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Masters Degrees (Intelligence Systems)

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This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality. Read more

About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation

• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems

• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work

• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM

Course Structure

Modules

First semester (September to January)

• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP
• Research Methods

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.

The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.

Contact and learning hours

Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Industry Association

This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. Read more

About the course

Businesses now frequently possess and want to exploit huge, high volume, varied dynamic data sets, known as big data. Analytics is a subset of what has become to be called Business Intelligence. This is a set of technologies and processes used to understand data and analyse business performance.

Data Analytics MSc, developed and run with SAS, has been specifically designed to equip you with the skills and abilities to address this shortage. On successful completion of the course you will have developed your analytic and technical knowledge, and enhanced your professional skills within a Business Intelligence context.

You will be equipped with the relevant skills for employment in any field of data science (such as business intelligence, data mining, SAS programming and database design) within any target industry, with the additional option to complete a placement year in industry to further enhance your employability.

There is a growing need for professionals who can combine both analytical and software techniques in appropriate ways to allow the processing of ‘big data’. Data Analytics MSc is designed to provide these analytics and processing skills embedded within a business intelligence context.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills

• Developed to fill skills shortage
course content has been developed to enhance your employability and gain substantial knowledge and equipping you with the skills required in for the use of the SAS software as well as Hadoop Distributed File System (HDFS) in industry

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, data analytics to business problems

• Industry placement opportunity
you can chose to undertake a year-long work placement gaining valuable experience and skills as well as networking opportunities to build your industry contacts

• Excellent graduate prospects
equipped with the relevant skills for business intelligence and data mining roles including SAS Programming, Database Design and Business Intelligence

Course Structure

Modules

First semester (September to January)

• Statistics
• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP

Second semester (February to May)

• Business Intelligence Systems Application and Development
• Big Data Analytics
• Data Mining
• Research Methods

Third semester (June to September)

• Individual project

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

The course is run in association with SAS, the leading independent vendor in the business intelligence industry, and you will gain substantial SAS software skills as part of your study.

First semester modules provide you with fundamental abilities in the use of statistics so that you can gain insights and practice of using business intelligence systems and analytics programming to exploit multidimensional data sets.

In the second semester you are exposed to a variety of business intelligence systems, including those that use big data and data mining techniques. A further module prepares students to undertake an individual research project. This project module allows you to undertake extensive research into an aspect of big data, and/or provides an opportunity to develop and demonstrate your analytical and processing abilities in response to a given practical problem.

Contact and learning hours

You will normally attend 3 hours of timetabled taught sessions each week for each module undertaken during term time, for full time study this would be 12 hours per week during term time. You are expected to undertake around 24 further hours of independent study and assignments as required per week.

Industry Association

The Data Analytics MSc was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. . Read more

The Systems Analysis and Design pathway gives students an understanding of how technological information systems work, enabling them to deliver IT-based solutions, such as enterprise systems to business and organisations. You’ll learn how to manage data to deliver actionable business insight using creative, sophisticated techniques to solve complex business issues. 

Commercial focus

Students will learn how systems ‘think’ and be able to apply their understanding to systems analysis and design methodology to enable them to plan, manage and design and implement information management projects.

After you’ve graduated

Our graduates leave us prepared to take on a range of jobs in the digital economy, from systems analysis and design, to product development and management consulting. Among other organisations, our alumni join financial services firms, IT companies, consulting firms, software houses, healthcare and the public sector.

Not sure which pathway to choose from 3 choices? Apply for the one that you feel fits you better and you will be able to change the pathway within the first few weeks from your arrival to the university.

Why Henley?

  • Consistently maintain highest standards: Henley is in top 1% of business schools worldwide to hold accreditation from all three bodies in the UK, Europe and US
  • Excellent networking potential : 72,000 Henley alumni members in 150 countries
  • High calibre students: always oversubscribed, 1,000 ambitious new Masters students join Henley each year
  • Award winning campus: beautiful, green, 134 hectares, with state of the art facilities
  • World-leading faculty: widely published, frequently asked for expert comment by media and to speak at events
  • Henley is proud to be part of the University of Reading. The University is ranked within the top 200 universities worldwide (Times Higher Education World University Rankings 2016/17 and QS World University Rankings 2018) and 98% of the research is rated as being of international standard.

Course content

Compulsory modules

Optional modules

In addition students must choose two optional module from the list below.

Please note there is no guarantee that in any one year all modules will be available. 

How we teach you

A holistic approach

Effective leadership requires more than first-class business acumen. It also requires a degree of self-awareness and sensitivity. Henley is renowned for its well-researched, professional approach to this aspect of business education and all our postgraduate programmes examine this aspect of leadership - helping to create emotionally intelligent graduates who can be fully effective in their chosen careers.

How you will learn

Henley Business School enjoys a strong reputation for the practical application of business ideas and concepts, underpinned by academic excellence and the strength of our research. We offer high-quality technical skills training as well as a deep understanding of the importance of personal development for leaders, a thread that runs through all of our Masters programmes.

Our postgraduate masters programmes feature a mix of core and optional modules, allowing you to tailor your degree towards your individual personal development needs and career ambitions. You will complete up to 10 taught modules during your programme, totalling 180 credits. One module usually equates to 20 credits or 10 hours of work per week. Your week will include lectures, tutorials, workshops and personal study, with each accounting for 25% of your time on average. This stimulating mix of lectures and interactive tutorials provides you with the opportunity to discuss and explore the subject material in depth with your lecturers and fellow students. You will be introduced to the latest thinking and research findings and be able to challenge some of those that have created it. You will also explore real-world issues and tackle current business challenges, and interact with guest lectures and speakers from industry, giving you the opportunity to test, extend and refine your knowledge and skills.

How we assess you

You will learn and be assessed through a wide variety of teaching methods which vary depending on your chosen Masters programme. These include online materials and multimedia content, guest lectures, individual and group assignments, case studies, field visits, dealing room simulations, presentations, applied projects, consultancy work and examinations.

