Masters Degrees (Distributed)

About the course

This course runs in Germany.

This course covers a range of essential topics related to distributed computing systems. Yet these modules are not isolated; each one takes its place in the field in relation to others.

The emphasis in the course is to build the connections between topics, enabling software engineers to achieve co-operation between distinct autonomous systems under constraints of cost and performance requirements.

The course is suitable for:

Recent graduates in Electrical or Electronic Engineering or Computer Science, who wish to develop their skills in the field of distributed computing systems.
Practicing engineers and computer professionals who wish to develop their knowledge in this area.
People with suitable mathematical, scientific or other engineering qualifications, usually with some relevant experience, who wish to enter this field.

Aims

The past few years have witnessed that Grid computing is evolving as a promising large-scale distributed computing infrastructure for scientists and engineers around the world to share various resources on the Internet including computers, software, data, instruments.

Many countries around the world have invested heavily on the development of the Grid computing infrastructure. Many IT companies have been actively involved in Grid development. Grid computing has been applied in a variety of areas such as particle physics, bio-informatics, finance, social science and manufacturing. The IT industry has seen the Grid computing infrastructure as the next generation of the Internet.

The aim of the programme is to equip high quality and ambitious graduates with the necessary advanced technical and professional skills for an enhanced career either in industry or leading edge research in the area of distributed computing systems.

Specifically, the main objectives of the programme are:

To critically appraise advanced technologies for developing distributed systems;
To practically examine the development of large scale distributed systems;
To critically investigate the problems and pitfalls of distributed systems in business, commerce, and industry.

Course Content

Compulsory Modules:

Computer Networks
Network Security and Encryption
Distributed Systems Architecture
Project and Personal Management
High Performance Computing and Big Data
Software Engineering
Embedded Systems Engineering
Intelligent Systems
Dissertation

Special Features

Electronic and Computer Engineering is one of the largest disciplines in the University, with a portfolio of research contracts totalling £7.5 million, and has strong links with industry.

The laboratories are well equipped with an excellent range of facilities to support the research work and courses. We have comprehensive computing resources in addition to those offered centrally by the University. The discipline is particularly fortunate in having extensive gifts of software and hardware to enable it to undertake far-reaching design projects.

We have a wide range of research groups, each with a complement of academics and research staff and students. The groups are:

Media Communications
Wireless Networks and Communications
Power Systems
Electronic Systems
Sensors and Instrumentation.

Women in Engineering and Computing Programme

Brunel’s Women in Engineering and Computing mentoring scheme provides our female students with invaluable help and support from their industry mentors.

Accreditation

Distributed Computing Systems Engineering is accredited by the Institution of Engineering and Technology (IET).

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Overview

Modern devices often rely on data that is distributed across multiple computers, whether closely located or more distant. Developing software for such systems offers many benefits, but it also poses new challenges to be overcome, particularly in guaranteeing the security and robustness of the communication between devices.

The MSc at Hull is designed to enable you to overcome those challenges. It prepares you to exploit the extraordinary potential of distributed systems, both in terms of storage capacity and processing power, whilst being aware of the unique constraints and security problems they introduce. You will have access to cutting-edge equipment and facilities, and you will finish with a much greater understanding of how software development needs to adapt to the unique environment of a distributed system. These skills and knowledge are highly sought-after in an industry that is increasingly adopting new distributed technology, such as cloud-based solutions.

The course begins in September each year and lasts twelve months. There are two trimesters of taught modules, followed by an individual dissertation project during the third trimester. There is an option to take an extra trimester – either immediately before or after the dissertation – gaining industrial experience through a module based in SEED, our software development unit working with commercial clients and software. This is unique to Hull.

The Department of Computer Science creates an excellent experience for students, with a supportive student community. We have an international reputation for our research activities, with a strong record of industrial and public grant funding. We are also affiliated with Microsoft’s DreamSpark programme, which allows you to access the latest Microsoft operating systems and development software for home use. Once registered with the department, you can download the software free of charge.

Industrial Experience

There is the option to take an Industrial Experience variant, with the opportunity to extend the period of study by a trimester, to gain experience of working alongside commercial software developers within a commercial software development facility on site (SEED), promoting real-world applications of the advanced concepts met in the course.

Study

The MSc Computer Science (Security and Distributed Computing) programme supports students with various levels of computing and programming practice experience, with material that supports the transition into the postgraduate environment. There is also suitable content on professional skills and the importance of ethics for practising computer scientists.
As a route into research, the programme supports the development of postgraduate technical skills, alongside critical research, analysis and planning activities.
In lectures you’ll benefit from a range of techniques, from interpreting complex ideas through interactive discussions, to live programming or other problem-solving demonstrations.
Core modules
• Oriented Design and Development Using C++
• Component-based Architecture
• Network Security
• Development Project
• Distributed Applications
• Trustworthy Computing
Optional modules
• Computer Science Software Development Practice (pass/fail module)
• Dissertation (There is the option of taking this module either in trimester 3 or trimester 4, depending on whether you take the Industrial Experience module.)
• The Industrial Experience optional 60-credit single trimester module allows students to gain significant commercial experience.

Teaching and learning

We place a strong emphasis on practical laboratory sessions. This will significantly develop your core computer science skills, and enhance your employability through exposure to commercial projects.
As teamwork plays a key role in commercial software development and has great value as an employable skill, group work is used in a number of modules.

Assessment

Practical coursework is the main form of assessment, and you will design, build and test software solutions to a variety of problems. This is complemented by written coursework.
The largest assessment is the dissertation, which is based on the work done in the third trimester (or fourth, depending on your option choices) and documented in a report of up to 20,000 words.

Careers

The MSc Computer Science (Security and Distributed Computing) is designed to open up pathways to postgraduate research, as well as careers in a wide range of areas within your discipline. The industrial placement option will enable you to practise your skills and knowledge of computer science ‘in situ’, giving you a useful insight and advantage when it comes to starting your career.
We have a range of inspirational extra-curricular activities including the Three Thing Game, Imagine Cup Worldwide Software Development Challenge, Really Useful Seminars and Global Game Jam. They are designed to boost your CV and employability, and taking part costs very little.

Our graduates typically gain roles including: Applications Developer, Business Systems Analyst, Computer Analyst, Computer Programmer, Computer Operations Manager, Data Management Analyst, Database Assistant, Developer Support Engineer, Games Programmer, Games Programmer (Engine design), Information Manager, IT Design, IT Systems Manager, IT Technician, IT user Support, Mobile Developer, Operations Director, Software Designer, Software Developer, Software Engineer, Solutions Developer, Systems Engineer, Technical Sales, Technical Specialist, Web Developer.

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Distributed and networked computation is now the paradigm that underpins the software-enabled systems that are proliferating in the modern world, with huge impact in the economy and society, from the sensor and actuator networks that are now connecting cities, to cyberphysical systems, to patient-centred healthcare, to disaster-recovery systems.

This new Masters course will educate and train you in the fundamental principles, methods and techniques required for developing such systems. Given the number of elective modules offered, you will be able to acquire further skills in one or more of Cloud Computing, Data Analytics 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 configured to run the Hadoop MapReduce stack.

A Year in Industry option is also available for this course.

See the website https://www.royalholloway.ac.uk/computerscience/coursefinder/msc-distributed-and-networked-systems.aspx

Why choose this course?

This course will develop a highly analytical approach to problem solving and a strong background in distributed and networked systems, fault-tolerance and data replication techniques, distributed coordination and time-synchronisation techniques (leader-election, consensus, and clock synchronisation), data communication protocols and software stacks for wireless, sensor, and ad hoc networking technologies in virtualisation, and cloud computing technologies.

The course develops an advanced understanding of principles of failure detection and monitoring, principles of scalable storage, and in particular NoSQL technology.

Students will acquire the ability to:
- apply well-founded principles to building reliable and scalable distributed systems
- analyse complex distributed systems in terms of their performance, reliability, and correctness
- design and implement middleware services for reliable communication in unreliable networks
- work with state-of-the-art wireless, sensor, and ad hoc networking technologies
- design and implement reliable data communication and storage solutions for wireless, sensor, and ad hoc networks
- detect sources of vulnerability in networks of connected devices and deploy the appropriate countermeasures to information security threats.
- enforce privacy in “smart” environments
- work with open source and cloud tools for scalable data storage (DynamoDB) and coordination (Zookeeper)
- work with modern network management technologies (Software-Defined Networking) and standards (OpenFlow)
- design custom-built application-driven networking topologies using OpenFlow, and other modern tools
- work with relational databases (SQL), non-relational databases (MongoDb), as well as with Hadoop/Pig scripting and other big data manipulation techniques.

