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Masters Degrees (Internet Of Things)

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Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT). The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering. Read more
Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT).

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020.

The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distrbuted and networked systems; and information security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analysing real data sets.

Please note this programme is subject to validation.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msctheinternetofthings.aspx

Why choose this course?

The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:

- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.

- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.

- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.

We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.

We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Assessment

Assessment is carried out by a variety of methods including coursework, practical projects and a dissertation.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different Computer Science-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT) with a Year in Industry. Read more
Starting in 2016, and currently under development, Royal Holloway will offer a new Masters in 'The Internet of Things' (IOT) with a Year in Industry.

The Internet of Things is a new and fast expanding area in Computer Science, technology and engineering: it concerns the systems of networked devices that are now sensing, transmitting and acting on data. A series of reports place the IoT as a new and transformative technology domain that will require millions of developers by 2020.

The course will educate and train you in the key areas required for operating the generation of networks of connected devices that are starting to proliferate (smart homes, smart cities, smart cars, and so on): data analysis, storage and processing; distrbuted and networked systems; and information security.

Facilities include a laboratory where you can experiment with physical devices that can be interconnected in a network, and a cluster facility for processing and analysing real data sets.

Please note this programme is subject to validation.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msctheinternetofthingsyearinindustry.aspx

Why choose this course?

The Masters in The Internet of Things at Royal Holloway will provide you with advanced knowledge and skills in three essential and critical areas:

- Data analytics is essential for getting value from the IOT. For example, in Formula One racing there are hundreds of sensors providing thousands of data points for analysis such as tyre pressure and fuel burn efficiency, which have to be collected in real-time for very quick analysis by race engineers onsite.

- Distributed computing and systems concern technical aspects such as algorithms for distributed coordination, time-synchronisation, scalable storage, virtualisation and cloud computing technologies, as well as methodological aspects such agent-based modelling and simulation.

- Cybersecurity is another essential aspect of the IOT. Recent news such as the safety recall issued by Fiat Chrysler of 1.4m vehicles in the US after tech magazine Wired reported that hackers had taken control of a Jeep Cherokee via its internet-connected entertainment system, are examples of how privacy, safety and security are major concerns for the IOT.

During your studies you will have 24/7-access to labs equipped with a state-of-the-art cloud computing testbed and a new generation of large-scale data processing platforms (such as Hadoop and MongoDB), which will give you the opportunity to gain hands-on experience working on real-life problems in areas as diverse as social network analytics, web data mining, and botnet detection.

Department research and industry highlights

Royal Holloway is recognised for its research excellence in Machine Learning, Information Security, and Global Ubiquitous Computing.

We work closely with companies such as Centrica (British Gas, Hive), Cognizant, Orange Labs (UK), the UK Cards Association, Transport for London and ITSO.

We host a Smart Card Centre and we are a GCHQ Academic Centre of Excellence in Cyber Security Research (ACE-CSR).

Assessment

Assessment is carried out by a variety of methods including coursework, practical projects and a dissertation. The placement is assessed as part of the Year-in-Industry degree.

Employability & career opportunities

Our graduates are highly employable and, in recent years, have entered many different Computer Science-related areas, including This taught masters course equips postgraduate students with the subject knowledge and expertise required to pursue a successful career, or provides a solid foundation for continued PhD studies.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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The interaction and communication between billions of devices produces and exchanges data related to real-world smart objects. This MSc develops your skills in data mining and Big Data analysis to better understand, utilise and leverage this data. Read more
The interaction and communication between billions of devices produces and exchanges data related to real-world smart objects. This MSc develops your skills in data mining and Big Data analysis to better understand, utilise and leverage this data.

A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. This is now a reality: parts of buildings can now interact with each other, smart vehicles can be autonomously controlled and humans can interact with all these using smart phones and wearables.
This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer.

The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More ‘things’ are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of ‘things’ (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.

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A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. Read more
A futuristic connected world, where we increasingly interact with smart objects, on-body, in buildings, in cities and in distant, harsher environments, was once science fiction. This is now a reality: parts of buildings can now interact with each other, smart vehicles can be autonomously controlled and humans can interact with all these using smart phones and wearables.
This innovative Internet of Things (IoT) MSc programme will help you adapt to become one of the highly skilled and in-demand engineers who are able to fully exploit the potential that these technologies offer.

The Internet of Things (IoT) focuses on a vision of more connected, different, things (or digital devices) than in previous visions of the Internet. More ‘things’ are part of the physical world that connect to form smart environments. Humans are constantly increasing the frequency and range of ‘things’ (sensors, tags, cards, phones, actuator, wearables) they interact with in the world. Machine-to-machine interaction will allow more physical things to interact with other things without human intervention for scalability.

The MSc in IoT is designed to meet the demand for a new kind of IT specialist and skills, those who can:

-engineer new interactive products – things;
-acquire, fuse and process the data they collect from things;
-interact with, and interconnect these things as part of larger, more diverse, systems.
-The School of Electronic Engineering and Computer Science draws on its strengths of highly rated R&D centres of excellence in core subject areas comprising Networks, Cognitive Science, Antennas together with interdisciplinary centres such as the Centre for Intelligent Sensing (CIS) and the Centre for Digital Music (C4DM).