On average examinations form around 70% of the assessed work with the remaining 30% coming from coursework, including a written dissertation or project depending on your chosen programme. The exam period falls between April and June in the summer term, with students taking an average of 5 or 6 exams. Graduation normally takes place in December.

Ongoing support

While postgraduate students are self-motivated and determined individuals, study at this level can present additional pressures which we take seriously. Lecturers are available to discuss the content of each module and your personal tutor can meet with you regularly to discuss any additional issues. Full-time support staff are also available to help with any questions or issues that may arise during your time at Henley

Careers and accreditations

Each pathway of our MSc Information Management is designed to give a rigorous academic understanding of real-life and current business issues. Graduates of the Systems Analysis and Design pathway will be equipped to manage and utilize information resources in various business fields including business & management, construction management and healthcare through a thorough understanding of systems analysis and design methodology.

A number of our students join our PhD programmes each year.

Students who pass the module INMR66 – Business Domain and Requirements Analysis with a mark of 60 or above will be eligible for the British Computer Society Professional Certificate in Business Analysis Practice. 



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Information drives businesses. Without it, they cease to function. Whether for day-to-day operations or strategic decision-making, there is an imperative to record, manage and use information. Read more
Information drives businesses. Without it, they cease to function. Whether for day-to-day operations or strategic decision-making, there is an imperative to record, manage and use information.

The Master of Business Information Systems (MBIS) prepares you for careers in systems design, planning and management, as well as knowledge and information management. You gain the expertise to design solutions to business information problems, and to offer strategic guidance to organisations that will enhance their management and governance.

As an MBIS graduate, you may find work as a business analyst, systems analyst, consultant, project leader, IT manager, information management specialist, archivist or librarian.

The MBIS caters to students from a variety of backgrounds. If you do not have previous training in IT, the course includes preparatory units that will give you the IT knowledge needed for the remainder of the course. However, if you already have a degree in IT, you can accelerate your study with an exemption from these preparatory units, or perhaps study further elective units in areas of your choice.

The course gives you an opportunity to explore a wide range of areas, from enterprise systems, information systems design, and business intelligence to IT strategy and project management.

If your interests lie in information and knowledge management, you can pursue a specialisation in Archives and Recordkeeping or Librarianship and Information Science, accredited by professional organisations.

In your final semester, you may take part in an Industry Experience program, working in a small team with industry mentors to develop entrepreneurial IT solutions. Or you may undertake a minor-thesis research project, investigating cutting-edge problems in BIS under the supervision of internationally recognised researchers.

High-achieving students who complete the research component may progress to further research study.

The MBIS is accredited with the Australian Computer Society (ACS).

Visit the website http://www.study.monash/courses/find-a-course/2016/business-information-systems-c6003?domestic=true

Overview

The course has a general form and also provides students with the option to specialise in archives and recordkeeping, and library and information science. Students may study the general form, complete either specialisation or combine both specialisations. The specialisations are not available to Malaysia, on-campus students.

Career opportunities

The highly flexible course structure opens up a variety of career opportunities. Graduates of the program will be expected to play leading professional roles in the field locally and overseas.

Please select a specialisation for more details:

Archives and recordkeeping

Records managers and archivists ensure that vital records of social and organisational activity are created, managed and made available to business for accountability, corporate memory, enterprise knowledge and cultural purposes. Work settings include most major private and public sector organisations, and archival institutions. Knowledge managers are concerned with developing strategies and processes for managing organisational knowledge and knowledge flows to achieve organisational goals, enhance performance and add value. A particular concern is developing an environment conducive to the creation, sharing and application of organisational knowledge, and systems that support these processes.

Business information systems studies

The general form of the course gives students the skills and knowledge to solve organisational information problems. The course caters for students who would like to be business analysts, information systems consultants and IT managers. Students will learn about information technology principles, systems analysis and design, enterprise architecture and systems, IT management and governance and project management. Students can select from a range of business information systems units to focus their studies in several areas of interest including business intelligence, user experience design and business process modelling.

Library and information science

Librarians and information specialists manage information and provide information services to clients in a wide range of contexts. They are concerned with analysing information needs, solving information problems, evaluating information sources, organising information, synthesising information into targeted information products, and training clients in the use of information products, services and systems. They work for commercial, government and community sector organisations, for information consultancies and as independent information brokers.

Course Structure

The course is structured in three parts, A, B and C. All students complete Part B (core studies). Depending upon prior qualifications, you may receive credit for Part A (foundation studies) or Part C (advanced studies) or a combination of the two.

Note that if you are eligible for credit for prior studies you may elect not to receive the credit.

PART A. Foundations for advanced business information systems
These units provide an introduction to information systems and business concepts, including system design and analysis as applied in professional practice. You will learn basic software programming and development concepts and database technology.

These units are intended for students whose previous qualification is not in a cognate field.

PART B. Core Master's study
These studies draw on best practices within business information systems to gain critical understanding of the theories and practice relating to information systems and business process design, IT strategy, IT governance, IT management and related issues. Your study will focus on project management as well as a choice of several areas of enterprise IT and information management practice.

PART C. Advanced practice
The focus of these studies is professional or scholarly work in the broad realm of business information systems.

You have two options.

The first is a minor thesis research program, consisting of a research project and a research methods training unit. Students wishing to use this Masters course as a pathway to a higher degree by research should take this first option.

The second option is a program of coursework involving advanced study and an Industry experience studio project.

Students completing the combined specialisation Archives and Recordkeeping/Library and Information Science complete the industry experience program.

Students admitted to the course, who have a recognised honours degree in a discipline cognate to information systems, will receive credit for Part C, however, should they wish to complete a research project as part of the course they should consult with the course coordinator.

