MS Data Science vs Data Analytics: Kansas Salary & Jobs Guide Released

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Newman University releases guide comparing MS in Data Science and Data Analytics degrees in Kansas, showing data scientists earn approximately $105,000 annually versus $75,000 for analysts, while highlighting Newman's MS in Data Science program.

-- Newman University has published a guide comparing Master of Science degrees in data science and data analytics, revealing a significant salary gap between the two career paths in Kansas. According to salary data compiled for the guide, data scientists in Kansas earn an average of approximately $105,000 annually, with typical ranges between $90,000 and $120,000, while data analysts earn around $75,000 per year, generally falling between $60,000 and $90,000. The guide frames this $30,000 difference as important intelligence for prospective graduate students, emphasizing that career trajectory and earning potential hinge on selecting the degree aligned with their technical interests and professional goals.

More information is available at https://newmanu.edu/academics/data-science-ms

The guide addresses what Newman calls the "Kansas wrinkle": a review of graduate programs across the state found that while universities offer multiple analytics and business analytics master's degrees, fewer explicitly teach the programming, modeling, and machine learning foundations that define authentic data science training. Many Kansas graduate programs lean heavily toward analytics, which emphasizes interpreting data and driving business decisions with lighter programming requirements. Prospective students must read curricula carefully rather than relying on program names alone, since some degrees labeled "data science" are analytics programs under a new title.

Newman University's MS in Data Science was designed to fill the gap identified in the guide by offering a data-science-focused curriculum rather than rebranded analytics. The program centers on Python programming, data warehousing and engineering, and a sequence of machine learning courses, with threaded emphases on data governance, statistics for data science, and ethics. Developed in consultation with industry professionals to align with current tools and employer needs, the degree connects to the Newman Institute for AI and the Common Good, tying coursework to applied artificial intelligence work and ethical considerations in technology.

Accessibility features lower traditional barriers to entry for career-changers and international students. The program requires no GRE, offers both in-person and online modalities with weekly meetings and extensive video tutorials, and supports F-1 visa holders through its on-campus structure. Newman University is accredited by the Higher Learning Commission, and over 97 percent of students receive financial aid; tuition is listed at approximately $687 per credit for the roughly 30-credit degree.

The guide positions Newman as an advisor within Kansas graduate education. Published as a Newman University resource, the document compares Newman's program to other state options transparently, educating prospective students rather than solely recruiting them. This approach reflects the university's commitment to helping students make informed decisions by clarifying role distinctions, salary expectations, and program fit across the state's graduate landscape.

The guide and Newman's MS in Data Science program are designed specifically for prospective graduate students in Kansas who are weighing a master's degree in data science against one in data analytics. By differentiating the technical, model-building focus of data science from the business-interpretation emphasis of analytics, the guide helps students choose the path that matches their career ambitions and comfort with programming and mathematics.

For more details, visit https://newmanu.edu/

Contact Info:
Name: Clark Schafer
Email: Send Email
Organization: Newman University
Address: 3100 McCormick , Wichita, Kansas 67213, United States
Website: https://newmanu.edu/

Source: PressCable

Release ID: 89199054

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