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Data Science CS Degree Requirements - Fall 2020
The first computer science and math courses of the data science degree are almost identical to those of the computer science degree. They lay the foundation of basic principles and skills for the major. The first data science courses in the plan of study are taken in the sophomore year: CS 242, Introduction to Data Science, and STAT 355, Statistics for Data Science. In addition to the body of courses required of all College of Science students, data science majors will take courses in data mining and machine learning, data analytics, probability, and statistical theory. A capstone course or experience is also part of the data science major. Other computer science and statistics electives allow students to tailor the major to personal interests.
All beginning data science majors are required to take CS 19100, Freshman Resources Seminar and CS 19300, Tools. These are 1 credit courses that Computer Science students take in their first semester. Students are equally encouraged to take CS 29100, Sophomore Development Seminar, and CS 39100, Junior Resource Seminar.
All DSCS required courses, all DSCS electives, and their pre-requisites, regardless of department, must be completed with a grade of C or better.
|CS 18000||Problem Solving and Object-Oriented Programming||4||1|
|CS 18200||Foundations of Computer Science||3||2|
|CS 38003||Python Programming||1||2|
|CS 24200||Introduction to Data Science||3||3|
|STAT 35500||Statistics for Data Science||3||3|
|CS 25100||Data Structures & Algorithms||3||4|
|CS 37300||Data Mining and Machine Learning||3||5|
|STAT 41700||Statistical Theory||3||5|
|CS 49000 LSDA||Large Scale Data Analytics||3||7|
|CS 49000 DSC||Data Science Capstone||0-3||8|
Transfer credit (including credit from regional campuses) for 100 and 200 level core courses is possible only if those courses are taken before the student enters the Purdue West Lafayette Computer Science program. The Department of Computer Science does not accept transfer credit for 300 or 400 level DS or CS coursework (with the exception of pre-approved Study Abroad coursework).
Detailed Data Science Description and Plan of Study from the University Catalog
Data Science Electives
The Data Science major requires two additional CS elective courses, one STAT elective course, and one Ethics elective course beyond the requirements in the table above. Required electives must be selected from the following tables.
Software Engineering I
|CS 31400||Numerical Methods||3|
Introduction to Relational Databases
Introduction to the Analysis of Algorithms
Introduction to the Theory of Computation
|CS 35500||Introduction to Cryptography||3|
|CS 47100||Introduction to Artificial Intelligence||3|
|CS 47300||Web Information Search and Management||3|
|CS 49000 IDV||Introduction to Data Visualization||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||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||3|
Unacceptable courses for credit for Data Science students in College of Science
Data Science prerequisite flowchart (PDF)
Visit the College of Science Curriculum Resources page to find Degree Progression Guides.
View details on the capstone requirement.