What Is Data Science According to MastersinDataScience.org?

MastersinDataScience.org frames data science as work that spans the entire data life cycle — from planning and gathering data to analyzing and presenting findings. That definition matters if you are comparing graduate programs, because it tells you what a degree should train you to do: not just build models, but manage data end to end and communicate results. The site presents this framing alongside sponsored online master's programs, including UC Berkeley's Master of Information and Data Science and UNC-Chapel Hill's Master of Applied Data Science.

The data life cycle as the organizing idea

The site's guide to data science graduate programs describes the field through a sequence of stages rather than a single skill:

• Planning and gathering data — deciding what data is needed and how to collect it
• Analyzing data — applying statistical and computational methods
• Presenting findings — communicating results to decision-makers

This is the same framing UC Berkeley's MIDS program uses in its own description on the page, which notes a "multidisciplinary approach to the data life cycle, from planning and gathering data to analyzing and presenting findings." In other words, the site treats the life cycle as the common thread across programs, not a single course topic.

Technical areas the site associates with data science

Alongside the life cycle, the page names specific domains that coursework is expected to cover:

UNC's program description adds "technical expertise in advanced programming and machine learning" and a "comprehensive understanding of the data life cycle."

Why this definition is useful when choosing a program

If you accept the life-cycle framing, you can evaluate programs against it directly. A program that only teaches modeling but skips data collection, storage, or presentation is covering part of the field as this site defines it. The Berkeley and UNC descriptions both claim coverage across multiple stages, which is the claim worth testing against a syllabus.

Two concrete details from the sponsored listings are also worth noting because they affect fit:

• UC Berkeley MIDS: completable in as few as 12 months; no GRE required; live online class sessions taught by I School faculty and data science professionals.
• UNC-Chapel Hill Master of Applied Data Science: completable in as few as 16 months full time; no GRE required.

What the site is, and what that means for how you read it

MastersinDataScience.org is owned by 2U, LLC, the parent company of edX. The page states that some programs shown are offered by universities partnering with 2U, for which 2U provides marketing and operational support and receives compensation, and that other programs may be paid advertisements from third parties. Both types are labeled "AD" or "Advertisement."

That disclosure is the main thing to keep in mind: the definitions and program descriptions are useful as a starting framework, but the program listings are commercial placements. Use the life-cycle definition to build your own comparison criteria, then verify curriculum, cost, and format directly with each university rather than relying on the listing alone.