Boston University Course Search

Search our database of over 7,000 courses.

Perform a basic search by entering keywords you would expect to find in the course description or by entering a full course number (example: CAS XX 123). If you would like to see expected course offerings for a particular semester, select that semester in the drop-down box. If you would like to see all courses expected to be offered in the future, select “Future Semesters.”

To perform a more targeted search, select Additional Search Options

Schools/Colleges/Programs

Select all of the schools/colleges/programs you’re interested in searching. If all options are unchecked, all schools/colleges/programs will be searched by default.

* Course offerings with the HUB code include the Cross-College Challenge (XCC), Hub cocurriculars, and select Hub Study Abroad experiences only.

Abbreviation Glossary

Credits

BU Hub Pathways

Display courses in the following Hub Pathway:

About BU Hub Pathways

BU Hub Areas

Courses that match of the Hub areas selected will be displayed.

Philosophical, Aesthetic, and Historical Interpretation

Scientific and Social Inquiry

Quantitative Reasoning

Diversity, Civic Engagement, and Global Citizenship

Communication

Intellectual Toolkit

All Hub Courses
Searching for QSTIS853 returned 1 classes
  • QST IS 853

    Business Insights through Text

    Grad Prereq: QST MK 842 or QST IS 833 or QST IS 834 or QST QM 877; QST MK842 or IS833 or IS834 or QM877

    Eighty to ninety percent of current exponential data growth is attributed to unstructured data such as text. Increasingly, the data has become more like crude oil that has to be refined and structured to extract value for business insights and strategies. Managers need to understand the opportunities and challenges associated with unstructured data for competitive advantage. In this class, students will learn what businesses can do with text data through a variety of case-based examples based on research and industry applications from Marketing, Information Systems, Finance, Strategy, and Social Impact perspectives. This is a course dedicated to understanding the potentials of text data in different settings curated based on Natural Language Processing (NLP) techniques involved. The focus of the course is on the substantive value of text and methods will be introduced as backdrops. Throughout the course, we will use Python, a powerful language and the main tool used by deep learning data scientists. However, skeleton codes will be provided to reduce technical burdens. 1.5 cr.

    [ 1.5 cr.]

Abbreviation Glossary

Abbreviation Name
CAS College of Arts & Sciences
CFA College of Fine Arts
CGS College of General Studies
COM College of Communication
EGS College of Engineering and Graduate School of Arts & Sciences
ENG College of Engineering
EOP Center for English Language & Orientation Programs (CELOP)
GMS Graduate Medical Sciences
GRS Graduate School of Arts & Sciences
HUB BU Hub general education program
KHC Questrom School of Business
LAW School of Law
MED School of Medicine
OTP Officer Training Program
PDP Physical Education Recreation and Dance
QST Questrom School of Business
SAR Sargent College
SDM Henry M. Goldman School of Dental Medicine
SED Wheelock College of Education & Human Development
SHA School of Hospitality Administration
SPH School of Public Health
SSW School of Social Work
STH School of Theology
XRG Cross Registration