Expedite Your Career Growth by Earning Your Master’s in Data Analytics
Built for working professionals, the online Master of Science (MS) in Data Analytics at the University of Michigan-Flint offers rigorous training and essential real-world learning opportunities to support your continuous personal and professional advancement.
With seven concentrations and an interdisciplinary approach, you receive a well-rounded education that equips you with highly transferable skills and required expertise to shape policies and best practices. Our data analytics program offers in-person and fully online program formats, allowing you to choose a learning experience that suits your needs and accommodates your lifestyle.
No matter your academic experience, you have a place in the MS in Data Analytics program. If you do not have a computer science background but want to enroll in the master’s program, you can take non-credit certificates in Algorithms, Programming, and Data Structures to get up to speed.
Whether you aspire to pursue a new career in the booming data analytics field or want to upskill your knowledge and gain a competitive edge, the MS in Data Analytics program within UM-Flint’s College of Innovation & Technology can help you achieve your goals!
Current UM-Flint students may wish to consider enrolling on our Joint BS/MS in Data Analytics. The joint program curriculum allows students to simultaneously earn undergraduate and graduate credits, which count for bachelor’s and master’s degrees.
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Why UM-Flint’s Data Analytics Program?
Pursue Your Master’s Degree in a Flexible Format
Designed for professionals, our data analytics program offers a fully online option and an in-person format. The 100% online format allows you to earn your master’s degree in high-tech cyber classrooms. Or, if you prefer to take classes in person, you can study on UM-Flint’s campus and learn in traditional classrooms.
If you pursue full-time study, you can earn your MS in Data Analytics in two years. Or, if part-time enrollment suits your schedule, you can graduate in 32-36 months. Whatever pace you choose, our data analytics program provides flexibility to continue your education while maintaining your work-life balance.
Fast-Track Course Options for Students without CS Background
UM-Flint strives to make our data analytics program more accessible for prospective students unfamiliar with computer science. That’s why we offer fast-track options to get students who do not have a technical background up to speed and on track to graduate.
Customizable Data Analytics Program with Seven Concentration Options
Because many industries rely on data analytics and its related competencies, our master’s program empowers you to hone your skills and define your area of expertise by offering seven comprehensive applied concentrations:
- Accounting
- Financial Management
- General Business
- Geospatial Analytics
- Health Care Management
- Marketing
- Supply Chain and Operations Management
Grow as a Real-World Problem Solver
Because our degree prioritizes the practical application of theoretical knowledge, you have plenty of opportunities to put your skills into practice and encounter real-world problems that you can expect to face while working in the field.
Depending on your concentration, you can study the application of strategic management in health care systems or applied business analytics or immerse yourself in financial statements or geographic information analysis. Through these learning experiences, you examine current industry trends and problems and build the competencies needed to construct practical and innovative solutions.
Participate in Innovative Research Opportunities
During your time in the data analytics program, you can partner with UM-Flint’s esteemed faculty and engage in exciting, groundbreaking research projects. As you support faculty along these scholarly pursuits, you forge essential professional relationships, build your skills, and drive innovation in the industry.
Master’s in Data Analytics Curriculum
UM-Flint’s online MS in Data Analytics program offers a robust curriculum designed to elevate your technical skills and specialize your expertise, supporting your growth as a leader in the technology industry.
Our curriculum takes an interdisciplinary approach to ensure you receive comprehensive training that helps you develop a versatile and transferable skill set. In your core classes, you dive into an advanced study of data warehousing, security, business intelligence, information storage and retrieval, and data mining. These courses allow you to explore how classroom knowledge applies to real-world problems, furthering your abilities to work with large data sets and support businesses and organizations in their decision-making and policy creation.
In addition to core courses, you select an applied concentration in accounting, financial management, general business, geospatial analytics, health care management, marketing management, and supply chain and operations management. These courses build upon your core courses and take a highly specialized approach, ensuring you have a firm grasp of both theoretical and practical knowledge to prepare you to work in the data analytics industry.
Review UM-Flint’s data analytics curriculum.
Academic Advising
Need guidance as you work toward your master’s in data analytics degree? UM-Flint’s expert academic advisors are ready to help! Committed to your success, our advisors can assist you with class selection, degree plan development, and much more.
Contact Aubree Kraut, [email protected].
Career Outlook
The technological world lives and depends on data and data scientists. While sophisticated data analytics knowledge offers individuals a deeper understanding of the field and an elevated skill set, it is becoming the industry standard. To remain competitive locally and globally, data scientists must obtain expertise in crucial areas like data mining, investigation, analysis, management, and forecasting.
