MSc Internet of Things with Data Science

Course overview

MSc Internet of Things with Data Science at the University of Salford develops advanced skills in IoT, data science, machine learning, data mining, computer vision, system design, security and data-driven IoT applications. Students work on practical projects using technologies such as Python, Azure Machine Learning and IoT sensors, and complete a research-based MSc project. It is a one-year full-time programme at Peel Park campus, with a January 2027 intake.

Course details

Degree level

Master's

Subject

Computing

Duration

1 year

Intake

January 2027

Tuition fee

£19,980 / yearUniversity fee information (opens in a new tab)

Initial deposit

5500 GBP

City

Salford

Country

England

Campus

Peel Park

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

English Language Requirements

Main English Requirements

Alternative English Requirements

Only the tests listed here are shown as accepted for this course.

Entry requirements

For applicants from Pakistan

• University of Salford Pakistan requirements: four-year Bachelor's degree with GPA 2.5/4.0 or 55%; or three-year Bachelor's degree (with honours) with GPA 3.0/4.0 or 75%; or two-year Bachelor's degree plus two-year Master's degree with GPA 2.7/4.0 or 60%. Individual programme requirements may differ.

Scholarships & discounts

Global Gold Excellence Scholarship: £3,000 for eligible postgraduate applicants on eligible full-time Master's programmes; first-class degree and offer conditions apply.

Pre-CAS interview

Required

Yes — a Pre-CAS / credibility interview is part of the process

Stage

After the initial deposit is paid

Format

Live interview

Deposit

£5,500

Course modules

• Machine Learning and Data Mining, Principles and Design of IoT Systems, Applied Computer Vision, MSc Project, plus one optional module: Advanced Databases or Big Data Tools and Techniques (AI).