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).

Course content and structure

You will take taught modules during Term One (October to December) and Term Two (January to March). Examinations are held in May. If you are in the Year-in-Industry pathway, you then take an industrial placement, after which you come back for your project/dissertation (12 weeks).

Core course units are:
Interconnected Devices
Advanced Distributed Systems
Wireless, Sensor and Actuator Networks
Individual Project

Elective course units are:

Computation with Data
Databases
Introduction to Information Security
Data Visualisation and Exploratory Analysis
Programming for Data Analysis
Semantic Web
Multi-agent Systems
Advanced Data Communications
Machine Learning
Concurrent and Parallel Programming
Large-Scale Data Storage and Programming
Data Analysis
On-line Machine Learning
Smart Cards, RFIDs and Embedded Systems Security
Network Security
Computer Security
Security Technologies
Security Testing
Software Security
Introduction to Cryptography

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 [department]-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.

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Overview

Electrical energy networks and the methods by which electrical energy is generated are changing. Generating resources are being connected to the distribution network rather than the transmission network. These distributed resources include renewables and conventional thermal plant. The techniques used to generate electrical power are also changing. This includes increased renewable generation, primarily from wind resources, and embedded generation which includes co-generating (thermal and electrical) plant. The integration of distributed generation within existing networks causes particular problems in the control of power flow, power quality and protection. Also exploiting renewable resources requires novel and innovative engineering.

Graduates of this course will develop critical understanding of the significant changes electrical energy networks and the methods of electrical generation are currently, and for the foreseeable future, engaged in and the implications of these changes. This course will develop graduates of a calibre capable of developing and implementing creative solutions to the problems encountered in renewable energy and distributed generation and the supply of electrical energy in general.

See website http://www.postgraduate.hw.ac.uk/prog/msc-renewable-energy-and-distributed-generation/

- Scholarship Opportunity
Scottish Funding Council has made available 20 scholarships covering fees only to students with Scottish backgrounds. These will be spread over all our Energy based MSc programmes. There is no separate application process for this. If you are eligible, you will be considered automatically. You will be notified through the summer if you have been selected.

Programme content

Core courses
- Foundations of Energy
- Electrical Power Systems
- Renewable Energy Technologies
- Research Methods Critical Analysis and Project Planning
- Distributed Generation
- Project Phase 1
- Renewable Generation and Conversion
- Demand Management and Energy Storage
- MSc Project

English language requirements

If your first language is not English, or your first degree was not taught in English, we’ll need to see evidence of your English language ability. The minimum requirement for English language is IELTS 6.5 or equivalent. We offer a range of English language courses (See http://www.hw.ac.uk/study/english.htm ) to help you meet the English language requirement prior to starting your masters programme:
- 14 weeks English (for IELTS of 5.5 with no more than one skill at 4.5);
- 10 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills);
- 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)

Find information on Fees and Scholarships here http://www.postgraduate.hw.ac.uk/prog/msc-renewable-energy-and-distributed-generation/

Find out how to apply here http://www.hw.ac.uk/student-life/how-to-apply/postgraduate.htm

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The MSc in Internet and Distributed Systems is a taught course oriented towards graduates from computing and related subjects who want to extend their knowledge and expertise. It provides an opportunity to acquire the more advanced skills required for a career in Internet and Intranet-based information systems. The first module addresses advanced Java programming, and subsequent modules cover new technologies and related theory.

This is a full time course and students will be registered for 12 months

By the end of the programme

You will have learned in depth, through lectures and practical laboratories, a range of key computing technologies needed for modern systems. These include:

-Systematic and advanced-level design abilities using modern internet-related software tools and techniques
-Presenting work in written and oral forms that are aligned to modern industrial documentation and reporting standards and needs
-An advanced level of the theory, principles and practice of internet and distributed computing and directly related technical topics
-The technical management and industry-standard software lifecycle-based approach to designing internet and distributed systems
-Advanced theoretical and practical appreciations of modern approaches to the software engineering required for internet and distributed application, including both product and process technologies

The course will equip you with knowledge of modern technology for a career as a technical expert or consultant.