The MSc IoT is organised along 3 pathways: Data pathway, Engineering pathway, and the Intelligent Sensing pathway to enable students to focus on these different aspects of the course.

Industrial Experience

The industrial placement currently takes place towards the end of the first year for a maximum of 12 months. It is the student’s responsibility to secure their placement, the school will offer guidance and support in finding and securing the placement but the onus is on the student to secure the job and arrange the details of the placement.

Currently if you are not able to secure a placement by the end of your second semester we will transfer you onto the 1 year FT taught programme without the Industrial Experience, this change would also be applied to any visa if you were here on a student visa.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken between the taught component and the project. This will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

If you do not secure a placement you will be transferred onto the 1 year FT programme.

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The Internet of Things (IoT) explores the internetworking ever more capable electronic and computing systems that we use in our daily lives, ranging from cars and mobile telephones to washing machines and aeroplanes. Read more
The Internet of Things (IoT) explores the internetworking ever more capable electronic and computing systems that we use in our daily lives, ranging from cars and mobile telephones to washing machines and aeroplanes.

This major growth area has a large and increasing industry demand for engineers and computer scientists who possess in-depth expertise in interconnected systems, and our course equips you with the advanced knowledge and skills to work in all aspects of this area.

You develop practical skills in the design, programming and interfacing of embedded processors, as well as an understanding of current applications, technological trends and their potential impact on systems of the future. We have an international reputation for research in this field, so maintain well equipped laboratories through our links with industrial partners.

This enables us to offer you instruction in a wide range of topics including:
-Hardware/software co-design
-Task-oriented programming
-Systems integration
-Middleware
-Networking
-Human-computer interfaces
-Embedded agents and the embedded internet

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Advanced Embedded Systems Design
-Digital Signal Processing
-Group Project
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Creating and Growing a New Business Venture (optional)
-Electronic System Design & Integration (optional)
-High Level Logic Design (optional)
-Intelligent Systems and Robotics (optional)
-IP Networking and Applications (optional)
-Game Artificial Intelligence (optional)
-Data Science and Decision Making (optional)

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The Internet of Things (IoT) explores the internetworking ever more capable electronic and computing systems that we use in our daily lives, ranging from cars and mobile telephones to washing machines and aeroplanes. Read more
The Internet of Things (IoT) explores the internetworking ever more capable electronic and computing systems that we use in our daily lives, ranging from cars and mobile telephones to washing machines and aeroplanes.

This major growth area has a large and increasing industry demand for engineers and computer scientists who possess in-depth expertise in interconnected systems, and our course equips you with the advanced knowledge and skills to work in all aspects of this area.

You develop practical skills in the design, programming and interfacing of embedded processors, as well as an understanding of current applications, technological trends and their potential impact on systems of the future. We have an international reputation for research in this field, so maintain well equipped laboratories through our links with industrial partners.

This enables us to offer you instruction in a wide range of topics including:

- Hardware/software co-design
- Task-oriented programming
- Systems integration
- Middleware
- Networking
- Human-computer interfaces
- Embedded agents and the embedded internet

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

Read less
The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. Read more
The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. The focus of the course is on the three recent movements within IT industry: Cloud Computing, Big Data and Internet of Things. The focus of the course is on the three recent movements within IT industry: cloud computing, big data and the internet of things.

More about this course

The course will be based on development tools and software technologies for data, system and service development, Cloud Computing, Big Data, Internet of Things and Information Security. It will also make use of new technologies for integration of embedded devices such as Arduino and Raspberry. Students will be able to choose options from Mobile application development, cybercrime and security, data and visualisation or work related learning before embarking on the project.

The course provides preparation and training which encourages students seeking positions within the financial, retail and entertainment sectors. It incorporates materials for professional training, which prepare you for professional certification in Oracle SQL, Java Enterprise and Hortonworks Data Platform.

The extensive collaboration between the School of Computing and industries in London resulted in numerous Knowledge Transfer Partnerships and Consultancy Projects. These won a number of national awards and made London Met graduates renowned for their high starting salaries. Due to the high demand for specialists in this area, students on the course can rely on help in finding jobs both in the numerous high-tech startups as well as big financial organisations in the City of London.

A range of assessment methods is employed throughout the course:
-Case study reports and presentations
-Computer laboratory workshops
-Individual and group coursework
-Unseen examinations
-In class tests
-Individual vivas

The method of assessment for each module is clearly described in the individual module guide which is made available to the students at the start of the semester. Every module has dedicated website providing students with comprehensive learning/teaching material including workshop exercises. Module leaders use this site regularly to communicate with their students including guidelines on how prepare for assessment, supporting materials, and general feedback.

Professional accreditation

This course is not currently accredited, however, students who wish to pursue professional certification will be assisted to sit the certification exams in Databases, Java Enterprise and Apache Hadoop by Oracle and Hortonworks.

Modular structure

The course has a September start with three semesters spread over one academic year. Each semester is 60 credits with the final semester dedicated to your dissertation.

Indicative core modules:
-Information Systems Development (20 credits)
-Enterprise Software Components and Systems Development (20 credits)
-Information Security (20 credits)
-Datawarehousing and Big Data (20 credits)
-Cloud Computing and Internet of Things (20 credits)
-MSc Project (60 credits)

Indicative optional modules, choose one from:
-Mobile Applications Design and Development (20 credits)
-Cyber Crime and Security (20 credits)
-Data Analysis and Visualisation (20 credits)

Detailed information about the structure and content of the course is provided in the course handbook which will be made available to the students at the start of the course.

After the course

The employment market has an abundance of posts that require skills in the three key areas of this course - Ccloud computing, big data and internet of things. There are many exciting employment opportunities available, including:
-Enterprise Component Developer and System Integrator
-Data Warehouse and Big Data Manager
-Embedded and Mobile Devices Programmer
-Network Security and Cyber Security Consultant

Additionally, the course provides skills for seeking more traditional, but high demand industry roles:
-Software Engineer
-Internet Programmer
-System Programmer
-Database Administrator
-System Administrator

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Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Read more
Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Perhaps you will develop algorithms for utilising genome data in medicine or optimise bus routes using positioning data. Do you wonder about all the things that can be automated? Or would you like to dig deeper and become a researcher?

In the Master’s programme in computer science you can become an expert in a wide range of fields. You will have access to the focus areas of research in computer science at the University of Helsinki: algorithms, distributed or networked systems, and software engineering. You will gain lasting professional skills for specialist, design, or managerial posts in the corporate world, or for research and doctoral education, since the Master’s programme in computer science gives you the aptitude for both independent working and multidisciplinary teamwork.

This education will give you:
-The ability to advance your knowledge in the different areas of computer science.
-The skill to seek, assess, and analyse scientific information in your own area of expertise, and apply the methods of the field in an ethical and sustainable way.
-The ability to act as expert in the field, and to develop the practices and methods of your field in cooperation with specialists from other fields.
-Oral and written communication skills in an international work environment.

The quality teaching within the computer science programme at the University of Helsinki has been highlighted repeatedly in national and international teaching assessments. The student-centred, in-depth learning gives you a solid basis for life-long learning. Studying at the leading research unit for computer science in Finland offers you constant interaction with current research and insight into the development patterns in the field.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

In future, we will increasingly be using intelligent tools, consisting of networked hardware, software, services, and data. They will work based on intelligent, learning algorithms, data streams carried by communication protocols, and global infrastructures.

Within the Algorithms sub-programme, you will study effective algorithms and their application within other disciplines and in corporate life. Future IT systems will contain more and more intelligent components, the function of which will be based on complex mathematical models created automatically with the aid of machine-learning methods. The problems to be solved are computationally challenging, and the ever increasing amounts of data will create their own challenges when it comes to the efficiency of the algorithms needed.

The Networking and services sub-programme educates you to become an expert and strategic leader in the design and management of new global infrastructures. The infrastructures include Internet technologies in fixed networks and mobile environments, as well as the information and service networks built on top of them. Focus areas include the theory, data security, and trust within distributed systems, interactive systems, and the adaptability of services in a changing environment.

The Software systems sub-programme introduces you to the design and implementation of advanced software. The development of a shared software framework or platform for several software products is very demanding both technically and from the development project viewpoint. Developing such software requires technical skills, but also team- and project work, quality assurance, and communication. Within this sub-programme, you can specialise in software engineering, software technology, or information management, and study the current research questions in these areas in depth.

Selection of the Major

The sub-programmes in the Master’s programme for computer science are:
-Algorithms
-Networking and services
-Software systems

You can select any of these programmes according to your preferences at the beginning of your studies. The sub-programme determines which courses you should take.

Programme Structure

The Master’s programme comprises 120 credits, which can be completed in two years, in accordance with an approved personal study plan. The degree includes:
-80 credits of advanced courses, including shared courses within the programme, courses within the programme which support the thesis topic, the Master’s thesis (Pro gradu), 30 credits.
-40 credits of other courses from your own or other programmes. The other courses can include a work-orientation period.

Career Prospects

The employment outlook within the field is excellent. Masters of computer science find varied positions within the ICT field, both as employees and entrepreneurs. The nature of the education is also geared towards giving you an aptitude for managerial posts. All the sub-programmes provide the qualifications to find employment in a wide variety of jobs.

Software-system graduates often start their careers as software developers and designers, while network graduates often start with software at the infrastructure level (such as data communications, computation, or data entry). The skills learned in the algorithms sub-programme enable you to work on challenging tasks in various fields.

As a graduate you can find employment within small or large corporations as well as organisations in the private, public, or third sector. Due to the global nature of the field, you can find employment anywhere in the world. Taking modules from other education programmes will help you apply your computer science skills in other areas. Many jobs are based on these combinations.

Thanks to its strong scientific basis, the degree is also an excellent springboard to a doctoral programme.

Internationalization

There is a very international atmosphere within the programme, as nearly a third of the students come from abroad, and the advanced courses are instructed by international researchers.

In addition, the University of Helsinki and the Faculty of Science offer you many opportunities for international activities:
-Instruction in English within other education programmes.
-International tasks within the students’ organisations or union.
-Language courses at the Language Centre of the University of Helsinki.

