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College: Computing, Engrg, and Const
Degree: Bachelor of Science
Major: Computing & Info Sciences
Concentration: Data Science
Effective Term: Spring 2020
The Osprey Map provides a term-by-term sample schedule for each undergraduate academic program at the University of North Florida. It is designed to guide students in the selection of courses each term. The "Mile Marker" courses in the right-hand column 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. UNF offers customized career centers to deliver targeted programs, events, services and resources. First-Year and Exploratory students should visit the Career Services 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 undergraduate university catalog 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 UNF general education and Gordon Rule requirements. Math selection for First Time in College (FTIC) students is contingent upon Math Placement exam results, 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.

  • A spoken presentation is a graduation requirement for the Computer Science program, and must be completed while enrolled in an upper-level School of Computing course. Most students choose to complete the spoken presentation in CIS3253 Legal and Ethical Issues in Computing. Spoken presentations are evaluated by the faculty member administering the course.

  • 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 or core requirement for a School of Computing course on the first attempt (i.e., earn a grade of D, F, W, WP or WF) will be granted one chance to repeat the course. Students who do not successfully complete a prerequisite or core requirement within two attempts will not be permitted to register for courses offered by the School in future semesters. This stipulation applies whether or not the student has declared a major in a School of Computing 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 2020 or POS 2041) or 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.
 
Term 1: Attempted Hours 0-15
Schedule Credit Hours   Mile Markers
ENC1101 (GW) Rhetoric and Writing OR ENC1143 (GW) Rhetoric and Narrative 3   MAC2311 (GM) Calculus I Minimum Grade C
   
MAC2311 (GM) Calculus I (Program Prerequisite) 4  
   
IDC2000 Beauty and Joy of Computing (Recommended Free Elective) 3  
   
Select two General Education Courses (See Degree Evaluation) 6  
   
Total Hours: 16
 
Term 2: Attempted Hours 16-30
Schedule Credit Hours   Mile Markers
ENC1101 (GW) Rhetoric and Writing OR ENC1143 (GW) Rhetoric and Narrative 3   COP2220 Programming I Minimum Grade C
(Select the English course not taken in Term 1)  
   
COP2220 Programming I (Program Prerequisite) 3  
(Recitation with a Teacher Assistant or Instructor is  
required for COP2220)  
   
MAC2312 (GM) Calculus II (Program Prerequisite) 4  
   
Select a General Education Course (See Degree Evaluation) 3  
   
Select a Public Speaking Course (SPC 4064 is preferred) 3  
   
Total Hours: 16
 
Summer 1
Schedule Credit Hours   Mile Markers
NOTE: Use Summer Term to catch-up on Math or   MAC2312 (GM) Calculus II Minimum Grade C
Science Courses, if necessary. Or get ahead by taking COT  
3100 Computational Structures or MAD3107 Discrete  
Mathematics OR CIS3253 Legal Ethical Issues in  
Computing (online).  
   
 
Term 3: Attempted Hours 31-45
Schedule Credit Hours   Mile Markers
ENC2210 (GW) Technical Writing (Satisfies third General Ed Written 3   COT3100 Comp Structures OR MAD3107 Discrete Math
Communication Course)  
   
Select first course in your Science sequence of  
choice: BSC1010C or CHM2045/L or PHY2048/L 4 - 5  
(See Degree Evaluation)  
   
Select one: COT3100 Computational Structures OR 3  
MAD3107 Discrete Mathematics  
   
STA3163 (GM)Statistical Methods I 4  
   
Total Hours: 14 - 15
 
Term 4: Attempted Hours 46-60
Schedule Credit Hours   Mile Markers
Select second course in your Science sequence of   COP3503 Programming II Minimum Grade C
choice: BSC1011C or CHM2046/L or PHY2049/L 4 - 5  
(See Degree Evaluation)  
   
STA3164 (GM)Statistical Methods II 3  
   
COP3503 Programming II 3  
   
Select a General Education Course (See Degree Evaluation) 3  
   
Total Hours: 13 - 14
 
Summer 2
Schedule Credit Hours   Mile Markers
Summer term course options include: CIS3949 Internship,  
a Data Science Elective, or get ahead by taking COP3703  
Intro to Databases or CNT4504 Computer Networks or  
STA4321 Prob/Statistics for Engineers  
   
 
Term 5: Attempted Hours 61-75
Schedule Credit Hours   Mile Markers
CIS3253 GW-Legal Ethical Iss in Comput 3   COP3530 Data Structures Minimum Grade C
    General Education Requirements
MAS3105 (GM) Linear Algebra 4  
   
COP3703 Introduction to Databases 3  
   
COP3530 Data Structures 3  
   
Total Hours: 13
 
Term 6: Attempted Hours 76-90
Schedule Credit Hours   Mile Markers
CNT4504 Computer Networks 3   COP3703 Introduction to Databases Minimum Grade C
    Civic Literacy Requirement
CAP4784 Introduction to Data Analytics (Spring Term only) 3  
   
Select one course: STA4502 Non-parametric Methods 3  
in Statistics (Offered Spring Term) OR STA4504  
Categorical Data Analysis (Offered Fall Term). If selecting  
STA4504 take in Term 7.  
   
Select a Data Science Major Elective 3  
   
Select Free Electives (If needed for 120 total hours) 3  
   
Total Hours: 15
 
Summer 3
Schedule Credit Hours   Mile Markers
Summer term course options include: CIS3949 Internship,  
or a Data Science Elective, or get ahead by taking MAS  
3105 Linear Algebra  
   
 
Term 7: Attempted Hours 91-105
Schedule Credit Hours   Mile Markers
CAP4770 Data Mining (Offered Fall term only) 3   CAP4770 Data Mining Minimum Grade C
   
STA4321 (GM)Probability and Statistics 4  
   
COT4400 Design and Analysis of Algori (Offered Fall term only) 3  
   
Select a Data Science Major Elective 3  
   
Select Free Electives (If needed for 120 total hours) 2  
   
Total Hours: 15
 
Term 8: Attempted Hours 106-120
Schedule Credit Hours   Mile Markers
Select one: course from the following: COT4560; 3  
COT4111; COT4461; MAD4301; MAD4203; MAD4505  
   
Select a Data Science Major Elective 3  
   
Select one: STA4945 Capstone Experience; CIS4900 3  
Directed Independent Study; MAS4932 Capstone Mathematics  
OR MAT4906 Directed Independent Study  
   
Select Free Electives (If needed for 120 total hours) 6  
   
Total Hours: 15
Total Program Hours: 120
The Osprey Map is not a contract between the University of North Florida and the student. It should be used as a general guide for the purpose of meeting requirements and constructing course schedules. The Map may be altered periodically to meet the objectives of the academic program or the university.

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Release: 8.7.2