How will I be assessed?

Assessment will be made based on your laboratory report of 2,500 words for each module and on your individual 20 page journal-style dissertation paper based on the final project. There are no examinations. Some dissertations may involve work with industry, or with other Departments within the University.

Some modules may involve group or team work when a single laboratory assignment report from the team will be required.

What does the course consist of?

The course is built from eight taught modules plus one project module. Each of the eight modules lasts for approximately four weeks and consists of a combination of lectures, tutorials, private study and a mini project. Each of the modules is designed to build upon the student's growing knowledge and skills.

The final project module involves the design, implementation and evaluation of a significant information systems solution.

The modules available for 2013/2014 are listed below. This list may change in subsequent years, as we update and modify the programme.

Advanced Java with UML
Software Dependability
Advances in Software Engineering
Enterprise and Distributed
Research Methods and Professional Issues
Web Technology
New Initiatives in Software Engineering
Information Search for the WWW
Dissertation

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The Internet and Distributed Systems course will help you design and build secure, scalable internet applications and reusable software components.

This is a practical course which focuses on the development of applications and the management of data in a distributed environment.

An emphasis on practical issues and the current technologies used in the development of internet and distributed systems gives you the opportunity to conduct in-depth research into a specific issue in this area of computing. This dedicated preparation for a real role offers University of Brighton students an advantage when seeking employment within the computing industry.

Scholarships

Scholarships are available for this course. Please click the link below for more information.
https://www.brighton.ac.uk/studying-here/fees-and-finance/postgraduate/index.aspx

Course structure

Modules include both teaching periods and coursework activities.

All modules are designed to support both varied learning through workshops, seminars, lectures and group exercises, and the application of developed skills through assessed coursework.

As part of the course, you will also undertake a project that explores creative solutions to internet and distributed systems-related problems.

Syllabus

You will study five core modules and select two modules from a range of options.

Optional modules allow you to specialise in the aspects of the course that interest you the most.

Modules:

Distributed Systems Principles
Internet Application Development
Enterprise Applications Development
Research Methods
Project

Options:

Algorithms and Computability
Intelligent Systems
Specification, Verification and Validation
Architectures and Integration
Interaction Design and Evaluation Process
Systems Analysis and Design
Intellectual Property Law
The Business and the Information System

Employability

Graduates take up positions such as software engineers, web developers, systems designers, database developers, and systems architects.

The research skills at the centre of the course give Brighton graduates a real advantage when approaching the job market.

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MSc in Networks and Distributed Systems

This programme has similar high-level outcomes to Advanced Computer Science, while offering the opportunity to focus on topics in Networks and Distributed Systems, including for example, network protocols and technologies, mobile systems, multimedia and distributed systems.

All MSc students take a Core Skills module, covering essential academic skills. Students taking the specialist Computer Science or HCI degrees also take an Object-Oriented Programming module, to provide a common practical foundation for coursework in the modules that follow. Students on specialist degree programmes take a number of designated modules appropriate to the particular field. With careful module choice, it is sometimes possible to keep open several different specialist options until the second semester.

During the final three months of the course, you undertake an extended project agreed with staff, culminating in writing a substantial individual dissertation. Students on specialist degrees undertake a project in the chosen area.

Careers

Taught postgraduate degrees in Computer Science produce graduates who are well equipped to pursue careers at the forefront of technology. Our recent graduates have gone on to work in a variety of global, commercial, financial and research institutions, including: Microsoft, Hewlett Packard, Royal Bank of Scotland, Skyscanner, Avaloq, Amadeus, Amazon, Atlas, Avaloq, Barclays, BP, BT, Capricorn Ventis, FactSet, Hailo, Hitachi Data System, Microsoft, OpenBet and Symantec. We also have a number of students who have stayed on to study for a PhD in the School.

For up-to-date scholarship information, see: http://www.st-andrews.ac.uk/study/pg/fees-and-funding/scholarships/taught/

Features

* You will be part of a cohort of around 60 taught postgraduate students admitted every year who enjoy many opportunities to work and socialise together.

