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Courses - Summer 2025
BSOS
Behavioral and Social Sciences
Open Seats as of
03/10/2025 at 10:30 PM
BSOS180
Introduction to Data Management
Syllabus Repository (0)
Credits: 1
Grad Meth: Reg, P-F, Aud
Credit only granted for: BSOS180 or BSOS188B.
Formerly: BSOS188B.
Additional information: Recommended for BSOS majors who need additional support for their disciplinary stats or research methods sequence.
Learn to read data, clean data sets, and perform other vital functions (mainly in Excel). Students will develop fundamental skills that will ease the transition into future coursework (or a career) in data science or analytics. Designed for students who have minimal background in Excel or computer software.
Credit only granted for: BSOS180 or BSOS188B.

Formerly: BSOS188B.

Additional information: Recommended for BSOS majors who need additional support for their disciplinary stats or research methods sequence.

Learn to read data, clean data sets, and perform other vital functions (mainly in Excel). Students will develop fundamental skills that will ease the transition into future coursework (or a career) in data science or analytics. Designed for students who have minimal background in Excel or computer software.
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BSOS233
(Perm Req)
Data Science for the Social Sciences
Syllabus Repository (0)
Credits: 3
Grad Meth: Reg, P-F, Aud
Prerequisite: Must have completed or be concurrently enrolled in STAT 100.
Restriction: Must be in a major in the College of Behavioral and Social Sciences or the College of Information Studies; or permission of instructor.
An introduction to modern methods of data analysis for social scientists. This course emphasizes teaching students who have no previous coding experience how to analyze data and extract meaning in a social science context. Students will gain critical programming skills and learn inferential thinking through examples and projects with real-world relevance.
Prerequisite: MATH 107 (or higher) or STAT 100.

Restriction: Must be in a major in the College of Behavioral and Social Sciences or the College of Information Studies; or permission of instructor.

An introduction to modern methods of data analysis for social scientists. This course emphasizes teaching students who have no previous coding experience how to analyze data and extract meaning in a social science context. Students will gain critical programming skills and learn inferential thinking through examples and projects with real-world relevance.

Please contact gdenbow@umd.edu for permission to register.
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BSOS288I
(Perm Req)
Special Topics in Behavioral and Social Sciences; Social Science Internship Practicum
Syllabus Repository (0)
Credits: 1 - 3
Grad Meth: Reg
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BSOS355
(Perm Req)
Social Sciences Internship Practicum
Syllabus Repository (0)
Credits: 3
Grad Meth: Reg
GenEd: DSSP
Restriction: Must have earned a minimum of 60 credits; and minimum cumulative GPA of 2.5; and must have completed at least 1 semester at UMD.
Credit only granted for: BSOS388I or BSOS355.
Formerly: BSOS388I.
BSOS 355 is an internship course open to all majors. It will enable students to articulate and apply the scholarship from the discipline related to their specific internship placement into a real-work environment.
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BSOS386
(Perm Req)
Experiential Learning
Syllabus Repository (0)
Credits: 3 - 6
Grad Meth: Reg
Contact department for information to register for this course.