Mobile Communication Systems MSc

Entry requirements:
2:2 +
Full-time:
1 year
Part-time:
up to 4 years
Start date:
October 2018
UK/EU fees:
£10,250
International fees:
£23,300
Location:
London

Achievements

Award

for Healthcare Platform

UK-India Education Research Initiative Award

TOP CITY

for digital entrepreneurs

European Digital City Index 2016

Overview

Our Mobile Communication Systems MSc programme aims to develop your knowledge and expertise in the latest mobile and wireless communication technologies driving the evolution of mobile Internet.

The demand for low-latency, high-speed mobile data access is increasing, with the use of smart phones and bandwidth-intensive wireless multimedia applications. Our MSc in Mobile Communication Systems has been designed to uncover these key areas and provide advanced knowledge of broadband, mobile, and wireless communication networks, as well as discuss Future Internet and related application areas
 
Mobile Communication Systems MSc will develop your critical thinking to assess the development, evaluation and implementation of current and future mobile communication system architectures and related application areas.
 
The Institute for Digital Technologies programmes are designed for those who wish to gain knowledge and expertise in the latest advances in digital media systems, mobile Internet, advanced 5G networks with cloud systems, cyber security, big data, internet of things, digital engineering and digital technologies combined with business and entrepreneurship.

What makes this programme different?

  • Learn from world-leading scholars in the field of digital technologies
  • Develop your own expertise in the latest mobile and wireless communication technologies
  • Discover current and future mobile communication systems

Who should study this programme?

You will want to develop their knowledge of Internet technologies and applications, broadband, mobile, and wireless communication networks.

An honours degree (2:2 or above), or an equivalent overseas qualification recognised by Loughborough University in electronics, computing, physics, mathematics or a related discipline.

​The standard University IELTS English language requirement is 6.5 overall with 6.0 in each individual element (reading, writing, listening and speaking).​

What you'll study

You will learn from the most influential thought leaders, pioneering researchers and creative innovators, exposing you to the latest theories and developments from across your discipline.

Modules

Mobile Communication Systems covers a wide range of topics; to give you a taster we have expanded on some of the core modules affiliated with this programme and the specific assessment methods associated with each module.

Compulsory modules

This module will introduce the latest mobile broadband and wireless communication technologies, including their network architectures and radio interface protocols. Topics covered include 3GPP LTE/LTE-Advanced mobile broadband radio access, propagation models, network architecture, radio interface architecture, Radio Resource Management (RRM) algorithms, scheduling algorithms for multimedia delivery, heterogeneous networks (HetNets), fixed/mobile relays, femto cells, e-MBMS, and wireless video communications techniques. The module will also introduce various other wireless communications technologies, such as WLANs, satellite communications for broadband, and will also provide an overview of the 5G mobile communications.
 
The aim of this module is to introduce you to the latest mobile broadband and wireless communication technologies, including their network architectures and radio interface protocols

Learning Outcomes

On completion of this module you should be able to:
  • Understand essential mobile broadband and wireless networks topics: mobile broadband radio access, wireless propagation models, network architecture, radio interface architecture, Radio Resource Management (RRM) algorithms, scheduling algorithms for multimedia delivery, heterogeneous networks (HetNets), fixed/mobile relays, femto cells, e-MBMS, and wireless video communications techniques;
  • 3GPP LTE/LTE-Advanced, propagation models, network architecture, radio interface architecture, Radio Resource Management (RRM) algorithms, scheduling algorithms for multimedia delivery, heterogeneous networks (HetNets), fixed/mobile relays, femto cells, e-MBMS, and wireless video communications techniques;
  • Understand mobile broadband network architecture, radio interface protocol stacks, system performance, and data rates;
  • Critically analyse and reflect on the associated limitations, the problems of current networks are facing due channel variations and relate some possible solutions;
  • Design radio resource management algorithms, media applications delivery techniques over mobile broadband networks;
  • Synthesise solutions to the straining of cellular networks as the point-to-point radio link approaches its theoretical limits;
  • Apply their communication networks knowledge when working in industry;
  • Analyse communication networks related problems and deal with their possible solutions;
  • Apply the required knowledge and skills in the latest mobile broadband and wireless networks technologies;
  • Present themselves competitively R&D jobs in the telecommunications sector in general, especially in the mobile broadband and wireless communications sector.