For more information visit the faculty website - http://www.study.monash/media/links/faculty-websites/information-technology

Find out how to apply here - http://www.study.monash/courses/find-a-course/2016/business-information-systems-c6003?domestic=true#making-the-application

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From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. Read more

From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.

Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.

You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.

From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.

Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.

Want to find out more about your modules?

Take a look at the Advanced Computer Science (Intelligent Systems) module descriptions for more detail on what you will study.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Bio-Inspired Computing 15 credits
  • Knowledge Representation and Reasoning 15 credits
  • Image Analysis 15 credits

Optional modules

  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Machine Learning 10 credits
  • Intelligent Systems and Robotics 20 credits
  • User Adaptive Intelligent Systems 10 credits
  • Data Mining and Text Analytics 10 credits
  • Combinatorial Optimisation 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Big Data Systems 15 credits
  • Data Science 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.

Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Assessment

You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.

Recent projects for MSc Advanced Computer Science (Intelligent Systems) students have included:

  • Object-based attention in a biologically inspired network for artificial vision
  • Advanced GIS functionality for animal habitat analysis
  • Codebook construction for feature selection
  • Learning to imitate human actions

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Computing is an essential component of nearly every daily activity, from the collection, transformation, analysis and dissemination of information in business, through to smart systems embedded in commodity devices, the image processing used in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.

This programme will give you the practical skills to gain entry into many areas of applied computing, working as application developers, system designers and evaluators; but further, links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well prepared for a range of careers, as well as further research at PhD level.

Graduates have found success in a wide range of careers working as business analysts, software engineers, wed designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.



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Created in the context of the rapid advancement of the renewable-energy industry, this Masters programme investigates both renewable energy and systems technologies. Read more

Created in the context of the rapid advancement of the renewable-energy industry, this Masters programme investigates both renewable energy and systems technologies.

It is designed to build your competence and confidence in the R&D and engineering tasks that are demanded of scientific engineers in the renewable and sustainable-development sector.

Programme structure

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation.

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Facilities, equipment and academic support

Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.

As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects. In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications.

Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.

The work related to the MSc dissertation can often be carried out in parallel with, and in support of, ongoing research. In the past, several graduates have carried on their MSc research to a PhD programme.

Career prospects

Engineers and scientists are increasingly expected to have skills in information systems engineering and decision-support systems alongside their main technical and/or scientific expertise.

Graduates of this programme will be well prepared to help technology-intensive organisations make important decisions in view of vast amounts of information by adopting, combining, implementing and executing the right technologies.

Educational aims of the programme

This programme investigates both renewable energy and systems technologies in order to produce scientific researchers and engineers who are competent in the R&D and engineering tasks applicable to the renewable energy and sustainable development sectors.

Its primary aims lie in developing a global understanding of the major types of renewable energy technologies, in-depth knowledge of the technology for biomass-based renewable energy, and knowledge and skills in systems modelling and optimisation.

A balanced curriculum will be provided with a core of renewable energy and systems engineering modules supplemented by a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.

Programme learning outcomes

Knowledge and understanding

The programme aims to develop the knowledge and understanding in both renewable energy and systems engineering. The key learning outcomes include:

  • State-of- the-art knowledge in renewable energy technologies, in terms of: the sources, technologies, systems, performance, and applications of all the major types of renewable energy; approaches to the assessment of renewable energy technologies; the processes, equipment, products, and integration opportunities of biomass-based manufacturing
  • State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems; mathematical optimization and decision making; process systems design
  • Advanced level of understanding in technical topics of preference, in one or more of the following aspects: process and energy integration, economics of the energy sector, sustainable development, supply chain management

Intellectual / cognitive skills

The programme aims to strengthen cognitive skills of the students, particularly in the aspects of problem definition, knowledge and information acquiring, synthesis, and creativity, as collectively demonstrable through the successful completion of the research dissertation. The key learning outcomes include the abilities to:

  • Select, define and focus upon an issue at an appropriate level
  • Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
  • Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills

The programme primarily aims to develop skills for applying appropriate methods to analyze, develop, and assess renewable technologies and systems. The key learning outcomes include the abilities to:

  • Assess the available renewable energy systems
  • Design and select appropriate collection and storage, and optimise and evaluate system design
  • Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of renewable energy technologies and systems

Key / transferable skills

The programme aims to strengthen a range of transferable skills which are relevant to the needs of existing and future professionals in knowledge intensive industries irrespective of their sector of operation. The key learning outcomes include the further development of the skills in the following areas:

  • Preparation and delivery of communication and presentation
  • Report and essay writing
  • Use of general and professional computing tools
  • Collaborative working with team members
  • Organizing and planning of work
  • Research into new areas, particularly in the aspect of literature review and skills acquisition

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.



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Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms. Read more
Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms.

You focus on linking artificial intelligence techniques to real-world applications and projects, including artificial intelligence in business and financial applications, artificial intelligence in games, artificial intelligence in biological sciences and medicine, and artificial intelligence in industrial control.

Our unique course covers the theoretical, applied and practical aspects of artificial intelligence, with an emphasis on:
-Genetic algorithms
-Evolutionary programming
-Fuzzy systems
-Neural networks
-Connectionist systems
-Hybrid intelligent systems

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

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.

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 course opens up employment opportunities designing intelligent software – in banks and businesses designing prediction systems, in computer games companies designing adaptive games, in pharmaceutical companies designing intelligent systems that model a given drug and its various interactions, and in heavy industries designing control systems.

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

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

Artificial Intelligence - MSc
-MSc Project and Dissertation
-Machine Learning and Data Mining
-Professional Practice and Research Methodology
-Group Project
-Intelligent Systems and Robotics
-Computer Vision (optional)
-Game Artificial Intelligence (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Natural Language Engineering (optional)
-Artificial Neural Networks (optional)
-Virtual Worlds (optional)
-Creating and Growing a New Business Venture (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)

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Enterprise Systems Management is an innovative MSc degree course designed for those who want to pursue careers as managers and leaders in implementing technology-based information systems solutions to achieve business excellence. Read more
Enterprise Systems Management is an innovative MSc degree course designed for those who want to pursue careers as managers and leaders in implementing technology-based information systems solutions to achieve business excellence.

