Data Science for Creative Industries

IN THIS SECTION

Undergraduate Program

Over last decade, application of data science in product R&D and business operations has become a strong trend. 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.

Career Paths

Precision health has been transforming the landscape of healthcare and expertise in this field 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

How to Apply

Learn more about admissions: take me to the admission application!

Curriculum

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).

 

Major Core Courses

Mathematics & Statistics (28 Credits), and Computer Science (21 Credits)

Code Courses Credit
DAS461 Directed Study: Career Development 2
DAS455 Senior Practicum 4
DAS451 Senior Project 4
CIS341 Cloud Computing and Big Data 3
CIS335 Machine Learning and Artificial Intelligence 3
CIS331 Data Mining 3
CIS221 Database Systems 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
MAT106 Calculus II 3
Mat103 Linear Algebra 3
MAT105L Calculus I Lab 1
MAT105 Calculus 3

Creative Industry Concentration (18 Credits)

Code Courses Credit
DAS341 Business Data Analysis 3
DAS321 Sample Survey and Customer Analytics 3
BUS335 Pricing and Revenue Management 3
BUS213 Business Finance 3
BUS211 Marketing for Creative Industries 3
ECO211 Microeconomics 3
General Education Core

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.

Free Electives

Students are free to choose 6 credits from any college level courses offered by the College.