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Master in BIG DATA. Read more
Master in BIG DATA : Data Analytics, Data Science, Data Architecture”, accredited by the French Ministry of Higher Education and Research, draws on the recognized excellence of our engineering school in business intelligence and has grown from the specializations in Decision Support, Business Intelligence and Business Analytics. The Master is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of Business Analytics.

This program leads to a Master degree and a Diplôma accredited by the French Ministry of Higher Education and research.

Objectives

Business Intelligence and now Business Analytics have become key elements of all companies.

The objective of this Master is to train specialists in information systems and decision support, holding a large range of mathematic- and computer-based tools which would allow them to deal with real problems, analyzing their complexity and bringing efficient algorithmic and architectural solutions. Big Data is going to be the Next Big Thing over the coming 10 years.

The targeted applications concern optimization in the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it’s the development of BI systems architecture. These applications have a role in most business domains: logistics, production, finance, marketing, client relation management.

The need for trained engineering specialists in these domains is growing constantly: recent studies show a large demand of training in these areas.

Distinctive points of this course

• The triple skill-set with architecture (BI), data mining and business resource optimization.
• This master will be run by a multidisciplinary group: statistics, data mining, operational research, architecture.
• The undertaking of interdisciplinary projects.
• The methods and techniques taught in this program come from cutting-edge domains in industry and research, such as: opinion mining, social networks and big data, optimization, resource allocation and BI systems architecture.
• The Master is closely backed up by research: several students are completing their end-of-studies project on themes from the [email protected] laboratory, followed and supported by members from the laboratory (PhD students and researcher teachers).
• The training on the tools used in industry dedicated to data mining, operational research and Business Intelligence gives the students a plus in their employability after completion.
• Industrial partnerships with companies very involved in Big Data have been developed:
• SAS via the academic program and a ‘chaire d’entreprise’ (business chair), allowing our students access to Business Intelligence modules such as Enterprise Miner (data mining) and SAS-OR (in operational research).

Practical information

The Master’s degree counts for 120 ECTS (European Credit Transfer System) in total and lasts two years. The training lasts 1252 hours (611 hours in M1 and 641 hours in M2). The semesters are divided as follows:
• M1 courses take place from September until June and count for a total of 60 ECTS
• M2 courses take place from September until mid-April and count for a total of 42ECTS
• A five-month internship (in France) from mid- April until mid- September for 9 ECTS is required and a Master thesis for 9 ECTS.

Non-French speakers will be asked to participate to a one week intensive French course that precedes the start of the program and allows students to gain the linguistic knowledge necessary for daily interactions.

[[Organization ]]
M1 modules are taught from September to June (60 ECTS, 611 h)
• Data exploration
• Inferential Statistics (3 ECTS, 30h, 1 S*)
• Data Analysis (2 ECTS, 2h, 1 S)
• Mathematics for Computer science
• Partial Differential Equations and Finite Differences (3 ECTS, 30h, 1 S)
• Operational Research: Linear Optimization (2 ECTS, 20h, 1 S)
• Combinatory Optimization (2 ECTS, 18h, 1 S)
• Complexity theory (1 ECTS, 9h, 1 S)
• Simulation and Stochastic Process (3 ECTS, 30h, 2 S**)
• Introduction to Predictive Modelling (2ECTS, 21h, 2 S)
• Deterministic and Stochastic Optimization (3 ECTS, 30h, 2 S)
• Introduction to Data Mining (2 ECTS, 21h, 2 S)
• Software and Architecture
• Object-Oriented Modelling (OOM) with UML (3 ECTS, 30h, 1 S)
• Object-Oriented Design and Programming with Java (2 ECTS, 30h, 1 S)
• Relational Database: Modelling and Design (3ECTS, 30h, 1 S)
• PLSQL (2 ECTS, 21h, 2 S)
• Architecture and Network Programming (3 ECTS, 30h, 2 S)
• Parallel Programming (3 ECTS, 30h, 2 S)
• Engineering Science
• Signal and System (3 ECTS, 21 h, 1 S)
• Signal processing (3 ECTS, 30h, 1 S)

• Research Initiation
• Scientific Paper review (1 ECTS, 9h, 1 S)
• Final research project on BIG DATA (5 ECTS, 50h, 2 S)
• Project Management
• AGIL Methods & Transverse Project (2 ECTS, 21h, 2 S)
• Languages and workshops
• French and Foreign languages (6 ECTS, 61h, 1&2 S)
• Personal and Professional Project (1 ECTS, 15, 1 S)
*1 S= 1st semester, ** 2 S= 2nd semester

M2 Program: from September to September (60 ECTS, 641h)
M2 level is a collection of modules, giving in total 60 ECTS (42 ECTS for the modules taught from September to April, plus 9 ECTS for the internship and 9 ECTS for the Master thesis).

