Degree Map
Degree Map
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Degree Map
Please look above to see if a Transfer Guide is available for this program. lf you are a current Virginia Community College student or are planning to start at a Virginia Community College before transferring to this institution and program, please follow the Transfer Guide to plan your courses at the community college.
The table below provides the requirements to complete this program if you are not following a Transfer Guide. If you have an account and have created a Portfolio, the table includes the "Applied Credits" column. This column shows how the credits you earned based on the experiences you entered may be applied to satisfy these requirements. You can find schools where you can take courses that will transfer and apply to this degree using the Where Can I Find An Equivalent Course feature in the Transfer Tools menu.
The table below provides the requirements to complete this program if you are not following a Transfer Guide. If you have an account and have created a Portfolio, the table includes the "Applied Credits" column. This column shows how the credits you earned based on the experiences you entered may be applied to satisfy these requirements. You can find schools where you can take courses that will transfer and apply to this degree using the Where Can I Find An Equivalent Course feature in the Transfer Tools menu.
The program map provided below is an estimate based on courses identified as a result of reviewing your portfolio
and the requirements for the selected program.
A formal determination of credits awarded for your prior learning and their applicability to the degree requirements can only be made by the institution. The formal determination and resulting map may reflect higher or lower number of credits to be completed to achieve this program.
A formal determination of credits awarded for your prior learning and their applicability to the degree requirements can only be made by the institution. The formal determination and resulting map may reflect higher or lower number of credits to be completed to achieve this program.
Requirements
Required Credits
Bachelor of Science Data Science and Applied Mathematics
120
Requirement Notes
Requirement Notes:
To earn this degree, students must earn a 2.0 or higher cumulative GPA, complete at least 30 credits at SU, complete no more than 52 creidts per subject, and complete at least 30 credits at the 300 or 400 level.
Bachelor of Science in Data Science and Applied Mathematics
120
Requirement Notes
Requirement Notes:
To earn this degree, students must earn a 2.0 or higher cumulative GPA, complete at least 30 credits at SU, complete no more than 52 creidts per subject, and complete at least 30 credits at the 300 or 400 level.
SHEN ED
30
Communicative Literacy Written
3
Earn 3 credits by completing courses from the following Category:
Communicative Literacy Oral
3
Earn 3 credits by completing courses from the following Category:
Quantitative Literacy Region
3
Earn 3 credits by completing courses from the following Category:
Navigating Difference Sphere - Ethical Reasoning Region
3
Earn 3 credits by completing courses from the following Category:
Navigating Difference Sphere - Cultural Understanding Region
3
Earn 3 credits by completing courses from the following Category:
Creative Expression Sphere
3
Earn 3 credits by completing courses from the following Category:
Scientific Inquiry Sphere - Natural Sciences Region
3
Earn 3 credits by completing courses from the following Category:
Scientific Inquiry Sphere - Social and Behavioral Region
3
Earn 3 credits by completing courses from the following Category:
FYS or Cultural Understanding
3
Requirement Notes
Requirement Notes:
Students enrolled as freshman must complete the FYS course.
Earn 3 credits: Complete the following
Earn 3 credits: Use the following rules
Complete courses from the following Category list:
OR
Complete courses from the following Course:
Additional 3 credits of SHEN ED
3
Requirement Notes
Requirement Notes:
This is an opportunity to select courses that will apply to a concentration or minor.
Earn 3 credits by completing courses from the following Category list:
Data Science Core Courses
38
Introduction to Computer Programming I
3
Earn 3 credits by completing courses from the following Course:
Introduction to Computer Programming II
3
Earn 3 credits by completing courses from the following Course:
Machine Learning
3
Earn 3 credits by completing courses from the following Course:
Introduction to Databases
3
Earn 3 credits by completing courses from the following Course:
Calculus and Analytic Geometry I
4
Earn 4 credits by completing courses from the following Course:
Calculus and Analytic Geometry II
4
Earn 4 credits by completing courses from the following Course:
Introduction to Statistics
3
Earn 3 credits by completing courses from the following Course:
Applied Statistics Concepts and Methods
3
Earn 3 credits by completing courses from the following Course:
Linear Algebra
3
Earn 3 credits by completing courses from the following Course:
Introduction to Data Analysis
3
Earn 3 credits by completing courses from the following Course:
Data Mining and Pattern Discovery
3
Earn 3 credits by completing courses from the following Course:
Field Learning in Data Science
3
Earn 3 credits by completing courses from the following Course:
Math Electives
6
Earn 6 credits by completing courses from the following Course list:
Free Electives
46
Requirement Notes
Requirement Notes:
Use these electives to complete your concentration or explore other areas of study. Students must earn a total of 120 credits to meet degree requirements Complete credits from any discipline without exceeding 52 credits per subject. These electives should only be used once all other requirements have been met and may not be needed to meet the degree requirements.
Earn 46 credits by completing any available course