Bachelor of Arts in Data Analytics (120 Hours)
Program Outcomes
an ability to analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
an ability to design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
an ability to communicate effectively in a variety of professional contexts.
an ability to recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
an ability to function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
an ability to apply theory, techniques, and tools throughout the data science lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.
Essential Liberal Arts Courses (34 hours)
Required
| AIL100 | AI for Everyone | 3 |
| CCC100 | Introduction to College Writing | 3 |
| CCC102 | Public Speaking | 3 |
| | |
| MATH100 | Mathematics for the Liberal Arts | 4 |
| Or | |
| MATH101 | Intermediate Algebra | 4 |
| | |
XXXX
| Scientific Inquiry | 4 |
| CS479 | Capstone: Data Analytics Practicum | 3 |
Great Conversation Series
Required
| GCON110 | Great Conversation: The Meaning of Life | 3 |
| GCON120 | Great Conversation: Western Civilization | 3 |
| GCON130 | GCON130 - Great Conversation: Global Civilization | 3 |
| GCON140 | GCON140 - Great Conversation: Art | 3 |
| GCON150 | GCON150 - Great Conversation: What It Means to Be A U.S. Citizen | 3 |
Data Analytics B.A. Core (36 hours)
Required
| CS105 | Foundations of Computer Science | 3 |
| CS103 | Programming for Everyone I | 3 |
| CS104 | Programming for Everyone II | 3 |
| CS110 | Web Development | 3 |
| CS242 | Data Structures | 3 |
| CS271 | Foundations of Data Analytics I | 3 |
| CS272 | Foundations of Data Analytics II | 3 |
| CS341 | Algorithms Analysis and Design | 3 |
| CS373 | Data Science I | 3 |
| CS374 | Data Science II | 3 |
| CS471 | AI and Machine Learning | 3 |
| CS479 | Capstone: Data Analytics Practicum | 3 |
Data Analytics B.A. Major Cognates (7 hours)
Required
| MATH135 | Calculus and Analytic Geometry I | 4 |
| MATH204 | Elementary Statistics | 3 |
Data Analytics B.A. Electives (9 hours)
Required
| CS343 | Linear Programming and Graph Theory | 3 |
| CS380 | Database Design | 3 |
| CS473 | Artificial Intelligence | 3 |
| CS474 | Artificial Neural Networks | 3 |
| CS476 | Machine Learning | 3 |
| CS477 | Clustering and Classification | 3 |
Four Year Plan
Fall - First Year
| CS105 | Foundations of Computer Science | 3 |
| CS103 | Programming for Everyone I | 3 |
| CCC100 | Introduction to College Writing | 3 |
| MATH135 | Calculus and Analytic Geometry I | 4 |
GCON
| Great Conversation | 3 |
Spring - First Year
| CS104 | Programming for Everyone II | 3 |
| CS110 | Web Development | 3 |
| CCC102 | Public Speaking | 3 |
| MATH204 | Elementary Statistics | 3 |
GCON
| Great Conversation | 3 |
Fall - Second Year
| CS271 | Foundations of Data Analytics I | 3 |
| CS242 | Data Structures | 3 |
GCON
| Great Conversation | 3 |
GCON
| Great Conversation | 3 |
ELE/ELEC
| General Elective | 3 |
Spring - Second Year
| CS272 | Foundations of Data Analytics II | 3 |
| CS341 | Algorithms Analysis and Design | 3 |
SCI/ELEC
| Scientific Inquiry | 4 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
Fall - Third Year
| CS373 | Data Science I | 3 |
CS/ELEC
| Data Analytics Elective | 3 |
WID/ELEC
| Writing in the Discipline | 3 |
GCON
| Great Conversation | 3 |
ELE/ELEC
| General Elective | 3 |
Spring - Third Year
| CS374 | Data Science II | 3 |
| CS471 | AI and Machine Learning | 3 |
CS/ELEC
| Data Analytics Elective | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
Fall - Fourth Year
| CS479 | Capstone: Data Analytics Practicum | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
Spring - Fourth Year
CS/ELEC
| Data Analytics Elective | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
ELE/ELEC
| General Elective | 3 |
Note:
- The expected first mathematics course for this degree is MATH135. Students who do not place into MATH135 based on the Mathematics Placement Policy may need to complete the following prerequisite courses listed below, in addition to the courses listed above:
MATH101 - Intermediate Algebra (4)
MATH115 - Pre-Calculus Mathematics (4)
C- or higher is required for all prerequisite courses in the Department of Mathematics.
- General elective credit hours will vary dependent upon the following degree requirements:
- Must complete a minimum of 120 credit hours
- Must complete a minimum of 30 credit hours of coursework at the 300 or 400-level
- Courses requiring prerequisites and corequisites are noted on the course which can be found in the course description section of the catalog.
Some select courses in this major, minor, or concentration are offered online through a consortium of accredited colleges and universities. All courses within the program are delivered by faculty employed by partner institutions in the consortium, with technology and administrative support provided by Rize Education.
Oversight of courses offered through the consortium are reviewed and approved by Adrian College. Students register through Adrian College and receive academic credit from Adrian College.