Computer Science, AI Concentration/Computer Science (4+1), BS/MS

Program Learning Outcomes

The following are the learning outcomes for the BSCS degree at USF:

• Theory: Explain and analyze standard computer science algorithms and describe and analyze theoretical aspects of various programming languages
• Application: Apply problem-solving skills to implement medium and large scale programs in a variety of programming languages
• Systems: Describe the interactions between low-level hardware, operating systems, and applications
• Project: Demonstrate effective communication and organization as part of a team of software developers or researchers collaborating on a large computer program
• In addition to these general CS learning outcomes, the AI track adds the following refined outcomes:
• Theory: Explain and analyze standard AI algorithms.  Understand the ethical issues at play in model creation and application. 
• Application: Apply AI tools to analyze data and create AI models.  Know of several techniques to address bias and approximate fairness in AI applications.

(BS) Major Requirements (56-58 units)

• Must complete BS within four years
• Must complete one MS core each semester of junior and senior year
• 16 units of MS courses taken during junior and senior year cannot count towards 52 unit BSCS core
• 16 units of MS courses taken during junior and senior year can count as general electives of the 120 units needed to graduate with a BSCS
• CS 490 can fulfill the requirements of both BS and MS (CS 690) - only course that can count in both programs
• Students majoring in Computer Science (4+1) must earn a grade of C or better in all major courses

MS in Computer Science

Computer Science, MS 

Admissions

• Must have a 3.3 cumulative GPA in Computer Science coursework
• Must have a 3.0 overall cumulative GPA
• 1-2 page Statement of Goals
• Two letters of recommendation from faculty with the Department of Computer Science
• Apply at the end of sophomore year, once spring grades are available