Internet of things with data science

University of Salford

United Kingdom, Salford

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945

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Home/United Kingdom/Salford /University of Salford/Internet of things with data science

University of Salford

United Kingdom , Salford

Key Facts

Program Level

Master by Course Work

Study Type

Full Time

Delivery

On Campus

Campuses

Main Site

Program Language

English

Start & Deadlines

Next Intake DeadlinesJanuary-2026

Apply to this program

Go to the official application for the university

Duration 1 year(s)

Tuition Fee

GBP 19,980 / years

Next Intake January-2026

Internet of things with data science

About

Introduction

In a nutshell

This course has now closed for new international applications for January 2025.

Make discoveries in data and explore the value Internet of Things (IoT) can bring to businesses and organisations. With our Internet of Things with Data Science postgraduate degree, you can enhance your existing computer science knowledge, or gain new skills that can help you secure a role in a fastest-growing employment field in the digital economy.

Available with full and part-time study routes, the course provides you with specialist IoT and data science knowledge to apply in a wide range of sectors, including healthcare, commerce, professional services and the built environment. Start dates are available each January and September.

You could get up to £10,000 towards your tuition fees

Find out more about the Computing scholarships we offer

International applicant? Please check international intakes for the latest information and application dates.

Start your MSc Internet of Things with Data Science study journey

Register for our next Open Day where you can learn more about the course, tour our impressive new computing suites and meet the tutors

You will:

Explore the full data mining lifecycle, from data pre-processing and exploratory data analysis to the application
Develop an advanced understanding, and context of IoT, the skills, challenges, System Design and methodologies
Learn about security vulnerabilities and challenges, including attack surfaces (networking, social engineering) and modern issues (IoT, Cloud).
Complete high-level academic and practical work developing, evaluating and critically assessing a robust, scalable and usable IoT solution

International

students accepted

This is for you if...

You want to enhance your existing skills and qualifications for a career move into Internet of Things application

You want to take your data science skills to the next level, ready to lead IoT projects

You're a knowledge-seeker and want to explore the possibilities that the Internet of Things opens up

Requirements

Entry Requirements

Requirements

What you need to know

APPLICANT PROFILE

This course is ideal for mathematics, computing or science graduates, and experienced professionals, eager to build skills in the growing IoT field.

ENGLISH LANGUAGE REQUIREMENTS

All of our courses are taught and assessed in English. If English is not your first language, you must meet our minimum English language entry requirements. An IELTS score of 6.0 (no element below 5.5) is proof of this, and we also accept a range of equivalent qualifications.

Read more about our English language requirements, including information about pathways that can help you gain entry on to our degree courses.

INTERNATIONAL APPLICATIONS

Please check international intakes for the latest information and application dates.

Standard entry requirements

Undergraduate degree

The minimum requirement is a second class division honours degree or equivalent in any discipline, with previous demonstrable mathematical aptitude e.g. (A-level or BTEC Mathematics).

Alternative entry requirements

Accreditation of Prior Learning (APL)

We welcome applications from students who may not have formal/traditional entry criteria but who have relevant experience or the ability to pursue the course successfully.

The Accreditation of Prior Learning (APL) process could help you to make your work and life experience count. The APL process can be used for entry onto courses or to give you exemptions from parts of your course.

Two forms of APL may be used for entry: the Accreditation of Prior Certificated Learning (APCL) or the Accreditation of Prior Experiential Learning (APEL).

For more information or enquires about this scheme, please contact: [email protected]

Learn more about the Salford Alternative Entry Scheme.

Career

Employment and stats

What about after uni?

EMPLOYMENT

Employment prospects for graduates of the MSc Internet of Things with Data Science are strong, given current and growing levels of demand in fields across health, finance, energy and transport, neuroscience companies and central government.

Demand for data science enabled IoT engineers outstrips supply and there is continued demand for qualified, talented graduates across many global industries. Equipped with this qualification, you will have a skill set and technical knowledge relevant for the IoT and Data Science job market.

Typical roles to consider once you graduate include IoT Product Manager, Supply Chain Transformation Manager, IoT Data Analyst, Big Data Engineer, and Business Transformation Manager.

FURTHER STUDY

You might also choose to take your subject interest further with postgraduate research. The Salford Innovation and Research Centre (SIRC) is home to Informatics PhD and Research Master’s opportunities in knowledge discovery and semantic web, software engineering, big data, data mining and analytics, cyber security, information visualisation and virtual environments.

Explore our Doctoral School to learn more about research training, support and opportunities.