DAT_BS - Data Science
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About This Program
About this Program
- College: Liberal Arts and Sciences
- Degrees: Bachelor of Science
- Credits for Degree: 120
- Contact: Email
- More Info
To graduate with this major, students must complete all university, college, and major requirements.
The mission of the Department of Statistics is to provide its students with a fundamental understanding of statistical reasoning and methodology, to train them to apply this knowledge to the collection and analysis of data, and to prepare them for careers in a highly technological society in which science and decision-making are increasingly driven by a rapid expansion in the quantity and availability of data.
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CONTACT
Email | 352.392.1941 (tel) | 352.392.5175 (fax)
P.O. Box 118545
102 GRIFFIN-FLOYD HALL
GAINESVILLE FL 32611-8545
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Curriculum
About This Program
Data Science majors draw inference from large data generated from a variety of disciplines. Core courses cover mathematical foundations of data science, programming, algorithms, and databases as well as statistical methods for data science. Majors will also learn about data science in practice within subject matter areas.
Students who wish to major in data science must consult a department advisor early in their programs.
Requirements for the Major
The BS in Data Science requires a minimum of 64 credits in data science and related coursework plus 7 credits of required foundation coursework. Students must receive minimum grades of B (within 2 attempts including withdrawals) in STA2023 or STA 3032 as well as MAC 2312 and MAC 2313. All other required core and major elective courses must be completed with a minimum grade of C within two attempts (including withdrawals).
- It is important that the prerequisites of each course are met before the course is attempted.
- To take STA 3100, which is required for the major, students must meet the prerequisite: (STA 2023 with a minimum grade of B) or (STA 3032 with a minimum grade of B) or (AP Statistics with a score of 4 or higher out of 5).
- Students cannot retake core or statistics elective courses after earning a minimum grade of C, with the exception of STA 2023 or STA 3032, MAC 2312 and MAC 2313, in which students must receive a minimum grade of B.
- The grades from all attempts to satisfy core requirements will be used to compute the minimum GPA.
A minimum of 18 credits of major coursework must be taken at UF, including a minimum of 12 credits of core coursework.
Required Foundation Coursework
| Code | Title | Credits |
|---|---|---|
| MAC 2311 | Analytic Geometry and Calculus 1 | 4 |
| STA 2023 | Introduction to Statistics 1 | 3 |
| or STA 3032 | Engineering Statistics | |
| Total Credits | 7 | |
Required Major Coursework
| Code | Title | Credits |
|---|---|---|
| Data Science Major Core Coursework | ||
| Mathematics | 17 | |
| Analytic Geometry and Calculus 2 (minimum grade of B) | ||
| Analytic Geometry and Calculus 3 (minimum grade of B) | ||
| Intro to Computational Math | ||
| Computational Linear Algebra | ||
| Linear Algebra for Data Science | ||
| Statistics | 18 | |
| Programming With Data in R | ||
| Introduction to Probability | ||
| Introduction to Statistics Theory | ||
| Regression Analysis | ||
| Statistical Learning in R | ||
| Statistical Computing in R | ||
| Computer Science | 17 | |
| Programming Fundamentals 1 (MAC 2311 coreq) | ||
| Programming Fundamentals 2 | ||
| Discrete Mathematics | ||
or COT 3100 | Applications of Discrete Structures | |
| Data Structures and Algorithm | ||
| Information and Database Systems 1 | ||
| Ethics | 3 | |
| Ethics, Data, and Technology | ||
| Subject Area Electives | 9 | |
Select 3 | ||
| Special Topics in Anthropology | ||
| Interactive Modeling and Animation 1 | ||
| Introduction to Bioinformatic Algorithms | ||
| Classical Archaeology | ||
| Econometrics 2 | ||
| Laboratory in Sensory Processes | ||
| Foundations of Geographic Information Systems | ||
| Special Topics in International Relations | ||
| Intro to Corpus Linguistics | ||
| Methods in Psycholinguistics | ||
| Genetical Ethics | ||
| Higher Thinking for Healthy Humans: AI in Healthcare and Public Health | ||
| Advanced Computational Techniques | ||
| Special Topics in Political Science | ||
| Laboratory in Cognitive Neuroscience | ||
| Environmental Ethics | ||
| Global Ethics | ||
| Religion and Science | ||
| Special Topics | ||
| Overseas Studies | ||
| Population | ||
| US Population Issues | ||
| Gender, Race and Science | ||
| History of American Medicine: Race, Class, Gender, and Science | ||
| Data Feminisms | ||
| Discrimination and Health | ||
Relevant Minors and Certificates
Data Science majors may want to consider a minor in actuarial science, which prepares students for careers as actuaries. Required courses cover the material for the beginning examinations and VEE credits leading to an associateship in the major national actuarial societies