Health Data Analytics BS

Major: Health Data Analytics
Degree Awarded: Bachelor of Science (BS) 
Calendar Type: Quarter
Minimum Required Credits: 180.0
Co-op Options: One Co-op (Four years)
Classification of Instructional Programs (CIP) code: 26.1102
Standard Occupational Classification (SOC) code: 15-2098

About the Program

The Bachelor of Science in Health Data Analytics prepares students to apply quantitative methods to a variety of real-world data analysis problems. Students will take courses in biostatistics, information science, public health, mathematics, epidemiology, and additional scientific disciplines of their choosing. Through their coursework, students will learn the analytic and computational skills necessary to handle large and complex data problems and apply statistical analysis techniques appropriately. The program is interdisciplinary, and students will be exposed to contemporary scientific problems to provide context and motivation for methodological topics. Computing, data visualization, and scientific communication skills will be emphasized throughout, providing students with tools to serve as essential team members in a variety of data-driven research and industry settings.

This degree will prepare students for jobs requiring data analysis skills in industry and government, including health informatics, clinical research, consulting, public health, health policy, drug development, insurance, or graduate work in statistics, epidemiology, or other quantitative fields.

Additional Information

For more information about this program, please contact:

DSPH Academic Advising Team
Office of Education
​dsphadvising@drexel.edu

Additional information can be found on the Dornsife School of Public Health website, including admissions criteria and how to apply.

Degree Requirements

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Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major. 

COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

**

Students who take the BIO 107 and BIO 108 sequence will take 41.0 free elective credits.

Writing-Intensive Course Requirements

In order to graduate, all students must pass three writing-intensive courses after their freshman year. Two writing-intensive courses must be in a student's major. The third can be in any discipline. Students are advised to take one writing-intensive class each year, beginning with the sophomore year, and to avoid “clustering” these courses near the end of their matriculation. Transfer students need to meet with an academic advisor to review the number of writing-intensive courses required to graduate.

A "WI" next to a course in this catalog may indicate that this course can fulfill a writing-intensive requirement. For the most up-to-date list of writing-intensive courses being offered, students should check the Writing Intensive Course List at the University Writing Program. Students scheduling their courses can also conduct a search for courses with the attribute "WI" to bring up a list of all writing-intensive courses available that term.

Sample Plan of Study

4 year, 1 co-op

*

Students who take the BIO 107 and BIO 108 sequence will take 41.0 free elective credits.

**

Co-op cycles may vary. Students are assigned a co-op cycle (fall/winter, spring/summer, summer-only) based on their co-op program (4-year, 5-year) and major. 

COOP 101 registration is determined by the co-op cycle assigned and may be scheduled in a different term. Select students may be eligible to take COOP 001 in place of COOP 101.

Program Level Outcomes

Major Competencies

Upon completion of the program, graduates will be prepared to:

• Describe data in context, using information about data collection, study design, and scientific domain knowledge to build understanding of measured variables
• Manage and manipulate complex datasets
• Apply advanced statistical analysis methods appropriately
• Create data visualizations and communicate findings to a broad audience
• Work collaboratively as part of a research team