The Data Science program provides students with a solid blend of statistics, quantitative reasoning, and coding skills to produce meaningful insights from data and make predictions and decisions. Students will reason critically about data in all forms and apply data analysis, database design and management, sampling, and modeling in developing and presenting data-based opinions and their impact on society. Students will also implement various programming and application languages through design projects based on real - work contexts by applying fundamental concepts of algorithms, structures, frameworks, statistical analysis, database design, and applied predictive analytics. 

Students will graduate with the necessary workforce skills or advance into careers such as Full-Stack Developer, Data Scientist, Business Analytics Specialist, Data Analyst, Data Visualization Developer, Operations Research Analyst, and Market Research Analyst. 

Students can also obtain additional credentials that boost their portfolio by demonstrating mastery of specific subject skills during the program. 

Program Learning Outcomes

Upon successful completion of this program, the student should be able to: 

• Interpret and convert statistical data sets into manageable models for assessing key performance indicators. 
• Apply statistical and data science methods and techniques relevant to design and analysis of data management systems. 
• Develop interactive graphical interfaces and dashboards using appropriate data visualization tools. 
• Use several web development coding applications to develop effective web-based systems. 
• Demonstrate mastery of programming and proprietary application languages. 
• Demonstrate proficiency in using modern quantitative tools for predictive analysis of Big Data sets. 
• Apply knowledge of regulatory requirements to establishing data security and confidentiality in project design. 

Major Requirements (24 credits)

• DSC 120 Foundations of Data Analysis  (3 credits) 
• DSC 140 Web Development and Design  (3 credits)
• DSC 180 Introduction to Frameworks (with JavaScript and Python)  (3 credits)
• DSC 200 Data-Oriented Design for Game Development  (3 credits)
• DSC 210 Database Management Systems (using SQL)  (3 credits)
• DSC 220 Predictive Analytics I  (3 credits)
• DSC 230 Data Visualization  (3 credits)
• DSC 260 Predictive Analytics II - Machine Learning with AI  (3 credits)

General Education Requirements AS (38/40 credits)

• Click here to view general education requirements.   

Electives

• Please refer to the program curriculum guide below for program elective coursework. 

Program Guide 

• Click here to view the Program Curriculum Guide 

Total credits=60-62