* You will benefit from the School’s emphasis on excellence in both teaching and research. You will learn and study in our two adjacent purpose-built buildings, in daily contact with our 50+ academic and research staff, as well as undergraduate and research students. Larger lectures take place in nearby science buildings.

* You will experience a wide variety of teaching methods in addition to traditional lectures, with an emphasis on personal and small group teaching.

* You will have 24-hour access to well equipped laboratories, including high-speed wireless Internet access throughout.

* You will have the opportunity to broaden your knowledge beyond your lecture courses by attending the departmental seminar series and distinguished lecture programme and the dedicated Systems and Human Computer Interaction seminar series.

* You will be a part of SICSA, the Scottish Information and Computer Science Alliance, of which St Andrews is a founding partner, giving access to specialised events and training and expert staff at all of Scotland’s universities.

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The MSc in Internet and Distributed Systems is a taught course oriented towards graduates from computing and related subjects who want to extend their knowledge and expertise. It provides an opportunity to acquire the more advanced skills required for a career in Internet and Intranet-based information systems.

Course Structure
The course is built from eight taught modules plus one project/dissertation module. Each of the eight modules lasts for approximately four weeks and consists of a combination of lectures, tutorials, private study and a mini project. Each of the modules is designed to build upon the student's growing knowledge and skills.

The final project module involves the design, implementation and evaluation of a significant information systems solution.

Core Modules
- Advanced Java with UML
- Software Dependability
- Advanced Principles of Distributed Computing
- Enterprise and Distributed Systems
- Research Methods and Professional Issues
- Web Technology
- Digital Imaging
- Information Search for the WWW
- Dissertation.

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The MSc Distributed Systems and Networks gives you strong technical expertise and practical skills in designing, managing and evaluating computer networks, distributed systems and system security, helping you develop a highly successful specialism.

Why choose this course?

Gain a specialised master's degree in one year full-time or at a pace that suits you through online studyFlexible online learning allows you to fit study around your other commitments, without travel and accommodation costs.Gain an internationally-recognised master's degree from the UK's University of Hertfordshire.Benefit from the same academic standards and quality control procedures as our equivalent on campus courseWe have an excellent track record in research, with half of our outputs rated at world-leading or internationally excellent in REF 2014, the most recent national assessment.

Careers

Our online masters programme is designed to give graduates the up-to-date skills and knowledge sought after by employers, whether in business, industry, government or research.

These courses will prepare you for a career in many areas including research, IT or software development.

Teaching methods

Our online degree programmes are taught 100% online when studied independently, or supplemented by tutorial support when studied at a local study centre run by one of our online partners. Find out more about Tutored eLearning. Assessment is by coursework and online tests.

You will participate in the learning experience through the University's on-line learning environment, StudyNet. You will receive learning materials, take part in discussions and submit your assignments online. Additionally, you will receive study resources such as key textbooks and any specialist software. You will have access to the University's extensive online library facilities, or be able to visit in person if you so choose.

The amount of study time required is no different from that needed for an on campus programme. You should expect to spend at least 30 hours per week if studying full-time, and in proportion if part-time.

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The presence of software applications as components of many different kinds of systems with dynamic configurations is increasing at an unprecedented pace. The focus of this MSc is on new methods, architectures and design techniques for software systems that are able to operate, with guaranteed levels of quality of service, across heterogeneous and distributed platforms.

Start Dates
October and January each year.

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The MSc in Computing (Distributed Systems) is a full-time degree of 12 months duration starting in October. It allows graduates who have already studied Computing Science in their degree, but perhaps not exclusively, to focus their further studies in a particular area. The typical entrant to this track has a good upper-second class or a first class honours degree in a science or engineering discipline, including Computing.

The programme provides opportunities for postgraduate students to develop and demonstrate knowledge and understanding and practical skills in a wide variety of specialised topics in Computing. Students are also able to develop and demonstrate the qualities and skills needed for literature research, technical presentation and report writing. The degree provides a good foundation for PhD study.

