Master of Science - Data Analytics (I20071)

MSc Data Analytics (I20071) teaches the working pipeline of modern analytics: statistics and exploratory analysis, data management and SQL, machine learning fundamentals, data visualisation, and big-data tools, wrapped in a professional strand on ethics and communication of results. The 12–16 month structure recorded in the source includes an optional extended stage, and September and January intakes both operate.

Lab work carries the course: Python and R for analysis, relational databases for storage, and visualisation platforms for the dashboard assignments that double as portfolio pieces. Assessment briefs use genuinely messy datasets — missing values, inconsistent coding, real-world scale — because cleaning and framing, not model choice, is where analysts spend their time, and the final project takes one business or research question through the full cycle to a defended recommendation.

One structural nuance from the source: the 12-to-16-month duration wording covers an optional extended project window rather than extra taught semesters, so students choosing the longer route pay in time and living costs, not additional tuition blocks — worth modelling explicitly for families budgeting the year. The course code I20071 also appears on DMU’s own pages, simplifying verification.

The honest market note is that analytics remains one of the better bets in this faculty but no longer an automatic one: entry roles pay £26,000–£31,000, the NHS and Midlands manufacturers hire continuously, yet applicant volumes have surged, and demonstrable tool fluency separates hired from filtered. Post-study, this taught master’s carries the Graduate Route — two years for applications made on or before 31 December 2026, 18 months from 1 January 2027 — with dependants excluded on taught study routes.