You can also get information and counselling about independent international experience, such as:
-Student exchange in one of the exchange locations of the faculty or university.
-Traineeships abroad.

Computer science at the University of Helsinki is a popular exchange location, especially from Germany. Some 5-10 students come annually; exchange students have come from 14 countries in recent years. The students in the department have taken exchange periods in 16 countries in the past few years.

Research Focus

There are several multidisciplinary research projects under way at the Faculty of Science, which are being carried out in cooperation with the research institutes on the science campus and with other faculties, universities, and corporations. The role of computer science within these projects is to develop the basic methods of the discipline in strategic areas and to collaborate in depth with other disciplines.

The sub-programmes within the Master’s programme cover a considerable part of the strategic focus areas of computer science research at the University of Helsinki: algorithms, data analysis and machine learning, networking and services, software systems, bioinformatics, and data science.

Computer science is part of three Finnish Academy centres of excellence: for computational inference, inversion problems, and cancer genetics. These units represent the collaboration between computer science and other disciplines.

Computer science has coordinated the long-lived Algodan centre of excellence, which has been the basis for many current research groups.

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Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Geographical Information Systems (GIS) pathway aims to provide students with a broadly based postgraduate qualification in the field of GIS. Importantly, it offers students choice in the selection of their application area (with a range of units available). The pathway helps students to develop an in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by the application area(s) and the interactions between data, methods, people, and technology.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -
This unit provides an introduction to Geographical Information Systems (GIS) from conceptual, theoretical, and practical perspectives. Students will learn about the different methods used in geographic encoding and spatial data modelling before employing such datasets in a software environment. The unit concludes with a review of contemporary issues in GIS. Key elements of the curriculum include: Origins of GIS; Representation, Modelling and Geovisualisation; Software Skills; GIS: Today and Tomorrow.

Spatial Data Infrastructures -
Spatial data is key to any GIS project. This unit investigates how spatial data is sourced and also aims to provide students with the requisite knowledge and practical skills to identify and evaluate, against recognised national and international quality standards, spatial data for use in GI-based projects. Key elements of the curriculum include: Spatial Data; Data Standards and Infrastructures; Sourcing Spatial Data; Data Quality; Evaluating Fitness for Purpose.

Databases -
GIS are fundamentally information systems which provide specialist facilities for the creation, storage and manipulation of spatial and attribute data. Much of the functionality offered by GIS software is shared with conventional database software. Indeed, most GIS - at their core - have a conventional database management system (DBMS) around which spatial functionality has been wrapped. It is essential that GIS specialists have a thorough understanding of database theory, design and implementation. Key elements of the curriculum include: Why Databases?; Relational Databases; Critiquing Relational Databases; Implementation and Interrogation.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Methods in GIS (core) -
The concepts, theories and methods behind the application of GIS are examined in detail. The unit explores research design, data analysis and interpretation and presentation. Special focus is given to methods of spatial analysis and their implementation using GIS software. Key elements of the curriculum include: Research Design; Qualitative and Quantitative Techniques; Fundamentals of Spatial Analysis; Recent Advances in Spatial Analysis.

Two elective units are chosen from:

Distributed GIS -
This unit discusses the most vibrant and rapidly developing area of geospatial technology. Desktop GIS packages are increasingly looking like the specialist packages for serious users that, in truth, they always were. Now, for the very large majority of people who really only want to look at the location of things, we can offer WebGIS systems that deliver what they need directly into their web-browsers. This unit explains the concepts and methods of Internet GIS, development and its applications. Key elements of the curriculum include: From Desktop to Distributed GI Services; Technologies in Distributed GIS; Building the GeoWeb; Tutorials.

Environmental Applications of GIS -
GIS and related technologies such as remote sensing have been widely employed in environmental applications for almost forty years. The advent of satellite remote sensing allowed reliable synoptic data to be available to scientists who have developed numerous models. This together with the decision-making tools and spatially-referenced framework of GIS offers significant support to researchers investigating different environmental phenomena. Data from remote sensing, GPS and other sources provide a valuable input into GIS models for environmental monitoring, modelling and prediction. This unit introduces case study examples of how GIS and related technologies can be used in environmental applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Applicability and benefits of GIS; Practical Problem Solving and Evaluation using techniques such as Terrain Analysis, Multicriteria Evaluation, Landscape Metrics etc.

Remote Sensing for GIS Applications -
This unit provides students with an introduction to the principles of remote sensing and explores its role in data gathering/information extraction for GIS applications. Key elements of the curriculum include: Principles of Remote Sensing; Satellite Systems; Quantitative Data; GIS Integration.

Social Applications of GIS -
Where an investigation into social, economic, political, and cultural characteristics and phenomena is required, GIS provides a powerful tool. For social applications such as crime mapping and healthcare resource management, GIS can be used effectively to help model, monitor and enable (spatial) decision making based on existing criteria. Social systems are often highly organised and complex - GIS allows this complexity to be effectively distilled into an abstraction representing the most causally related behaviour. This unit introduces case tudy examples of how GIS can be used in social applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Exemplars of GIS use in Social Applications, e.g. health, crime and urban transportation; Evaluation of the Benefits of GIS; Practical Problem Solving techniques.