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This course takes an immersive approach to learning both the principles and practices of computer systems with much of the material based around examples and practical exercises. Students completing this course will have a firm grasp of the current practices and directions in computer systems and will be able to design and build for example, distributed systems for the Web using Internet, Intranet and other technologies.

Programme Objectives
To provide the foundations for understanding of core ideas, methods and technologies in computer science.
To provide the technical skills and background material so that the postgraduate will be able to conduct a near state-of-the-art research or development project;
To provide the graduate with a range of specialist and transferable skills;
To provide the educational base for further professional development and lifelong learning.
Course Topics
Data networks and communications, project foundations and management tools, broadband communication systems, technologies for Internet systems, agent technologies and Artificial Intelligence, introduction to distributed systems and mobile systems, project and dissertation.

Taught Modules:

Java programming: This module provides students with an in-depth understanding of current and emerging Java programming concepts and programming variations. The module teaches the basic and advanced structures of Java and makes use of the object-oriented approach to software implementation. It also gives an in-depth understanding of advanced Java concepts in the area of user interfaces and will enable students to apply the theoretical knowledge of the Java language onto a test-case software development scenario.

Introduction to distributed systems: This module will introduce key ideas in distributed Systems and its role and application in operating systems and middleware. On completion of this module students will have an understanding of the key issues for distributed systems at OS level or as middleware, they will understand core concepts of concurrency, be able to program multithreaded and distributed applications and understand the issues and use of algorithms for transactional systems.

Data networks and communications: This module will provide an in-depth understanding of how real communication networks are structured and the protocols that make them work. It will give the students an ability to understand in detail the process required to provide an end-to-end connection.

Technologies for Internet Systems: In this module, students will be introduced to state of the art technologies and tools for Internet Systems and in particular e-commerce systems.

Agent Technologies: This module provides an in-depth understanding of technologies from Artificial Intelligence research such as machine learning, data mining, information retrieval, natural language processing, and evolutionary programming. It will look at the application of agent-oriented technologies for Artificial Life, for building Web search engines, for use in computer games and in film (such as the MASSIVE software developed for the Lord of the Rings movies), and for robotics. It will also provide an introduction to agent-oriented programming using the NetLogo programming language.

Foundations of computer graphics: This module will teach techniques, algorithms and representations for modelling computer graphics and enable students to code 2D and 3D objects and animations.

Database systems: Students completing this module will gain an in depth understanding of DBMS/Distributed DBMS architecture, functionality, recovery and data storage techniques. Students will also have a full understanding of how queries are processed and the importance of database maintenance. This module is designed to enable students to perform research into one or two areas of databases; for example, object oriented databases and deductive databases.

Project foundations and management tools: This module prepares students for their MSc research project, including reference search and survey preparation and familiarisation with project management tools.

MSc Research project: After the successful completion of the taught component of the MSc programme, students will spend the remainder of the time undertaking a research project and producing an MSc Dissertation. During this process, students will conduct project work at state-of-the-art research level and to present this work as a written dissertation. Completing a project and dissertation at this level will train students in: problem solving; researching new topics; organizing knowledge; exercising elementary time and project management skills; reporting and writing skills.

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Overview

The MSc in Smart Grid Demand Management (See http://www.postgraduate.hw.ac.uk/prog/msc-smart-grid-demand-management/ ) has been designed to progress students with an Electrical or Mechanical Engineering background to an expert in the understanding of a smart grid. By following a carefully selected set of courses covering energy resources (fossil and renewable), conversion technologies, electrical power generation, energy storage technologies, demand management, and energy economics. Graduates of this programme will be confident in all aspects of this subject. With a clear focus on smart Grid and Demand Management the programme provides;
- Knowledge and understanding of advanced scientific and mathematical principles relevant to the understanding, analysis and modelling of a smart grid.
- An understanding of fundamental facts, concepts, and technologies for demand management and energy storage.
- Knowledge and skill to apply engineering principles to design a system, component or process
- An ability to undertake independent research.
- Professional attitudes to implementation of safety and concepts embodied by sustainability.
- An ability to communicate effectively
- Familiarity with the application of relevant computer tools to the profession.

All aspects of the smart grid are integrated in a dedicated smart grid modelling course, which provides the mathematical and computational skills to model a smart grid. This course is unique to this programme and will give graduates the skills they need to enhance their career prospects.

