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Masters Degrees (Information Tech)

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Developed alongside industry to be commercially relevant, this specialist programme is designed to produce graduates who understand the professional, managerial and technical dimensions of information management and business technology. Read more
Developed alongside industry to be commercially relevant, this specialist programme is designed to produce graduates who understand the professional, managerial and technical dimensions of information management and business technology.

There is currently a shortage of hybrid managers within industry and this programme has been developed specifically to address this gap.

You will benefit not only from our renowned academic lecturers and state-of-the-art facilities, but also from a range of additional opportunities including industry speakers from companies such as BT, IBM and SAP.

Graduates will be equipped with the core skills required to obtain a first professional post in the sector, as well as the learning and leadership skills needed for professional development beyond that.

Working professionals wishing to study the programme part-time, or to take individual modules for Continuing Professional Development, are invited to discuss their requirements with the Programme Director.

Core study areas include business relationships management, business technologies and platforms, management of IT systems, collaborative working technology, managing knowledge in organisations, information and social network analysis, information architecture, project management and leadership and a project.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/info-management-business-tech/

Programme modules

Semester 1
• Business Relationships Management
• Business Technologies and Platforms
• Management of IT Systems
• Collaborative Working with Technology

Semester 2
• Managing Knowledge in Organisations
• Information and Social Network Analysis
• Information Architecture
• Project Management and Leadership

Summer period
• Dissertation (Full-Time students) / Dissertation (Part-Time students)

Assessment

MSc: coursework, written exam and dissertation. The project involves supervised, self-directed study.
Diploma and Certificate: coursework.

Careers and further study

This programme has been developed with industry to address the short-fall in hybrid managers and so doing, to provide graduates with hybrid information management and business technology knowledge and experience.

Example destinations include:
- Advanced Computer Software Group Plc – IT Manager,
- Alliance Boots – Trainee Manager,
- Amtec Developments – Project Manager,
- FESCO – Security Engineer.

Fees

UK/EU:
PG.Dip.- £4400
M.Sc. - £6600
PG.Cert. - £2200

International:
PG.Dip.- £9970
M.Sc.- £14950
PG.Cert.- £4980

Scholarships and sponsorships

The School may offer a limited number of scholarships for UK / EU students with outstanding academic track records.

Why choose business and economics at Loughborough?

Loughborough’s School of Business and Economics is a thriving forward-looking centre of education that aims to provide an exceptional learning experience.

Consistently ranked as a Top-10 UK business school by national league tables, our graduates are highly employable and enjoy starting salaries well above the national average.

The rich variety of postgraduate programmes we offer ranges from taught masters, MBA and doctoral programmes, to short courses and executive education, with subjects spanning Management, Marketing, Finance and Economics, Work Psychology, Business Analytics, International Crisis Management and Information Management. New for 2016, we are also launching two exciting new programmes in Human Resource Management. All of this contributes to a lively and supportive learning environment within the School.

- Internationally Accredited
The School of Business and Economics is one of less than 1% of business schools in the world to have achieved accreditation from all three major international accrediting bodies: The Association to Advance Collegiate Schools of Business (AACSB International), EQUIS accreditation from the European Foundation for Management Development (EFMD) and the Association of MBAs (AMBA).

- Career Prospects
Our graduates are in great demand. Over 94% of our postgraduate students were in work and/or further study six months after graduating.* As such, you will be equipped with skills and knowledge that will serve you well in your career or enable you to pursue further study and research.

*Source: DLHE

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/business-economics/info-management-business-tech/

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

More about this course

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

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

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

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

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

Professional accreditation

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

Modular structure

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

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

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

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

After the course

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

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

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Forensic information technology (FIT) is the scientific use or application of information technology (IT) in the generation and presentation of digital evidence to be used in courts, legal or other formal proceedings. Read more

Why take this course?

Forensic information technology (FIT) is the scientific use or application of information technology (IT) in the generation and presentation of digital evidence to be used in courts, legal or other formal proceedings.

This course will enable you to develop your understanding and application of security issues and cybercrime for the purpose of forensic computing and investigation.

What will I experience?

On this course you can:

Learn how to investigate hacking, fraud and deception using a range of digital forensic tools
Practise identifying intruders' trails and suspected inappropriate use of internet applications in order to compile scientific evidence to prosecute
Manage a real-life computer engineering project using appropriate techniques for writing and reasoning about security policies

What opportunities might it lead to?

Many police investigations or civil disputes involve investigation of computer systems, mobile phones or other information devices, and there are an increasing number of UK companies that undertake investigations as consultants. You can expect to find career opportunities in such companies as well as in law enforcement and other services.

Accredited by BCS, The Chartered Institute for IT for the purposes of fully meeting the further learning academic requirement for registration as a Chartered IT Professional (CITP). This course also partially meets the academic requirement for registration, either as a Chartered Scientist (CSci) or (on behalf of the Engineering Council) as a Chartered Engineer (CEng)*.

*On condition that the Master's Engineering Project is successfully completed.

Module Details

You will study four key topics which will collaboratively develop your knowledge and ability to carry out forensic IT investigations as well as an introduction on how to build protected specification software for data and other web applications. You will also get to build your own test system as part of your final project.

Here are the units you will study:

Computer Forensic Investigation and Cryptography: This unit covers the practical aspects of conducting a forensic investigation of digital evidence. In order for the students to develop a critical understanding of computer forensics, a holistic approach of the forensics investigation process is adopted, with a full investigation ‘life cycle’ from seizure of evidence through to giving evidence in court as an expert witness. We look at a range of tools, operating systems and devices.

Computer Security: The unit provides an introduction to computer security concepts and their practical application, in both closed and interconnected networks. Students are expected to both understand and be able to critically evaluate different approaches to securing complex computer systems.

