Although the Standard Model is our current best theory for describing the building blocks of the universe, there are still several important questions that it does not answer. Some of these include: How does gravity, dark matter, and dark energy fit into the Standard Model? Why is the universe made up of more matter than anti-matter? More importantly for this work, the Standard Model predicts that neutrinos should be massless particles. However, with the discovery of neutrino oscillations, it was confirmed that neutrinos have non-zero mass. But why does this happen? To be able to answer this question, the ordering of the neutrino masses became a crucial piece of the puzzle as all theories and some experiments (e.g. neutrinoless double beta decay) depend greatly on whether the mass ordering is normal (m3 > m2 > m1) or inverted (m2 > m1 > m3). IceCube is an ice-Cherenkov neutrino detector deployed about 1.5 kilometers below the surface of the South Pole. Using DeepCore, a more densely instrumented volume of ice near the bottom of the detector, this work studies the neutrino mass ordering (NMO) through a measurement of the oscillation patterns of a 9.28-year sample of atmospheric neutrinos using a frequentist statistical analysis. A goal of this work is to deliver a more robust result of the mass ordering preference in comparison to the previous 3-year IceCube DeepCore measurement. Furthermore, this works aims to provide a unique contribution in answering the mass ordering question through DeepCore’s ability to produce a result that is both independent of the δ_CP phase (currently creating a tension in existing NMO results) and generated at neutrino energies greater than those observed by any other experiment. The analysis observes a preference for the normal ordering at 2∆LLH_(NO-IO) = −4.398, leading to a disfavoring of the inverted ordering at a 93.7% exclusion level, or 1.86σ.