## ##   * Overview
  * Minor Requirements
The minor in data science studies the collection, manipulation, storage,
retrieval, and computational analysis of data in its various forms, including
numeric, textual, image, and video data from small to large volumes.
_Note: Khoury minors are only available to non–Khoury majors; students in
Khoury-only majors or Khoury combined majors are not eligible for Khoury
minors. A student may declare at most one Khoury minor, regardless of how many
Khoury minors they qualify for.​_
Complete all courses listed below unless otherwise indicated. Also complete
any corequisite labs, recitations, clinicals, or tools courses where
specified.
## Required Courses
Course List Code | Title | Hours  
---|---|---  
Computer Science Fundamental Courses|  
Complete one of the following options:| 9-10  
_Fundamentals of Computer Science Option_|  
[CS 2500](/search/?P=CS%202500 "CS 2500")  
and [CS 2501](/search/?P=CS%202501 "CS 2501")| Fundamentals of Computer
Science 1  
and Lab for CS 2500|  
[CS 2510](/search/?P=CS%202510 "CS 2510")  
and [CS 2511](/search/?P=CS%202511 "CS 2511")| Fundamentals of Computer
Science 2  
and Lab for CS 2510|  
_Programming with Data Option_|  
[DS 2000](/search/?P=DS%202000 "DS 2000")  
and [DS 2001](/search/?P=DS%202001 "DS 2001")| Programming with Data  
and Data Science Programming Practicum|  
[DS 2500](/search/?P=DS%202500 "DS 2500")  
and [DS 2501](/search/?P=DS%202501 "DS 2501")| Intermediate Programming with
Data  
and Lab for DS 2500|  
Data Science Required Course|  
[DS 3000](/search/?P=DS%203000 "DS 3000")| Foundations of Data Science| 4  
## Data Science Electives
Course List Code | Title | Hours  
---|---|---  
Complete two of the following (only one course from the meaningful minor list
may contribute toward the minor requirements):| 8  
[CS 3200](/search/?P=CS%203200 "CS 3200")| Introduction to Databases|  
DS 2010 to DS 4989|  
Meaningful minor list (see below)|  
## Khoury Meaningful Minors
The concept of Khoury Meaningful Minors allows students the chance to
personalize a computer science minor to meet individual academic needs and
interests. Students may take  _one elective_ related to computation or
information from a preapproved list of courses offered across the university
rather than from within Khoury. This allows students to integrate the minor
with a course in their own major or with a course in another area of interest.
Students may of course choose to take all electives in the minor within Khoury
if they wish.
Course List Code | Title | Hours  
---|---|---  
_Arts, Media and Design_|  
[ARTG 3451](/search/?P=ARTG%203451 "ARTG 3451")| Information Design 1|  
[ARTG 5100](/search/?P=ARTG%205100 "ARTG 5100")| Information Design Studio 1:
Principles|  
[ARTG 5110](/search/?P=ARTG%205110 "ARTG 5110")| Information Design History|  
[ARTG 5120](/search/?P=ARTG%205120 "ARTG 5120")| Research Methods for Design|  
[ARTG 5330](/search/?P=ARTG%205330 "ARTG 5330")| Visualization Technologies 1:
Fundamentals|  
[ARTG 6100](/search/?P=ARTG%206100 "ARTG 6100")| Information Design Studio 2:
Dynamic Mapping and Models|  
[GSND 5110](/search/?P=GSND%205110 "GSND 5110")| Game Design and Analysis|  
[GSND 6350](/search/?P=GSND%206350 "GSND 6350")| Data-Driven Player Modeling|  
_Bouvé Health Sciences_|  
[HINF 5101](/search/?P=HINF%205101 "HINF 5101")| Introduction to Health
Informatics and Health Information Systems|  
[HINF 5102](/search/?P=HINF%205102 "HINF 5102")| Data Management in
Healthcare|  
[HINF 5300](/search/?P=HINF%205300 "HINF 5300")| Personal Health Interface
Design and Development|  
[HINF 5301](/search/?P=HINF%205301 "HINF 5301")| Evaluating Health
Technologies|  
_D'Amore-McKim—Business_|  
[FINA 4335](/search/?P=FINA%204335 "FINA 4335")| Computational Methods and
Their Applications in Finance|  
[FINA 4350](/search/?P=FINA%204350 "FINA 4350")| Applied Financial
Econometrics and Data Modeling|  
[FINA 4390](/search/?P=FINA%204390 "FINA 4390")| Machine Learning in Finance|  
[MISM 2510](/search/?P=MISM%202510 "MISM 2510")| Fundamentals of Information
Analytics|  
[MISM 3403](/search/?P=MISM%203403 "MISM 3403")| Data Management for Business|  
[MISM 3501](/search/?P=MISM%203501 "MISM 3501")| Information Visualization for
Business|  
[MISM 3515](/search/?P=MISM%203515 "MISM 3515")| Data Mining for Business|  
[MKTG 3401](/search/?P=MKTG%203401 "MKTG 3401")| Marketing Research|  
[MKTG 3501](/search/?P=MKTG%203501 "MKTG 3501")| Marketing Analytics|  
[SCHM 2301](/search/?P=SCHM%202301 "SCHM 2301")| Supply Chain and Operations
Management|  
_Computer and Information Science_|  
[CY 5010](/search/?P=CY%205010 "CY 5010")| Cybersecurity Principles and
Practices|  
[CY 5200](/search/?P=CY%205200 "CY 5200")| Security Risk Management and
Assessment|  
_Engineering_|  
[CIVE 3464](/search/?P=CIVE%203464 "CIVE 3464")| Probability and Engineering
Economy for Civil Engineering|  
[EECE 5639](/search/?P=EECE%205639 "EECE 5639")| Computer Vision|  
[EECE 5642](/search/?P=EECE%205642 "EECE 5642")| Data Visualization|  
[EECE 5644](/search/?P=EECE%205644 "EECE 5644")| Introduction to Machine
Learning and Pattern Recognition|  
[IE 5640](/search/?P=IE%205640 "IE 5640")| Data Mining for Engineering
Applications|  
_Science_|  
[BINF 6308](/search/?P=BINF%206308 "BINF 6308")| Bioinformatics Computational
Methods 1|  
[BINF 6309](/search/?P=BINF%206309 "BINF 6309")| Bioinformatics Computational
Methods 2|  
[ENVR 2500](/search/?P=ENVR%202500 "ENVR 2500")| Biostatistics|  
[MATH 2331](/search/?P=MATH%202331 "MATH 2331")| Linear Algebra|  
[MATH 2341](/search/?P=MATH%202341 "MATH 2341")| Differential Equations and
Linear Algebra for Engineering|  
[MATH 3081](/search/?P=MATH%203081 "MATH 3081")| Probability and Statistics|  
[MATH 4581](/search/?P=MATH%204581 "MATH 4581")| Statistics and Stochastic
Processes|  
[PSYC 2320](/search/?P=PSYC%202320 "PSYC 2320")| Statistics in Psychological
Research|  
_Social Science and Humanities_|  
[ECON 2350](/search/?P=ECON%202350 "ECON 2350")| Statistics for Economists|  
[ECON 2560](/search/?P=ECON%202560 "ECON 2560")| Applied Econometrics|  
[ECON 3916](/search/?P=ECON%203916 "ECON 3916")| Intermediate Selected Topics
in Microeconomics|  
[PHIL 2001](/search/?P=PHIL%202001 "PHIL 2001")| Ethics and Evolutionary
Games|  
[POLS 2400](/search/?P=POLS%202400 "POLS 2400")| Quantitative Techniques|  
## GPA Requirement
2.000 GPA required in the minor