Assessment

  • 30% Coursework report
  • 70% Exam
 This module introduces the principles of communication networks and network technologies, including fixed and wireless networking, such as Ethernet, WLANs, mobile broadband networks, as well as basics related to communications, such as FEC coding and modulation. Topics will cover the layers within the Open System Interconnection (OSI) model, including the physical layer (e.g., copper, fibre, wireless, satellite), data link layer (e.g., MAC, 802.11, 802.3), network layer (routing, congestion, QoS, IPv4/v6), transport layer (UDP, TCP, socket programming), and application layer (HTTP, email, VoIP, VoD, streaming, conferencing). The module will also incorporate xDSL and Fibre broadband, P2P networks, and content distribution techniques.
 
The aim of this module is to provide you with the Internet and communication networks system details, their design constraints, limiting factors and application areas.
 

Learning Outcomes

On completion of this module, you should be able to:
 
  • Show knowledge of communication networks, fixed and mobile communication systems and the Internet, and be able to relate their knowledge to real-world examples;
  • Key elements and operation of the communication networks, fixed and mobile systems, and the Internet;
  • The data rates available on these networks and systems;
  • What applications would operate using these data rates with their major limitations of channel characteristics variations;
  • Gain experience with system performance analysis, understanding of operational data rates and limitations;
  • Critically analyse and reflect on the problems that the current communication networks are facing due to channel variations and relate some possible solutions;
  • Obtain communication networks design experience and their practical limitations;
  • Synthesise necessary information to evaluate data rates for given services, their channel error performances and the provided Quality of user Experience (QoE);
  • Apply their communication networks knowledge when working in industry;
  • Critically evaluate communication networks related problems and deal with their possible solutions;
  • Present themselves in the area of research and development in communication networks & the Internet to secure advanced level jobs.

Assessment

  • 30% Coursework
  • 70% Exam
 
With a multi-talented group of students you will work on a brief from a real company looking to solve a real social or business problem.
 
Together with your student team, you will research and build solutions to a business problem, supported by our project tutors, clients and staff. Previous clients include Foster + Partners, Speedo, The London Legacy Development Corporation as well as many other companies, start-ups and charities.
 
The Collaborative Project provides a means for you to engage in critical enquiry and to be exposed to project-based teamwork in multicultural and interdisciplinary settings. By undertaking this module, you will strengthen your cooperative and collaborative working skills and competencies, whilst raising your awareness and appreciation of cultural and disciplinary diversity and differences.
 
The Collaborative Project aims to provide you with a hands-on experience of identifying, framing and resolving practice-oriented and real-world based challenges and problems, using creativity and appropriate tools to achieve valuable and relevant solutions. Alongside the collaborative elements of the module, you will be provided with opportunities to network with stakeholders, organisations and corporations, which will give you the experience and skills needed to connect to relevant parties and potentially develop future employment opportunities.
 

Learning Outcomes

On completion of this module, you will be able to:
 
  • Work effectively in diverse and interdisciplinary teams;
  • Undertake and contribute towards a project-based development process;
  • Apply critical enquiry, reflection, and creative methods to identify, frame, and resolve issues and problems at hand;
  • Identify user and stakeholder needs and value creation opportunities, whilst collecting and applying evidence-based information and knowledge to develop appropriate insights, practices and solutions;
  • Identify, structure, reflect on key issues and propose solutions to problems in creative ways;
  • Enhance your appreciation for diversity and divergent individual and disciplinary perspectives;
  • Be able to provide structured, reflective and critical feedback to peers and other stakeholders;
  • Plan and execute a project plan including scope, resources and timing;
  • Effectively communicate ideas, methods and results to a diverse range of stakeholders;
  • Use multiple, state-of-the-art date media and technologies to communicate with collaborators;
  • Make informed, critical and reflective decisions in time-limited situations.

