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Data Science – Computer Science
College of Science
Program Progression Guides
Disclaimer : The 2022-2023 Purdue West Lafayette catalog is considered the source for academic and programmatic
requirements for students entering programs during the Fall 2022, Spring 2023, and Summer 2023 semesters. The
Program Progression Guide assists students in the development of an individualized 8-semester plan. Students are
encouraged to use this guide, MyPurduePlan* (online degree auditing tool) and the Student Educational Planner (SEP)
as they work with their academic advisor towards the completion of their degree requirements.
Notification : Each student is ultimately responsible for knowing, monitoring and completing all degree requirements.
An undergraduate degree in the College of Science requires completion of the following degree requirements.
University Degree Requirements
Minimum 2.0 Cumulative GPA Minimum 120 Credits that fulfill
degree requirements
32 Residency Credits (30000 and above) at a
Purdue University campus
University Core Curriculum**
- Human Cultures: Behavioral/Social Science
- Human Cultures: Humanities
- Information Literacy
- Oral Communication
University Core Curriculum
Course Listing
- Quantitative Reasoning
- Science
- Science, Technology & Society Selective
- Written Communication
Civic Literacy Proficiency - https://www.purdue.edu/provost/about/provostInitiatives/civics/
Required Major Program Courses
Departmental specific requirements: A minimum of a C is required in all Data Science Major coursework regardless of
department.
College of Science Core Curriculum
- Freshman Composition – 3-4 credits
- Technical Writing and Presentation – 3-
credits
- Teaming & Collaboration (NC)
- General Education - 9 credits
- Foreign Language & Culture – 0-9 credits
- Great Issues - 3 credits
- Laboratory Science – 6-8 credits
Multidisciplinary - 3 credits
- Mathematics - 6-10 credits
- Statistics - 3 credits
- Computing – 3-4 credits
Degree Electives
Any Purdue or transfer course approved to meet degree requirements in accordance with individual departmental policies.
Consult the No Count course list for courses, which may not be used to meet any College of Science degree requirement.
* This audit is not your academic transcript and it is not official notification of completion of degree or certificate
requirements.
** University Core Curriculum Outcomes may be met through completion of the College of Science Core curriculum.
Students should consult with their academic advisors and MyPurdue Plan for course selections.
2022-23 Data Science Degree Progression Guide
The Computer Science and Statistics Departments has suggested the following degree progression guide for the Data Science Degree. Students will work with their academic advisors to determine their best path to degree completion. Course pre-requisites are specific to this degree plan.
Credit Fall 1st Year Prerequisite Credit Spring 2nd Year Prerequisite 4 CS 18000 CC^ *** Co-req CALC I 3 CS 18200 *** CS 18000 & CALC I 1 CS 19100 * Co-req CS 18000 1 CS 38003 *** CS 18000 1 CS 19300 * Co-req CS 19100 4-5 MA 16200 or MA 16600 ** CALC I 4-5 MA 16100CC^ or 16500CC^ ** ALEKS 85+ 3-4 Science Core Option 3-4 Science Core Option 3 Science Core Option 3 Free Elective 1-2 Free Elective 16 - 18 15 - 18
Credit Fall 2nd Year Prerequisite Credit^ Spring 2nd Year Prerequisite
3 CS/or STAT 24200 ***
CS 18200,
CS 38003, & Co- req STAT 35500
3 CS 25100 *** CS 18200 &
CS/STAT 24200
3 STAT 35500 *** CALC II 3 MA 35100 *** CALC III
4-5 MA 26100 or MA 27101*** CALC II 3 STAT 41600 *** CALC III 3-4 Science Core Option 3 Ethics Selective *** Varies 1-3 Free Elective 3-4 Science Core Option 1-2 Free Elective 14 - 18 16 - 18
