Bachelor of Science in
Data Science

Student Learning Outcomes

Students will:

• Use data to construct evidence-based solutions.
• Assimilate skills acquired through the degree program in application to a capstone project providing solutions to real-world challenges.
• Acquire data from a variety of sources including public research, web pages, and social media.
• Convert unstructured and varied data into analysis-ready form.
• Use software packages and libraries to support data analysis.
• Use statistical theory and modern machine learning techniques to model observations and make predictions.
• Implement data storage and processing architectures across clusters of commodity hardware and cloud resources.
• Manage issues related to program performance, scalability, and high-availability.
• Communicate deftly with proficiency in both verbal and nonverbal communication.
• Present actionable results of data analysis in multimedia formats to both technical and nontechnical audiences.

General Education Requirements

For a full description of Embry‑Riddle General Education guidelines, please see the General Education section of this catalog. These minimum requirements are applicable to all degree programs.

Data Science Degree Requirements

Suggested Plan of Study

Student Learning Outcomes

Students will:

• Use data to construct evidence-based solutions.
• Acquire data from a variety of sources including public research, web pages, and social media.
• Convert unstructured and varied data into analysis-ready form.
• Use software packages and libraries to support data analysis.
• Use statistical theory and modern machine learning techniques to model observations and make predictions.
• Implement data storage and processing architectures across clusters of commodity hardware and cloud resources.
• Manage issues related to program performance, scalability, and high-availability.
• Communicate deftly with proficiency in both verbal and nonverbal communication.
• Present actionable results of data analysis in multimedia formats to both technical and nontechnical audiences.
• Assimilate skills acquired through the degree program in application to a capstone project providing solutions to real-world challenges.

Degree Requirements

The Bachelor of Science in Data Science can be earned in eight semesters assuming appropriate background and full-time enrollment. Successful completion of a minimum of 121 credit hours is required, with a CGPA of 2.0 or higher. For Data Science majors, all MA and CS courses must be passed with a grade of C or better.

Students are required to choose a track of specialization. Some fields that complement Data Science are Business/Economics, Computer Science, Cyber Security, Mathematics, Physics, and Psychology. Students are afforded 15 credits in Track Elective to pursue this area of focus in addition to 6 credits of open electives required in the program. 

Students will be encouraged to have an applied practicum experience. This requirement may be fulfilled in several ways, including co-ops, internships, or working on an on-campus research team. Practicums provide opportunities to gain practical experience in real-world settings. A practicum experience is highly regarded by employers and increases the student’s employment potential after graduation. Typically, students will engage in practical experience activities throughout the degree program so they can take maximum advantage of their undergraduate experience.

Program Requirements

General Education

Embry‑Riddle degree programs require students to complete a minimum of 36 hours of General Education coursework. For a full description of Embry‑Riddle General Education guidelines, please see the General Education section of this catalog.

Students may choose other classes outside of their requirements, but doing so can result in the student having to complete more than the degree's 121 credit hours.  This will result in additional time and cost to the student.

Data Science Core (92 Credits)

The following course of study outlines the quickest and most cost-efficient route for students to earn their B.S. in Data Science. Students are encouraged to follow the course of study to ensure they complete all program required courses and their prerequisites within four years.

Courses in the core with a # will satisfy your general education requirements.

Natural Science (with one lab attached to course) choose two (8 credits)

Track Electives (15 Credits)

Open Electives (6 Credits)

#

General Education Courses

All Army ROTC students are required to complete SS 321 - U.S. Military History 1900-Present (3 credits) in order to commission.

Suggested Plan of Study