Assessment

100% Coursework consisting of:
  • 20% Group project proposal
  • 20% Individual reflection
  • 30% Final Project Report
  • 30% Project deliverables to the client
 
The Dissertation module will equip you with the relevant skills, knowledge and understanding to embark on your own research project. You will have the choice of three dissertation pathways:
 
A desk based research project that could be set by an organisation or could be a subject of the student's choice
A project that involves collection of primary data from within an organisation or based on lab and/or field experiments
An Internship within an organisation during which time students will complete a project as part of their role in agreement with the organisation (subject to a suitable placement position being obtained)
By undertaking a dissertation at master's level, you will achieve a high level of understanding in your chosen subject area and will produce a written thesis or project report which will discuss your research in more detail.
 

Learning Outcomes

On successful completion of this module, you should be able to demonstrate knowledge and understanding of:
 
  • The importance of project planning;
  • The importance of a clear hypothesis or research question;
  • The ethical implications of research;
  • The relevant empirical data and methodologies for data collection or knowledge assimilation for the subject area;
  • Methods of data analysis and their suitability for the intended data;
  • The areas of expertise or publications of the major individuals or organisations in the subject or business area;
  • The previous research or current knowledge in the specific subject or business area;
  • Theoretical perspectives relevant to your chosen topic;
  • The most effective methods of presentation for data or knowledge;
  • Developing a clear, coherent and original research question, hypothesis or business problem in a suitable subject area;
  • Synthesising relevant sources (e.g. research literature, primary data) to construct a coherent argument in response to your research question, hypothesis or business problem;
  • Analysing primary or secondary data collected by an appropriate method;
  • Critically evaluating data collected in context with previously published knowledge or information;
  • Engaging in critical debate and argumentation in written work;
  • Applying principles of good scholarly practice to your written work;
  • Performing appropriate literature searching/business information searching using library databases or other reputable sources;
  • Planning a research project and producing a realistic gantt chart demonstrating your intended timelines;
  • Synthesising information from appropriate sources;
  • Demonstrating rational use of research method tools;
  • Selecting and using appropriate investigative and research skills;
  • Demonstrating effective project planning skills;
  • Finding and evaluating scholarly sources;
  • Engaging in critical reasoning, debate and argumentation;
  • Demonstrating effective report writing skills;
  • Recognising and using resources effectively;
  • Successfully managing a project from idea to completion;
  • Demonstrating commercial awareness or the impact of knowledge transfer in a business or research environment.

Assessment

100% Coursework consisting of:
  • 20% Literature review
  • 20% Research proposal
  • 60% Dissertation report/essay

Optional modules

The next stage in the Future Internet is to progressively evolve to a network interconnected with environments including objects. The Internet of Things (IoT) is involved in interaction and communication between objects and furthermore, with the environment to support decision making, improve situational awareness, increase operational efficiency and enable to explore new business models.
 
This module explores the emerging computing concepts and deployment of emerging IoT platforms and devices. The module will present the usage scenarios of communication and highly scalable consumption of data from geographically dispersed physical objects and sensors and the processing and delivery of such data to end-users. Sensing, tracking, monitoring, actuator, data & control service, data processing, information management, integration methodology, and M2M are among the other topics covered. Students will also be introduced to recent examples of smart cities & smart homes.
 
The aim of this module is to provide you with the knowledge and understanding of computing concepts related to the emerging IoT platforms and devices and their deployment.

Learning Outcomes

On completion of this module you should be able to:
  • Demonstrate understanding of the main concepts into the usage scenarios of IoT communication and highly scalable consumption of data from geographically dispersed physical objects and sensors, as well as the processing and delivery of such data to end-users;
  • Interaction and communication between objects and with the environment to support decision making, improve situational awareness, and increase operational efficiency;
  • Modern applications of smart cities and smart homes;
  • Understand the concepts pertaining to the IoT systems;
  • Critically analyse and reflect on the limitations and problems faced in those systems and relate some possible solutions;
  • Analyse the emerging IoT platforms and devices, and the associated technologies considered in their design;
  • Distinguish the requirements pertaining to different contextual information collected and exploited within different IoT scenarios;
  • Apply the acquired IoT knowledge in designing future intelligent systems, particularly in sectors that are closely related to smart cities, homes, & eHealth;
  • Demonstrate the technologies and research capabilities in the smart systems & Internet technologies areas.

Assessment

  • 40% Coursework
  • 60% Exam
This module covers the main concepts and technical details of network security properties, mechanisms, protocols and applications that are widely in use.

