • INFO-H 564 Prototyping for Interactive Systems
  • INFO-H 565 Collaborative and Social Computing
  • INFO-H 566 Experience Design for Ubiquitous Computing
  • INFO-H 567 Internet-of-Things Interface Design for Business Innovation
  • INFO-I 595 Professional Internship

The requirements are:

• INFO-H 541
• INFO-H 543
• HCI selective (see above)
• Graduate-level statistics (e.g., PBHL-B 670 Biostatistics in R, PSY 60000, ECON-E 570, HPER-T 591, PBHL-B 561, STAT 51100)
• Graduate-level databases (e.g., LIS-S 511, INFO-B 512, INFO-B 556)
• INFO-I 501
• INFO-I 515
• INFO-I 516
• INFO-I 518
• One of the following: approved data science elective, HCI selective, project management (e.g., INFO-I 506), research design (e.g., LIS-S 506, INFO-H 575), or research (e.g., INFO-I 698).