Computer Information Systems Technology (BAS), Data Science Specialization
Previous Degree Required: A.S./A.A.
Eligible for Financial Aid: Yes
Delivery Method(s): On-Campus, Hybrid
Location(s): Melbourne, Online
Additional Limited Access Application Process Required: No
Program Testing Requirements: Not Required
Academic Community: STEM
Program Code: CTBSDSBS
Classification of Instructional Programs (CIP) Code: 11.0401
Florida Department of Education CIP Code: 1101104011
This is a specialization of the BAS Computer Information Systems Technology degree.
The Data Science specialization prepares students for mid-level positions in this expanding field. Students will gain a fundamental understanding of Data Science through courses that include Database Design and Architecture, Database Systems with Big Data, Data Mining, Numerical Analysis, Data Structures and Algorithm Analysis and an understanding of the key role of data security.
Refer to the Bachelor of Applied Science (BAS) overview page to find information about admission, graduation, general education and other requirements. Students who need technical electives will work with a bachelor’s advisor to determine the courses best suited to their plan of study.
Visit the program page for more information.
Program of Study
| Code | Title | Credit Hours |
|---|---|---|
| Associate Degree | ||
| Complete Associate Degree | 60 | |
| General Education or Technical Concentration | ||
| General Education (for A.S. degree students) or Technical Concentration (for A.A. degree students) | 21 | |
| Computer Information Systems Technology - Major Courses | ||
| GEB 3213 | Foundations of Managerial Communications | 3 |
| ISM 3011 | Introduction to Information Technology Management | 3 |
| ISM 4300 | Information Systems Operations Management | 3 |
| MAN 4504 | Operational Decision Making | 3 |
| Data Science Specialization | ||
| CAP 4770 | Data Mining | 3 |
| CAP 4773 | Capstone Project - Data Management Science | 3 |
| COP 3530 | Data Structures and Algorithm Analysis | 3 |
| STA 3024 | Statistics 2 for Data Scientists | 3 |
| Data Science Specialization Electives (Choose 15 credits) | 15 | |
| Database Systems with Big Data | ||
| Internship | ||
| Object Oriented Programming | ||
| Database Design and Architecture | ||
| Information Systems Analysis and Design | ||
| Applications in Information Security | ||
| Total Credit Hours | 120 | |
In accordance with Florida Statute and Florida Administrative Code, students must
-
Satisfy the foreign language competency requirement
-
Satisfy the Civic Literacy Graduation Requirement.
The BAS in Computer Information Systems Technology has two Common Program Prerequisites. These courses must be completed with a grade of "C" or higher before being admitted to 3000 - 4000 level courses:
- COP 2334 Introduction to C++ Programming
- Any Computer Programming course with a COP prefix will be accepted in place of COP 2334, except COP 1000 Principles of Programming
- STA 2023 Statistics
- MAC 2311 Calculus 1 with Analytic Geometry will be accepted in place of STA 2023. No other course substitutions are permitted for either course. Click on the course number to see course prerequisites.
Course Sequence
Below is the recommended sequence for taking the bachelor's-level courses in this degree. Using this guide and meeting with your assigned advisor each term is the key to successful program completion.
Please note that course prerequisites, including required developmental math, reading, or writing, need to be completed to continue on to the more advanced course. Courses followed by “&” have prerequisites that are not part of this program. Click on the course number to see the requirements.
| Code | Title | Credit Hours |
|---|---|---|
| Tech or Gen Ed Elective 1 | 3 | |
| Tech or Gen Ed Elective 1 | 3 | |
| COP 3530 | Data Structures and Algorithm Analysis | 3 |
| GEB 3213 | Foundations of Managerial Communications | 3 |
| ISM 3011 | Introduction to Information Technology Management | 3 |
| Tech or Gen Ed Elective 1 | 3 | |
| CAP 4770 | Data Mining | 3 |
| ISM 4300 | Information Systems Operations Management & | 3 |
| MAN 4504 | Operational Decision Making | 3 |
| STA 3024 | Statistics 2 for Data Scientists & | 3 |
| Specialization Elective 2 | 3 | |
| Specialization Elective 2 | 3 | |
| Specialization Elective 2 | 3 | |
| Specialization Elective 2 | 3 | |
| Specialization Elective 2 | 3 | |
| CAP 4773 | Capstone Project - Data Management Science | 3 |
| Tech or Gen Ed Elective 1 | 3 | |
| Tech or Gen Ed Elective 1 | 3 | |
| Tech or Gen Ed Elective 1 | 3 | |
| Tech or Gen Ed Elective 1 | 3 | |
| Total Credit Hours | 60 | |
- 1
Select 21 credits to meet the general education requirement or technical elective requirement. Work with a bachelor's advisor to determine the courses needed.
- 2
Select 15 credits from the Data Science Specialization electives list on the Program of Study page.
Learning Outcomes
- Apply techniques and tools to visualize data in order to explore trends and patterns.
- Core Ability Supported: Process Information
- Apply techniques to clean data that is incomplete or missing.
- Core Ability Supported: Process Information
- Demonstrate the ability to build a decision tree.
- Core Ability Supported: Think Critically and Solve Problems
- Demonstrate the ability to implement algorithms that use a linked-list based data structure.
- Core Ability Supported: Think Critically and Solve Problems
- Apply techniques for storage and retrieval of data to support the
organization’s functional units and external customers.- Core Ability Supported: Process Information
- Demonstrate oral and presentation skills necessary to present data-driven results that tell a narrative applicable to the values and goals of the audience.
- Core Ability Supported: Communicate Effectively