Learning Outcomes

On completion of this module you should be able to:
  • Demonstrate knowledge of main concepts related to the network security properties, mechanisms, protocols, and applications that are widely in use in today’s communication systems and networks, and be able to relate their knowledge to network security issues in real-world scenarios
  • Understand the principles of security in computer networks, concepts, models and architectures of available network security mechanisms
  • Understand the security in the Internet and web-based applications
  • Analyse detailed concepts pertaining to the network security architectures and their use
  • Recognise limitations, and design possible solutions for existing problems in web-based applications, common security architectures & APIs
  • Demonstrate gained experience in the Internet security and security concept in web-based applications, common security architectures & APIs
 
Assessment
  • 30% Coursework report
  • 70% Exam
This module introduces you to cloud computing paradigm: motivation, key features, and overview of cloud system models. Cloud computing fundamentals are presented, such as scalable computing over the Internet, virtual machines and virtualization of clusters, performance metrics for cloud computing. The module also looks at cloud architecture design (cloud service models, service-oriented architecture, management, data­centre design and interconnection networks, architecture design of computation and storage cloud, representative algorithms for virtual machine deployment). Basic cloud programming principles are described.

Learning Outcomes

On completion of this module you should be able to:
  • Demonstrate knowledge of cloud computing fundamentals, architectural design specifics of the cloud based computing and communication systems, as well as network virtualisation technologies, and be able to relate their knowledge to real-world examples
  • Understand cloud computing fundamentals
  • Understand virtualisation of operations
  • Understanding of cloud architecture design
  • Comprehend the cloud computing paradigm
  • Formulate scalable computing architectures
  • Know the performance requirements of various cloud architectures
  • Apply basic cloud programming principles
  • Apply the gained knowledge in practical cloud solution design and implementation
  • Enterprise/Employability skills:
  • Demonstrate competitiveness in cloud systems

Assessment

  • 30% Coursework
  • 70% Exam
This module gives a brief overview of the cloud technology and covers media cloud applications and challenges, such as energy efficiency in cloud systems, mobile cloud computing, cloud multimedia rendering, streaming, coding, transcoding, caching, quality probing, adaptation, etc. Also, media cloud networking and related topics are addressed. Privacy and security issues in media cloud services are also covered. The media cloud case studies and business models are presented.
 
The aim of this module is to provide you with an overview of the cloud technology with a special emphasis on media cloud applications and the associated challenges

Learning Outcomes

On completion of this module, you should be able to:
  • Develop an overview of the cloud technology, demonstrate specific knowledge in media cloud applications and the challenges that are associated with making such applications available to the end-users via cloud technology;
  • The principles of cloud computing technology, media cloud applications, and the associated challenges;
  • Media cloud networking and related topics;
  • Privacy and security issues in media cloud services;
  • Media cloud case studies and business models;
  • Identify the requirements pertaining to the media applications used in cloud services;
  • Design cloud computing architectures;
  • Apply gained academic knowledge and experience in real world scenarios;
  • Apply their critical analysis and problem solving skills in the industry for tackling problems and providing solutions for media cloud applications and services;
  • Demonstrate the necessary knowledge and skills required by R&D and services providers in the cloud computing and applications/services domain.

Assessment

  • 30% Coursework
  • 70% Exam
This module will cover audio and video processing technologies. The first part of the module includes audio signal capturing, adaptation, compression, enhancement, data analysis, sound control, noise cancellation, spatial audio, digital signal processing (DSP),and various coding techniques. The second part includes video processing techniques, such as motion estimation, edge detection, histogram equalisation, segmentation, object detection. In particular, 3D video processing techniques will be outlined (depth image based rendering, estimation and processing). Scalable and multi-view coding schemes will be covered. Other topics include innovative integration of audio and video applications. The topics will be discussed with a view to enable efficient storage but more importantly for efficient and effective communication systems. Students will have opportunities to enhance their practical skills in media coding with C++ and Matlab DSP packages.
 
The aim of this module is to provide you with theoretical and practical knowledge on audio and video processing and coding techniques.

