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STS515 Jeremiah D. D. et al.
crucial to train them on how to deal with large-scale problem solving utilizing
distributed storage and cloud computing; and others may find both of them
crucial, or irrelevant! The diversity in the understanding of DS and in industrial
Table 2. Profiling DS programmes’ technical strength on four dimensions:
Mathematics, Statistics, Programming, and Computing. The total weight is
shown on the last column.
Institutions Mathematics Statistics Programming Computing Total Weight
Columbia 3 3 2 1 9
Michigan 3 2 2 1 7
Rochester 3 2 2 0 7
Kansas 2 2 3 0 7
State
Maryville 3 3 3 1 10
ChineseU 3 2 3 3 11
Auckland 2 3 2 1 8
Canterbury 2 2 2 3 9
Figure 1. Kiviat diagrams of various DS programmes.
4. Mapping inside-out
To justify DS as an interdisciplinary but standalone discipline, there has to
be some common understadning on the core requisites and essential
components within a DS programme. In this section we will try to map out the
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