Cybercrime Security and Risk Management: This unit provides opportunities for participants to develop skills and knowledge in the understanding of corporate cyber threats. Drawing upon a range of practical examples, students will examine how rapid technological development and expansion in access to the internet has impacted upon crime (e.g. how anonymity and unfounded trust encourage deception), mapping out the terrain of information technology, and identifying the emerging areas of cyber crime. Areas explored will include the crossing of established boundaries into spaces over which control has already been established such as cyber-intrusion and cyber-theft, but also 'new cyber crimes' in the form of virtual trespass, Denial of Service attacks, and the development of opportunities for offending in the context of social networking websites.

Master's Project: You will undertake either an engineering unit or a study project, during the summer period. The project offers students the opportunity to apply the taught material in the solution of a real-world problem directly related to their course. The engineering project usually involves building a piece of software to solve a problem. An example of the sort of thing you might do would be building a tool to address a specific forensics requirement. The study project usually involves undertaking a study of an IT domain relevant to forensics. To prepare for this the project includes a number of preparatory sessions, which contribute to part of your final mark.

Specialist optional units include:

Systems, Security and Data Analysis: The first part of the unit provides an overview of computer organisation, operating systems and network design, with a strong focus on security considerations and aspects relevant to computer and digital forensics. The early part of the unit will provide an introduction to relevant issues in system architecture and file system organisation. Threats to computer systems will be considered. The first half of the unit is concluded with studying in some depth current technologies for securing real computer networks. The second part of the unit deals with the important topic of data analytics.

Advanced Programming Skills for the Web: This unit draws together a number of system development skills, focusing on how they can be applied to the development specifically of web applications. Topics covered include web programming, connecting databases to web applications, software tools, testing and security.

Programme Assessment

You will be taught through a combination of practical exercises, simulations, lectures, guest lectures and formative assessments, and will be expected to use a wide range of on and offline learning tools.

You will encounter a range of assessment styles depending on the content and nature of the unit topic. This can include written assignments, presentations as well as group and individual lab-based assessments. However, the most significant assessment element is the final dissertation, which reports and reflects on your final project.

Student Destinations

On completing this course, you will be equipped to seek employment in the following areas: IT auditing, information security, independent investigation, Computer Emergency Response Teams (CERT) and law enforcement agencies. Some of our previous graduates have been successful in finding employment within high-tech crime units, commercial investigation and national security bodies, while others go on to further research study at PhD level.

This course will also appeal to already practising professionals in related areas such as law enforcement, system administration, corporate security, IS auditing or security analysis and management for the commercial sector.

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The Technology Entrepreneurship MSc equips graduates that have a strong desire to be an entrepreneur with the skills and knowledge needed to develop their own start-up businesses. Read more
The Technology Entrepreneurship MSc equips graduates that have a strong desire to be an entrepreneur with the skills and knowledge needed to develop their own start-up businesses. The programme provides an effective grounding across a wide range of the applied disciplines required for the effective management of technical ventures.

See the website http://www.ucl.ac.uk/prospective-students/graduate/taught/degrees/technology-entrepreneurship-msc

Key Information

- Application dates
All applicants:
Open: 5 October 2015
Close: 29 July 2016
Optional qualifications: This degree is also available as a PG Diploma and a PG Certificate with fees set accordingly.

English Language Requirements

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.
The English language level for this programme is: Good
Further information can be found on http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements .

International students

Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from http://www.ucl.ac.uk/prospective-students/international .

Degree Information

Students gain a solid core of business, project management and team working skills, and are given the opportunity to hone their technical skills. For students who wish to develop their business idea following graduation, assistance is given in making valuable contacts with potential investors, business partners, venture capitalists and clients.

Students undertake modules to the value of 180 credits.

The programme consists of eight core modules (120 credits), and a research dissertation (60 credits).

A Postgraduate Diploma (120 credits, full-time nine months, part-time two years) is offered to students who are unable to complete the standard 180 credits.

A Postgraduate Certificate (60 credits, full-time three months, part-time nine months) is offered to students who are unable to complete the standard 180 credits.

- Core Modules
New Technology Ventures
Prototyping
Effectual Entrepreneurship
Entrepreneurial Marketing
Managing High-technology Organisations
Entrepreneurial Finance
New Venture Analytics
Strategy for High-tech Ventures

- Options
There are no optional modules for this programme.

- Dissertation/report
All students undertake an independent research project which includes a high-quality business or new venture plan as part of their 15,000-word dissertation.

Teaching and Learning

The programme is delivered through a combination of lectures, seminars, and class discussion. Students are given the opportunity to attend weekly lectures from leading global entrepreneurs and venture capitalists. Assessment is through presentations, course work, long-essay, class participation, open-book and unseen examination, and the dissertation.

Further information on modules and degree structure available on the department web site Technology Entrepreneurship MSc https://www.mgmt.ucl.ac.uk/msc-technology-entrepreneurship

Funding

Scholarships relevant to this department are displayed (where available) below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website http://www.ucl.ac.uk/prospective-students/scholarships .

Careers

Former Technology Entrepreneurship MSc students have gone on to create start-up companies such as: http://www.wowzer.com, and http://www.vungle.com, work for high-profile companies such as Barclays, Lloyds, Delloite, Tesco, UBS, Pegatron, Bank of New York, France Telecom, Tradedoubler, or higher education institutions such as UCL, Imperial College, Aberdeen University and the University of Cape Town.

Top career destinations for this degree:
- CEO, Wish Bird (2013)
- CEO, Blue Ronin (2013)
- CEO, We Like Shopping (2013)
- CEO, Jive Bike (2012)
- CEO, Vungle.com (2012)

Why study this degree at UCL?

UCL Management Science & Innovation offers a unique research and education programme with a focus on technology management, innovation, creation/growth of technology-intensive organisations, operations research, and entrepreneurship.