Learning Outcomes

On completion of this module you should be able to:
  • Display knowledge in essential topics on: audio and video signal processing, coding techniques including scalable and multi-view aspects, as well as integration of audio and video applications;
  • Fundamental theory and practice related to audio capturing, processing, and coding, sound control, noise cancellation;
  • Video processing techniques (e.g., object detection, segmentation), fundamentals of video compression and key standards, advanced video representation and rendering techniques, including 3D;
  • Analyse digital data and formulate a diagnosis in media processing;
  • Comprehend the use of multimedia signals in systems, and effectively apply multimedia signal processing skills for the design of those systems;
  • Use coding skills with C++ and Matlab for digital media signals;
  • Implement digital filters for audio and video signals;
  • Implement multimedia rendering and control systems;
  • Use development hardware and software tools for data processing;
  • Analyse and evaluate research data;
  • Make oral presentations and produce well-structured written work based on data collection and analysis;
  • Work effectively in a group environment;
  • Demonstrate problem-solving skills in digital media processing and coding;
  • Demonstrate a logical and analytical skills in media processing.

Assessment

  • 30% Coursework report
  • 70% Exam
This module introduces the main concepts and state-of-the-art applications of 3D multimedia with an emphasis on rendering and interactive control algorithms in mobile and static environments. The applications encompass the implementation of immersive multimedia environments such as spatial audio with associated 3D video, mobile personal 3D environments, noise shielding, sound zones, and furthermore integrated 3D virtualisation. The main topics include immersive reconstruction methodologies (wave field synthesis, surround audio with 3D video), active sound/noise control, adaptive filtering, innovative use cases of mobile phone audio interfaces, and head tracking technologies in a dynamic user environment. Students will also learn how to practically use DSP skills with programming tools, such as C++ and Matlab DSP packages, for the applications.
 
The aim of this module is to introduce and enhance the main concepts and state-of-the-art applications of 3D multimedia with an emphasis on rendering and interactive control algorithms.

Learning Outcomes

On completion of this module you should be able to:
  • Grasp the main concepts and state-of-the-art applications of 3D multimedia with an emphasis on rendering and interactive control algorithms in mobile and static environments;
  • Identify the techniques and technologies used in the development of immersive multimedia systems;
  • Known the key concepts of 3D multimedia technologies used as state-of-the-art user environments;
  • Understand the design processes involved in the development of those environments;
  • Identify findings from evaluation and research data to formulate a diagnosis in 3D environments;
  • Comprehend, analyse, and apply given knowledge to meet the objectives in 3D multimedia engineering;
  • Use DSP skills with C++ and Matlab DSP packages, for 3D multimedia applications;
  • Implement digital filters for multimedia signals;
  • Implement 3D multimedia rendering systems including hardware and software;
  • Use presentation tools specific to the academic and research areas;
  • Present ideas and arguments in a clear and structured manner in written or oral form;
  • Write scientific reports based on data collection and findings;
  • Demonstrate a positive attitude towards innovative multimedia applications;
  • Demonstrate problem-solving and decision-making skills in digital multimedia technologies;
  • Demonstrate a logical and analytical mind in Electronic Engineering.

Assessment

  • 30% Coursework
  • 70% Exam
In this module MATLAB simulation tools and environments will be covered in combination with the basic understanding of programming in C++ which is a basic tool for developing cross-platform DSP systems and multimedia applications. Topics include: basic C++ programing, objective foundation, C++ class & inheritance, and advanced programming techniques such as templates & exceptions, MATLAB programming skills, optimisation and simulation tools for signal processing & communications.
 
The aim of this module is to provide you with basic understanding and programming skills in C++ and MatLab for developing digital signal processing applications and simulation.

Learning Outcomes

On completion of this module you should be able to:
  • Demonstrate basic programming skills in C++ and MatLab;
  • Demonstrate necessary programming techniques in digital signal processing to develop applications and simulations for media processing;
  • Cross-platform programming structure and skills in general;
  • How to use digital signal processing tools and functions;
  • Techniques used in developing applications and related numerical simulations;
  • Understand the concept of advanced techniques of class, inheritance, templates;
  • Identify, utilise and optimise tools, algorithms and functions for simulation of complex digital signal processing applications;
  • Implement functions and algorithms in C++ and MatLab;
  • Understand the use of advanced techniques of, e.g. class, inheritance, templates and optimisation;
  • Gain knowledge of different algorithms, functions and their usage in DSP tool box;
  • Develop multimedia DSP applications and simulations for digital media and communication systems;
  • Solve other industrial complex problems involving signal processing algorithms;
  • Find solutions for practical problems by reasoning, deduction and implementing from idea to final application;
  • Abstract features from complex objects/problems and develop ideas into algorithms;
  • Fulfil the research and development requirements in multimedia and communication systems as well as other digital technologies sectors.

