Certificate in Data Science

The certificate in data science has five specific competencies that students who complete the certificate are expected to master.

1. Use open-source software to analyze data.
2. Apply modern software tools to construct reproducible data science workflows.
3. Identify settings where machine learning can be used to inform public health and clinical decision making and apply common machine learning frameworks to data.
4. Develop data science products that increase accessibility and interpretability of analytic findings.
5. Communicate effectively with public health stakeholders.

This certificate program has 4 required courses (R programming, data science toolkit, machine learning, and a current topics course) which is 8-9 credit hours plus 3-4 hours of elective credits. Students must additionally ensure that their APE and ILEs can be related to data science, as described below. In extenuating circumstances, students may replace the APE and/or ILE requirement with additional elective courses in lieu of these requirements.

Programming:

 Data Science Toolkit:

Machine Learning (Choose One):

Current Topics:

All certificate students should enroll in DATA 555 in the spring semester of their second year. This course will facilitate the integration of the development of an approved data science product into the students’ existing ILE requirements.

All students should make a good faith effort to complete a data science component as a part of their ILE and enroll in DATA 555. However, if extenuating circumstances preclude a student from identifying an appropriate data science component for their ILE, then an additional 4 credit hours of electives may be completed in lieu of DATA 555.

Applied Practice Experience (APE)

To satisfy the certificate APE requirement, either:
      1) A data science-related APE should be completed; or
      2) 3 additional credit hours from the list of electives above should be completed

Integrated Learning Experience (ILE)

We will offer a 2 credit Current Topics in Data Science (DATA 555) that students will complete in the spring semester of the second year. This course must be taken in addition to each degree program’s specific ILE requirements. If a project cannot be identified then the student must complete an additional 4 credit hours of electives from the list of acceptable elective courses.

Each fall semester students will declare their interest in the certificate by submitting a formal Declaration of Intent. The Declaration will ask students to answer specific questions to gauge the student’s interest and desire to complete the Data Science Certificate. 

The Declaration of Intent form is available from August 22, 2024, to August 28, 2024, pm.

Please note: the declaration of intent form requires that you sign in using your Emory.edu email. Students are responsible for enrolling in required and elective courses each semester prior to add/drop/swap ends. Additionally, the department is unable to increase enrollment capacity.