What's covered in the course?

To understand the design of Enterprise Systems and the benefits, you will firstly gain a broader understanding of systems thinking. Case studies and live project briefs underpin reinforcement of the learning and teaching.

The modules studied in this highly rigorous course are directly relevant to industry's current and expected future needs. You will be challenged to think outside the box, and apply knowledge and skills to provide robust and innovative solutions to a range of business problems.

You will study at our Enterprise Systems Centre at the City Centre Campus, where you will learn how modern management information systems are structured, how they are managed and the issues in integrating them to support effective management of robust business processes.

You will also be given access to SAP systems based on a virtual industry. This practical element of your programme provides an applied learning experience to develop knowledge in enterprise systems.

The Master's Project module will give you the opportunity to apply your skills and knowledge to practical problems and investigate an enterprise systems management research topic.

Why choose us?

-The course explores systems and activities within an enterprise that bring together processes, people and technology to help streamline operations to gain competitive advantages, improved performance and reduced operational costs, as well as implementing efficient business processes and improving real-time decision-making capabilities.
-Enterprise Systems Management students will have access to the University’s unique SAP Lab, providing an inspirational research and development space for you to use for creative thinking and design.
-You will participate in ERPsim to gain experience of enterprise systems, using virtual business scenarios to evaluate the impact of integration of processes on manufacturing and business analytics.
-The Faculty is a member of SAP University Alliance. This programme provides you with the opportunity to undertake SAP certification in a number of key areas including enterprise resources planning (ERP) and business warehouse (BW).

Course in depth

Our teaching philosophy revolves around you both ‘learning by doing’ and also transferring acquired knowledge to others. Activities will be conducted both individually and in teams, with tutors providing leadership and mentoring aimed at supporting your transition into independent learners. In this partnership, we will be encouraging you to become proactive, so that you can develop your confidence to undertake a range of progressively complex and challenging tasks.

We expect you to attend all teaching sessions, as well as to read and prepare before these sessions. Good preparation will enable you to get the most from your contact time and will help you become an autonomous learner. Advanced preparation is also a critical skill which you must develop if you wish to succeed in business or professional practice. Teaching sessions will include lectures and small group interactive seminars.

You will be assessed in a number of different ways, including coursework, patchwork assessment, examinations (seen and unseen, open and closed-book), presentations, practical assignments, vivas, online forums, podcasts and project work.

Semester One
-Enterprise Systems 20 credits
-Manufacturing Systems 20 credits
-Strategic Information Systems Planning 20 credits

Semester Two
-Technology Relationship Management 20 credits
-Business Intelligence and Technology Entrepreneurship 20 credits
-Principles of Project Management 20 credits

Semester Three
Postgraduate Project 60 credits

Accreditation

The Faculty is a member of SAP University Alliance. This programme provides you with the opportunity to undertake SAP Certification in a number of key areas, including enterprise resources planning (ERP) and business warehouse (BW).

Enterprise Systems Management students have access to the University’s unique SAP Lab, providing an inspirational research and development space for you to use for creative thinking and design.

Enhancing your employability skills

Birmingham City University programmes aim to provide graduates with a set of attributes which prepare them for their future careers. The BCU Graduate:
-Is professional and work-ready
-Is a creative problem solver
-Is enterprising
-Has a global outlook

The University has introduced the Birmingham City University Graduate+ programme, which is an extracurricular awards framework that is designed to augment the subject-based skills that you develop through your programme with broader employability skills, enhancing your employment options when you leave university.

The programme will help you with crafting your CV, personal statements, covering letters and presentations, and will also help you seek part-time work experience and voluntary placements.

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Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans. Read more
Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.
The human brain is a hugely complex machine that is able to perform tasks that are vastly beyond current capabilities of artificial systems. Understanding the brain has always been a source of inspiration for developing artificially intelligent agents and has led to some of the defining moments in the history of AI. At the same time, theoretical insights from artificial intelligence provide new ways to understand and probe neural information processing in biological systems.
On the one hand, the Master’s in Computation in Neural and Artificial Systems addresses how models based on neural information processing can be used to develop artificial systems, probing of human information processing in closed-loop online settings, as well as the development of new machine learning techniques to better understand human brain function.
On the other hand it addresses various ways of modelling and understanding cognitive processing in humans. These range from abstract mathematical models of learning that are derived from Bayesian statistics, complexity theory and optimal control theory to neural information processing systems such as neural networks that simulate particular cognitive functions in a biologically inspired manner. We also look at new groundbreaking areas in the field of AI, like brain computer interfacing and deep learning.

See the website http://www.ru.nl/masters/ai/computation

Why study Computation in Neural and Artificial Systems at Radboud University?
- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- Together with the world-renowned Donders Institute, the Behavioural Science Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- Master’s students are free to use the state-of-the-art facilities available on campus, like equipment for brain imaging as EEG, fMRI and MEG.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Brain Network and Neuronal Communication. This will take three instead of two years.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to interact, debate and develop their ideas. Every student also receives personal guidance and supervision from a member of our expert staff.

Our research in this field

The programme is closely related to the research carried out in the internationally renowned Donders Institute for Brain, Cognition and Behaviour. This institute has several unique facilities for brain imaging using EEG, fMRI and MEG. You will be able to use these facilities for developing new experimental research techniques, as well as for developing new machine learning algorithms to analyse the brain data and integrate them with brain-computer interfacing systems.

Some examples of possible thesis subjects:
- Deep learning
Recent breakthroughs in AI have led to the development of artificial neural networks that achieve human level performance in object recognition. This has led companies like Google and Facebook to invest a lot of research in this technology. Within the AI department you can do research on this topic. This can range from developing deep neural networks to map and decode thoughts from human brain activity to the development of speech recognition systems or neural networks that can play arcade games.

