Master’s in Data Science Program Curriculum

Our online MS in Data Science degree provides a highly concentrated set of classes designed to challenge you and fine-tune your Java, Python, SQL, and R programming skills. 

The curriculum delivers core courses in technical training in information storage and retrieval, data mining, artificial intelligence, data visualization, machine learning, databases, and more. 

With our four concentrations, you can diversify your expertise by choosing a specialization in Computational, Mathematical, Theoretical, or Machine Learning. This empowers you to dive deeper into advanced topics, analysis, and applications, furthering your growth as an expert in your area of interest. 

Upon completion of the core and elective requirements, you have the option to choose between the thesis option or the non-thesis option. If you opt to write a master’s thesis, you partner with a faculty advisor and perform directed research, document preparation, and undergo an oral defense. Selecting the non-thesis option allows you to take an additional eight credits in graduate courses. 

To learn more about the curriculum, review the detailed data science course plan.

Applying to the MS in Data Science

At UM-Flint, we make the application process straightforward. Our program utilizes a rolling admissions process, which means you can apply at any time and receive your admissions decision within two to four weeks.

 To apply to our master’s in data science program, please submit the following materials:

• Application for Graduate Admission.
• $55 application fee (non-refundable).
• Official transcripts from all colleges and universities attended. Please read our full transcript policy for more information.
• For any degree completed at a non-US institution, transcripts must be submitted for an internal credential review. Read the following for instructions on how to submit your transcripts for review.
• If English is not your native language, and you are not from an exempt country, you must demonstrate English proficiency.
• Statement of Purpose: Describe your objectives for graduate study and reasons for selecting this program. You may submit statements online during the application process or email them to [email protected]. 
• A minimum of two letters of recommendation. Recommendations should be from individuals familiar with your work in academic or professional contexts who can comment on your critical thinking skills, ability to undertake independent projects, and capacity for collaborating with colleagues. We send electronic recommendation requests as a part of the online application process.
• Students from abroad must submit additional documentation.

Email additional application materials to [email protected] or deliver them to the Office of Graduate Programs. 

Admitted students cannot obtain a student (F-1) visa to pursue this degree. For other non-immigrant visa holders currently in the United States, please contact the Center for Global Engagement at [email protected].

---

Application Deadlines

Prospective students interested in the data science graduate program must submit all application materials to the Office of Graduate Programs by 5 p.m. on the day of the application deadline. This program offers rolling admission with monthly application reviews. To be considered for admission, please submit all application materials on or before:

• Fall – May 1 (guaranteed consideration*)
• Fall – August 1 (if space permits, US citizens and permanent residents only)
• Winter – October 1 (guaranteed consideration)
• Winter – December 1 (US citizens and permanent residents only) 
• Summer  – April 1 (US citizens and permanent residents only)

*Applicants must have a complete application by the early deadline to guarantee eligibility for scholarships, grants, and research assistantships.