Data Science, B.S.

Technology Competency Skills

Saint Leo University Technology Competency Skills                                             

Technology is threaded through our personal, professional, and educational interactions. To successfully manage these interactions - specifically relating to education and employment - our students must have the ability to navigate and operate essential computer functions, beyond social media. Demonstrating competency of basic technology skills is essential for the success of all Saint Leo University students.

Saint Leo University requires undergraduate students to demonstrate technology competency prior to degree conferral. These technology competency skills can be satisfied through a waiver exam, microcredential module, or academic course (COM-140 or equivalent, earning a grade of C or better within 10 years). Students should meet with their advisors to discuss options and establish a plan to satisfy the graduation requirement.

Technology Competency Skills Microcredential:

A self-paced, online module designed to develop and reinforce computer competencies and literacy. The module introduces general computer operations using current computing technologies and software. Selected topics include the Internet, security and safety, digital communication practices, operating systems, as well as creating and evaluating documents, worksheets, and presentations. Guidelines for selecting computer hardware and software are addressed. Satisfactory completion of this microcredential meets the Saint Leo University Technology Competency Skills graduation requirement. Upon completion the microcredential, students will earn a digital badge. This badge can be shared as confirmation of demonstrated skill and ability. This course is not covered by financial aid.

Technology Competency Skills Waiver Exam:

Students may take the technology competency skills waiver exam to satisfy the Saint Leo University technology competency skill requirement. The Waiver Exam tests your knowledge of Word, Excel, Access, PowerPoint, Windows, and the Internet. The exam is Pass/Fail and you must receive a minimum score of 74% to pass. 

University Campus Only Course Requirements

• SLU 101 - First Year Experience 1 credit
• SLU 125 - Choosing Wellness 3 credits

University Explorations (42 credit hours)

• Click here to view the University Explorations 

Math and Programming Core - 25 credit hours

• Choose COM-207 or COM-209:

• COM 207 - Programming in C/C++ 3 credits
• COM 209 - Programming in Java 3 credits

•  

   

• MAT 231 - Calculus-with Analytic Geometry I 4 credits
• MAT 232 - Calculus II 4 credits
• MAT 251 - Introduction to Discrete Mathematics 3 credits
• MAT 323 - Calculus III 4 credits
• MAT 361 - Linear Algebra 3 credits
• MAT 497 - Preliminary Research Seminar 1 credit

•  

  Choose MAT-425 or MAT-497:

• MAT 425 - Mathematics Internship 3 - 12 credits
• MAT 499 - Senior Project in Mathematics 3 credits

Data Science Core - 9 credits

• MAT 201 - Introduction to Statistics 3 credits
• MAT 331 - Probability and Statistics 3 credits

Data Science Elective - 9 credits

Major Electives - 9 credit hours

• Complete 9 credits from MAT courses not already taken at 300 level or above or from the following choices:

• COM 301 - Algorithms and Data Structures 3 credits
• COM 315 - Decision Support Systems 3 credits
• COM 330 - Database Concepts and Programming 3 credits
• COM 465 - Artificial Intelligence 3 credits

Cognate Area - 9 credit hours

• PSY 161 - Introduction to Psychology 3 credits

•  

  Take 6 credits from the following choices:

• PSY 321 - Psychological Tests and Measurements 3 credits
• PSY 322 - Physiological Psychology 3 credits
• PSY 328 - Social Psychology 3 credits
• PSY 412 - Cognitive Psychology 3 credits
• PSY 422 - Psychology of Learning 3 credits

General Elective Credits: Complete enough general elective credit hours to fulfill total hours required for degree completion.

Total Credits: 120