- Brain Computer Interfacing
Brain computer interfaces are systems which decode a users mental state online in real-time for the purpose of communication or control. An effective BCI requires both neuro-scientific insight (which mental states should we decode?) and technical expertise (which measurement systems and decoding algorithms should be used?). A project could be to develop new mental tasks that induce stronger/easier to decode signals, such as using broadband stimuli. Another project could be to develop new decoding methods better able to tease a weak signal from the background noise, such as adaptive-beam forming. Results for both would assessed by performing empirical studies with target users in one of the EEG/MEG/fMRI labs available in the institute.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Google, Facebook, IBM, Philips and the Brain Foundation. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Computation in Neural and Artificial Systems could get:
- PhD researcher on bio-inspired computing
- PhD researcher on neural decoding
- PhD researcher on neural information processing
- Machine learning expert in a software company
- Company founder for brain-based computer games
- Hospital-based designer of assistive technology for patients
- Policy advisor on new developments in neurotechnology
- Software developer for analysis and online visual displays of brain activity

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Sweden and the United States.

See the website http://www.ru.nl/masters/ai/computation

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This Masters programme trains graduates of engineering, science or related disciplines in general and specialist process systems engineering subjects. Read more

This Masters programme trains graduates of engineering, science or related disciplines in general and specialist process systems engineering subjects.

Such areas are not generally covered in engineering and science curricula, and BSc graduates tend to be ill prepared for the systems challenges they will face in industry or academia on graduation.

Programme structure

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation.

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Facilities, equipment and academic support

Modules related to the different groups are taught by a total of six full-time members of staff and a number of visiting lecturers.

As part of their learning experience, students have at their disposal a wide range of relevant software needed to support the programme material dissertation projects. In recent years, this work included the design of various knowledge-based and business systems on the internet, the application of optimisation algorithms, and semantic web applications.

Numerous laboratory facilities across the Faculty and the University are also available for those opting for technology-based projects, such as the process engineering facility, a control and robotics facility and signal processing labs.

The work related to the MSc dissertation can often be carried out in parallel with, and in support of, ongoing research. In the past, several graduates have carried on their MSc research to a PhD programme.

Career prospects

Engineers and scientists are increasingly expected to have skills in information systems engineering and decision-support systems alongside their main technical and/or scientific expertise.

Graduates of this programme will be well prepared to help technology-intensive organisations make important decisions in view of vast amounts of information by adopting, combining, implementing and executing the right technologies.

Educational aims of the programme

The programme aims to provide a highly vocational education which is intellectually rigorous and up-to-date. It also aims to provide the students with the necessary skills required for a successful career in the process industries.

This is achieved through a balanced curriculum with a core of process systems engineering modules supplemented by a flexible element by way of elective modules that permit students to pursue an element of specialisation relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme. The programme draws on the stimulus of the Faculty’s research activities.

The programme provides the students with the basis for developing their own approach to learning and personal development.

Programme learning outcomes

Knowledge and understanding

  • State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems, mathematical optimization and decision making, process systems design, supply chain management, process and energy integration, and advanced process control technologies
  • Advanced level of understanding in technical topics of preference, in one or more of the following aspects: renewable energy technologies, refinery and petrochemical processes, biomass processing technologies, and knowledge-based systems

Intellectual / cognitive skills

The programme aims to strengthen cognitive skills of the students, particularly in the aspects of problem definition, knowledge and information acquiring, synthesis, and creativity, as collectively demonstrable through the successful completion of the research dissertation. The key learning outcomes include the abilities to:

  • Select, define and focus upon an issue at an appropriate level
  • Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
  • Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills

The programme primarily aims to develop skills for applying appropriate methods to analyse, develop, and assess process systems and technologies. The key learning outcomes include the abilities to:

  • Assess the available systems in the process industries
  • Design and/or select appropriate system components, and optimise and evaluate system design
  • Apply generic systems engineering methods such as modelling, simulation, and optimization to facilitate the assessment and development of advanced process technologies and systems

Key / transferable skills

The programme aims to strengthen a range of transferable skills which are relevant to the needs of existing and future professionals in knowledge intensive industries irrespective of their sector of operation. The key learning outcomes include the further development of the skills in the following areas:

  • Preparation and delivery of communication and presentation
  • Report and essay writing
  • Use of general and professional computing tools
  • Collaborative working with team members
  • Organising and planning of work
  • Research into new areas, particularly in the aspect of literature review and skills acquisition

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.



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Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence. Read more

About the course

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

Computational Intelligence encompasses the techniques and methods used to tackle problems not well solved by traditional approaches to computing. The four areas of fuzzy logic, neural networks, evolutionary computing and knowledge based systems encompass much of what is considered to be computational (or artificial) intelligence. There are opportunities to use these techniques in many application areas such as robot control and games development depending on your interests.

Modules include work based on research by the Centre of Computational Intelligence. With an established international reputation, their work focuses on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics, providing theoretically sound solutions to real-world decision making and prediction problems. Past students have published papers with their CCI project supervisors and gone on to PhD study.

