average majors per program, but the sets of programs included in these two averages were not necessarily the same. Thus,
we do not make comparisons with the previous years’ approximations. The percentage of new majors among majors varies
across disciplines from a low of 24.1% in IS to a high of 32.1%
in SE. Overall, the percentage is 29.3% and for CS it is 30.0%.
MASTER’S DEGREE PRODUCTION AND
In 2017-2018, 38 distinct academic units reported on a total of
60 master’s programs in computing, up from last year’s 31 units
and 52 programs, respectively. Of the 38, 26 were public and
12 private (Tables M1-M2). They accounted for 32 programs
in computer science, three in computer engineering, seven in
information systems, eleven in information technology, and
seven in software engineering. The small number of participating academic units, students, and programs, especially when
considered on a discipline-specific basis, should be considered
when drawing any conclusions from the data presented here.
Furthermore, the low sample of units that provided master’s degree data to the survey this year and last precludes our drawing
broad conclusions across multiple years.
Table M3 shows actual degree production in 2016-2017 and
anticipated change in that production for 2017-2018 broken
down by discipline. Those institutions responding to this year’s
survey anticipate an overall 38% decrease in the production of
master’s degrees in in 2017-2018 over those granted in 2016-
2017 (Table M3). CS programs anticipate a 62.9% decrease. It
should be noted that this marked change was due almost entirely to a dramatic enrollment change at one unit in particular. If
that unit were to be omitted, the overall anticipated change in
degree production across all responding units would constitute
only a 5.2% decline, with a 2.4% decline for CS programs only.
In comparison, Taulbee respondents reported an anticipated
decline in master’s degree production of 11.7% per unit over
all disciplines combined. Further analysis reveals that roughly half of all NDC master’s programs anticipated at least some
decline in degree production, similar to last year. However, due
to the very small sample size, no conclusions should be drawn.
Across the six year history of the NDC Study, the trend in average number of master’s degrees awarded per program for both
CS and all disciplines combined is demonstrated in Figure M1.
Among the 2016-2017 master’s degree graduates, 31.5%
were female, compared to 29.6% at Taulbee schools. CS, the
discipline with the largest response size, reported 31.3% female
graduates, compared to 26.1% reported by Taulbee CS master’s
programs. Taulbee’s “I” programs reported that 45.7% of their
master’s degrees were awarded to females compared to 35.1%
of IS and IT master’s degrees at NDC programs. Figure M2 illustrates the six-year history of master’s program gender data
reported by NDC.
A comparison of ethnicity data between NDC and Taulbee schools (Table M5) shows that NDC schools had a higher percentage of Hispanic/Latino US resident graduates ( 4.5%
vs. 1.9%), Black/African-American resident graduates ( 6.4% vs.
1.6%), and a smaller percentage of White graduates ( 17.3% vs.
18.8%). The percentage of Asian graduates in NDC was slightly
greater than Taulbee ( 9.1% vs. 7.6%), but the difference was not
as large as the double-digit percentage gap we’ve seen in the
TABLE M1. BREAKDOWN OF ACADEMIC UNI TS RESPONDING TO MASTER’S
SECTION OF SURVEY
Number of Units of Total Responses
Total Units Proving Data 38 100.0%
Public 26 68.4%
Private 12 31.6%
TABLE M2. SUMMARY OF PROGRAM OFFERINGS
Overall Public Private
CS 31 32 53.3% 24 77.4% 8 27.6%
CE 2 3 5.0% 1 3.2% 2 6.9%
IS 5 7 11.7% 1 3.2% 6 20.7%
IT 7 11 18.3% 4 12.9% 7 24.1%
SE 6 7 11.7% 1 3.2% 6 20.7%
Totals3860 31 29