Computer technologies
• Web Services (3 ECTS, 24h, 1 S)
• NOSQL (2 ECTS, 20h, 1 S)
• Java EE (3 ECTS, 24, 1S)
Data exploration
• Semantic web and Ontology (2 ECTS, 20h, 1 S)
• Data mining: application (2 ECTS, 20h, 1S)
• Social Network Analysis (2ECTS, 18h, 1S)
• Collective intelligence: Web Mining and Multimedia indexation (2 ECTS, 20h, 2 S)
• Enterprise Miner SAS (2 ECTS, 20h, 2 S)
• Text Mining and natural language (2 ECTS, 20h, 2 S)
Operations Research
• Thorough operational research: modelling and business application (2 ECTS, 21h, 1 S)
• Game theory (1 ECTS, 10h, 1 S)
• Forecasting models (2 ECTS, 20h, 1 S)
• Constraint programming (2 ECTS, 20h, 2 S)
• Multi-objective and multi-criteria optimisation (2 ECTS, 20h, 2 S)
• SAS OR (2 ECTS, 20h, 2 S)
Research Initiation Initiative
• Scientific Paper review (1 ECTS, 10h, 1 S)
• Final research project on BIG DATA (2 ECTS, 39, 2 S)
BI Architecture
• BI Theory (2 ECTS, 20h, 2 S)
• BI Practice (2 ECTS, 20h, 2 S)
Languages and workshops (4 ECTS, 105h, 1&2 S)
• French as a Foreign language
• CV workshop
• Personal and Professional Project
Internship
• Internship (9 ECTS, 22 weeks minimum)
Thesis
• Master thesis (9 ECTS, 150h)

Teaching

Fourteen external teachers (lecturers from universities, teacher-researchers, professors etc.), supported by a piloting committee, will bring together the training given in Cergy.

All the classes will be taught in English, with the exception of:
• The class of FLE (French as a foreign language), where the objective is to teach the students how to understand and express themselves in French.
• Cultural Openness, where the objective is to enrich the students’ knowledge of French culture.
The EISTI offers an e-learning site to all its students, which complements everything the students will learn through their presence and participation in class:
• class documents, practical work and tutorials online
• questions and discussions between teachers and students, and among students
• a possibility of handing work in online

All Master’s students are equipped with a laptop for the duration of the program that remains the property of the EISTI.

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The world is awash with data and much more is on the way, creating a tidal wave of Big Data. Data Engineers develop the infrastructure to store, manage, analyse this wave of data, to bridge the gap between Data and Computer Science. Read more
The world is awash with data and much more is on the way, creating a tidal wave of Big Data. Data Engineers develop the infrastructure to store, manage, analyse this wave of data, to bridge the gap between Data and Computer Science. This unique course will give you the skills you’ll need to succeed as a Data Engineer.

Why study Data Engineering at Dundee?

The role of “Data Scientist” has been described as the “sexiest job of the 21st Century. However, there is a emerging a new role, that of Data Engineer as more companies are realising they need employees with specific skills to handle the amount of data that is being generated and the coming tidal wave from the Internet of Things.

This MSc has been created with industry input to prepare its students with the skills to handle this wave of data and to be at the forefront of its exploitation. Students on the sister programmes (“Data Science” and “Business Intelligence”) have gone on to work for some of the biggest companies in the industry and we are confident that graduates from this MSc will have the same success.

The School of Computing at the University of Dundee has been successfully offering related MSc programmes such as Business Intelligence and Data Science since 2010. These innovative programmes attract around 40 students per year, drawn from across Europe and Overseas.

What's so good about Data Engineering at Dundee?

Our facilities:
You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Special features

The University of Dundee has close ties with the Big Data industry, including Teradata, Datastax and Microsoft. We have worked with SAS, Outplay, Tag, GFI Max, BrightSolid and BIPB, and our students have enjoyed guest lectures from Big Data users such as O2, Sainsbury’s, M&S and IBM.

You will be able to work with a range of leading researchers and tutors, including top vision and imaging researchers and BI experts. Our honorary staff include legal experts, entrepreneurs and renowned industry experts such as John Richards of the newly formed IBM Watson Group.

How you will be taught

The course will be taught by staff of the School of Computing. Depending on the modules you take this will include Andy Cobley, Professor Mark Whitehorn, and Professor Stephen McKenna.