Technology Entrepreneurship MSc students have access to world-class technical expertise and resources within a structured framework of support and formal business education, backed up with strong links to UCL Advances.

Students have access to a wide range of innovation-focused initiatives and events at UCL, including the London Entrepreneurs' Challenge, weekly networking events and the Knowledge Exchange Associates scheme. UCL is based near London's 'Tech City'.

Student / staff ratios › 69 staff including 6 postdocs › 216 taught students › 5 research students

Application and next steps

- Applications
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

- Who can apply?
The programme is suitable for recent graduates who intend to work in business but require specific training in the sector, for entrepreneurs who wish to found a business but need additional skills, resources and infrastructure, and for those in employment who wish to gain new skills for career development.

What are we looking for?
Together with essential academic requirements, the personal statement is your opportunity to explain your reasons for applying to study this particular MSc programme. The course requires that applicants have clear entrepreneurial ambitions and so you need to provide evidence of having begun to pursue these. In assessing your application, we also require you to clearly demonstrate why you want to study Technology and Entrepreneurship at UCL and how you hope to develop your future career as an entrepreneur with reference to the core course modules we offer.

For more information see the Applications page http://www.ucl.ac.uk/prospective-students/graduate/apply .

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The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations.

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This is to confirm this course will move from our Stafford Campus to Stoke-on-Trent Campus from Summer 2016.

Course content

Throughout the course you will be invited to attend guest lectures delivering workshops and conducting seminars with the students. Our visiting tutors are national and international security experts.

You will also have an opportunity in achieving industry recognised certification in Certified Ethical hacking.

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

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This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. Read more
This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. The course draws together technology and business perspectives in order to understand the implications for social-media enabled business.

We emphasise the business and commercial implications of disruptive technologies on this course, therefore, our applicants are normally expected to have a Business, Management, Economics or other closely related first degree, or have extensive business and management experience. The course should also appeal to candidates with professional experience in IT management, as well as those with an MBA wishing to expand their understanding of technology management and consultancy.

This course helps students prepare for a career in business and management within and beyond the IT sector by gaining technical skills and an appreciation of the crucial role social web technologies play in today’s organisations and their ability to transform business processes.

The MSc in Business Intelligence and Social Media provides students with sound knowledge and understanding of new-media related business practices and to provide them with transferable skills designed to meet the challenges of employment within the global economy.
The course helps students understand the importance of information and mass communications technologies to the operations of modern businesses of all kinds.Students are encouraged to reflect on the relevance of concepts to business and apply their newly developed skills in advance studies or professional practice. Successful graduates of the course progress to leadership and decision making roles in industrial organisations or develop successful consultancy and advisory businesses of their own.

Special Features

Curriculum focus on social media in business
Teaching with and through social media
Technologies introduced from non-tech perspective
Focus on consultancy and entrepreneurship
Opportunities for students to practice and develop problem analysis, solution design, advisory and communication skills, as well as to become familiar with business models and the life-cycle of business development

Academics who teach on this exciting programme are part of the Information Systems Evaluation Group which is a research centre of excellence that supports a number of Engineering and Physical Sciences Research Council (EPSRC) funded networks and projects. This group is housed in the Brunel Business School in collaboration with the excellent-rated (RAE score 5) School of Information Systems, Computing and Mathematics. ISEing is the first multi-disciplinary research group to receive government funding in the areas of Information Systems Evaluation, Enterprise Integration and eGovernment.

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Data science is an emerging new area of science. With City’s MSc in Data Science you can develop the skills and knowledge to analyse data in many forms and communicate insights. Read more
Data science is an emerging new area of science. With City’s MSc in Data Science you can develop the skills and knowledge to analyse data in many forms and communicate insights.

Who is it for?

This programme is for students who have a numerate first degree or can demonstrate numerate skills. Students are often at the early stages of their careers in diverse professions including economics, statistics and computer science.

Students will have a curiosity about data, and will want to learn new techniques to boost their career and be part of exciting current industry developments. The MSc in Data Science includes some complex programming tasks because of the applied nature of the course, so many students have a mathematics or statistics background and enjoy working with algorithms.

Objectives

The demand for data scientists in the UK has grown more than ten-fold in the past five years *. The amount of data in the world is growing exponentially. From analysing tyre performance to detecting problem gamblers, wherever data exists, there are opportunities to apply it.

City’s MSc Data Science programme covers the intersection of computer science and statistics, machine learning and practical applications. We explore areas such as visualisation because we believe that data science is about generating insight into data as well as its communication in practice.

The programme focuses on machine learning as the most exciting technology for data and we have learned from our own graduates that this is of high value when it comes to employment within the field. At City, we have excellent expertise in machine learning and the facilities students need to learn the technical aspects of data analysis. We also have a world-leading centre for data visualisation, where students get exposed to the latest developments on presenting and communicating their results – a highly sought after skill.

Placements

There is the opportunity to do an internship as part of the programme. The final project, which is normally three months for a full-time student, can be extended to six months if you want to study within a specific organisation. When it comes to the big data and data science area, we have established relationships with organisations including the BBC, Microsoft and The British Library so you can be confident that with City, your access to professional experience is unparalleled. One recent student undertook an internship with Google and has since secured a job within the company.

Academic facilities

The School's computer science laboratories are equipped with the latest up-to-date hardware and software. From Oracle’s leading commercial object-relational database server to PCs with state-of-the-art NVidia GPUs for computer graphics, you will have access to an array of tools to support your learning.

The MSc Data Science programme offers two (three by mid 2016) dedicated computer servers for the Big Data module, which you can also use for your final project to analyse large data sets. We give you the opportunity to undertake training in MATLAB, the most popular numerical and technical programming environment, while you study.

