Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Scientific Computing, High-Performance Computing and Data Science in
  Higher Education   We present an overview of current academic curricula for Scientific
Computing, High-Performance Computing and Data Science. After a survey of
current academic and non-academic programs across the globe, we focus on
Canadian programs and specifically on the education program of the SciNet HPC
Consortium, using its detailed enrollment and course statistics for the past
four to five years. Not only do these data display a steady and rapid increase
in the demand for research-computing instruction, they also show a clear shift
from traditional (high performance) computing to data-oriented methods. It is
argued that this growing demand warrants specialized research computing
degrees. The possible curricula of such degrees are described next, taking
existing programs as an example, and adding SciNet's experiences of student
desires as well as trends in advanced research computing.

21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
27
The categories of this paper are: comp-gas
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg