MSc Internet Technologies with Business Management

Institute for Digital Technologies

You will gain business orientated qualification and skill set development based on Internet technologies and have the opportunity for combining Internet technologies with business possibilities that is one of the fastest evolving trends in the world.

This programme is aimed at providing knowledge and expertise in Internet technologies with relevant business management aspects for not only providing and managing the usual Internet service businesses, but also for generating new Internet enterprise opportunities. The programme is designed in such a way that the technological expertise is provided with the latest advancement in Internet technologies through research-informed teaching, whilst the business management knowledge is provided through advanced business analysis and related case studies. It will equip the students with necessary qualification to further their careers in either technology development fields or technology management with possible new business management opportunities.

The programme is most desirable for technologists with business aspirations as well as business entrepreneurs for the design of Future Internet architectures, systems, services, business models and entrepreneurship in the Internet-connected world.

Programme Aims

a) Develop students’ knowledge and expertise in Internet systems and technologies through practical application analysing and evaluating problems and responding to challenges in real time

b) Develop students’ knowledge and understanding of the Internet service business management, including the ability to spot trends and gaps in the market and to develop ideas that respond to identified needs

c) Develop students’ critical thinking in order to evaluate the factors affecting the success of the innovation process

d) Use action-based learning to provide individuals and teams with employment skills essential to the digital/tech industry

Programme Structure

To complete the MSc Internet Technologies with Business Management, students will complete 8 x 15 credit modules and choose and complete 1 of the Glendonbrook Institute for Enterprise Development optional modules and 4 of the Institute for Digital Technologies optional modules to complete the MSc Internet Technologies with Business Management. 1 of these modules must be completed in Semester 1 and 4 in Semester 2. All students must complete a Dissertation worth 60 credits.

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Duration

1 year full-time or up to 4 years part-time

Assessment

Modules are assessed primarily by exams and also include a combination of group exercises, presentations and time-constrained coursework and assignments with varying levels of weighting depending on the nature of each module.

Entry qualifications

Minimum of a lower Second Class Honours degree (2:2) in Electronics, Computing, Physics, Mathematics or a related degree with industrial experience from a UK university, or an equivalent overseas qualification recognised by Loughborough University.

English Language requirements: IELTS 6.5 overall, with a minimum of 6.0 in each subtest (Reading, Listening, Writing and Speaking) or equivalent. See EngLang requirements here.

Career prospects

Your Loughborough University MSc in Internet Technologies with Business Management will equip you with key technologies and skills on how to combine Internet technologies to create services with viable business options. Graduates are expected to develop their own start-ups, join new SMEs or work at established Internet technology and telecommunication companies.

Fees and Funding

£10,000 (UK/EU) / £22,650 (International)

Click here to see our available scholarships for 2017 entry.

Compulsory modules

Please see our listing of modules below, further modules for 2017 entry will be added in due course. Please check back for updates.

Innovation Management

Module Description

This module aims to equip students with an in depth knowledge of the innovation process, its importance to the economy and an understanding of the factors affecting its success.

Intended Learning Outcomes

This module covers the complexity of the innovation process, the types and patterns of innovation and the interrelationship between an organisation’s environment and its innovative capability.

On completion of this module students should be able to:

a) Understand the complexity of the innovation process

b) understand the types and patterns of innovation

c) Understand the interrelationship between an organisation¿s environment and its innovative capability

d) Relate innovation theory to the performance of organisations

e) Interpret company performance in relation to the dynamic environment in which it operates

Modular Weight

15 Credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study (123 hours)

Lectures (18 hours)

Tutorials (9 hours)

Assessment

Report (100%)

Collaborative Project

Module Description

This module tests your skills in a team environment. 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 for a real client. Student teams will research and build solutions to a business deadline supported by our project tutors, clients and staff. We expect clients to include BT Sport, The London Legacy Development Company and other companies and charities working to respond to the digital age.

Intended Learning Outcomes

On completion of this module students should be able to:

a) Deal with challenges associated with working in interdisciplinary teams

b) Undertake a project development process informed by organisational frameworks

c) Demonstrate interdisciplinary communication skills

d) Apply Design Thinking methods

e) Plan and execute a project plan in collaboration with other team members

f) Identify user needs, collecting and analysing appropriate data, creating conceptual solutions and develop a prototype

Modular Weight

15 credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study (99 hours)

Supervised time in studio (40 hours)

Lectures (10 hours)

Tutorials (1 hour)

Assessment

Project plan (20%)

Group report (50%)

Project outputs including presentation (30%)

Internet and Communication Networks

Module Description

This module provides students with an introduction to the Internet and communication networks systems, including computer networks and communications technologies, network architectures, protocol layers, algorithms, and application areas.

Intended Learning Outcomes

On completion of this module students should be able to:

a) Have gained knowledge of communication networks, fixed and mobile communication systems and the Internet, and be able to relate their knowledge to real-world examples

b) Understand key elements and operation of the communication networks, fixed and mobile systems, and the Internet

c) Understand the data rates available on these networks and systems

d) Understand what applications would operate using these data rates with their major limitations of channel characteristics variations

e) Gain experience with system performance analysis, understanding of operational data rates and limitations

f) Critically analyse and reflect on the problems that the current communication networks are facing due to channel variations and relate some possible solutions

g) Obtain communication networks design experience and their practical limitations

h) Synthesise necessary information to evaluate data rates for given services, their channel error performances and the provided Quality of user Experience (QoE)

i) Apply their communication networks knowledge when working in industry

j) Critically evaluate communication networks related problems and deal with their possible solutions

k) Present themselves in the area of research and development in communication networks & the Internet to secure advanced level jobs

Modular Weight

15 Credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorials (4 hours)

Assessment

Exam (70%)

Final coursework report (30%)

Dissertation

Module Description

The aim of this module is for the student to conduct an individual research project on a core programme related topic which is either an issue of their choice, an exploratory question agreed with an industry/external partner. The project will investigate this research in depth and with rigour. The project should build on methodological skills developed in earlier modules.

Intended Learning Outcomes

The overall goal of the Dissertation module is for the student to display the knowledge and capability required to perform independent work within the context of the programme of study.

Modular Weight

60 Credits

Delivery Period

Semester 1 and 2

Teaching and Learning

Guided independent study (555 hours)

Lectures (25 hours)

Tutorials (20 hours)

Assessment

Dissertation (80%)

Project proposal (20%)

Optional modules

Choose four modules from the Institute for Digital Technologies and one module from the Glendonbrook Institute for Enterprise Development

Entrepreneurship

Module Description

This module aims to encourage students to develop their own entrepreneurial skills. You will study the academic theories of entrepreneurship and look at the personality traits and behaviours associated with entrepreneurs. Students will then be encouraged to develop their own ideas and test their theories in a mini research project.

Intended Learning Outcomes

This module covers the academic theories of entrepreneurship, the interconnectedness between entrepreneurial tendencies and resulting behaviour and the measure of the cognitive, conative and emotional components of entrepreneurial attitude.

On completion of this module students should be able to:

a) Understand the academic theories of entrepreneurship

b) Understand the interconnectedness between entrepreneurial tendencies and resulting behaviour

c) Understand the measure of the cognitive, conative and emotional components of entrepreneurial attitude

d) Recognise and apply self-reflection for personal development

e) Recognise the need for entrepreneurial behaviour

f) Understand the need for sensitivity to diversity within organisations

Modular Weight

15 Credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study (123 hours)

Lectures (18 hours)

Tutorials (9 hours)

Assessment

Report (100%)

Intellectual Property

Module Description

This module aims to equip students with a knowledge of the various types of intellectual property, searching intellectual property databases, the legal basis of intellectual property rights, the application process for obtaining intellectual property and its importance to the innovation process and the entrepreneur.

Intended Learning Outcomes

This module covers the importance of intellectual property as an asset, the complexity of Intellectual Property law and the protection process and the commercial value of the various types of Intellectual Property.

On completion of this module students should be able to:

a) Understand the importance of intellectual property as an asset

b) Understand the complexity of Intellectual Property law and the protection process

c) Understand the commercial value of the various types of intellectual property

d) Interpret data and information in order to make effective decisions

e) Perform intellectual property searches

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (123 hours)

Lectures (15 hours)

Tutorials (12 hours)

Assessment

Case study (75%)

Group presentation (25%)

Strategy and Planning

Module Description

Students will receive the background knowledge on goal setting, strategic positioning and the more practical aspects of business planning. You will look at a variety of risk analysis tools and consider the importance of thorough market analysis and research prior to planning a new venture.

Intended Learning Outcomes

On completion of this module students should be able to:

a) Understand the complexity of the innovation process

b) Understand the importance of idea creation and opportunity spotting

c) Critical assessment of a potential product or service

d) Strategic positioning of a novel business idea

e) Analyse data and information in order to make effective decisions

f) Recognise and apply self-reflection for personal development

g) Demonstrate rational use of business and risk analysis tools to analyse company performance

h) Demonstrate effective communication to persuade and influence stakeholders

i) Evaluate the funding needs of a new venture

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (123 hours)

Lectures (15 hours)

Tutorials (12 hours)

Assessment

Report (100%)

Understanding Business Failure

Module Description

Students will gain knowledge of the various factors that cause failure of organisations. You will look at the innovation process and risk assessment methods for avoiding failure. You will also look at the risk taking traits of entrepreneurs and the attitude towards failure in society.

Intended Learning Outcomes

On completion of this module students should be able to:

a) Understand the multiple causes of failure and interconnectedness of these

b) Understand the ways in which organisations and individuals can learn from failure

c) Recognise the value of failure as a positive step

d) Recognise the need for resilience in the case of failure

e) Demonstrate rational use of business and risk analysis tools to analyse company performance

f) Select and use appropriate investigative and research skills

g) Demonstrate effective report writing skills

h) Demonstrate commercial awareness

i) Demonstrate problem solving capability

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (123 hours)

Lectures (27 hours)

Assessment

Case study (100%)

Internet of Things and Applications

Module Description

This module covers the emerging IoT technologies including concepts, platforms, networked sensors/devices/actuators, applications, as well as their up-to-date examples. Device to device (M2M) connectivity is a key technology also covered.

Intended Learning Outcomes

On completion of this module students should be able to:

a) 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.

b) Understand the interaction and communication between objects and with the environment to support decision making, improve situational awareness, and increase operational efficiency

c) Understand modern applications of smart cities and smart homes

d) Understand the concepts pertaining to the IoT systems

e) Critically analyse and reflect on the limitations and problems faced in those systems and relate some possible solutions

f) Analyse the emerging IoT platforms and devices, and the associated technologies considered in their design

g) Distinguish the requirements pertaining to different contextual information collected and exploited within different IoT scenarios

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorials (4 hours)

Assessment

Final exam (60%)

Final coursework report (40%)

Introduction to Programming and MatLab

Module Description

This module aims to provide the students with basic concepts and skills of programming in C++ and MatLab for developing digital signal processing applications and simulations.

Intended Learning Outcomes

On completion of this module students should be able to:

a) Demonstrate basic programming skills in C++ and MatLab

b) Demonstrate necessary programming techniques in digital signal processing to develop applications and simulations for media processing

c) Understand cross-platform programming structure and skills in general

d) Understand How to use digital signal processing tools and functions

e) Understand techniques used in developing applications and related numerical simulations

f) Understand the concept of advanced techniques of class, inheritance, templates

g) Identify, utilise and optimise tools, algorithms and functions for simulation of complex digital signal processing applications

h) Implement functions and algorithms in C++ and MatLab

i) Understand the use of advanced techniques of, e.g. class, inheritance, templates and optimisation

j) Gain knowledge of different algorithms, functions and their usage in DSP tool box

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorials (4 hours)

Assessment

Coursework report (100%)

Media Cloud Applications and Services

Module Description

This module aims to provide the students with an overview of the cloud technology with a special emphasis on media cloud applications, their associated challenges, and their wider use in managing media services, from processing to networking.

Intended Learning Outcomes

On completion of this module students should be able to:

a) 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

b) Understand the principles of cloud computing technology, media cloud applications, and the associated challenges

c) Understand media cloud networking and related topics

d) Understand privacy and security issues in media cloud services

e) Understand media cloud case studies and business models

f) Identify the requirements pertaining to the media applications used in cloud services

g) Understand design cloud computing architectures

h) Apply gained academic knowledge and experience in real world scenarios

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorials (4 hours)

Assessment

Final exam (70%)

Final coursework report (30%)

Cloud Technologies and Systems

Module Description

This module presents cloud computing fundamentals, architectural design specifics of the cloud based systems, as well as network virtualisation technologies.

Intended Learning Outcomes

On completion of this module students should be able to:

a) 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.

b) Understand cloud computing fundamentals

c) Understand the virtualisation of operations

d) Understand cloud architecture design

e) Comprehend the cloud computing paradigm

f) Formulate scalable computing architectures

g) Know the performance requirements of various cloud architectures

h) Apply basic cloud programming principles

i) Apply the gained knowledge in practical cloud solution design and implementation

j) Demonstrate competitiveness in cloud systems

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorials (4 hours)

Assessment

Final exam (70%)

Final coursework report (30%)

Mobile Broadband and Wireless Networks

Module Description

This module aims to provide the students with the latest mobile broadband and wireless communication technologies, including their network architectures and radio interface protocols, targeting the rapidly evolving mobile broadband communications and providing an exciting education and knowledge in the latest technologies being employed and developed.

Intended Learning Outcomes

On completion of this module students should be able to:

a) 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

b) Understand 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

c) Understand mobile broadband network architecture, radio interface protocol stacks, system performance, and data rates

d) Critically analyse and reflect on the associated limitations, the problems of current networks are facing due channel variations and relate some possible solutions

e) Design radio resource management algorithms, media applications delivery techniques over mobile broadband networks

f) Synthesise solutions to the straining of cellular networks as the point-to-point radio link approaches its theoretical limits

g) Apply their communication networks knowledge when working in industry

h) Analyse communication networks related problems and deal with their possible solutions

i) Apply the required knowledge and skills in the latest mobile broadband and wireless networks technologies

j) Present themselves competitively R&D jobs in the telecommunications sector in general, especially in the mobile broadband and wireless communications sector

Modular Weight

15 Credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorials (4 hours)

Assessment

Final exam (70%)

Final coursework report (30%)

Network Security

Module Description

This module covers the main concepts and technical details of network security properties, mechanisms, protocols and applications that are widely in use.

Intended Learning Outcomes

On completion of this module students should be able to:

a) 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

b) Understand the principles of security in computer networks, concepts, models and architectures of available network security mechanisms

c) Understand the security in the Internet and web-based applications

d) Analyse detailed concepts pertaining to the network security architectures and their use

e) Recognise limitations, and design possible solutions for existing problems in web-based applications, common security architectures & APIs

f) Demonstrate gained experience in the Internet security and security concept in web-based applications, common security architectures & APIs

Modular Weight

15 Credits

Delivery Period

Semester 2

Teaching and Learning

Guided independent study (120 hours)

Lectures (26 hours)

Tutorial (4 hours)

Assessment

Final Coursework Report (30%)

Exam (70%)

Media Design and Production

Module Aims:

The aims of this module are to: - introduce students to the building blocks of modern multimedia applications, including content production workflows, transportation and service models, perceptual quality measures, human application interaction and user experience.

Intended Learning Outcomes:

On completion of this module students should be able to:

  • Demonstrate knowledge of media applications that are in use in modern digital systems, media quality assessment and Quality of Experience (QoE) models, user interfaces and multi-modal interaction technologies.

Knowledge and Understanding

  • The principles of multimedia production and requirements of multimedia delivery over networks, in particular the Internet

  • Quality of Service parameters, classes of multimedia services, Internet Protocol suite

  • Quality of Experience, relations between QoS and QoE, user interfaces

Modular Weight

15 Credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study 120 hours Lecture 26 hours Tutorials 4 hours

Assessment

Final coursework report 30%

Final Examination 70%

Principles of Data Science

Module Aims

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.

Intended Learning Outcomes:

On completion of this module students should be able to:

Knowledge and Understanding

  • 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

Modular Weight

15 Credits

Delivery Period

Semester 1

Teaching and Learning

Guided independent study 120 hours Lecture 24 hours Supervised time in studio/workshop 6 hours

Assessment

Project Report (40%)

Presentation (20%)

Final Examination (40%)


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