Scholarships

A scholarship for the full fees of the MSc will be offered to an outstanding applicant. The scholarship is available to UK/EU and overseas students, studying full-time. To be considered for the scholarship, please include with your full application a one-page essay with your answer to the question:

'What are the challenges that Data Science faces and how would you address those challenges?'

The submission deadline for anyone wishing to be considered for the scholarship is: 1 MAY 2017

Teaching and learning

The teaching and learning methods we use mean that students’ specialist knowledge and autonomy increase as they progress through each module. Active researchers guide your progress in the areas of machine learning, data visualization, and high-performance computing, which culminates with an individual project. This is an original piece of research conducted with academic supervision, but largely independently and, where appropriate, in collaboration with industrial partners.

Taught modules are delivered through a series of 20 hours of lectures and 10 hours of tutorials/laboratory sessions. Lectures are normally used to:
-Present and exemplify the concepts underpinning a particular subject.
-Highlight the most significant aspects of the syllabus.
-Indicate additional topics and resources for private study.

Tutorials help you develop the skills to apply the concepts we have covered in the lectures. We normally achieve this through practical problem solving contexts.

Laboratory sessions give you the opportunity to apply concepts and techniques using state-of-the-art software, environments and development tools.

In addition to lectures, laboratory sessions and tutorial support, you also have access to a personal tutor. This is an academic member of staff from whom you can gain learning support throughout your degree. In addition, City’s online learning environment Moodle contains resources for each of the modules from lecture notes and lab materials, to coursework feedback, model answers, and an interactive discussion forum.

We expect you to study independently and complete coursework for each module. This should amount to approximately 120 hours per module if you are studying full time. Each module is assessed through a combination of written examination and coursework, where you will need to answer theoretical and practical questions to demonstrate that you can analyse and apply data science methods and techniques.

The individual project is a substantial task. It is your opportunity to develop a research-related topic under the supervision of an academic member of staff. This is the moment when you can apply what you have learnt to solve a real-world problem using large datasets from industry, academia or government and use your knowledge of collecting and processing real data, designing and implementing big data methods and applying and evaluating data analysis, visualisation and prediction techniques. At the end of the project you submit a substantial MSc project report, which becomes the mode of assessment for this part of the programme.

Course content

Data science is the area of study concerned with the extraction of insight from large collections of data.

The course covers the study, integration and application of advanced methods and techniques from:
-Data analysis and machine learning
-Data visualisation and visual analytics
-High-performance, parallel and distributed computing
-Knowledge representation and reasoning
-Neural computation
-Signal processing
-Data management and information retrieval.

It gives you the opportunity to specialise so, once you graduate, you can apply data science to any sector from health to retail. By engaging with researchers and industrial partners during the programme, you can develop your knowledge and skills within a real-world context in each of the above areas.

Core modules
-Principles of data science (15 credits)
-Machine learning (15 credits)
-Big Data (15 credits)
-Neural computing (15 credits)
-Visual analytics (15 credits)
-Research methods and professional issues (15 credits)

Elective modules
-Advanced programming: concurrency (15 credits)
-Readings in computer science (15 credits)
-Advanced databases (15 credits)
-Information retrieval (15 credits)
-Data visualisation (15 credits)
-Digital signal processing and audio programming (15 credits)
-Cloud computing (15 credits)
-Computer vision (15 credits)
-Software agents (15 credits)

Individual project - (60 credits)

Career prospects

From health to retail, and from the IT industry to government, the Data Science MSc will prepare you for a successful career as a data scientist. You will graduate with specialist skills in data acquisition, information extraction, aggregation and representation, data analysis, knowledge extraction and explanation, which are in high demand.

City's unique internships, our emphasis on machine learning and visual analytics, together with our links with the industry and Tech City, should help you gain employment as a specialist in data analysis and visualization. Graduates starting a new business can benefit from City's London City Incubator and City's links with Tech City, providing support for start-up businesses.

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Data Science brings together computational and statistical skills for data-driven problem solving. Read more
Data Science brings together computational and statistical skills for data-driven problem solving. This rapidly expanding area includes machine learning, deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.

Degree information

The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a wide range of industry partners.

Students undertake modules to the value of 180 credits.

The programme consists of three compulsory modules (45 credits), five optional modules (75credits) and a dissertation/report (60 credits).

Core modules
-Applied Machine Learning
-Introduction to Supervised Learning
-Introduction to Statistical Data Science

Optional modules - students choose a minimum of 30 credits and a maximum of 60 credits from the following optional modules:
-Cloud Computing (Birkbeck)
-Machine Vision
-Information Retrieval & Data Mining
-Statistical Natural Language Processing
-Web Economics

Students choose a minimum of 0 credits and a maximum of 30 credits from these optional Statistics modules:
-Statistical Design of Investigations
-Applied Bayesian Methods
-Decision & Risk

Students choose a minimum of 15 credits and a maximum of 15 credits from these elective modules:
-Supervised Learning
-Graphical Models
-Bioinformatics
-Affective Computing and Human-Robot Interaction
-Computational Modelling for Biomedical Imaging
-Stochastic Systems
-Forecasting

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. A thorough understanding of the fundamentals required from the best practitioners, and this programme's broad base, assists data scientists to adapt to rapidly evolving goals. This is a new degree and information on graduate destinations is not currently available. However, MSc graduates from across the department frequently find roles with major tech and finance companies including:
-Google Deepmind
-Microsoft Research
-Dunnhumby
-Index Ventures
-Last.fm
-Cisco
-Deutsche Bank
-IBM
-Morgan Stanley

Why study this degree at UCL?

The 2014 Research Excellence Framework ranked UCL first in the UK for computer science. 61% of its research work is rated as world-leading and 96% as internationally excellent.

