Digital Technologies MRes

Entry requirements:
2:1 +
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

UK India Education Research Initiative Award

for Healthcare Platform

Top city

for digital entrepreneurs

European Digital City Index 2016

Overview

If you choose an MRes in Digital Technologies, you will receive guidance from academics leading research in the fields of data science, Internet, communications, and multimedia technologies. Academics will share their expertise on Internet and Communication Networks and Principles of Data Science, to enable students to gain specialised knowledge of these fields. The Digital Technologies MRes programme will develop your passion for research by widening your skills, focusing your interests and help you to take the next step towards a PhD or future career.

Studying an MRes with Loughborough University London will give you a fascinating introduction into the life of a postgraduate researcher. Each MRes programme has been carefully designed to empower graduates with rigorous research and analytical skills, in order to progress onto highlevel researcher positions within their chosen sector or field.

Each programme will explore the research processes, and uncover the designs, practices and methodologies used by experienced researchers from each discipline. Whilst a traditional taught master’s degree programme focuses on the development of expertise in a chosen area, an MRes places more emphasis on the individual to uncover new knowledge and develop their own research expertise.

Whilst the curriculum of a traditional master’s degree focuses on the development of expertise in a chosen area, an MRes places more emphasis on the individual to uncover new knowledge and develop their own research expertise.

What makes this programme different?

  • Your launchpad to a PhD
  • Research and analytical skills
  • Uncover the designs, practices and methodologies
  • Develop your own research expertise

Who should study this programme?

You will have a passion for Digital Technologies and be looking to widen your skills, focus your interests and take the next step towards an MPhil, PhD or analytical career.

Minimum of an upper second class honours degree or equivalent in a wide range of subjects.

An honours degree (2:1 or above) or equivalent in a wide range of subjects. In exceptional circumstances an applicant may be admitted to the degree who does not possess the requirements mentioned, but who has substantial relevant work experience.

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

Digital Technologies 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. In addition to a major research project all students studying an MRes programme will complete taught units such as:

This module focuses on research in a real-world context. On completion of the module, you will have completed a full rapid cycle of teamwork-based empirical research originating from a problem set by a real organisation, community, business or similar. You will spend the module identifying appropriate approaches and research methods, planning and executing the research and disseminating the results back to their external project partner.

This exciting module will encourage the participants to learn and apply concepts related to team roles, collaborative working and shared leadership. You will be expected to apply social science and design research methods, whilst utilising your critical thinking and reflection skills.

You will also engage with the project by developing your practical research skills and project management skills, and will discover how to successfully manage stakeholder expectations, while giving practical consideration to research ethics and sustainability issues.

This hands-on module acts as a springboard if you are wishing to gain an introduction to the issues related to real-world research, in preparation for an MRes Dissertation or subsequent PhD.

Learning outcomes

On completion of this module, you should be able to:

  • Work in diverse and interdisciplinary research teams
  • Understand and be able to undertake a project and team based real-world research process
  • Apply critical enquiry, reflection, and appropriate methods to identify, frame, and resolve issues and problems related to research initiatives
  • Identify stakeholder issues, values and worldviews, while collecting and analysing evidence-based information and knowledge to develop appropriate research insights, practices and outputs
  • Identify, structure and reflect on key issues and propose solutions to undertaking research in creative ways using appropriate qualitative and quantitative research methods
  • Enhance their 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 implement a real-world and team based research initiative including identifying problems, objectives, resources, timing, and appropriate qualitative and quantitative research methods
  • Effectively communicate research ideas, methods and results to diverse stakeholders, using multi-channel, state of the art data, media and technologies
  • Make informed, critical and reflective decisions in time-limited situations

Assessment

  • Coursework (100%)

The aims of this module are to prepare you for research planning, design and execution cycles when carrying out research. You will discover how to implement good research practices and adopt professional research ethics. The module will also equip you with the relevant skills, knowledge and understanding to embark onto a professional research career in industry or academia.

Research execution stages will be discussed in detail. These include choosing the best research methods, executing the most efficient, professional and ethical research process and achieving set objectives.

You will discover the best possible data collection methods and will understand how to perform critical analysis of data including comparison against the state of the art available in the public domain.

The importance of applying a self-check process at all stages is also covered, to ensure that you are aware of the correct methods and means to reach their intended research goals. All of these topics are of vital importance and will ensure you maintain a professional attitude towards research and critical analysis.

Learning outcomes

On successful completion of this module, you should be able to demonstrate knowledge and understanding of:

  • The importance of design and planning of the overall task in hand
  • The importance of a clear hypothesis and coordination of the research objectives
  • The importance of efficient execution of the planned strategy to achieve the objectives
  • The ethical implications and the importance of professional approach to ethical issues in research
  • The methodologies for data collection or knowledge assimilation for the subject area
  • Methods of data analysis and their suitability for the intended data
  • The most effective methods of presentation of this data or knowledge skills

Assessment

  • 100% coursework

By the end of this module, you will be able to make informed assessments of the design and construction of quantitative data sources and their implications for analyses. The module will carefully guide students through the best methods to appropriately prepare and analyse quantitative data using statistical software; and apply and interpret a range of forms of statistical analysis competently, including descriptive, inferential and multivariate techniques.

The module will focus on concepts, methods and skills central to quantitative social research, including data collection approaches and concept operationalisation. Building on a grounding in ideas relating to probability sampling, sampling error and statistical inference will extend from comparisons of means and simple cross-tabular analyses to a discussion of multivariate analysis approaches, including linear and logistic regression, but also introducing other techniques relevant to specific analytical goals (e.g. factor analysis, ANOVA, principal components analysis, cluster analysis and hazard models).

Teaching methods will mostly consist of practical classes and workshops. You will gain hands-on familiarity with existing, high profile quantitative sources, including longitudinal studies, and the practicalities of handling data from such sources. This module can act as a springboard you wishing to gain more specific and advanced quantitative skills in subsequent training, in preparation for an MRes Dissertation or subsequent PhD.

Learning outcomes

On completion of this module, you should be able to:

  • Critically reflect on and provide well-grounded analysis of the appropriate type of quantitative analysis required for a specific research project
  • Understand the validity and robustness of the findings reported upon in research
  • Critically reflect upon the presented results and the extent to which these support conclusions drawn in research
  • Translate research question into research model into quantitative analysis strategy
  • Perform basic quantitative methods (such as correlations, Chi-2, factor analysis, regression analysis)
  • Recognizing, and addressing commonly found quantitative research related issues in current scholarly work
  • Be able to determine the extent to which research presented is appropriately researched
  • Be able to challenge quantitative research presented
  • Select and use appropriate quantitative research approaches
  • Demonstrate effective research strategy decision-making

Assessment

  • Report (40%)
  • Assignments (60%)

The content of this module is developed around current practice in qualitative research in a range of disciplinary fields. Content is drawn from the intended learning outcomes and is linked to the module assessment.

The module content covered includes:

  • How to become a skilled qualitative researcher
  • Epistemological and theoretical issues related to qualitative research
  • Design issues for qualitative studies
  • Selecting an appropriate research method (action research, case study, critical discourse analysis, ethnography types, gender theories, grounded theory, participant observation, textual analysis)
  • Analysing and interpreting qualitative data
  • Issues and debates related to conducting qualitative research
  • Evaluation of qualitative research studies
  • An examination of ethical considerations
  • Scholarly academic writing skills and information communication technologies
  • The future of qualitative research in solving research problems

Learning outcomes

On successful completion of this module, you should be able to:

  • Demonstrate advanced knowledge and understanding of qualitative research paradigms, principles and practices
  • Undertake an original and independent piece of qualitative research using a wide range of ontological and epistemological perspectives and methods
  • Present a rationale for the application of qualitative research to interdisciplinary research problems
  • Employ a range of qualitative approaches to record and analyse qualitative data
  • Solve complex research problems through qualitative approaches
  • Critically evaluate the characteristics of qualitative research
  • Analyse, interpret and critically evaluate qualitative data
  • Conceptualise and design qualitative research approaches for various research settings
  • Employ qualitative approaches to research and evaluate their use and value in research
  • Implement qualitative research projects for various disciplinary settings
  • Demonstrate awareness of relative activities elsewhere and always apply a self-check against the best practice
  • Find and evaluate scholarly sources
  • Engage in critical reasoning, debate and argumentation
  • Demonstrate effective communication and argumentation of the research findings with appropriate references
  • Demonstrate effective project management skills and show commercial awareness of the managed task
  • Demonstrate a positive attitude towards qualitative research approaches
  • Demonstrate qualitative problem-solving skills in a variety of research settings

Assessment

  • Coursework (100%)

 

The aims of this module are to give you an opportunity to research a related subject in detail, and present the findings in a format that best suits your academic strengths and future career goals.

The module will create an opportunity for you to put into practice real research skills and knowledge by leaning about a specific area, understanding the current problems through investigating the related state of the art and proposing solutions to push the frontiers forward in your chosen subject area.

Detailed experimentation (where possible), critical analysis of your results and effective presentation of the findings are three key milestones of this module.

You have a choice of project pathways:

  • A research project suggested by you or your academic supervisor, which will be mutually agreed and carried out within the University, with or without links to the external organisations
  • A University-based research project that is set by an external organisation and supervised by your University supervisor in collaboration with tan external organization representative
  • A research project that involves direct collaboration and placement/visits to an external organization (subject to a suitable placement position being obtained)

Learning objectives

On successful completion of this module, you should be able to:

  • Articulate a clear, coherent and original research question, hypothesis or business problem in a suitable subject area
  • Synthesise relevant sources (e.g. research literature, primary data, obtained results) to construct a coherent argument in presenting their findings to their research objectives
  • Analyse data collected by an appropriate method during their research project
  • Critically evaluate data collected in context with the state of the art available in public
  • Engage in critical debate and argumentation in written work
  • Apply principles of good scholarly practice to their written work
  • Perform an appropriate literature review using library databases or other reputable sources
  • Determine the most appropriate research methods for a particular subject area
  • Plan a research project and produce a realistic gantt chart demonstrating their intended timelines
  • Synthesise information from appropriate sources
  • Demonstrate rational use of research methods and available tools
  • Select and use appropriate investigative and research skills
  • Demonstrate effective project planning skills
  • Find and evaluate scholarly sources
  • Engage in critical reasoning, debate and argumentation
  • Demonstrate effective researching to reach the set objectives
  • Demonstrate effective presentation and report writing skills
  • Successfully manage a project from idea to completion
  • Demonstrate commercial awareness or the impact of knowledge transfer in a business or research environment

You should also be able to demonstrate knowledge and understanding of:

  • The importance of research project planning
  • The importance of researching the state of the art and understanding the subject area using literature review or other means such as software programmes, standard specifications etc
  • Theoretical as well as practical perspectives of the research objectives
  • Methods of data analysis and their suitability for the intended project objectives
  • The most effective methods of presentation of the collected and analysed data to relate it to the project objectives
  • The ethical implications of research.

Assessment

  • Final Project Report/Thesis (60%)
  • Final Presentation (20%)
  • Interim Project Report (20%)

The aims of this module are to:

  • Introduce students to the concepts of data science and their use in Data Analytics Systems
  • Enable them to gain theoretical and practical experience in simulating complex data systems involved in a variety of industries including, smart digital systems, Internet of Things, financial industries, and entertainment industries

Learning outcomes

On completion of this module, you should be able to:

  • Critical awareness of the challenges caused by the proliferation of data generation processes
  • Systematic understanding of the process of extraction of actionable knowledge from data to enable decision making
  • Theoretical background in descriptive and inferential statistics for big data
  • Machine learning algorithms for classification and pattern analysis in large data sets
  • Advanced analytical techniques, such as model building, network graph analysis, outlier detection
  • Methods for maximising predictive performance of algorithms and validation techniques
  • Analyse common summary statistics and use statistical tests to determine confidence for a hypothesis
  • Demonstrate ability to fit a distribution to a dataset and use that distribution to predict event likelihoods
  • Examine and evaluate the capabilities of available classification algorithms and be able to select and use suitable for a particular data set
  • Integration of knowledge to critically evaluate different scenarios/problems and design practical solutions to data related problems
  • Application of knowledge to through programming skills to build predictive and descriptive models for a given dataset utilising available labelled data sets
  • Apply creativity and problem solving skills in the industry/research for challenging problems in a timely manner
  • Communicate complex problems and associated solutions to specialist and non-specialist audiences
  • Evaluate problems and design solutions to those problems through scholarship gained through self-directed study

Assessment

  • 40% Coursework
  • 20% Group presentation
  • 40% 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

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
Tutorials
Independent study
Group work

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

Studying an MRes will give you a fascinating introduction into the life of a postgraduate researcher. Each MRes programme has been carefully designed to empower you with rigorous research and analytical skills, in order to progress onto a PhD. You may also continue into high level researcher positions within their chosen sector or field.

Your personal development

Research skills are greatly in demand across the high value industries of the UK. Alongside the taught elements of the programme you will be able to access a tailor-made professional development programme mapped to the Researcher Development Framework developed by Vitae, the UK’s national organisation for researcher development. The programme encourages students to identify their current skills and future career goals, and offers employability training and development activities suitable for all disciplines

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.

Our academics

At Loughborough University London, our academics continually look for new ways of doing things and continue to build best practice. We attract outstanding academics from across the world who are specialists in their field, enthusiastic about their subjects, and are at the forefront of current research.

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