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MSc Data Science and Applied Artificial Intelligence at University of Huddersfield Vibedu CounsellingBook Free Counselling
Safe / Budget · Master's

MSc Data Science and Applied Artificial Intelligence

University of Huddersfield · Huddersfield, UK

Duration

12 mo

Tuition

GBP18,700/yr

verified

Intake

September

English

IELTS 6.0

September intake. Most universities admit on a rolling basis — we confirm the exact application deadline for your profile, free.

Course details verified 20 Aug 2026 — intakes, entry requirements and course facts · official source

Fee verified Checked against the university's own fees page. See the university fees page.

About this programme

A conversion course for students without a computer science background, covering data visualisation, machine learning, predictive analytics and big data systems, ending in an independent project. The curriculum supports progression toward SAS certification. Entry typically requires a BSc, BEng or BA honours degree at 2:2 or above in any subject, or an equivalent professional qualification. Teaching is face-to-face at the Queensgate campus in Huddersfield. What the fee covers: the international full-time rate, per year. Fee year: 2026-27. English requirement as published: IELTS 6.0 overall with no element lower than 5.5. Before you budget: the page prints International '£18,700 per year' against Home '£8,225 per year'. Note that the Home rate here is lower than on Huddersfield's MSc Computer Science while the international rate is identical, and the page adds that fees may rise with inflation in subsequent years. Start dates are 21 September 2026 and 11 January 2027. The course is open to any discipline at 2:2 with no prerequisite technical knowledge, which makes it a genuine conversion route at IELTS 6.0 — one of the lowest English bars among the UK courses listed here. A distance-learning version exists; a student visa requires the on-campus route.

Intakes & deadlines

Autumn

Dates confirmed for your profile · Open

Spring

Dates confirmed for your profile · Open

Entry requirements

  • English

    IELTS 6.0

  • Prerequisites

    Entry typically requires a BSc, BEng or BA honours degree at 2:2 or above in any subject, or an equivalent professional qualification.

  • Documents

    SOP, LOR & Resume — generate them free in 2 minutes.

Typical graduate salary — Data Science & Analytics, UK
GBP30,000/yr (median) · ≈ ₹38.8 L/yr

This is an indicative early-career range for the whole Data Science & Analytics field in UK, from official graduate-outcome data — not a figure for this programme or university, and not a guarantee of what you will earn. What you actually earn depends on the role, employer, city and your visa.

Source: IT Jobs Watch (job-board/market source — less official), market data to Aug 2026. Market job-board data — less official than a government survey; treat as indicative.

Rupee figure converted at the 18 Aug 2026 mid-market rate; your bank's rate will be worse and currencies move, so use it for planning, not as the amount you will receive.

Fees & scholarships

GBP18,700/yr tuition (verified). We confirm the exact costs and the scholarships you qualify for at University of Huddersfield — free, for your profile.

Other programmes at University of Huddersfield

Campus photos on this page: University Of Huddersfield (CC BY-SA 3.0) — via Wikimedia Commons.

MSc Data Science and Applied Artificial Intelligence — FAQs

5 questions

Tuition is GBP18,700/yr. Checked against the university's own fees page. We confirm the current fee and the scholarships you qualify for — free.

The main intake is September. Most universities admit on a rolling basis — we confirm the exact deadline for your profile, free.

Entry typically requires a BSc, BEng or BA honours degree at 2:2 or above in any subject, or an equivalent professional qualification. English: IELTS 6.0.

The programme runs about 12 months full-time.

Yes — shortlisting, SOP, LOR, Resume, application, scholarships and visa guidance are all free. We're paid by partner universities, not by you.

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