UCL Computer Science staff have research interests ranging from foundational machine learning and large-scale data analysis to commercial aspect of business intelligence. Our extensive links to companies provide students with opportunities to carry out the research project with an industry partner.

The department also enjoys strong collaborative relationships across UCL; and exposure to interdisciplinary research spanning UCL Computer Science and UCl Statistical Science will provide students with a broad perspective of the field. UCL is home to regular machine learning masterclasses and big data seminars.

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This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. Read more
This award winning programme was designed in partnership with academics and employers to meet the specific requirements of industry. It equips graduates with essential knowledge and skills in the fields of operations, quality, and innovation management.

The programme aims to enhance graduates’ technical and management contribution in various enterprises including manufacturing, financial services, health services, government, and many more. It invites participants from many disciplines: it is suitable for Engineering, Science, Commerce, and Arts graduates who wish to pursue a career in a high-tech environment. This conversion course aspect is of significant interest to students who may wish to change direction from their course of undergraduate study and pursue a new career path that offers them sound employment prospects in a growth area.

The Masters of Applied Science (Enterprise Systems) programme is highly regarded by employers and there has always been a strong demand for our graduates. Graduates of this programme have secured roles in engineering, management and IT in companies such as Accenture, Apple, Boston Scientific, Medtronic, Ingersoll Rand, Pepsi Co. Kerry Group, IBM, Ericsson, Elan and Hewlett Packard.

Key features of the programme include:
• An ethos of innovation
• Engaging teaching methods
• Customised learning programme
• Multidisciplinary approach
• Extensive career opportunities.

Content

You can choose from the following courses. Technology Innovation & Entrepreneurship; Project Management; Applied Innovation; Operations Management; Operations Strategy; Logistics and Transportation; Operations Research; Lean Systems; Quality Systems; Human Reliability; Systems Reliability; Ergonomics; Safety and Risk Management; Regulatory Affairs; Decision Systems & Business Analytics; Information Systems Strategy & Planning.

You will also prepare an industrial based research thesis on a topic to be agreed with an academic supervisor. We will provide some company specific case studies (and industrial mentors) in Med Tech, High Tech and Services organisations.

What some of our employers say

Martin Conroy | Senior Director Medtronic

The Enterprise systems programme at NUI Galway focuses on providing the necessary knowledge to be excellent systems thinkers. Graduates have the ability to understand people; process as well as technology related issues in an organisation. The programme encourages candidates to analyse problems using scientific methods and to generate innovative and effective solutions to these problems. Furthermore graduates are given real skills such as the ability to work in a team and communicate well. Such skills are essential to fast moving high tech companies like ours.

Alan Phelan | CEO Nucleus VP Group

We have engaged and recruited graduates and found them to be great problem solvers and critical thinkers. Their background in lean systems has been very applicable to a number of our companies where they have helped to implement sound systems and processes which have allowed our subsidiaries to scale rapidly.

What some of our graduates say

Paul Gleeson | Accenture

The programme is well delivered as there is a nice balance between practical and classroom based learning. I found the lecturers to be some of the most helpful and engaging people I have come across during my studies as they take a hand on approach to getting students involved in class discussions and debates. All in all, the programme is an excellent foundation for finding future employment opportunities due to the high level of personal and professional development you will obtain. It helped open up numerous career opportunities for me so it is a programme that I would highly recommend.

Sean Hehir | Marvao Medical

With a broad subject choice the Masters of Applied Science at NUI Galway allowed me to tailor the course to focus on the areas of interest to me which also complemented my science degree. Through team-oriented projects I developed better inter-personal skills and grew exponentially both professionally and personally. With a flexible course structure and forward thinking/innovative faculty the degree encourages and inspires entrepreneurship and innovation. The course is very relevant to current industrial practices as I found I had a working knowledge of the medical device industry from day one in my current job.

Paul McCormack | Allergan

I undertook the Masters of Applied Science in NUI Galway with the aim of acquiring new skills and knowledge to aid in my future career progression. The course was challenging and required high standards throughout. While striving to meet these standards I believe I have greatly improved my knowledge of business systems and gained valuable new skills. I believe the lessons learnt during the course will facilitate my personal and professional development into the future.

Wenjing Tang | Ernst and Young

The Master of Applied Science (Enterprise systems) programme offers a variety of multidisciplinary modules, which was a great conversion for me from the pure technical background. The essential knowledge and skills I gained from the course help me to work in different roles, either as a software developer in a technology company or an IT consultant in a financial service company. The programme is a great foundation to pursue wider career path.

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In the future, agricultural and horticultural production will demand new intellectual and technological understanding and skills. Read more
In the future, agricultural and horticultural production will demand new intellectual and technological understanding and skills. The new technologies of sensors, computing, data analysis, remote sensing, robotics, drones and systems of data analysis and interpretation will allow new and sophisticated ways of managing both productive and natural environments.

The course will explore and study the high level of technical innovation currently being applied to agricultural and horticultural production, as will business management and the entrepreneurial skills that will be of fundamental importance to those entering this dynamic, technical based sector. Students will gain skills in data capture, processing, infographics, and the application of such technologies to all aspects of production and for the management of natural environments.

This course will be of relevance to those wishing to start a career in this emerging industry, join an established company, or looking to develop the skills needed to start their own enterprise.

Structure

The course may be studied full-time over 12 months. You will study six modules over the autumn and spring terms, followed by a Research Project, which is carried out over the summer to be submitted the following September. This may include a viva voce examination.

You will have the opportunity to engage with real-world problems, to find solutions to current issues and experience the working world of new technologies in animal and crop production, and the natural environment.

Modules are assessed primarily by coursework. Some modules have an examination as part of the assessment.