Spatial Databases and Programming -
The importance of programming and GIS as part of a larger system, which involves spatial databases, software development and programme coding, has been increasingly realised in GIS practice. This unit aims to develop your geospatial skills in building enterprise oriented databases (e.g. geo-database and server) and creating application-oriented GIS models through programming. This unit also helps you to critically evaluate the issues and trends in enterprise GIS and GIS application development from the perspective of software engineering and geospatial technology. Key elements of the curriculum include: Spatial Databases; Design and Quality; Programming; Tutorials.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).

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Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation. Read more
Jointly run by the University of Salford and Manchester Metropolitan University, UNIGIS is a three year programme, with the first two years comprising taught units, and a final year to complete a dissertation.

The Geographical Information Systems (GIS) pathway aims to provide students with a broadly based postgraduate qualification in the field of GIS. Importantly, it offers students choice in the selection of their application area (with a range of units available). The pathway helps students to develop an in-depth knowledge of the issues involved in applying GIS to solving spatial problems with an understanding of the constraints imposed by the application area(s) and the interactions between data, methods, people, and technology.

The first year of study (equivalent to PgC in GIS) involves three core units:

Foundations of GIS -
This unit provides an introduction to Geographical Information Systems (GIS) from conceptual, theoretical, and practical perspectives. Students will learn about the different methods used in geographic encoding and spatial data modelling before employing such datasets in a software environment. The unit concludes with a review of contemporary issues in GIS. Key elements of the curriculum include: Origins of GIS; Representation, Modelling and Geovisualisation; Software Skills; GIS: Today and Tomorrow.

Spatial Data Infrastructures -
Spatial data is key to any GIS project. This unit investigates how spatial data is sourced and also aims to provide students with the requisite knowledge and practical skills to identify and evaluate, against recognised national and international quality standards, spatial data for use in GI-based projects. Key elements of the curriculum include: Spatial Data; Data Standards and Infrastructures; Sourcing Spatial Data; Data Quality; Evaluating Fitness for Purpose.

Databases -
GIS are fundamentally information systems which provide specialist facilities for the creation, storage and manipulation of spatial and attribute data. Much of the functionality offered by GIS software is shared with conventional database software. Indeed, most GIS - at their core - have a conventional database management system (DBMS) around which spatial functionality has been wrapped. It is essential that GIS specialists have a thorough understanding of database theory, design and implementation. Key elements of the curriculum include: Why Databases?; Relational Databases; Critiquing Relational Databases; Implementation and Interrogation.

The second year of study (equivalent to the PgD in GIS) involves one core and two elective units:

Methods in GIS (core) -
The concepts, theories and methods behind the application of GIS are examined in detail. The unit explores research design, data analysis and interpretation and presentation. Special focus is given to methods of spatial analysis and their implementation using GIS software. Key elements of the curriculum include: Research Design; Qualitative and Quantitative Techniques; Fundamentals of Spatial Analysis; Recent Advances in Spatial Analysis.

Two elective units are chosen from:

Distributed GIS -
This unit discusses the most vibrant and rapidly developing area of geospatial technology. Desktop GIS packages are increasingly looking like the specialist packages for serious users that, in truth, they always were. Now, for the very large majority of people who really only want to look at the location of things, we can offer WebGIS systems that deliver what they need directly into their web-browsers. This unit explains the concepts and methods of Internet GIS, development and its applications. Key elements of the curriculum include: From Desktop to Distributed GI Services; Technologies in Distributed GIS; Building the GeoWeb; Tutorials.

Environmental Applications of GIS -
GIS and related technologies such as remote sensing have been widely employed in environmental applications for almost forty years. The advent of satellite remote sensing allowed reliable synoptic data to be available to scientists who have developed numerous models. This together with the decision-making tools and spatially-referenced framework of GIS offers significant support to researchers investigating different environmental phenomena. Data from remote sensing, GPS and other sources provide a valuable input into GIS models for environmental monitoring, modelling and prediction. This unit introduces case study examples of how GIS and related technologies can be used in environmental applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Applicability and benefits of GIS; Practical Problem Solving and Evaluation using techniques such as Terrain Analysis, Multicriteria Evaluation, Landscape Metrics etc.

Remote Sensing for GIS Applications -
This unit provides students with an introduction to the principles of remote sensing and explores its role in data gathering/information extraction for GIS applications. Key elements of the curriculum include: Principles of Remote Sensing; Satellite Systems; Quantitative Data; GIS Integration.

Social Applications of GIS -
Where an investigation into social, economic, political, and cultural characteristics and phenomena is required, GIS provides a powerful tool. For social applications such as crime mapping and healthcare resource management, GIS can be used effectively to help model, monitor and enable (spatial) decision making based on existing criteria. Social systems are often highly organised and complex - GIS allows this complexity to be effectively distilled into an abstraction representing the most causally related behaviour. This unit introduces case tudy examples of how GIS can be used in social applications and seeks to critically evaluate their potential value. Key elements of the curriculum include: Exemplars of GIS use in Social Applications, e.g. health, crime and urban transportation; Evaluation of the Benefits of GIS; Practical Problem Solving techniques.