Because of this expanding reliance on data, the demand for competent data scientists continues to increase. The Bureau of Labor Statistics projects the employment of data scientists to grow by 36% over the next decade, which is seven times faster than the national average for all occupations.
Additionally, by earning a master’s degree, individuals qualify for advanced data scientist positions and increase their earning potential. On average, a data scientist’s median annual salary is $103,500, more than double the median annual wage of all occupations.
With this positive career outlook, the graduates of our online Data Analytics program can kick-start their careers in many industries, such as consulting, financial services, health care, and technology.
Admission Requirements (GRE Not Required)
UM-Flint’s online Master of Science in Data Analytics seeks applicants who meet the following requirements:
- Bachelor of Science from an accredited institution. Preference will be given to students with a background in a Science, Technology, Engineering, or Mathematics (STEM) field. Applicants who lack eligibility requirements in coursework (Algorithms, Programming, and Data Structure) will be required to complete courses from the prerequisite list by taking the online non-credit certificates option or the Fast-Track option.
- Minimum undergraduate GPA of 3.0 on a 4-point scale.
- Applicants who do not meet the minimum GPA requirements may be offered admission. Admission in such cases depends heavily on other indices of the student’s ability to handle graduate-level work. These might include strong performance on GPA in the major and/or other experiences that are clearly indicative of strong academic ability.
Applicants with a three-year bachelor’s degree from an institution outside of the U.S. are eligible for admission at the University of Michigan-Flint if the course-by-course credential evaluation from the World Education Services (WES) report clearly states the three-year degree completed is equivalent to a U.S. bachelor’s degree.
Preparatory Fast-Track Options for Non-CS Students
Students with undergraduate degrees in non-computing fields may need to demonstrate proficiency with algorithms, object-oriented programming, and data structures to qualify for admission to a computing-related MS program. The following two options are in place to qualify for admission to UM-Flint graduate programs in CIT:
- Non-credit certificates in Algorithms, Programming, and Data Structures
CIT offers non-credit certificates in three areas of preparation: Algorithms, Programming, and Data Structures. Students must pass the certificate tests with 85% or better and provide proof of successful completion to the Graduate Programs Manager in CIT at [email protected]. These certificates are not for academic credit, are guided self-study of the topics, take approximately four weeks per certificate, and can be taken simultaneously.
- Fast Track
For students seeking a more traditional, slower-paced instruction, CIT also offers an accelerated “Fast Track” program consisting of five undergraduate courses. The Fast Track program assists students from any background to prepare themselves for success in CIT graduate programs. Students must earn a grade of C (2.0) or better in each Fast Track course and must maintain a B (3.0) or better cumulative grade point average in all Fast Track courses.
Data Analytics students must show proficiency in CSC 175 (certificate and/or Fast Track course.)
State Authorization for Online Students
In recent years, the federal government has emphasized the need for universities and colleges to comply with the distance education laws of each state. Out-of-state students intending to enroll in this program should visit the State Authorization page to verify the status of UM-Flint with their state.
Applying to the Data Analytics Program
At UM-Flint, we make the application process straightforward. To apply to our master’s in data analytics 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.
This program can be completed 100% online or on-campus with in-person courses. Students living abroad may also complete this program online in their home country. For other nonimmigrant visa holders currently in the United States, please contact the Center for Global Engagement at [email protected].
As a new academic degree, this program is not currently accepting applications from international students seeking an F-1 visa. This program will accept applications from international students who are required to have an I-20 as soon as authorization from the Department of Homeland Security is received.
Application Deadlines
Prospective students interested in the data analytics 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 during the fall, winter, and summer semesters. 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)
*You must have a complete application by the early May 1 deadline to guarantee application eligibility for scholarships, grants, and research assistantships.
As a new academic degree, this program is not currently accepting applications from international students seeking an F-1 visa. This program will accept applications from international students who are required to have an I-20 as soon as authorization from the Department of Homeland Security is received.
Estimated Tuition and Cost
No matter what your academic or career goals may be, UM-Flint works hard to make graduate education affordable. As a UM student, you receive competitive tuition rates and helpful financial aid resources that can help you afford your data analytics master’s degree.
Learn more about UM-Flint’s tuition and financial aid.
Create New Possibilities with Your MS in Data Analytics from UM-Flint
With your Master of Science (MS) in Data Analytics from the University of Michigan-Flint, you immerse yourself in an ambitious graduate program where you hone your technical competencies, embrace new career opportunities, and transform your future.
Eager to take the next step toward beginning your graduate education? Request information, or start your UM-Flint application today!
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