Modules

• 4230 Production Resource Management
• 4231 Research Project in Agricultural Technology and Innovation
• 4232 Business Development
• 4233 Computing and Information Technology in Precision Agriculture
• 4234 Livestock Production Technology
• 4235 Environmental Technology
• 4236 Crop Production Technology

Career prospects

Graduates are highly likely to go on to pursue a career within:

• The high-tech agricultural and environmental sectors
• Industries allied to crop and animal production
• Technical consultancy
• Government and international agencies
• The development of new companies through entrepreneurial initiatives

Potential job opportunities

• Agricultural and horticultural engineering
• Information technology
• Resource appraisal
• Agronomy
• Farm management

How to apply

For information on how to apply, please follow this link: https://www.rau.ac.uk/STUDY/POSTGRADUATE/HOW-APPLY

Funding

For information on funding, please view the following page: https://www.rau.ac.uk/study/postgraduate/fees-and-funding/funding

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This sandwich course will provide knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
This sandwich course will provide knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations.

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This course will be based at our Stoke-on-Trent Campus from Summer 2016.

Course content

Throughout the course you will be invited to attend guest lectures, the guest will also be delivering workshops and conducting seminars with the students. Our visiting tutors are national and international security experts.

You will also have an opportunity to achieve industry recognised certification in Certified Ethical hacking.

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

Read less
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations. International (none UK / EU) students who require the Tier 4 visa for a full time study in the UK are not able to apply for the Sandwich degree initially due to Immigration regulations.
However, we do encourage International students on a Tier 4 visa , once enrolled, to apply for a placement. Students who are successful with finding a placement will be provided with help and advice with their visa extension application (subject to the University deadlines and Immigration requirements).

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This course will be based at our Stoke-on-Trent Campus from Summer 2016.

Course content

On the computing extended MSc you will spend your first semester studying modules which have been written to provide you with the academic, professional and technical skills that you will need to succeed on your chosen award.

All students on the extended MSc study the same modules for one semester and then study specialist modules depending on their degree. This means that whether you have chosen MSc Computer Science, MSc Cyber Security, MSc Web Development or any of our other taught MSc Computing awards, you will study the following modules in your first semester:

Academic English: This module will help you to develop your English Language speaking, listening, reading and writing skills and will introduce you to the conventions of academic writing. Study Skills & Employability: This module will help you to develop the skills and knowledge required to support study at Masters level. It will also help you to develop skills which will aid you in the job market and will look at things such as writing a C.V. and creating a personal development plan.

Computing Fundamentals: This is a double module which has been designed to provide an introduction to fundamental concepts which underpin Computing. The module will enable you to revise and refresh your existing skills to prepare you for study on your specialist awards.

Throughout the Cyber Security course you will be invited to attend guest lectures, the guest will also be delivering workshops and conducting seminars with the students. Our visiting tutors are national and international security experts.

You will also have an opportunity to achieve industry recognised certification in Certified Ethical hacking.

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

Read less
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Read more
The award will provide the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, able to use ‘information’ as a defensive or offensive weapon.

Today, Cyber-Operators are required to have an ‘enriched’ background drawing elements of practical experience from fields as diverse as sociology, psychology, networks and network security, computer science and computer security, information management and information security, software engineering and reverse engineering, and of course, the law.

We have a diverse number of placements with companies from the security industry, high tech crime units and government organisations. Unfortunately applicants who require a Tier 4 visa for study in the UK are not able to apply for the Sandwich degree in the first instance due to visa regulations. We encourage International students, once enrolled, to apply for a placement and if successful apply to extend their visa and transfer to the sandwich award

In January 2014 Staffordshire University announced exciting plans to create one main city campus in Stoke-on-Trent. This is to confirm this course will move from our Stafford Campus to Stoke-on-Trent Campus from Summer 2016.

[[Course content
On the computing extended MSc you will spend your first semester studying modules which have been written to provide you with the academic, professional and technical skills that you will need to succeed on your chosen award. All students on the extended MSc study the same modules for one semester and then study specialist modules depending on their degree. This means that whether you have chosen MSc Computer Science, MSc Computer Networks & Security, MSc Web Development or any of our other taught MSc Computing awards, you will study the following modules in your first semester:

Academic English: This module will help you to develop your English Language speaking, listening, reading and writing skills and will introduce you to the conventions of academic writing.

Study skills & Employability: This module will help you to develop the skills and knowledge required to support study at Masters level. It will also help you to develop skills which will aid you in the job market and will look at things such as writing a C.V. and creating a personal development plan.

Computing Fundamentals: This is a double module which has been designed to provide an introduction to fundamental concepts which underpin Computing. The module will enable you to revise and refresh your existing skills to prepare you for study on your specialist awards.

After successfully completing the first semester you will commence your course specific study

Our purpose-built state of the art security laboratory offers each student a unique experience in enhancing your skills and knowledge in Cyber Security. As a result of winning a recent £5 million STEM bid, you will benefit from state of the art hardware resources, which will enhance your learning.

You will gain:
-Sound understanding of the computer science.
-Sound understanding of TCP-IP networks, the TCP-IP suite and its supporting protocols.
-Sound understanding and practical knowledge of digital forensics incidence response.
-Understanding and practical knowledge of managing information at all levels.
-Practical knowledge of the different types of computer crime.
-Ability to use with competency cyber-security toolkits.
-Ability to follow strict policies and procedures with meticulous record keeping.
-Good understanding of people and their motivational catalysts.
-Knowledge of evidence law and legal procedures.
-Ability to write reports on technical issues in a non-technical manner.
-Ability to address large audiences in a formal manner and affect their decision making process.