Spatial Databases and Programming -
The importance of programming and GIS as part of a larger system, which involves spatial databases, software development and programme coding, has been increasingly realised in GIS practice. This unit aims to develop your geospatial skills in building enterprise oriented databases (e.g. geo-database and server) and creating application-oriented GIS models through programming. This unit also helps you to critically evaluate the issues and trends in enterprise GIS and GIS application development from the perspective of software engineering and geospatial technology. Key elements of the curriculum include: Spatial Databases; Design and Quality; Programming; Tutorials.

The final year of study (the MSc stage) requires the student to design and undertake a substantial and unique independent research project, to be presented as an academic dissertation (max. of 15,000 words).

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Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies. Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. Read more
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

This masters is unique as it provides you with a fundamental understanding of the architectures of Big Data systems as well as developing the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

This course has several different available starts and study formats - please view the relevant web-page for more information:
SEPTEMBER 2017 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02870-1PTA-1718/Big_Data_Technologies_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Full Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02860-1FTAB-1718/Big_Data_Technologies?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02870-1PTAB-1718/Big_Data_Technologies_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems. Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

Trimester A:
-Cloud Computing and Web Services
-Big Data Landscape
-Data Analytics.

Trimester B:
-Big Data Platforms
-Internet of Things
-IT Professional Issues and Project Methods.

Trimester C:
-MSc Dissertation

Work Placement

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.

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An MSc-level conversion programme for those with first degrees in numerate disciplines (e.g. Maths, Physics, others with some mathematics to pre-university level should enquire). Read more
An MSc-level conversion programme for those with first degrees in numerate disciplines (e.g. Maths, Physics, others with some mathematics to pre-university level should enquire). The programme targets producing engineers with the knowledge and skills required for working in the communications industry on programmable hardware, in particular. There is a high demand for people to fill such roles in communications and test & measure equipment vendors, and in many smaller companies developing devices for the internet of things.

The huge growth of interconnected devices expected in the Internet of Things and the goals of flexible, high-speed wireless connections for 5G mobile networks and beyond, require programmable, embedded electronics to play a vital role. From the development of small, intelligence sensors to the design of large-scale network hardware that can be functionally adaptive in software-defined networking, there is a huge demand for advanced embedded electronics knowledge and skills in the communications sector.

Visit the website https://www.kent.ac.uk/courses/postgraduate/1223/embedded-communications-engineering

About the School of Engineering and Digital Arts

The School of Engineering and Digital Arts successfully combines modern engineering and technology with the exciting field of digital media.

Established over 40 years ago, the School has developed a top-quality teaching and research base, receiving excellent ratings in both research and teaching assessments.

The School undertakes high-quality research that has had significant national and international impact, and our spread of expertise allows us to respond rapidly to new developments. Our 30 academic staff and over 130 postgraduate students and research staff provide an ideal focus to effectively support a high level of research activity. There is a thriving student population studying for postgraduate degrees in a friendly and supportive teaching and research environment.

Modules

The following modules are indicative of those offered on this programme. This list is based on the current curriculum and may change year to year in response to new curriculum developments and innovation. Most programmes will require you to study a combination of compulsory and optional modules. You may also have the option to take modules from other programmes so that you may customise your programme and explore other subject areas that interest you.

EL829 - Embedded Real-Time Operating Systems (15 credits)
EL849 - Research Methods & Project Design (30 credits)
EL893 - Reconfigurable Architectures (15 credits)
EL896 - Computer and Microcontroller Architectures (15 credits)
EL822 - Communication Networks (15 credits)
EL827 - Signal & Communication Theory II (15 credits)
EL871 - Digital Signal Processing (DSP) (15 credits)
EL872 - Wireless/Mobile Communications (15 credits)
EL873 - Broadband Networks (15 credits)
EL890 - MSc Project (60 credits)

Research areas

- Communications

The Group’s activities cover system and component technologies from microwave to terahertz frequencies. These include photonics, antennae and wireless components for a broad range of communication systems. The Group has extensive software research tools together with antenna anechoic chambers, network and spectrum analysers to millimetre wave frequencies and optical signal generation, processing and measurement facilities. Current research themes include:

- photonic components
- networks/wireless systems
- microwave and millimetre-wave systems
- antenna systems
- radio-over-fibre systems
- electromagnetic bandgaps and metamaterials
- frequency selective surfaces.

- Intelligent Interactions:

The Intelligent Interactions group has interests in all aspects of information engineering and human-machine interactions. It was formed in 2014 by the merger of the Image and Information Research Group and the Digital Media Research Group.

The group has an international reputation for its work in a number of key application areas. These include: image processing and vision, pattern recognition, interaction design, social, ubiquitous and mobile computing with a range of applications in security and biometrics, healthcare, e-learning, computer games, digital film and animation.