The Scottish Funding Council has made available 20 scholarships covering fees only to students with Scottish backgrounds. 5 of these places are reserved for applicants to this programme in the first instance. The remaining places are spread over all our Energy based MSc programmes. There is no separate application process for this. If you are eligible, you will be considered automatically. You will be notified through the summer if you have been selected.

Scholarships available

We have a number of fully funded Scottish Funding Council (SFC) scholarships available for students resident in Scotland applying for Smart Grid Demand Management MSc. Find out more about this scholarship and how to apply http://www.hw.ac.uk/student-life/scholarships/postgraduate-funded-places.htm .

Programme content

Semester One - All courses are Mandatory
- B51ET Foundations of Energy
This course provides the foundations for the quantitative analysis of energy resources and conversion efficiencies through various technologies. It also places energy production and consumption into the wider field of environmental and socio-economic factors

- B51GE Renewable Energy Technologies
This course introduces the range of Renewable Energy resources together with established and emerging technologies. It provides the skills for a quantitative assessment of the Renewable Energy resources and the expected energy and power output from typical or specific installations.

- B31GA Electrical Power Systems
This course covers the operation of interconnected electrical power systems. Such interconnected power systems combine a number of different components, generators, transmission lines, transformers and motors, which must be appreciated to understand the operation of the interconnected system.

- C21EN Environmental and Energy Economics
This course introduces students to the core concepts and methods of modern economics, and environmental and energy economics in particular.

Semester Two – All courses are Mandatory
- B31GG Smart grid modeling
This course introduces the mathematical skills to model the operation of an electricity or energy network at a statistical and dynamical level, incorporating key elements of a smart grid, including technological constraints, economic drivers and information exchange.

- B31GB Distributed Generation
This course equips students with an understanding of the role of distributed generation in electrical energy networks. It provides students with an overview of distributed generation techniques and describes the contribution of distributed generation to network security. The course introduces the economics of distributed generation and the assessment of distributed generation schemes. It introduces students to the concept of intermittent sources and their contribution to capacity in electrical power systems and provides a detailed review of the reliability, fault and stability studies of distributed generation schemes.

- B51GK Demand Management and Energy Storage
This course provides students with an overview of demand-side management and its contribution to network capacity and security. It reviews energy storage technologies and their contribution to the integration of renewable generation and the operation of large-scale electrical network. It introduces students to the methods of interfacing energy storage mechanisms to electrical networks. The course describes the contribution energy storage technology can make to transportation and industry

- B81EZ Critical Analysis and Research Preparation
This course provides research training and addresses literature review skills, project planning, data analysis and presentation with a focus to critically discuss literature, and use data to support an argument.

- B31VZ MSc Project
An individual project led by a research active member of staff or an industrial partner on a topic relevant to smart grid technology, demand management technologies or approaches or smart grid/ electricity / energy systems modelling.

English language requirements

If you are not from a UKBA recognised English speaking country, we will need to see evidence of your English language ability. If your first degree was taught in English a letter from them confirming this will be sufficient. Otherwise the minimum requirement for English language is IELTS 6.5 or equivalent, with a minimum of 5.5 in each skill.

The University offers a range English language courses (See http://www.hw.ac.uk/study/english.htm ) to help you meet the English language requirement prior to starting your masters programme:
- 14 weeks English (for IELTS of 5.5 with no more than one skill at 4.5);
- 10 weeks English (for IELTS of 5.5 with minimum of 5.0 in all skills);
- 6 weeks English (for IELTS 5.5 with minimum of 5.5 in reading & writing and minimum of 5.0 in speaking & listening)
- 3 weeks English refreshers course (for students who meet the English condition for the MSc but wish to refresh their English skills prior to starting).

Find information on Fees and Scholarships here http://www.postgraduate.hw.ac.uk/prog/msc-smart-grid-demand-management/

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The MSc in Internet Systems and e-Business is a taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

Course Structure

Seven taught modules and then a dissertation module of approximately two months over the summer.