Core Modules
-Computer Security – Low Level
-Cyber Operations
-Malware analysis and Reverse Engineering
-Research Methods
-Operating Systems Security
-Digital Forensics & Incidence Response

Option Modules*
-Network Security with CISCO
-Network Security
-Penetration Testing
-Computer Security – High Level

*If you have CCNA certification (or an equivalent CISCO background), there will be the option of doing Network Security with the CISCO curriculum. Those of you who are not CCNA certified (or without an equivalent CISCO background), will do a less practical module of similar learning outcomes. After Teaching Block 2 you will have an option, again based on your prior knowledge on ethical hacking (and/or background, qualifications), for doing either Computer Security – High Level, which focuses on ethical hacking, or a more technical module on Penetration Testing.

Graduate destinations

The award will provide you with the knowledge of the latest cyber security principles, practices, tools and techniques, taught by a team of specialist staff in purpose-built cyber security laboratories. Graduates will be Cyber-operators, equipped with the skills to work in the security industry.

Read less
The course covers a combination of the technical skills and management knowledge essential in the development of innovative solutions to complex technical business problems. Read more
The course covers a combination of the technical skills and management knowledge essential in the development of innovative solutions to complex technical business problems.

This course will provide you with a thorough understanding of:
- leading technological and engineering projects;
- managing teams, engineering functions and organisations;
- developing new products and services;
- designing and managing the supply chain; and
- the economic aspects and decision-making processes of engineering projects; and electromechanical systems.

The course will offer you the opportunity to acquire and develop the skills and tools necessary to progress to management positions within an organisation. It will also build on your existing technical knowledge, relating it to the management aspects of the course by means of case studies and projects. The course balances academic theory with practical opportunities to demonstrate engineering management capabilities, and deliver solutions to real problems through assignments and projects.

See the website http://www.lsbu.ac.uk/courses/course-finder/masters-engineering-management

Modules

- Technology evaluation and commercialisation
In this module you'll deploy an algorithmic model to evaluate the business opportunity that can be created from a technology's unique advantages. You'll be guided towards identifying a technology project idea that you will evaluate for its business potential. To do this you'll conduct detailed research and analysis in order to evaluate the business potential of this technology idea. The outcomes from this will serve as the basis for implementation of the selected technology in the business sense. Through the module you'll develop the appropriate commercialisation strategy and write the business plan for your high-tech start-up company.

- Technical, research and professional skills
This module is taught to all our engineering Masters students; it provides training for the skills that are necessary for successful completion of Masters studies, as well as your professional development in the long-term future. More specifically, the module teaches how to search and gather relevant technical information, how to extract the essence from a piece of technical literature, how to carry out a critical review of a research paper, how to write a feasibility report, how to give presentations and put your thoughts across effectively, and how to manage a project in terms of time and progress in a group project environment.

- Economic aspects of engineering projects
This module focuses on economic management and viability appraisal. It develops the specific expertise that an engineering manager may need in order to construct and critically examine effective economic arguments. The module will arm you with sound economic assessment techniques and processes, as well as providing you with skills to produce effective economic appraisal documents. You'll critically evaluate the financial risks involved in engineering projects and economic decision-making processes. It will include a special focus on R&D and new technologies projects.

- Electromechanical systems and manufacturing technology
This module covers a broad range of conventional and advanced manufacturing technologies in the context of engineering management. You'll develop your understanding of the strategic significance of high value manufacturing, in terms of new and emerging technologies and the management of associated assets as contributory factors in achieving a sustainable competitive advantage. You'll appreciate the synergistic integration of mechanical engineering, electronic control and systems and understand how they are realised as mechatronics solutions to improve manufacturing processes, effectively manage time, waste and energy thus enhancing the competitive advantage of the business. The themes of globalization, concurrent engineering and related manufacturing strategies are explored through lectures, case studies and a combination of interactive workshop and laboratory sessions.

- Supply chain engineering and operations management
This module explores the concepts and strategies related to supply chain and operations management within an engineering context. It develops your understanding of the issues practising engineers can expect to encounter, so enabling you to make informed strategic decisions with respect to the management of activities associated with the creation of products and services. Whilst exploring these key themes the module will closely examine current, established and emerging procedures and processes related to the effective allocation of resources within a variety of engineering environments. A combination of lectures, workshops and case studies will be used to develop your ability to effectively apply a range of tools and methodologies associated with strategic planning, effective implementation and problem resolution.

- Energy, the environment and product life-cycle
This module is composed of three elements. The first concentrates on energy utilisation and management; the second on environmental issues; and the third on the Product Life Cycle. The module addresses the ethical, economic and socio/cultural changes in the society that will be influenced by (and have an influence on) engineering practice. This module will enhance your ability to think critically about future challenges and will also challenge you to explore alternative strategies and tools to develop new sustainable engineering solutions. This module will cover legislative issues, enabling you to work with current legislation, evaluate and possibly develop appropriate environmental legislation.

- MSc engineering project / dissertation
This module requires you to undertake a major project in an area that is relevant to your Masters course. You'll choose your project and carry it out under the guidance of your supervisor. At the end of the project, you are required to present a dissertation, which forms a major element of the assessment. The dissertation tests your ability to integrate information from various sources, to conduct an in-depth investigation, to critically analyse results and information obtained and to propose solutions. The other element of the assessment includes an oral examination (viva-voce). The Individual Project carries 60 credits and is a major part of a Masters program.

Methods of assessment

Assessment is through examinations and also practical work and assignments using case studies, group work, research projects and presentations.

Development of practical skills

You'll develop your practical engineering skills through work carried out in laboratories and workshops; in industry through supervised work experience; in individual and group project work; in design work; and in the development and use of computer software in design, analysis and control. Evidence of group working and of participation in a major project is expected.

Overview course structure

The course is based on two semesters per academic year with three modules being delivered and assessed in each semester on the full-time mode. The part-time curriculum consists of the same modules, set out over two years.