Reasons to Study

• Internationally recognised reputation
our internationally recognised Centre of Computational Intelligence (CCI) inputs into the course allowing you to understand the current research issues related to artificial intelligence

• Benefit from our Research Expertise
modules include work-based on research by our Centre for Computational Intelligence (CCI) and focus on the use of fuzzy logic, artificial neural networks, evolutionary computing, mobile robotics and biomedical informatics; providing theoretically sound solutions to real-world decision making and prediction problems

• Flexible study options
full-time, part time or distance learning study options available; making the course suitable for recent graduates and professionals in work

• Dedicated robotics laboratory
have access to our Advanced Mobile Robotics and Intelligent Agents Laboratory. The laboratory contains a variety of mobile robots ranging from the Lego Mindstorms and Pioneers to the Wheelbarrow robot for bomb disposal

• Employment Prospects
artificial Intelligence is a growing industry worldwide, employment opportunities exist in areas such as games development, control systems, software engineering, internet businesses, financial services, mobile communications, programming, and software engineering

Course Structure

Modules

• Computational Intelligence Research Methods
• Artificial Intelligence (AI) Programming
• Mobile Robots
• Fuzzy Logic
• Artificial Neural Networks
• Evolutionary Computing
• Applied Computational Intelligence
• Data Mining
• Individual Project

Optional placement
We offer a great opportunity to boost your career prospects through an optional one year placement as part of your postgraduate studies. We have a dedicated Placement Unit which will help you obtain this. Once on your placement you will be supported by your Visiting Tutor to ensure that you gain maximum benefit from the experience. Placements begin after the taught component of the course has been completed - usually around June - and last for one year. When you return from your work placement you will begin your project.

Teaching and Assessment

The course consists of an induction unit, eight modules and an individual project. The summer period is devoted to work on the project for full-time students. If you choose to study via distance learning, you would normally take either one module per semester for four years or two modules per semester for four years plus a further year for the project.

Teaching is normally delivered through lectures, seminars, tutorials, workshops, discussions and e-learning packages. Assessment is via coursework only and will usually involve a combination of individual and group work, presentations, essays, reports and projects.

Distance learning material is delivered primarily through our virtual learning environment. Books, DVDs and other learning materials will be sent to you. We aim to replicate the on-site experience as fully as possible by using electronic discussion groups, encouraging contact with tutors through a variety of mediums.

Contact and learning hours

On-site students will have the lessons delivered by the module tutors in slots of three hours. In the full-time route, you can expect to have around 12 hours of timetabled taught sessions each week, with approximately 28 additional hours of independent study. There are also three non-teaching weeks when fulltime students can expect to spend around 40 hours on independent study each week.

Academic expertise

Taught by experienced research staff from the Centre for Computational Intelligence (CCI), an internationally recognised centre highly rated in the most recent Government Research Assessment Exercise, you will gain a professional qualification that gives substantially enhanced career and research prospects in both traditional computing areas and in the expanding area of computational intelligence.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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This programme will equip you with the essential knowledge for engineering careers in the oil, gas and petrochemical sectors. Read more

This programme will equip you with the essential knowledge for engineering careers in the oil, gas and petrochemical sectors.

Upon completion of the course you will have gained a comprehensive understanding of oil refining and associated downstream processing technologies, operations and economics; process safety and operations integrity; and methods for the optimal design of process systems.

You will learn about the general economics of the energy sector, oil exploration and production, as well as renewable energy systems.

Furthermore, your study of the various aspects of petroleum refining will be augmented by unique work assignments at a virtual oil-refining and chemical company.

Programme structure

This programme is studied full-time over one academic year and part-time students must study at least two taught technical modules per academic year. It consists of eight taught modules and a dissertation.

Example module listing

The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.

Educational aims of the programme

The programme aims to provide a highly vocational education that equips the students with the essential knowledge and skills required to work as competent engineers in the petrochemical sector.

This is to be achieved through combining proper material in two popular and complementary topics: process systems engineering and petroleum refining. The key objective is to develop a sound understanding of oil refining and downstream processing technologies, process safety and operation integrity, as well as systems methods for the optimal design of process systems.

A balanced curriculum is provided with essential modules from these two areas supplemented by a flexible element by way of elective modules that permit students to pursue subjects of preference relevant to their backgrounds, interests and/or career aspirations.

An integrated approach is taken so as to provide a coherent view that explores the interrelationships between the various components of the programme.

Programme learning outcomes

Knowledge and understanding

The programme aims to develop the knowledge and understanding in both petroleum refining and systems engineering. The key learning outcomes include:

  • State-of- the-art knowledge in petroleum refining and petrochemical processing, in terms of the technologies of processes that comprise a modern refinery and petrochemicals complex
  • The principles for analysing and improving the profitability of refining and petrochemicals processing
  • General Safety, health, and environment (SHE) principles on a refinery and petrochemicals complex
  • Methods and systems for ensuring safe and reliable design and operation of process units
  • State-of- the-art knowledge in process systems engineering methods, in the areas of: modelling and simulation of process systems, mathematical optimization and decision making, process systems design and process and energy integration
  • Advanced level of understanding in technical topics of preference, in one or more of the following aspects: petroleum exploration and production, economics of the energy sector, sustainable and renewable systems, supply chain management

Intellectual / cognitive skills

The programme aims to strengthen cognitive skills of the students, particularly in the aspects of problem definition, knowledge and information acquiring, synthesis, and creativity, as collectively demonstrable through the successful completion of the research dissertation.

The key learning outcomes include the abilities to:

  • Select, define and focus upon an issue at an appropriate level
  • Collect and digest knowledge and information selectively and independently to support a particular scientific or engineering enquiry
  • Develop and apply relevant and sound methodologies for analysing the issue, developing solutions, recommendations and logical conclusions, and for evaluating the results of own or other’s work

Professional practical skills

The programme primarily aims to develop skills for applying appropriate methods to the design and operation of petroleum refining processes. The key learning outcomes include the abilities to:

  • Apply knowledge of the operation of refineries to analyze and to improve the profitability of refining and petrochemical processing
  • Apply relevant principles, methods, and tools to improve the safety and operation integrity of refineries
  • Apply systems engineering methods such as modelling, simulation, optimization, and energy integration to improve the design of petroleum refining units and systems

Key / transferable skills

The programme aims to strengthen a range of transferable skills that are relevant to the needs of existing and future professionals in knowledge intensive industries irrespective of their sector of operation.