Core Modules

-Object-Oriented Programming in Java and UML
-Software Engineering for the Internet
-Distributed Computing
-Enterprise and Distributed Systems
-Research Methods and Professional Issues
-Web Technology
-Digital Imaging
-Dissertation

Learning and Teaching

The MSc in Internet Systems and e-Business is a full-time taught programme aimed at all graduates who want to train in modern computing. It provides an opportunity to acquire the skills required to pursue a career in Internet-based information systems. The programme is also suitable for those who have been in industry or other employment, possibly involving increasing recent work with IT, and now want to improve their career by means of formal training and a recognised qualification. Students are registered for 12 months from the course start date at the beginning of October each academic year. The programme starts with an introduction to programming and then covers key details of software engineering and Internet technology.

The programme consists of seven lecture/tutorial based core modules plus a research project. The two modules in Object Oriented Programming, and Web Technology, each feature 18 hours of lectures plus 8 hours of tutorial contact time.

The three modules in Digital Imaging, Distributed Computing and Research Methods and Professional Issues each feature 12 hours of lectures plus 8 hours of tutorial contact time. The lecture module on Software Engineering for the Internet has 20 hours of tutorials. The lecture module on Enterprise and Distributed Systems use a variety of teaching methods. It might typically feature 24 hours of lectures, 8 hours of tutorials and a total of 91 hours of laboratory/practical classes. The total contact hours for all 7 of these modules is therefore 96 hours of lectures, 68 hours of tutorials and 91 hours of laboratory/practical classes.

A major individual research project is also undertaken during the course under the guidance of an appropriate staff supervisor. This provides an open-ended challenge to each individual student. Regular meetings are held with the supervisor to discuss project progress and planning issues. At the end of the project students are required to submit a dissertation documenting their project work. Students should expect to have around 5 hours of contact time with their supervisors over the course of their research projects.

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The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. The curriculum is very flexible. Students can compile their individual study plans based on their background and interests. It is also a very practical program. In addition to lectures and tutorials, students will complete two seminars, one or two projects and the master thesis.

In the beginning students will choose one or two key courses. Key courses are courses which introduce the students to the research areas represented at the Department of Computer Science. The following key courses are offered:

• Algorithm Theory
• Pattern Recognition
• Databases and Information Systems
• Software Engineering
• Artificial Intelligence
• Computer Architecture

After that, students can specialize in one of the following three areas:

• Cyber-Physical Systems
• Information Systems
• Cognitive Technical Systems

Here are some examples of subjects offered in the three specialization areas:

Cyber-Physical Systems:

• Cyber-Physical Systems – Discrete Models
• Cyber-Physical Systems – Hybrid Control
• Real Time Operation Systems and Reliability
• Verification of Embedded Systems
• Test and Reliability
• Decision Procedures
• Software Design, Modeling and Analysis in UML
• Formal Methods for Java
• Concurrency: Theory and Practice
• Compiler Construction
• Distributed Systems
• Constraint Satisfaction Problems
• Modal Logic
• Peer-to-Peer Networks
• Program Analysis
• Model Driven Engineering

Information Systems:

• Information Retrieval Data Models and Query Languages
• Peer-to-Peer Networks
• Distributed Storage
• Software Design, Modeling and Analysis in UML
• Security in Large-Scale Distributed Enterprises
• Machine Learning
• Efficient Route Planning
• Bioinformatics I
• Bioinformatics II
• Game Theory
• Knowledge Representation
• Distributed Systems

Cognitive Technical Systems:

• Computer Vision I
• Computer Vision II
• Statistical Pattern Recognition
• Mobile Robotics II
• Simulation in Computer Graphics
• Advanced Computer Graphics
• AI Planning
• Game Theory
• Knowledge Representation
• Constraint Satisfaction Problems
• Modal Logic
• Reinforcement Learning
• Machine Learning
• Mobile Robotics I

We believe that it is important for computer science students to get a basic knowledge in a field in which they might work after graduation. Therefore, our students have the opportunity to complete several courses and/or a project in one of the following application areas:

• Bioinformatics
• Educational Sciences
• Geosciences
• Cognitive Sciences
• Mathematics
• Medicine
• Meteorology
• Microsystems Engineering
• Physics
• Political Sciences
• Psychology
• Sociology
• Economics

In the last semester, students work on their master’s thesis. They are expected to tackle an actual research question in close cooperation with a professor and his/her staff.

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