Assessment

100% Coursework consisting of:
  • 50% Coursework 1
  • 50% Coursework 2

You will pick a subject from the list of nominated Second Subject modules offered by the other Loughborough University London Institutes. Second Subject Module options may include the following:

The module will include: visualization, using imagery to envision possible future conditions; journey mapping, assessing the existing experience through the customer's eyes, using customer oriented data collection techniques; value chain analysis, assessing the current value chain that supports the customer's journey; mind mapping, generating insights from exploration activities and using those to create; design criteria; brainstorming, generating ideas; rapid concept development, assembling innovative elements into a coherent proposition that can be explored and evaluated; rapid ‘prototyping', expressing a new concept in a tangible form for exploration, consumer testing, and refinement; consumer testing; and storytelling.
 
The aim of this module is to enhance your ability to use design approaches and tools for identifying and implementing human centred innovation opportunities. You will be expected to deploy knowledge learned in this module into the parallel running Collaborative Project module.

Learning Outcomes

The module will introduce you to a systematic design-based approach aimed at identifying and implementing user centered innovation opportunities.
 
On completion of this module you should be able to:
  • Identify when and how to use range of Design Thinking tools;
  • Select appropriate tools to inform project development;
  • Appropriate use of the Design Thinking tools in a parallel module;
  • Develop communication skills in diverse teams;
  • Develop a systematic approach to tackle complex projects;
  • Apply tools in a project context;
  • Work with a variety of stakeholders;
  • Understand how to tackle `wicked' problems;
  • Deliver a succinct presentation to communicate key facts.

Assessment

  • 10% Presentation
  • 20% Peer Feedback
  • 70% Report
The theory of entrepreneurship and the importance of entrepreneurial action to the innovation process; the contemporary business environment; micro and macro environments; intellectual property; funding & finance; project management; corporate responsibility & sustainability; governance; ethics; business planning; strategy; risk analysis and failure.
 
The aim of this module is to equip you with an in depth knowledge of the innovation process, its importance to the economy and an understanding of all of the various factors affecting its success including intellectual property, funding and strategy. We will introduce the academic theories of entrepreneurship and analyse the personality traits and behaviours associated with entrepreneurs.

Learning Outcomes

On completion of this module you should be able to:
  • Innovation as a process;
  • Identify the academic theories of entrepreneurship;
  • Identify the factors influencing the success of organisations;
  • Relate innovation theory to the performance of organisations;
  • Use investigative and research skills;
  • Demonstrate effective report writing skills.
  • Demonstrate commercial awareness.

Assessment

100% Coursework consisting of:
  • 50% Report 1
  • 50% Report 2
This module will include teaching of the main themes that underpin media and marketing, including the evolution of media and marketing in a sport context, the practices and techniques for effective sport media and marketing, the types of media and marketing, and consumer and fan engagement.
 
The aims of this module are to be introduced to key concepts in sport media and marketing and to develop understanding of the nature of sport media and marketing.

Learning Outcomes

On completion of this module, you should be able to:
  • Assess the major theories, principles, and concepts surrounding sport media and marketing;
  • Apply techniques and practices involved in conceptualising and developing a marketing plan;
  • Gather, analyse, and present sport media and marketing ideas and concepts;
  • Apply sport media and marketing principles that can be utilised in different sport environments;
  • Demonstrate initiative and personal responsibility;
  • Continue to learn independently and to develop professionally.

Assessment

  • 40% Sponsorship Pitch
  • 60% Marketing Plan
The module content will include: defining media and creative industries; ownership, concentration and control in media and creative industries; innovation and technological change; media and creative markets; business models in media and creative industries; copyright; global media cities; clustering of media and creative industries; media and cultural policy.
 
The aim of this module is to introduce you to key critical debates relating to the economics of media and creative industries and their social, cultural and political implications.