The key learning outcomes include the further development of the skills in the following areas:

  • Preparation and delivery of communication and presentation
  • Report and essay writing
  • Use of general and professional computing tools
  • Collaborative working with team members
  • Organizing and planning of work
  • Research into new areas, particularly in the aspect of literature review and skills acquisition

Global opportunities

We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.

In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.



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Information systems (IS) today are large, complex, varied in form and distributed, serving different types of people who use a variety of devices to access information. Read more
Information systems (IS) today are large, complex, varied in form and distributed, serving different types of people who use a variety of devices to access information. Specialists who recognise diverse business needs, and have a systematic approach to understanding the impact of technology on organisations, are essential to the success of any IS/IT strategy. Equal in importance to the architectures of systems and the supporting technologies, is the management and delivery of content, whether in the form of data, documents, images and sound.

Increasingly, the fundamental systems comprise digital architectures and networks which then embody and enable the distribution of digital content. Developed information systems are in reality socio-technical systems incorporating people, technologies and content. The information systems specialist becomes a more broadly based information professional as they extend their range and scope of operations towards the end users and their environments. Providing services to users and people at large and ensuring information resources deliver value is equally a part of the wider world of information systems.

Course detail

This course builds on typical undergraduate computing courses studied at level 4 and 5 or equivalent ( such as HND) by offering a level 6 entry route 'integrated' to a level 7 Masters course.

The two year combination provides a route to develop new knowledge and skills in areas critical to the introduction and success of modern information systems for enterprises. The course also provides a route for people with other backgrounds and experience to engage with the world of information systems. It helps you gain a full understanding of how information systems are designed and constructed, and of the impact of technology and its integration into an organisation. It will also give you the skills you need to work effectively in a business-consulting environment, and provide a solid basis for research.

To qualify for the award of MSc Information Systems (Integrated), candidates on the integrated pathway must study five level 6 modules consisting of 20 credits each and two 10 credits each, and six level 7 modules consisting of 20 credits and a 60 credits dissertation module.

Modules

Year One (Level 6)
• Strategies and Systems or Advanced Business Systems
• Development Methodologies
• Computer Security
• Advanced Databases
• Project Preparation
• Project
• IT Industry
Year Two (Level 7)
• Project Management
• Consultancy and Technological Innovation
• Enterprise Architecture
• Knowledge Management
• Learning and Professional Development
• Employability Skills and Employment
• HCI for Information Systems (optional)
• Mobile Applications Development ( optional)
• Data Architectures ( optional)
• UML Component Modelling(optional)
• Security Management ( optional)
• Research Methods
• Dissertation

Note: students select one option from the list offered

Format

Teaching consists of lectures, seminars and laboratory work to provide a basis for the intensive individual study you need to undertake to maximize your investment of time and potential outcomes from taking the course.

Assessment

Course assessed work is a significant part of the total assessment. There is practical work, report writing, critical academic writing and the skills and knowledge gained in these contribute to a capacity to deliver a high quality dissertation.

There are a number of end of module exams. Course tutors provide appropriate support throughout the module to ensure candidates are well prepared.

Career and study progression

The course aims to provide routes into a number of careers:
- information officers
- librarians, information service staff
- content and intelligence gatherers
- analysts
- researchers
- editors
- searchers and intermediaries
- advice and assistance workers
- data managers
- management information systems staff
- multimedia content workers
- mapping specialists and cartographers
- marketing research
- public relations and communication staff.

Outstanding graduates have gone on to further study at the level of MPhil and PhD at UWL and at other institutions. We actively encourage students with potential for research to make their interest known early on in their course.

How to apply

Click the following link for information on how to apply to this course: http://www.uwl.ac.uk/students/postgraduate/how-apply

Scholarships and bursaries

Information about scholarships and bursaries can be found here: http://www.uwl.ac.uk/students/postgraduate/scholarships-and-bursaries

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This new course will not only teach you about the fundamental and advanced concepts of modelling, simulation, control, optimisation and systems engineering, but also provides you with a range of management techniques, including. Read more

About the course

This new course will not only teach you about the fundamental and advanced concepts of modelling, simulation, control, optimisation and systems engineering, but also provides you with a range of management techniques, including: project management, risk management, professional skills and effective management of innovative development.

Our world-leading research and our partnerships with industry give you an advantage in a competitive careers market. You’ll learn about the very latest developments in systems, control, computational intelligence and robotics – effectively preparing you for a future in engineering.

[Push yourself further]]

We have cutting edge facilities and technology, including: advanced control and systems software, modelling, simulation and controller design tools, robotics and a flexible manufacturing systems laboratory, evolutionary computing laboratory and clean facilities for the assembly of satellite instrumentation.

Make your mark

You could pursue a career with a large international organisation or government department. Our graduates work in sectors such as manufacturing, power generation and sustainable energy, with companies including British Airways, Jaguar Land Rover, NASA, IBM, Rolls-Royce and Unilever.

A masters from Sheffield is the mark of someone with the skills to apply their knowledge in industry, anywhere in the world. Our MSc in Advanced Control and Systems Engineering is accredited by the Engineering Council UK, IET and InstMC. These marks of assurance mean our degrees meet the high standards set by the engineering profession.

A Sheffield masters is a strong foundation for a career in industry or research.

Industry links

We have strong links with industrial partners such as Rolls-Royce and BAE Systems. Our industrial partners help us to design our courses, making sure you learn the right skills.

Rolls-Royce has a research and development centre here, using our expertise to explore today’s challenges. Our masters students often work side by side with researchers at these facilities.

A stimulating environment

The 2014 Research Excellence Framework (REF) rates us No 1 in the UK for research output, ahead of Oxford and Cambridge, and No 3 for overall research excellence. Our world-class reputation attracts highly motivated staff and students.

You’ll be taught by staff who work on real-world projects, developing new ideas – for submarines, robots, Formula One and even space exploration. Their approach to teaching is just as innovative: ideas like the award-winning take-home lab kit and e-puck mobile robotics activities help you develop the problem-solving skills you need for a trailblazing career.

