IN THIS SECTION
For decades, data science has been used in product R&D and business operations. With the arrival of the digital age, marketing and communication has fueled the demand of data science in an unprecedented way. Creative economy refers to industries where the creative element is central to what is being produced, for example, advertising, film and television, broadcasting, publishing, architecture, design, music, visual arts, sports analysis, and performing arts. Data analysis has become essential in understanding consumer behavior, predicting consumption patterns, and deciding which products/services will succeed in the creative economy. From personalized targeting, building sales forecasts, to generating artificial intelligence-powered content, Data Science for Creative Industries prepares students to obtain the skills and knowledge to succeed in the future.
Although the use of big data in creative industries is relatively nascent, it is in high demand. There are plenty of career options for graduates with specialized training. Future occupational opportunities include, but are not limited to, the following:
● Business analyst
● Financial analyst
● Marketing analyst
● Enterprise strategist
● Business Intelligence developer
● Statistical analyst
● Risk analyst
● Operation research analyst
● Business Consultant
● Ad tech engineer
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The BS in Data Science is a 125-semester credit curriculum with three major components: major requirements (77 credits), core general education courses (42 credits), and free electives (6 credits).
|DAS461||Directed Study: Career Development||2|
|CIS341||Cloud Computing and Big Data||3|
|CIS335||Machine Learning and Artificial Intelligence||3|
|CIS211||Introduction to Discrete Mathematics||3|
|CIS105||Data Structure and Algorithms||3|
|CIS102||Introduction to Computing||3|
|STA345||Nonparametric Statistics||3 (Elective)|
|STA341||Survival Analysis||3 (Elective)|
|STA335||Stochastic Processes||3 (Elective)|
|STA321||Design and Analysis of Experiments and Quality Control||3 (Elective)|
|MAT207||Calculus III||3 (Elective)|
|STA331||Applied Regression Analysis||3|
|STA211||Statistical Theory and Methods||3|
|STA101||Principles of Probability and Statistics||3|
|STA205||Statistical Computing and Graphics (R or SAS)||3|
|MAT105L||Calculus I Lab||1|
|DAS341||Business Data Analysis||3|
|DAS321||Sample Survey and Customer Analytics||3|
|BUS335||Pricing and Revenue Management||3|
|BUS211||Marketing for Creative Industries||3|
The College requires that all undergraduate students, regardless of major, complete core general education courses in nine distributions. Students of the Data Science program can meet the Quantitative Reasoning distribution requirement through their major courses. As a result, 42 general education credits from the Liberal Arts and Sciences program will be required.
Students are free to choose 6 credits from any college level courses offered by the College.