- Social and Affective Computing
- Assistive Robotics and Human-Robot Interaction
- Brain-Computer Interfaces
- Mobile, Ubiquitous and Pervasive Computing
- Sensor Networks and Data Analytics
- Biometric and Forensic Technologies
- Behaviour Models for Security
- Distributed Systems Security (Cloud Computing, Internet of Things)
- Advanced Pattern Recognition (medical imaging, document and handwriting recognition, animal biometrics)
- Computer Animation, Game Design and Game Technologies
- Virtual and Augmented Reality
- Digital Arts, Virtual Narratives.

- Instrumentation, Control and Embedded Systems:

The Instrumentation, Control and Embedded Systems Research Group comprises a mixture of highly experienced, young and vibrant academics working in three complementary research themes – embedded systems, instrumentation and control. The Group has established a major reputation in recent years for solving challenging scientific and technical problems across a range of industrial sectors, and has strong links with many European countries through EU-funded research programmes. The Group also has a history of industrial collaboration in the UK through Knowledge Transfer Partnerships.

The Group’s main expertise lies primarily in image processing, signal processing, embedded systems, optical sensors, neural networks, and systems on chip and advanced control. It is currently working in the following areas:

- monitoring and characterisation of combustion flames
- flow measurement of particulate solids
- medical instrumentation
- control of autonomous vehicles
- control of time-delay systems
- high-speed architectures for real-time image processing
- novel signal processing architectures based on logarithmic arithmetic.

Careers

The programme targets producing engineers with the knowledge and skills required for working in the communications industry on programmable hardware, in particular. There is a high demand for people to fill such roles in communications and test & measure equipment vendors, and in many smaller companies developing devices for the internet of things.

Kent has an excellent record for postgraduate employment: over 94% of our postgraduate students who graduated in 2013 found a job or further study opportunity within six months.

We have developed our programmes with a number of industrial organisations, which means that successful students are in a strong position to build a long-term career in this important discipline. You develop the skills and capabilities that employers are looking for, including problem solving, independent thought, report-writing, time management, leadership skills, team-working and good communication.

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

Read less
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies. Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. Read more
Study MSc Big Data Technologies and enter the expanding world of Big Data, Data Analytics and Cloud Technologies.

Available for full-time and part-time study, this course is ideal for current practitioners who have good experience in software development and wish to enhance their skills. As well as, anyone who holds an undergraduate degree in technology-based disciplines such as Computer Science, Software Engineering, Web Technologies, Computer Engineering, Mathematics and Electronics.

Unlike many data science MSc courses, this masters provides you with a fundamental understanding of the architectures of Big Data systems as well as the enhanced skills in software application development and data analytics solutions that you need.

It is our aim to increase skills in the new technology areas that business and industry are rapidly adopting. These include big data architectures, cloud computing, web technologies, data analytics (especially SAS and IBM Watson Analytics), big data computing platforms and the ever-expanding sources of data related to the Internet of Things.

Programme Description

The MSc in Big Data Technologies equips students with the fundamental knowledge and practical skills required to enter the exciting and challenging world of Big Data.

The programme takes a technology-focused approach to help students gain valuable skills that can be applied immediately within business and industry. Students will also build expertise in the key enabling technologies of cloud computing and will gain skills in one of the most exciting current areas of Big Data computing, the Internet of Things.

Work Placement

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

Assessment

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

Graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse Big Data application domains.

This programme provides key skills for those seeking employment or career enhancement as Big Data systems developers, architects and administrators, and Big Data technologist for businesses and organisations in diverse domains from engineering industries, environmental surveillance, smart cities, to service type industries.

Why Study this Programme

This programme will equip students with the fundamental knowledge and skills of the core technologies for harnessing the big data challenges, including capture, curation, storage, integration, sharing, search, analysis, mining of large distributed unstructured datasets.

Studies on this programme are supported and enhanced uniquely by the University’s internationally excellent research strengths, especially in cloud computing, cyber security, Internet of Things and cyber-physical systems.

Of parallel importance in our programme is to cultivate the professionalism which is expected within the industry.

With all the future-proofing capabilities synthesised coherently together, graduates of the MSc in Big Data Technologies will be amongst the most highly skilled ICT graduates, responding confidently to the needs and challenges in diverse big data application domains.

What you'll learn

Students complete six taught modules.

Trimester A:
-Cloud Computing and Web Services
-Big Data Landscape
-Data Analytics

Trimester B:
-Big Data Platforms
-Internet of Things
-IT Professional Issues and Project Methods

Trimester C:
-MSc Dissertation

Read less
Study MSc Cloud Computing and gain the skills you need to manage cloud platforms, virtual data centres and related IT systems. Become confident in your use of cloud infrastructures, cloud and web application development, visualisation and cloud security. Read more
Study MSc Cloud Computing and gain the skills you need to manage cloud platforms, virtual data centres and related IT systems.

Become confident in your use of cloud infrastructures, cloud and web application development, visualisation and cloud security. Learn the newest software-engineering technologies used to develop cloud applications and work with Big Data and the Internet of Things (IoT).

Glasgow Caledonian University has an international reputation for research into cloud computing and service-oriented-architectures. As a cloud computing masters student, you will benefit from industry-relevant, research-informed teaching and use products from global industry leaders such as IBM and Microsoft, as well as the most popular open-source frameworks such as Hadoop.