Learning Outcomes

On completion of this module you should be able to:
  • Understand how and why the media and creative industries have been defined;
  • Understand the importance of industrial structure in media and creative industries;
  • Understand the implications of innovation and technological change for media and creative industries;
  • Understand changing business models in media and creative industries;
  • Understand the importance of copyright and how this is affected by technological change;
  • Understand why media and creative industries cluster in particular spaces and cities;
  • Understand the globalisation of media and creative industries;
  • Understand media and cultural policy.
  • Identify, debate and evaluate relevant critical perspectives on media and creative industries;
  • Systematically assess the implicit theoretical assumptions of contrasting perspectives;
  • Use critical perspectives to analyse emerging trends in media and creative industries;
  • Communicate effectively in speech and writing, with academic and non-academic audiences;
  • Engage in critical reasoning, debate and argumentation;
  • Assess the empirical validity of competing perspectives;
  • Manage time and resources effectively;
  • Synthesise different sources of data and identify key arguments and issues at stake in particular fields of practice;
  • Understand the behaviour of firms in media and creative industries;
  • Understand emerging trends in media and creative industries;
  • Apply skills in written and verbal communication that are relevant to this field;
  • Be able to plan, organise and manage coursework assignments, demonstrating independence, initiative and originality.

Assessment

  • 100% Coursework
This module will introduce the main concepts, theories and practices of international relations and diplomacy.
 
The overarching aim of the module is to provide students with a wider understanding of the historical trends, conceptual bases and current practices of diplomacy in the context of current global affairs and to help them critically evaluate the relevance for all fields of social, economic and scientific practice. As part of such aim, the module will advance an interdisciplinary ethos.

Learning outcomes

  • Evaluate the historical evolution of the modern international system
  • Critically evaluate the key concepts and theories of diplomacy
  • Evaluate the role and behaviours of international organisations and states in the international system
  • Evaluate the context of the present-day international political and economic relations within which diplomacy takes place
  • Identify and assess the importance of such dynamics for their respective fields of study
  • Construct reasoned arguments utilising concepts and approaches to the study of diplomacy
  • Recognise established and emergent phenomena in the practice of diplomacy within the current global affairs
  • Creatively and critically evaluate the possibilities of various intersections between diplomatic practice and the objectives and modes of delivery in their respective fields
  • Via in-class team tasks, and in assessed assignments, apply such skills to empirically grounded case study materials
  • Reflect on own learning and make use of constructive feedback
  • Gather and organise evidence, data and information from a variety of secondary and primary sources
  • Work in small groups
  • Develop research and presentation skills
  • Develop a cross-disciplinary and collaborative research and learning ethos

Assessment

  • 40% Presentation
  • 60% Essay

How you'll be assessed

You will complete a combination of written and practical assessments, which may vary depending on the module choices you make. You can expect to complete essays and reports of varying lengths, as well as presentations, proposals and pitches in some cases. For information about the assessments you will be expected to complete for each module, please see the compulsory and option module lists for this programme.​

How you'll study

Seminars
Lectures
Independent study
Group work
Practical sessions
Workshops

Your personal and professional development

Loughborough University London prides itself on the high calibre of graduates it produces, and provides great opportunities for you to develop the skills and attributes you need to progress successfully in your chosen career.

Future career prospects

As the Internet is part of our everyday lives, providing us with the means for many of our personal and business-related activities, choosing this programme will provide a great opportunity to gain the essential knowledge and skill set to be placed in the telecommunications, Internet and mobile communication technologies industry, as well as research, development and academic positions.
 
You will also have the opportunity to enhance your knowledge and career prospects further by undertaking an MRes or PhD programme.

Your personal development

Each module includes inspiring guest lectures from successful entrepreneurs and business leaders across a range of industries.
 
Enterprise Through the Curriculum is an intrinsic element of every master’s programme at Loughborough University London and has been carefully designed to give you the best possible chance of securing their dream role. From employability profiling to live group projects set by a business or organisation, and from site visits to organisation-based dissertation opportunities, Loughborough University London is the first of its kind to develop a suite of activities and support that is positioned as the underpinning of your experience.

Fees and funding

UK/EU:
£10,250
International:
£23,300

Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other support services. University fees and charges can be paid in advance and there are several methods of payment, including online payments and payment by instalment. Special arrangements are made for payments by part-time students.

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