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Program at a Glance

Program
Bachelor
College(s)
College of Sciences
Department(s)
Statistics & Data Science
4
Years
U.S. News & World Report Best Colleges - Most Innovative 2025

Data Science is an emerging discipline that seeks to infer insights from large amounts of data ("big data") by using various statistical techniques and algorithms. The discipline is concerned with both statistical techniques that measure the validity of such insights and with computational techniques for managing data and resources efficiently.

The Data Science B.S. is an interdisciplinary degree that is offered jointly by the departments of Computer Science, Statistics and Data Science, Mathematics, and Industrial Engineering and Management Systems. This program emphasizes the technical aspects of big data analytics, including algorithm design, programming, acquisition, management, mining, analysis, and interpretation of data. This program aims to train students to develop algorithms and computerized systems to facilitate the discovery of information from big data.

In addition to preparing graduates for immediate entry into careers and the job market, graduates of this program may also go on to pursue advanced degrees, such as the UCF M.S. in Data Analytics program or a related M.S. degree, or a Ph.D. program in Computer Science, Statistics and Data Science or a related area, and graduates may also seek professional distinction.

Admission Requirements

  • None

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. Students should consult with a departmental advisor.
  • All prerequisites of courses taught within the College of Sciences and the College of Engineering & Computer Science will been forced.
  • 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. Data Science students must have continual access to a computer. Contact the UCF Technology Product Center or see the website (http://www.cstore.ucf.edu) for the minimum hardware and software specifications.
Two people working together on a computer

Highlights

Data scientists are one of the top five jobs in the U.S. according to Glassdoor.
Data scientists are in high-demand in many industries, including technology, finance, healthcare, manufacturing and gaming.
The demand for data science skills will grow 28 percent through 2026.
The national average salary for a data analyst is $62,000.

Undergraduate Application Deadlines

Fall
May 1
Spring
November 1
Summer
March 1
Fall
July 1
Spring
November 1
Summer
March 1
Fall
March 1
Spring
September 1
Summer
January 1

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Course Overview

Computer Science I

Learn problem solving techniques, order analysis and notation, abstract data types and recursion.

Explore the basic tools, theory and practice of Data Science.

Discover methods of analyzing data, statistical models, estimation, tests of hypotheses, regression and correlation, an introduction to analysis of variance, chi-square and nonparametric methods.

We’re offering students a modern degree in a field that is growing as quickly as it is evolving.” ”

— Shunpu Zhang, Ph.D., Statistics and Data Science department chair

Data Science 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, etc.
  • Collect, shape, store, manage and analyze data for various organizations across different industries.

Career Opportunities

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

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