This course has several available start dates and study options - for more information, view the relevant web-page:
SEPTEMBER 2017 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02986-1PTA-1718/Cloud_Computing_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Full Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02985-1FTAB-1718/Cloud_Computing?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

JANUARY 2018 (Part Time) - http://www.gcu.ac.uk/ebe/study/courses/details/index.php/P02986-1PTAB-1718/Cloud_Computing_(Part-time)?utm_source=ZZZZ&utm_medium=web&utm_campaign=courselisting

Programme Description

The MSc in Cloud Computing equips students with the fundamental knowledge and practical skills required to become a practitioner in this rapidly expanding area of computing.

Worldwide opinion in the computing industry is that this decade will be dominated by advances in the architectures and technologies that deliver Cloud Computing. Cloud Computing platforms are rapidly becoming the preferred route for the development of powerful and expandable IT infrastructures for today’s businesses.

The MSc Cloud Computing programme equips you with the skills necessary to fully understand the world of cloud computing and associated aspects such as cloud security and cloud software engineering. You will also learn about how cloud computing provides support for the new technologies being used for Big Data systems and the Internet of Things.

In addition to gaining an understanding of the fundamental principles underpinning these areas, you will gain essential skills in developing software applications using these technologies. You will also study project management and research methods.

Assessment

Assessment is used to demonstrate achievement of learning outcomes. The methods of assessment include class tests, coursework assignments, practical tests and technical reports. Practical implementation and evaluation form a significant part of the assessment for the taught modules and for the work of the MSc dissertation.

Career Opportunities

The field of Cloud Computing is rapidly expanding and the need for specialists to work with these new technologies is increasing at a great rate in all areas of business and industry.

These specialists will work in roles such as cloud software architect, cloud software engineer, cloud services developer, cloud sales consultancy, cloud engineer, cloud system administrator, cloud management and cloud security. The programme also prepares students for a research-oriented career.

Placements

Students will be made aware of placement opportunities provided by our industry partners. Typically a placement would be undertaken after graduating from the MSc programme but opportunities can sometimes be made available for students to undertake their MSc Dissertation in partnership with a commercial company.

What you will learn

Students complete six taught modules; three in trimester A and three in trimester B and an MSc dissertation in trimester C.

Trimester A:
-Cloud Computing and Web Services
-Cloud Virtualisation Security
-Big Data Landscape

Trimester B:
-Cloud Software Engineering
-Internet of Things
-IT Professional Issues and Project Methods

Trimester C:
-MSc Dissertation

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The Master Program in Internet and Multimedia Engineering provides advanced education on signal, image, and video processing, networking and telematics, mobile and fixed communications systems, and applied electromagnetics. Read more

The Program in a Nutshell

The Master Program in Internet and Multimedia Engineering provides advanced education on signal, image, and video processing, networking and telematics, mobile and fixed communications systems, and applied electromagnetics.

We build high-level ICT professionals in Internet, Multimedia, and Telecommunication Engineering, with vision and knowledge on the current technology evolution, and ready to face the challenges of the Internet-of-Things, Big Data, Smart Systems and Machine Learning era.

Our program has a strong characterization toward Internet engineering on one side, and toward signal processing and multimedia systems, either networked or stand-alone, on the other side.
Students learn how to address the design, management, and operation of distributed communication and processing architectures and multimedia applications, in mobility and over heterogeneous networks, with diverse levels of smartness and interactivity.

The program has 2-year duration, includes 120 ECTS, and finishes with the defense of a master thesis. Classes start in the second half of September.

The University of Genoa offers scholarships and accommodation to its students through the ALFA Liguria regional authority. Dedicated grants for the students of this program may be provided in each academic year.
Visit our website to learn more about the scholarships and the services that the University of Genoa can provide: http://www.ime.politecnica.unige.it

For Your Job and Career

Graduates’ professional opportunities include all companies needing ICT expertise for development, deployment, production, and management. The high-level scientific and technological background we offer also allows graduates to be strong candidates in Ph.D. and 2nd-level master applications.

Owing to the extensive research activity of the faculty people involved in the program, the courses are always up to date with the latest scientific and technological achievements. Professors and Research Staff are strongly involved in research projects funded by the European Commission, the European Space Agency, the Italian Space Agency, universities around the world, and many other institutions and private companies.

How to apply?

If you have a Bachelor (or equivalent) degree in ICT and wish to pursue your studies, you are very welcome.

For all foreign students: you are strongly advised to upload your curriculum, titles, and qualifications to the program website (http://www.ime.politecnica.unige.it) for a pre-evaluation, and contact the program coordinator, , asap.
Visas are generally required for non-EU students. No visa is necessary for EU students.

For students coming from outside EU: you MUST also pre-enroll to this program at the Italian embassy/consulate in your country. This step is MANDATORY for non-EU students.
DEADLINE FOR PRE-ENROLLMENT IS JULY 20, 2017.
Consular and visa procedures may be time-consuming, and acting ahead is strongly advisable.

Learn more on

http://www.ime.politecnica.unige.it

Contacts

Prof. Franco Davoli, , Master Program Coordinator
Management Office:
Admin Foreign Students Office of the University of Genoa:

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