Data Science
Diploma Program*
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*Not currently enrolling.
Reach your career goals with a diploma program in data science
Diploma programs provide professional and/or technical skills for career transition in a wide variety of public and private business sectors. These programs are intended for those who have an interest in gaining additional knowledge for career transition or licensure.
| Location | On-Campus | Online |
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Washington, DC |
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Virginia |
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$12,000 | Calculate Your Cost
MSCHE Accredited
Our program follows best-practice standards for business education.
Real-World Practitioners
Learn from experienced business professionals.
Convenient Classes
Take a class online or
on-site -- it's your choice.
Data Science Diploma Program Overview
Adityah Singh
Principal Business Data Analyst
Potomac is more than an education. The university provides better career prospects, valuable employability skills, personal development and a world of opportunity.
This Program Is Accredited By
Data Science Courses & Curriculum
Program Outline
General Admission Requirements
- Complete an admissions interview conducted in person or via online methods.
- Sign and submit an attestation of high school (or equivalent) completion.
- Equivalencies include a GED Certificate. Home schooled students must present a diploma that meets the requirements of the state in which it was issued. (Students with non-US credentials please see International Student Admissions Requirements below).
- Submit a completed application
- Arrange for official transcripts from all colleges/universities previously attended to be submitted to the Office of Records and Registration, University of the Potomac.
- Submit grade reports or scores from any recognized college equivalency examinations (e.g., CLEP, DANTES, and Advanced Placement).
- Submit certificates from any corporate education training or professional development programs. (Note: An ACE evaluation form may be required to determine appropriate credit for corporate educational training.)
- Submit military training documents. (Note: An ACE military evaluation form may be required to determine appropriate credit for military training.)
Students are required to participate in the final group project as an active member of the team. Daily evaluations are done as to their involvement in the final projects.
Additionally, students must complete an individual project on a topic of their choosing. The project may include experimental design and data collection, and will be completed using several of the following techniques to bring the data to life:
- Experimental design and hypothesis testing
- Modeling
- Machine Learning techniques
- Process monitoring
- Visualization
- Student projects must be approved by an instructor or director.
- Student must be a helpful, active participant in the group project
- Student must complete the Resume Building and Interview Preparation exercises
- Student must be current on financial obligations
Diploma Program Requirements & Outcomes
After completing this course, students will be able to:
- Mine datasets for better understanding
- Create metrics, and implement monitoring plans
- Create models for prediction and planning
- Implement Machine Learning algorithms
- Use regression analysis to explain relationships
- Create visualizations
- Test various hypotheses in a designed experiment
- Prepare and deliver findings reports to all audiences.
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