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The Osprey Map provides a term-by-term sample schedule for each undergraduate academic program at the º£½ÇÉçÇø. It is designed to guide students in the selection of courses each term. The "Mile Marker" courses are those courses that should be completed before or by the end of that term. Following the sample schedule, and completing the mile marker courses at the appropriate point of your undergraduate career, will facilitate graduation in four years. The term-by-term model assumes full-time enrollment. For students enrolled part-time, the sample schedule and mile markers should be followed based on the number of credits completed. The Osprey Map should be used in consultation with an academic advisor.

The Data Science Concentration of the Computing and Information Sciences Major focuses on studying methods for managing and analyzing large datasets. The Data Science Concentration has a significant component of math and science courses. With courses focused on statistics, database systems, algorithm design and analysis, and data analytics graduates of the program will be able to design, implement, and use methods for the discovery of patterns and prediction of future trends from datasets. Typical first job titles include data scientist, and data analyst.

Career Planning
Engaging in career planning activities is significant to student success. º£½ÇÉçÇøoffers customized career centers to deliver targeted programs, events, services and resources. First-Year and Exploratory students should visit the webpage and Sophomore or higher level students with a declared CCEC major should visit the CCEC Career Development Center.

Students should refer to their personalized Degree Evaluation provided by an academic advisor and to other university resources for additional university and college-specific policies. Visit the for more information.

Summer terms may be utilized to facilitate graduation in four years.

• Visit the university catalog for a list of General Education requirements. An Associate in Arts (AA) degree from a Florida public university, state college or community college satisfies º£½ÇÉçÇøgeneral education and Gordon Rule requirements. Math selection is contingent upon appropriate placement score, the student's major and credit received through accelerated mechanisms (Advanced Placement, International Baccalaureate, Dual Enrollment, etc).
• Visit the School of Computing home page for additional information. Introductory 'C' is the preferred prerequisite programming language and will be used in subsequent courses. Students requiring preparation for MAC 2311 Calculus I should take MAC 1147 Precalculus. For more information consult an academic advisor and visit the School of Computing Advising Office webpage.
• Students must adhere to the School of Computing's Student Attendance Policy.
• Exit Requirements:
  • Proficiency in a high-level programming language. 
  • Proficiency in oral communication.To demonstrate satisfactory oral communication skills, students must deliver up to two presentations in an upper-level course offered by the School of Computing. If the first presentation is satisfactory, the second presentation will be waived.
• School of Computing Satisfactory Progress Policy:
  • The School of Computing enforces the "one repeat" rule for all prerequisite and core courses offered by the School for its major programs.
  • Students who do not successfully complete a prerequisite, core, or major requirement for a School of Computing major on the first attempt due to earning a grade of D, F, W, WP or WF) will be granted one chance to repeat the course.
  • Students who do not successfully complete the aforementioned course on the second attempt will be blocked from registering for courses offered by the School of Computing in future semesters.
  • This policy applies whether or not the student has declared a major in a School of Computing program.
  • Students who do not obtain B or better grade on both COP 3503 Programming II and STA3032 Probability and Statistics for Engineers will be eligible for suspension from the program.
• CIS3949 Internship may count toward a Data Science Elective for a maximum of 3 credit hours.
• Civic Literacy Requirement: Prior to graduation from a Florida state university, students must demonstrate competency in civic literacy through successful completion of a civic literacy course (AMH 2010, AMH 2020, or POS 2041) and by achieving a passing score on an assessment. Consult an academic advisor, the university catalog and visit the Civic Literacy webpage for additional information.
• The Concentration in Data Science requires 120 total semester hours, including 60 upper-level (3000/4000) hours.