MPS in Data Science - STEM, University of Maryland Baltimore County

Baltimore, Maryland

24 Months

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About this course

UMBC’s M.P.S. in Data Science is designed for students from diverse backgrounds who want to build a career in data science. The program covers foundational skills through core courses that focus on machine learning, data analysis, and data management. Students will also learn about the ethical and legal aspects of data science, preparing them for responsible practice. Additional domain-specific pathways allow students to apply their skills within particular fields, collaborating with various departments across campus. The program emphasizes real-world applications, technical expertise, and understanding the broader implications of data-driven work.

Why this course is highly recommended

This program is highly recommended because it combines core data science skills with domain-specific knowledge, enabling students to tailor their expertise to their career interests. The curriculum includes practical, hands-on courses that cover current technologies and techniques, as well as ethical and legal considerations. The availability of specialized pathways and partnerships with industry and academic institutions provides students with direct relevance to real-world applications, enhancing their employability and leadership capabilities in the fast-growing field of data science.

Specialisation

The program offers several specialized pathways, including Advanced Computing and Analytics, Clinical Informatics, Cybersecurity, Data Science Analysis, Economics/Econometrics, Healthcare Analytics, Management Sciences, Policy Analysis, Project Management, and more. Students can choose these pathways based on their interests and career goals. Some pathways involve courses from partner departments and institutions, tailoring the program to specific industries and domains like health, cybersecurity, spatial analytics, and aging services.

Course fees

Application fees

20.24L

1st year tuition fees

20.24L

Living cost

Degree requirements

Students must complete core courses, including Introduction to Data Science, Data Analysis and Machine Learning, Platforms for Big Data Processing, Data Management, Ethical and Legal Issues, and a Capstone project. They are also required to take courses within their chosen pathway, each typically consisting of three courses. Additional prerequisites may include permission from instructors or the program director, depending on prior experience.

English language test

IELTS

6.5

TOEFL

PTE

DUOLINGO

115

Career prospects

Graduates of this program can pursue roles in data analysis, machine learning, big data processing, health informatics, cybersecurity, and domain-specific areas such as healthcare, finance, and government. The program prepares students to take on leadership roles as well, with courses like Leadership in Data Science designed to develop managerial skills necessary for career advancement.

FAQs

Are there online options available?

Yes, courses for Clinical Informatics pathways are offered online and asynchronously. Other pathways may have a mix of in-person and online courses depending on the campus.

Can students transfer courses from other programs?

Yes, coursework from the Clinical Informatics program at UMB and the Foundation for Advanced Education in Science at NIH can be transferred as part of specific pathways within the program.