Credit Fall 3rd Year Prerequisite Credit Spring 3rd Year Prerequisite
3 CS 37300 *** CS 25100 & Co- req STAT 35500
3 CS Selective *** Varies
3 STAT 41700 ***
STAT 35500 &
STAT 41600 3 STAT Selective ***^ Varies 3 Science Core Option (sugg. COM 21700) 3-4 Science Core Option 3-4 Science Core Option 3-4 Science Core Option 3 Free Elective 3 Free Elective 15 - 16 15 - 17
Credit Fall 4th Year Prerequisite Credit Spring 4th Year Prerequisite 3 CS Selective *** (^) Varies 0 - 3 CS 49000 Data Science Capstone (Recommended Option) /or Capstone Experience ***
CS 37300
3 CS 44000 LSDA *** CS 37300 & STAT
3-4 Science Core Option
3-4 Science Core Option 3-4 Science Core Option 3 Free Elective 3 Free Elective 3 Free Elective 3 Free Elective 1 Free Elective (^1) Free Elective 16 - 17 13 - 18
Science Core Curriculum Options (one course needed for each requirement unless otherwise noted) Options recommended for first- and second-year students Options recommended for third- and fourth-year students Freshman CompositionUC^ Technical Writing and PresentationUC^ (COM 217 recommended) Computing (CS 18000) General EducationUC^ (3 courses needed) Foreign Language and CultureUC^ (3 courses needed) Lab ScienceUC^ (2 courses needed) Multidisciplinary ExperienceUC^ Great Issues
UC Select courses may also satisfy a University Core Curriculum requirement; see the University Core Requirement course list for
approved courses. Students must have 32 credits at the 30000 level or above taken at Purdue.
*Enrollment in freshman seminar courses CS 19100 and CS 19300 is required with CS 17700 or CS 18000. They are not degree
requirements. Superscript of CC (eg CS 18000 CC^ ) indicates a Critical Course
***All courses required for the major, regardless of department, must be completed with a grade of “C” or better.
2022-2023 Data Science Major Courses
Credits Course Number Course Description
4 CS 18000 Problem Solving and object-Oriented Programming 3 CS 18200 Foundations of Computer Science 1 CS 38003 Python Programming 3 CS/or STAT 24200 Introduction to Data Science 3 STAT 35500 Statistics for Data Science 3 CS 25100 Data Structures and Algorithms 4-5 MA 26100 or MA 27101 Multivariate Calculus 3 MA 35100 Elementary Linear Algebra 3 STAT 41600 Probability 3 CS 37300 Data Mining and Machine Learning 3 STAT 41700 Statistical Theory 3 CS 44000 LSDA Large Scale Data Analytics 0-3 CS 49000 DSC Data Science Capstone
2022-2023 Data Science Computer Science Selectives Course Options (Choose 2)
Credits Course Number Course Description
CS 30700
or CS 40800
Software Engineering I or Software Testing 3 CS 31400 Numerical Methods
CS 34800
or CS 44800
Information Systems or Introduction to Relational Databases
CS 38100
or CS 48300
Introduction to the Analysis of Algorithms or Introduction to the Theory of Computation 3 CS 35500 Introduction to Cryptography 3 CS 43900 Introduction to Data Visualization 3 CS 47100 Introduction to Artificial Intelligence 3 CS 47300 Web Information Search and Management 3 CS 47500 Human Computer Interaction
2022-2023 Data Science Statistic Selective Course Options (Choose 1)
Credits Course Number Course Description
3 STAT 42000 Introduction to Time Series 3 MA/STAT 49000 Elementary Stochastic Processes 3 STAT 50600 Statistical Programming and Data Management 3 STAT 51200 Applied Regression Analysis 3 STAT 51300 Statistical Quality Control 3 STAT 51400 Design of Experiments 3 STAT 52200 Sampling and Survey Techniques 3 STAT 52500 Intermediate Statistical Methodology
2022-2023 Data Science Ethics Selective Course Options (Choose 1)
Credits Course Number Course Description
3 ILS 23000 Data Science & Society: Ethical, Legal, Social Issues 3 PHIL 20700 Ethics For Technology, Engineering, And Design
3 PHIL 20800 Ethics Of Data Science
