Program Overview

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Bachelor of Science in Data Science

The Bachelor of Science in Data Science program at the University of Central Florida is designed to provide students with a comprehensive understanding of the technical aspects of big data analytics. This interdisciplinary degree is offered jointly by the departments of Computer Science, Statistics and Data Science, Mathematics, and Industrial Engineering and Management Systems.

Program Overview

The program emphasizes the technical aspects of big data analytics, including algorithm design, programming, acquisition, management, mining, analysis, and interpretation of data. Students will learn to develop algorithms and computerized systems to facilitate the discovery of information from big data.

Program at a Glance

• Program: Bachelor of Science in Data Science
• College: College of Sciences
• Department: Statistics and Data Science
• Duration: 4 years
• Tuition:
  • In-state: $212.28 per credit hour
  • Out-of-state: $802.54 per credit hour

Career Opportunities

Graduates of the Data Science program can pursue careers in various fields, including:

• Data Analyst
• Data Scientist
• Data Engineer
• Machine Learning Specialist
• Enterprise Architect

Skills You'll Learn

• Gain a solid foundation in the basic science behind data creation and extraction
• Learn how to extract actionable insight from data using data science techniques, including Machine Learning, Deep Learning, and Natural Language Processing
• Collect, shape, store, manage, and analyze data for various organizations across different industries

Admission Requirements

• None specified

Degree Requirements

• Students who change degree programs and select this major must adopt the most current catalog
• With the exception of the Capstone course, co-op or internship credit cannot be used in this major
• All prerequisites of courses taught within the College of Sciences and the College of Engineering & Computer Science will be enforced
• Courses designated in the General Education Program (with the exception of prerequisite courses) may be spread over 4 years, and those designated in the Common Program Prerequisites section must be completed within the first 60 hours
• Students must earn at least a "C" (2.0) in each advanced core required course for the major
• Students must achieve a minimum cumulative GPA of 2.0 in all courses satisfying major requirements

Core Requirements: Advanced Level

• Total Credits: 66
• Complete all of the following:
  • Basic core is met by courses specifically identified in the GEP and CPP
  • Complete the following courses:
    • COP3502C - Computer Science I (3)
    • CIS4340 - Data Management Technology (3)
    • COP4283 - Data Science Programming (3)
    • ISC4241 - Data Science I (3)
    • ISC4242 - Data Science II (3)
    • ISC4551 - Data Graphics and Visualization (3)
    • MAS3105 - Matrix and Linear Algebra (4)
    • STA4364 - Statistical Foundations of Data Science and Artificial Intelligence I (3)
    • STA4365 - Statistical Foundations of Data Science and Artificial Intelligence II (3)
    • STA4163 - Statistical Methods II (3)
    • STA4164 - Statistical Methods III (3)
    • STA4724 - Big Data Analytics Methods (4)
• Complete at least one of the following:
  • COT3100C - Introduction to Discrete Structures (3)
  • MHF3302 - Logic and Proof in Mathematics (3)
• Complete at least one of the following:
  • CAP4611 - Algorithms for Machine Learning (3)
  • ESI4312 - Deterministic Methods for Operations Research (3)
  • MAP4112 - Mathematical Foundations of Machine Learning and Artificial Intelligence (3)
  • STA4241 - Statistical Learning (3)
• Complete at least one of the following:
  • ISC4311 - Predictive Analytics (3)
  • STA4852 - Applied Time Series (3)
• Earn at least 19 credits from upper-division (3000-level or above) courses that are not used to satisfy another degree requirement

Capstone Requirement

• Total Credits: 4
• Complete at least one of the following:
  • ISC4323C - Praxis for Data Science (4)
  • STA4942 - Internship in Data Science (4)

Grand Total Credits

• 70

Total Undergraduate Credit Hours Required

• 120

Foreign Language Requirements

• None

Departmental Exit Requirements

• All students will complete an exit interview
• Students must earn at least a "C" (2.0) in each advanced core required course for the major
• Students must achieve a minimum cumulative GPA of 2.0 in all courses satisfying major requirements

University Minimum Exit Requirements

• A 2.0 UCF GPA
• 42 semester hours of upper division credit completed
• 30 of the last 39 hours of course work must be completed in residency at UCF
• A maximum of 45 hours of extension, correspondence, CLEP, Credit by Exam, and Armed Forces credits permitted
• Complete the General Education Program, the State Writing and Math Requirement, and nine hours of summer credit

Honors In Major

Application and admissions through The Burnett Honors College and department

Related Programs

• Actuarial Science (B.S.)
• Computer Science (B.S)
• Industrial Engineering (B.S.)
• Mathematics (B.S.)
• Statistics (B.S.)
• Actuarial Science Minor
• Business Minor
• Computer Science Minor
• Economics Minor
• Information Technology Minor
• Leadership Studies Minor
• Mathematics Minor
• Secure Computing and Networks Minor
• Statistics Minor
• Technological Entrepreneurship Minor

Advising Notes

• It is the student's responsibility to ensure they have satisfied course prerequisites before registering for a class
• Students should consult with a program advisor

Transfer Notes

• Lower division courses do not substitute for upper division courses
• Courses transferred from private and out-of-state schools must be evaluated for equivalency credit
• The following substitutions are acceptable for Common Program Prerequisites if taken as part of the AA course work
  • Computer Science: Any COP programming language course will satisfy the CPP