16 courses with the subject DSC, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
Data modeling introduces students to data science and modeling to solve real-world problems. This course develops advanced critical thinking of data ethics and social responsibilities. Meets with DSC 501 .
This course presents the student with foundational concepts, knowledge, and processes in the general discipline of data science, programming, statistical and probabilistic thinking. Same as SOC 305 .
Through case studies, data analysis, and class discussion, students will critically explore how algorithmic AI systems influence daily life, shape human behavior, and raise important questions about moral values, social responsibility, democratic governance, and the future of human society. Meets with DSC 523 .
An applied course designed for students to develop skills in business data analytics. Students will learn to apply analytical tools and AI, perform data visualization, and analyze complex datasets to support decision-making in accounting and business. Same as BUS 326 . Meets with BUS 526 .
In Database Management, students learn the theory of database systems and relational query languages for data analysis. Same as BUS 345 . Meets with DSC 545 .
In Data Visualization, students become effective data storytellers by creating rich visuals to represent and communicate data analysis. Same as BUS 363
In AI and Advanced Data Modeling, students learn the theoretical and practical application of the principles and techniques of statistical data analysis and AI. Meets with DSC 603.
Guided experience in approved positions with cooperating organizations. Written assignments, periodic conferences, and evaluation statement required. ACC 470 , ECN 470 , FIN 470 , MGT 470 , MKT 470 , RMI 470 , SPM 470 . Course may be repeated up to a total of 12 credits. Graded as Pass/Fail
The data science practicum involves data science or applied problem solving using data analytics. The experience provides students with the opportunity to analyze data, consider ethical and social implications of the analysis, and draw empirically grounded conclusions. Meets with DSC 680.
Data modeling introduces students to data science and modeling to solve real-world problems. This course develops advanced critical thinking of data ethics and social responsibilities. Meets with DSC 301 .
This course presents the student with foundational concepts, knowledge, and processes in the general discipline of data science, programming, statistical and probabilistic thinking. Meets with DSC 305 .
Through case studies, data analysis, and class discussion, students will critically explore how algorithmic AI systems influence daily life, shape human behavior, and raise important questions about moral values, social responsibility, democratic governance, and the future of human society. Meets with DSC 323 .
An applied course designed for students to develop skills in business data analytics. Students will learn to apply analytical tools and AI, perform data visualization, and analyze complex datasets to support decision-making in accounting and business. Same as BUS 526 . Meets with DSC 326 .
In Database Management, students learn the theory of database systems and relational query languages for data analysis. Meets with DSC 345 .
In Data Visualization, students become effective data storytellers by creating rich visuals to represent and communicate data analysis. Meets with DSC 363.
Individually supervised research and study. Provides the opportunity for students to engage in original research or to pursue scholarly investigations beyond the boundaries of established courses. Arranged by agreement between the student and the instructor, subject to the approval of the division dean. May be repeated once for up to 3 credits.
Source: Utica University's catalog, linked per course · table learning_unit · CourseShelf publish 61
