Grad student standing holding a laptop pointing with another student

Tomorrow Needs You. Are You Ready?

Receive a graduate education from an accredited institution.

Data Science—MS

Our multidisciplinary master's in data science program couples computer science, business, engineering, and mathematical sciences to create logical and innovative solutions for data analytics producers. Less than five percent of available data is currently mined effectively, our data science program positions graduates to manage big data and enter the job market in high demand. Are you ready?

Accelerated Master's Program is available for current Michigan Tech students.

Master's Program Overview

Data Science is a flexible program allowing you to explore and develop your own interests in a rapidly expanding field. Data scientists occupy a unique niche in a variety of industries, from retail to finance to healthcare. At Michigan Tech, you can research sensors, develop pattern recognition algorithms, engineer intelligent machines, interpret medical data to determine risk, make predictions using data to improve the power grid, and more. The important of providing data analytics and managing big data is growing daily.

Delivery Options
- Accelerated: MS
- On-Campus: MS

Data Science Program Details

Choose a specific degree option or delivery type to learn more about the data science program at Michigan Tech. For international students, Data Science is a designated STEM program.

On-Campus Programs

MS, Data Science: Coursework Option

This option requires a minimum of 30 credits be earned through coursework. A limited number of research credits may be used with the approval of the advisor, department, and Graduate School. See degree requirements for more information.

A graduate program may require an oral or written examination before conferring the degree and may require more than the minimum credits listed here:

Distribution of Coursework Credit
Distribution	Credits
5000-6000 series (minimum)	18 Credits
3000-4000 (maximum)	12 Credits

Accelerated MS, Data Science

Bachelor's + 1 Year = Master's Degree

Our accelerated master's degree program is a faster, easier way for Michigan Tech students to earn a master's degree. Up to nine approved credits from your bachelor's degree can be applied towards your accelerated master's degree. Consult your graduate program director for your individualized plan. If you're thinking about pursuing a master's following your bachelor's this option may be the right choice for you.

Additional Accelerated Master's Program Details

Additional Program Information

Want to learn more about data science at Michigan Tech? Visit the department for more information:

Contact

Graduate Director

Laura Brown

Sample Areas of Interest

Select areas of interest to help customize your data science MS. Sample areas include:

Bioinformatics
Sensor Networks
Statistics
Biogeochemistry

View full listing for this program

Application Process and Admissions Requirements

Applications are reviewed on an individual basis using a holistic approach. Fill out our free graduate application online to apply to any of our programs. Official transcripts and scores are not required for the initial application, although you will need to upload them later.

Graduate School Admissions Process

Applying to Graduate School is free (no application fees) and fast (no official transcripts or test scores are needed to start). The application process involves three easy steps. International applicants are required to pay a non-refundable $10 processing fee per application.

See Admissions Steps

Graduate School Admissions Options

Michigan Tech offers several admissions options in order to meet the educational needs of students from a variety of backgrounds. Students should review the options available to them and apply for the program that will best help them achieve their personal educational goals.

See Admissions Options

Graduate School Requirements

To be considered for admission to the Graduate School as a degree- or certificate-seeking student, you need to:

have a bachelor's degree or its equivalent from an accredited institution, and
be prepared for advanced study in your chosen field, as demonstrated by your previous degree and your scholastic record.

See additional application requirements, including required materials:

Student Statements

Official Transcripts

Program Specific Requirements

Program Specific

Any bachelor's degree which includes some coursework in introductory programming and statistics
2 Letters of Recommendation
Résumé / Curriculum vitae
Admitted applicants typically have an undergraduate GPA of 3.0 or better on a 4.0 scale
GRE not required
No Additional Documents Accepted

International Students

TOEFL: Recommended Score of at least 100 iBT
IELTS: Recommended Overall Band Score of at least 7.0

Michigan Tech requires a minimum 79 overall TOEFL or 6.5 overall IELTS score.

Admissions Decisions

Made on a rolling basis.

Recommended Deadline

Apply at least a semester in advance of projected admission

Fall Semester: Recommended to apply by January 15
Spring Semester: Recommended to apply by October 15

International Student Requirements

International Students must apply and be accepted into a degree-granting program in order to earn a graduate certificate. A non-refundable $10 processing fee per application is required.

See International Applicants

Accelerated Master's Requirements

Our Accelerated Master's Program is available for current Michigan Tech students.

Program Specific

2 Letters of Recommendation
GPA of 3.0 or greater
No GRE required
Résumé/ Curriculum vitae

Eligible Undergraduate Majors

Computer Science
Cybersecurity
Software Engineering
Computer Engineering
Bioinformatics
Cheminformatics
Mathematics and Computer Science
Mathematics - Applied and Computational
Mathematics - Business Analytics
Other related majors with computational and statistics background upon approval

Accredited by HLC

Michigan Tech has been accredited by the Higher Learning Commission (HLC) since 1928. Our Graduate School offers over 125 certificates, master's, and PhD programs to provide our students and the world with what tomorrow needs.

Who You'll Work With

Work with interdisciplinary faculty to develop your career path. The program is designed for people with diverse backgrounds but allows for specialization. Whether researching machine learning, designing algorithms for forestry, or conducting computational social science, a Data Science degree is an investment in the future.

Where You'll Work

Faculty Spotlight

Laura Brown

Laura Brown
Associate Professor,
Computer Science

"It’s 80 percent and 20 percent."

Big Data is a big deal, and data mining depends on the skills of computer scientists. While 80 percent of our time is juggling this data, it’s what we learn in that other 20 percent that makes all the difference. Brown and her colleagues work with the 80 to push what’s possible in that 20.

Program Faculty