COURSES MATHEMATICAL SCIENCES THE OPEN UNIVERSITY

Data Analysis

DipHE · The Open University

Data Analysis

The Open University

AI IMPACT

MEDIAN PAY, 15 MOnot published

SATISFACTION89%

CONTINUATION75%

PROFESSIONAL JOBS70%

DESTINATION-WEIGHTEDAI is already used for about 43% of the work its graduates go into (High).

CONTINUATION ALERT

25% of this course's students did not continue past year one. Worth asking the university about directly.

Entry tariff of real entrants

UCAS points the actual intake arrived with: "people like this got in", not a cut-off.

<480% of entrants

48-630% of entrants

64-790% of entrants

80-950% of entrants

96-1110% of entrants

112-1270% of entrants

128-1430% of entrants

144-1590% of entrants

160-1750% of entrants

176-1910% of entrants

192-2070% of entrants

208-2230% of entrants

224-2390% of entrants

240+0% of entrants

Student satisfaction

Overall satisfaction is 89% (National Student Survey). Continuation past year one: 75%.

What you actually study

YEAR 1

Foundations of the Discipline · Research & Analytical Methods · Quantitative Literacy · Communication & Academic Writing

YEAR 2

Intermediate Theory · Applied Practice · Specialist Elective I

YEAR 3

Advanced Topics · Specialist Elective II · Dissertation Preparation

YEAR 4

Final-Year Dissertation · Capstone Seminar

MORE ON THIS COURSEClassic profile (reviews, comparisons, open days, campus video) · this course as data. Measured August 2026; pay, satisfaction and continuation figures are the course's own published data (HESA GO / LEO / NSS).