Postgraduate MSc

Internet Protocol & Artificial Intelligence in Media and Distribution

School of Arts and Media

Attendance

Full-time

Part-time

Course

One year

Two year

Next enrolment

September 2021

Introduction

In a nutshell

This new postgraduate programme is intended to analyse and explore the impact of Artificial Intelligence in the production and acquisition of broadcast media. It will consider how the fabric, functionality and influence of AI systems in distributed media, contribution and transmission across media networks and mobile infrastructures is changing the direction and model of media infrastructures.

At our MediaCityUK campus, you will investigate the implications, integration conceptual and functional design of architectures to enable AI development and implementation.

This MSc programme is aimed at extending broadcast engineers’ experience and understanding of the ability and capabilities of Artificial intelligence in the creation and distribution of media in society.

You will:
  • examine the ways in which Internet Protocols (IP) and Artificial Intelligence (AI) work in the media industry.
  • learn the mechanisms and techniques of dealing with the new extended fabric of modern infrastructure for broadcast media delivery
  • study at our campus at MediaCityUK - one of the country's leading digital hubs
International

students accepted

Course details

All about the course

This postgraduate programme is intended to enable you to analyse and explore the impact, mechanisms and influence of Internet Protocol systems and Artificial Intelligence in the production and acquisition of broadcast media.

The programme will explore the ways in which the fabric, functionality, and influence of IP and AI systems in distributed media, and the transmission of data across media networks and mobile infrastructures, is changing the direction and model of media infrastructures.

You will investigate the implications and design of fabric and architectures to enable AI development and its implementation. The programme will extend broadcast engineers’ experience and understanding of the capabilities of Artificial Intelligence in the creation and distribution of media.

The goal of the programme is to enable an extended understanding of the importance and opportunities AI brings to next generation media production, distribution and design.

Building on the strong industry links of the undergraduate BSc Media Technology programme, this Master's programme further enhances students’ opportunities to collaborate with a number of broadcast manufacturers, design companies, and delivery and distribution mechanisms. Companies with links to the programme include Newtek, Blackmagic design, Red Bee, SIS, Dock 10, DB Broadcast, Televideo, Techex, ITV. AWS, Netflix and BT.

Modules

IP in Broadcasting: The end of integrated engineering?

In this module we look at the spread and influence of IP methodologies and fabric in modern media Infrastructures. The module considers how we handle hybrid realities with the need to upgrade and replace with IP dominated systems.

The Rise of AI

This module charts the dissemination, integration and functionality of Artificial Intelligence (AI) in technical production and delivery workflows.

Applications of Integrated Design in Modern Infrastructures

Both IP dominated systems and AI architectures are currently accommodated in modern systems integration. This module explores the challenges posed by this situation, looking at methods of best practice and innovative solutions.

Evolving IP and AI in Production

Production companies and broadcasters have experimented with and implemented IP and AI dominated production workflows and methods. This module explores such uses and asks whether they are as robust as existing methods.

Major Project

For this module, students will undertake a major research-based final project, looking closely at a specific aspect of a systems method or workflow which illustrates one of the core elements of Design, Engineering or Production, specifically utilising IP and AI methodologies.

Please note that it may not be possible to deliver the full list of options every year as this will depend on factors such as how many students choose a particular option. Exact modules may also vary in order to keep content current. When accepting your offer of a place to study on this programme, you should be aware that not all optional modules will be running each year. Your tutor will be able to advise you as to the available options on or before the start of the programme. Whilst the University tries to ensure that you are able to undertake your preferred options, it cannot guarantee this.

School of Arts and Media

The School of Arts & Media is the largest School at the University of Salford with more than 4,000 creative students. Across sites at MediaCityUK and the University's Peel Park campus, we offer a huge variety of courses, from Fashion Image Making and Styling, Television and Radio, Creative Writing and Music to Journalism, Animation, Design and Performance.

Facilities

Teaching is delivered in a state-of-the-art Technology Lab at our MediaCityUK campus. You will also have supported sessions in our HD TV studios on site.

Employment and stats

What about after uni?

Students completing this MSc will have an advanced understanding of how IP and AI currently work in the industry and how they are anticipated to evolve.

These skills will make graduates especially interesting to prospective employers looking to upskill their workforce.

Career Links

The programme team have links with companies including Newtek, Blackmagic design, Red Bee, NEP , Dock 10, DB Broadcast, Televideo, and Techex.

A number of these companies either contribute through feeding data and information to the programme team or by providing masterclasses and talks to the student group.

Employers have been canvased by the programme team to confirm the need for more senior grade engineers and operators with more extended knowledge of IP and the implications of AI. It is clear that this is a current growing area of industry and commercial activity, and our industry links ensure that our graduates are well prepared to enter this world with a clear understanding of cutting-edge technologies and their applications.

Requirements

What you need to know

The ideal candidate for this programme is someone who is either in an engineering role, or has graduated with an understanding of the significance of IP and AI in the shaping of systems, companies and media. You would therefore relish the opportunity to gain more specialist insights into the new applications of such technologies.

English Language Requirements

International applicants will be required to show a proficiency in English. An IELTS score of 6.5, with no element below 5.5, is proof of this.

Standard entry requirements

Standard entry requirements

Applicants should hold an undergraduate degree at 2.1 or above. A degree of 2.2 will be considered if evidenced alongside an active professional engineering background.

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).

How much?

Additional costs

You should also consider further costs which may include books, stationery, printing, binding and general subsistence on trips and visits.

Apply now

All set? Let's apply

Enrolment dates

September 2021

September 2022