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Master of Professional Studies in Data Science and Analytics

Engage in cutting-edge learning with the Master of Professional Studies in Data Science and Analytics.

The MPS in Data Science and Analytics provides an education in the theory and practice of data science including mathematical and statistical foundations, computational approaches, and communication considerations. In addition, the program covers data science-relevant probability and statistics, algorithms, big data systems, machine learning, data mining, and analysis of networks. Students who successfully complete the MPS in Data Science and Analytics are able to design, conduct, interpret and communicate data analysis tasks and studies using methods and tools of statistics, machine learning, computer science, and communications. The program is offered through the Science Academy in the College of Computer, Mathematical, and Natural Sciences.

The MPS in Data Science and Analytics is a 30-credit graduate program designed for working professionals and can be completed in less than two years. Instruction is provided by UMD faculty and experts in the field. The program features instructional delivery through face-to-face instruction at the UMD College Park campus and at least one online course.

Intakes

Application Processing Time in Days: 20

Minimum English Language Requirements

English Level Description	IELTS (1.0 -9.0)	TOEFL IBT (0-120)	TOEFL CBT (0-300)	PTE (10-90)
Expert	9	120	297-300	86-90
Very Good	8.5	115-119	280-293	83-86
Very Good	8	110-114	270-280	79-83
Good	7.5	102-109	253-267	73-79
Good	7	94-101	240-253	65-73
Competent	6.5	79-93	213-233	58-65
Competent	6	60-78	170-210	50-58
Modest	5.5	46-59	133-210	43-50
Modest	5	35-45	107-133	36-43
Limited	4	32-34	97-103	30-36
Extremely Limited	< 4	< 31	< 93	< 30

PSW Opportunity

2 Years

Admission Requirement / Eligibility Criteria

Any student applying for admission to a graduate program at the University of Maryland must meet the following minimum admission criteria as established by the Graduate School.

Earned a four-year baccalaureate degree from a regionally accredited U.S. institution, or an equivalent degree from a non-U.S. institution.
Earned a 3.0 GPA (on a 4.0 scale) in all prior undergraduate and graduate coursework.
Provide an official copy of a transcript for all of their post-secondary work.

General Requirements:

Statement of Purpose
Transcript(s)
TOEFL/IELTS/PTE (international graduate students)

Program-Specific Requirements:

Graduate Record Examination (GRE) (optional)
CV/Resume
Description of research/work experience
Prior coursework establishing quantitative ability (i.e. calculus, linear algebra, basic statistics, etc.)
Proficiency in programming languages, demonstrated either through prior programming coursework or substantial software development experience