Employability

The Master in Engineering Management develops those areas of management that you'll require to progress in a management career, but firmly anchored in an engineering context.

Graduates will possess a unique set of technical and management skills which should make them very attractive to prospective employers, especially in technology or engineering led companies.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

- direct engagement from employers who come in to interview and talk to students
- Job Shop and on-campus recruitment agencies to help your job search
- mentoring and work shadowing schemes.

Read less
Our Masters in Electrical and Electronic Engineering is a specialist course designed for engineering graduates to enhance their skills in this area of high technology. Read more
Our Masters in Electrical and Electronic Engineering is a specialist course designed for engineering graduates to enhance their skills in this area of high technology. The ever increasing pace of developments in all areas of electrical and electronic engineering, (and in particular in the systems that are related to energy and the environment), requires engineers with a thorough understanding of operation principles and design methods for various modern electrical and electronic systems. As a graduate you'll be able to not only respond to the latest changes but also to look ahead and help in shaping future developments.

The unique features of this course are that the traditional electrical and electronic engineering subjects are supported by the more modern topics of computer control and machine learning techniques, which are at the forefront of modern electrical and electronic systems in the industry today. This course offers an integrated systems approach to engineering, incorporating modules in advanced power electronics and renewable energy systems, advanced instrumentation and control with signal processing, real-time systems and machine learning techniques.

There is an increasing demand for skilled engineers who are able to design and maintain electrical and electronic systems that are at the forefront of current technologies. These positions cover many industries, hence graduates from this course can expect significantly enhanced job prospects in electrical, electronic as well as systems engineering.

See the website http://www.lsbu.ac.uk/courses/course-finder/electrical-electronic-engineering-msc

Modules

- Digital signal processing
This module introduces the theory behind digital signal processing and how DSP can be implemented in real-time. You will gain an understanding of how to program hardware to perform fundamental DSP algorithms such as filtering and spectral analysis. You will gain a fundamental understanding of DSP algorithms and how to implement them in hardware for real-time applications.

- Pattern recognition and machine learning
This module introduces the fundamentals of both statistical learning theory and practical approaches for solving pattern recognition problems. Further, it consolidates lectures with experimental computer-based assignments to inculcate the basics of machine learning and classification. The module covers the fundamentals of pattern recognition and provides the essential background to machine learning and classification.

- Advanced instrumentation and control
This module develops advanced techniques in data acquisition and manipulation required for instrumentation and control applications. Further, it consolidates lectures with experimental computer-based assignments using industry standard hardware and software (NI DAQ and LabView). The module develops your knowledge and experience in data acquisition and virtual instrumentation used in Industry for control purposes.

- Advanced power electronics and renewable energy systems
The material in this module is divided into two parts. The first part covers the analysis and operation of power electronics and machines and their application in the areas of power conversion, power conditioners and electrical machine drives mostly, found on the 'load' side of the electrical power system but sometimes integrated into the supply network. This part will also include elements of computer control systems that are designed to produce non-sinusoidal waveforms and methods of dealing with undesirable harmonics and their effects on the power network. The second part of the module will focus on renewable energy and sustainability. This will include: solar cells, biomass, wind and wave power; intelligent environmental sensing and feedback (in areas of pollution, petroleum, energy consumption, etc.); and renewable design and effectiveness (solar, wind and wave).

- Technology evaluation and commercialization
In this module you will follow a prescribed algorithm in order to evaluate the business opportunity that can be created from a technology's unique advantages. You will be guided towards identifying a technology project idea that you will evaluate for its business potential. To do this you will conduct detailed research and analysis following a prescribed algorithmic model, in order to evaluate the business potential of this technology idea. The outcomes from this will serve as the basis for implementation of the selected technology in the business sense. Thus you will develop the appropriate commercialisation strategy and write the business plan for their high-tech start-up company.

- Technical, research and professional skills
This module provides training for the skills that are necessary for successful completion of the MSc studies in the near future and for professional development in the long-term future. More specifically, the module teaches how to search and gather relevant technical information, how to extract the essence from a piece of technical literature, how to carry out a critical review of a research paper, how to write a feasibility report, how to give presentations and put your thoughts across effectively, and how to manage a project in terms of time and progress in a group project environment. These are designed to enhance the technical and analytical background that is necessary for the respective MSc stream.

- MSc engineering project
This module requires you to undertake a major project in an area that is relevant to their MSc course. You will chose your project and carry it out under the guidance of your supervisor. At the end of the project, you are required to present a dissertation, which forms a major element of the assessment. The dissertation tests your ability to integrate information from various sources, to conduct an in-depth investigation, to critically analyse results and information obtained and to propose solutions. The other element of the assessment includes an oral presentation. The Individual Project carries 60 credits and is a major part of MSc program.

Employability

The acquired skills in computer control and AI techniques offer additional scope for jobs in the design of decision support systems that cross traditional boundaries between engineering and other disciplines. (i.e. medical, finance). Successful graduates will enjoy exciting career opportunities from a wide range of industries, such as electrical energy supply and control, electronics and instrumentation products and services, intelligent systems and automation to include: automotive, aerospace, electrical and electronic consumer products, telecommunications. The students can also pursue PhD studies after completing the course.

Engineering management skills

Engineering employers have expressed their need for engineers with a solid grasp of the business requirements that underpin real engineering projects. Our course incorporates a management-related module focused on entrepreneurship and project management. This management module develops our graduates' commercial awareness and ensures that they have the skill-set valued by industry employers.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

- direct engagement from employers who come in to interview and talk to students
- Job Shop and on-campus recruitment agencies to help your job search
- mentoring and work shadowing schemes.

Professional links

The School has a strong culture of research and extensive research links with industry through consultancy works and Knowledge Transfer Partnerships (KTPs). Teaching content on our courses is closely related to the latest research work.

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