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Data Science BS


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Overview Contact I. Foundation Courses II. Physical Sciences II. Life Sciences III. Quantitative Reasoning IV. World Languages and Global Culture IV. Humanities and the Arts V. Social Sciences VI. Courses Related to the Major Required Courses Major Electives General Electives Total Major Hours Career Information Four-Year Program of Study

Overview

The major will provide necessary background in mathematics and build a strong foundation in Data Science, covering data structures, algorithms and database management, data collection, data mining, machine learning, modeling, and inference. Students graduating with a B.S. in Data Science will know how to develop software, design and maintain databases, process data in distributed environments, analyze the data using techniques from statistics, data mining and machine learning, provide visualizations of the data or the results of analysis, and assist decision makers. The program will include experiential learning via a capstone course, which will focus on applying the acquired knowledge and skills in a real-world data analytics project.

Double Dawgs

This major is part of a Double Dawgs pathway: Data Science BS/Data Science MS(non-thesis) Data Science BS/Statistics MS Data Science BS/Statistics MS(non-thesis) For more information, go to doubledawgs.uga.edu

Contact

Dr. Lynne Seymour Associate Professor and Undergraduate Coordinator (706) 542-3307 seymour@uga.edu Michael Cotterell School of Computing Undergraduate Advisor, Computer Science Senior Lecturer mepcott@uga.edu Gagan Agrawal gagrawal@uga.edu

Four-Year Program of Study

Four-Year Program of Study

The following program of study provides a path for students to complete this degree program in four years.

Fall Year 1
ENGL 1101 
Communication Skills
Critical Thinking
English Composition I 3
FYOS 1001  First-Year Odyssey Seminar 1
MATH 2250  Calculus I for Science and Engineering 4
STAT 2010 
Analytical Thinking
Statistical Methods for Data Scientists 3
Spring Year 1

Area IV Humanities and the Arts

CSCI 1302  Software Development 4
ENGL 1102 
Communication Skills
Critical Thinking
English Composition II 3
MATH 2260  Calculus II for Science and Engineering 4
STAT 2360-2360L 
Analytical Thinking
Communication Skills
Programming and Data Literacy Using R 4
Summer Year 1

N/A

Fall Year 2

Area IV World Languages & Global Culture

CSCI 3360  Data Science and Applied Machine Learning I 4
MATH 2270  Calculus III for Science and Mathematics 4
POLS 1101 
Analytical Thinking
Critical Thinking
American Government 3
STAT 4230/6230 
Analytical Thinking
Applied Regression Analysis 3
Spring Year 2

Area IV World Languages & Global Culture

CSCI 4360/6360  Data Science and Applied Machine Learning II 4
HIST 2111 
Communication Skills
Critical Thinking
Social Awareness
American History to 1865 3
STAT 4220 
Analytical Thinking
Critical Thinking
Applied Experimental Designs 3

Choose 1 course(s) from the following:

CSCI 2150-2150L  Introduction to Computational Science 4
MATH 3300  Applied Linear Algebra 3
Summer Year 2

N/A

Fall Year 3

Area II Physical Science

Area IV World Languages & Global Culture

CSCI 4260/6260  Data Security and Privacy 4
STAT 4365/6365 
Analytical Thinking
Modern Statistical Programming 3
STAT 4510 
Analytical Thinking
Mathematical Statistics I 3
Spring Year 3

Area II Biological Science

Area V Social Science

CSCI 2725  Data Structures for Data Science 4

PEDB course

STAT 4530/6530  Statistical Inference for Data Scientists 3
Summer Year 3

N/A

Fall Year 4
CSCI 4370/6370  Database Management 4

Major Elective

Major Elective

Choose 1 course(s) from the following:

CSCI 4380/6380  Data Mining 4
STAT 4250/6250  Applied Multivariate Analysis and Statistical Learning 3
Spring Year 4

General Elective

Major Elective

Major Elective

STAT(CSCI) 5030  Data Science Capstone Course 3
Summer Year 4

N/A

University-Wide Requirements

Link: University-wide Requirements

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