Core Modules

Foundations of Control Systems; State-Space, Optimal Control and Nonlinear Systems; Signal Processing and Estimation; Embedded Systems and Rapid Control Prototyping; Managing Engineering Projects and Risk; Design Innovation Toolbox; Professional Responsibilities of the Engineer; Control Systems Project and Dissertation.

Examples of optional modules

Advanced Industrial Control; Robotic and Autonomous Systems; Intelligent and Vision Systems; Multisensor and Decision Systems; Nonlinear and Hybrid Systems.

Teaching and Assessment

There are lectures, tutorials, laboratory work and individual assignments. You will be assessed on examinations, coursework assignments and a project dissertation.

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With the MSc Business Systems Analysis and Design course at City you can unravel a business system and prepare to work as an analyst within the industry. Read more
With the MSc Business Systems Analysis and Design course at City you can unravel a business system and prepare to work as an analyst within the industry.

Who is it for?

The course is for motivated students who enjoy working within high-pressure environments often to tight deadlines. You will need a good undergraduate degree as well as the tenacity and patience to understand business systems and the ability to adapt to constant change.

Objectives

There is a common misconception in building business systems: that users know their requirements. Often they don’t. This postgraduate Business Systems Analysis programme has been designed to address this problem.

The MSc in Business Systems Analysis and Design is not about developing algorithms and coding. We work with technology but we are not technicians because we know that to become an IT consultant or business analyst, you need to understand the disparate areas that make up the discipline. This is a Masters degree where you will design a business system; in order to do this you will unpick the information infrastructure to find out if the system works.

Analysing a business system is a process that demands constant re-evaluation. By investigating system requirements, considering how information flows through it, and exploring the pitfalls that emerge within user hierarchies, at City we examine the business system as a whole. This approach is essential to respond to rapid business change.

These are some of the questions the course poses:
-What is the right system to address the problem?
-Does the system meet the needs of the business now and will it be able to adapt in the future?
-How is information flowing within the system?
-How will users interact with the system throughout the project life cycle?

Placements

As a student on this programme you can undertake an internship in the July to December period, for up to six months. You can work under a client’s direction for all or part of this time. Many students use the internship as an opportunity to carry out a specific project which forms the context for their final dissertation.

One current student is working within a user experience design company to investigate how scents affect the emotional perception of digital fruit images displayed on a desktop service.

Academic facilities

As a student on the MSc Business Systems Analysis and Design course you will have access to dedicated labs and use specialist software such as SAP. At City we also have access to Microsoft Dynamics ERP software to support the enterprise information system module. Microsoft Dynamics is an industry-based CRM system. As part of the University of London you can also become a member of Senate House Library for free with your student ID card.

Teaching and learning

We provide a diversity of teaching approaches so you get a diversity of learning experiences in the form of traditional lectures, live classroom demonstrations, tutorials, laboratories, and TV studio role-playing. We encourage you to engage with the material in an active way. As a postgraduate student, we expect you to take responsibility for your own learning and use non-timetabled hours for your own private study or group interactions.

You will be assessed in a variety of ways from coursework and laboratory work to presentations, examinations and a project dissertation. By successfully completing eight taught modules and the research project you will be awarded a Master of Science (MSc) degree. All modules in this course are supported by Moodle, City's online learning environment.

The course is available full time (12 months) and part time (up to 28 months - two days a week). The Department is aware that this involves considerable commitment from part-time students, and we try to be as flexible as we can so you can successfully combine your work and study.

By completing eight modules and the dissertation you will be awarded 180 credits and a Masters level qualification. Alternatively, if you do not complete the dissertation but have successfully completed the eight modules, you will be awarded 120 credits and a postgraduate diploma. If you successfully complete four modules (60 credits) you will be awarded a postgraduate certificate.

Modules

There are six core modules and four electives from which you can choose two topics. Practical work is emphasised throughout the degree programme to develop your understanding and skills, which is strengthened by interactive teamwork. The course has an excellent track record in producing employable hybrid IT/business professionals.

In the industry you need to communicate your expertise in lay terms. The modules give you experience in working on group projects so you can manage roles and responsibilities and build a set of professional values. The core content will also give you the ability to set strategies, manage information flows and deal with problems such as overload and risk.

The course develops:
-Skills in business awareness, design and consultancy to facilitate the alignment of IT systems and services to business objectives
-The specialist understanding of theoretical principles in business systems analysis and design.
-Technical skills, through practical laboratory work, so you can apply your knowledge of IT and how it affects business competitiveness.

The course will give you specialist knowledge ranging from business systems requirements analysis and design, software systems engineering, data modelling to business intelligence, project management and business engineering with ERP solutions.

Core modules
-Business engineering with ERP solutions INM342 (15 credits)
-Business intelligence & analytics INM451 (15 credits)
-Practical business systems consultancy INM353 (15 credits)
-Project management INM372 (15 credits)
-Research methods and professional issues INM373 (15 credits)
-Systems specification INM312 (15 credits)

Elective modules - choose from one module in the first term from the following:
-User-centred design INM355 (15 credits)
-Information and knowledge management INM351 (15 credits)

Choose from one module in the second term from the following:*
-Databases INM343 (15 credits)
-Information Retrieval (IR) INM351 (15 credits)

*Note: Databases is compulsory for students who do not have prior knowledge at the discretion of the programme director.

Career prospects

As a City graduate you leave with front-line knowledge. With insight from major areas of research including software engineering, human-computer interaction and artificial intelligence, you will be able to assimilate your skills within the industry and offer a future-focused mindset.

From Unilever to HMV and from Accenture to ITN, City graduates are employed across sectors in consultancy companies, software houses, the public services, telecommunications, multinational manufacturers, and large retailers. The programme will help you build a strong peer network as well as a solid network of contacts for your continued career development.

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