Mission Statement
The Minor in Data Science prepares WPI undergraduates in any major with the skills essential to understand and work with data by applying models, algorithms and statistical techniques to extract, model, analyze and predict data. The minor complements many of the existing undergraduate majors at WPI from sciences to engineering that increasingly must work with large digital data sets using computational and statistical techniques and tools by providing these students with the core competencies of Data Science.
Students interested in the minor should meet with the Data Science minor advisor as early as possible in their academic career to develop a plan of study. They will be assigned a Data Science minor advisor after completing a minor declaration form.
The Minor in Data Science will consist of 2 units, all of which must be selected from the list of approved Data Science major courses. These 2 units must be selected to include the following:
Program Distribution Requirements for the Data Science Minor
The Minor in Data Science is open to all undergraduate majors at WPI. Students majoring in Business, Computer Science, or Mathematical Sciences should consult WPI rules on minors for double-counting courses.
Business, Computer Science and Mathematical Sciences (Minimum 3/3 Units)
Three courses, one from each of the three areas (Business, Computer Science, Mathematical Sciences) from the list of disciplinary courses approved for the Data Science major.
Data Science Series (Minimum 2/3 Units)
Advanced Disciplinary Course (Minimum 1/3 Unit)
At least one course at the 3000 level or above selected from the list of disciplinary courses approved for the Data Science major.
*Note that one course satisfies only one of the above requirements.
List of Approved Courses for the Data Science Minor
Credit may be earned for both BUS 2080 and OIE 2081
Credit may not be earned for both MA 2621 and MA 2631.
Notes:
Any graduate course approved for the Data Science graduate program can also be counted towards the Data Science minor. These courses are not repeated here.
DS 4099: Special Topics in Data Science is counted as a disciplinary elective course.
At most one course across all requirements may be taken at the 1000-level.
One course satisfies only one of the above requirements.