What you will study

The course will be taught in 20 credit modules with a 60 credit dissertation. Students will require to complete 180 credits for the award of the MSc (including 60 credits for the dissertation). Students completing 120 credits (without the dissertation) will be eligible for a Postgraduate Diploma.

Course content

Each module on the course is designed to give the student the skills and understanding they need to succeed in the Data Engineering/ Science field. Content on the course includes (but is not limited to):

CAP theorem
Lamda Architecture
Cassandra, Neo4j and other nosql databases
The Storm distributed real time computation system
Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
Spark and Shark frameworks
Data Engineering languages such as Python, erlang, R, Matlab
Vision systems, which are becoming increasingly important in data engineering for extracting features from large quantities of images such as from traffic, medical and industrial
RDBMS systems which will continue to play an important role in data handing and storage. You will be expected to research the history of RDMBS and delve in to the internals of modern systems
OLAP cubes and Business Intelligence systems, which can be the best and quickest way to extract information from data stores
Goals of machine learning and data mining
Clustering: K-means, mixture models, hierarchical
Dimensionality reduction and visualisation
Inference: Bayes, MCMC
Perceptrons, logistic regression, neural networks
Max-margin methods (SVMs)
Mining association rules
Bayesian networks

How you will be assessed

The course is assessed through a combination of examinations, coursework, presentations and interviews. Each module is different: for instance the Big data module has 40% coursework, consisting of Erlang programming and a presentation on nosql databases, along with an examination worth 60%.

Careers

Our experience suggests that graduates of this course will have most impact in the following areas:

Cloud and web based industries that handle large volumes of fast moving data that need to be stored, analysed and maintained. Examples include the publishing industry (paper, TV and internet), messaging services, data aggregators and advertising services

Internet of Things. A large amount of data is being generated by devices (robotic assembly lines, home power management, sensors etc.) all of which needs to be stored and analysed.

Health. The NHS (and others) are starting to store and analyse patient data on an unprecedented scale. The healthcare industry is also combining data sources from a large number of databases to improve patient well-being and health outcomes

Games industry. The games industry records an extraordinary amount of data about its customers' play activities, all of which needs to be stored and analysed. This course will equip students with the knowledge and skill to engage with the industry.

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The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. Read more
The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. As well as studying a range of taught courses reflecting the state-of-the-art and the expertise of our internationally respected academic staff, you will undertake a significant programming team project, and develop your own skills in conducting a data science project.

Why this programme

◾The School of Computing Science is consistently highly ranked achieving 2nd in Scotland and 10th in the UK (Complete University Guide 2017)
◾The School is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education.
◾We currently have 15 funded places to offer to home and EU students.
◾You will have opportunities to meet employers who come to make recruitment presentations, and often seek to recruit our graduates during the programme.
◾You will benefit from having 24-hour access to a computer laboratory equipped with state-of-the-art hardware and software.

Programme structure

Modes of delivery of the MSc in Data Science include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

Core courses

◾Big data
◾Data fundementals
◾Information retrieval
◾Machine learning
◾Research methods and techniques
◾Text as data
◾Web science
◾Masters team project.

Optional courses

◾Advanced networking and communications
◾Advanced operating systems
◾Algorithmics
◾Artificial intelligence
◾Big data: systems, programming and management
◾Computer architecture
◾Computer vision methods and applications
◾Cryptography and secure development
◾Cyber security forensics
◾Cyber security fundamentals
◾Distributed algorithms and systems
◾Enterprise cyber security
◾Functional programming
◾Human computer interaction
◾Human computer interaction: design and evaluation
◾Human-centred security
◾Information retrieval
◾Internet technology
◾IT architecture
◾Machine learning
◾Mobile human computer interaction
◾Modelling reactive systems
◾Safety critical systems.
◾Software project management
◾Theory of Computation

Depending on staff availability, the optional courses listed here may change.

If you wish to engage in part-time study, please be aware that dependent upon your optional taught courses, you may still be expected to be on campus on most week days.

Industry links and employability

◾The advent of Big Data tools in recent years has facilitated the large-scale mining of voluminous data, to allow actionable knowledge and understanding, known as Data Science. For instance, search engines can gain insights into how ambiguous a query is according to the querying and clicking patterns of different users. Data Science combines a thorough background in Big Data processing techniques, combined with techniques from information retrieval and machine learning, to permit coherent and principled solutions allowing real insights and predictions to be obtained from data.
◾The programme includes a thorough grounding in professional software development, together with experience of conducting a development project. The programme will prepare you for a responsible position in the IT industry.
◾The School of Computing Science has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributors include representatives from IBM, J.P. Morgan, Amazon, Adobe, Red Hat and Bing.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in the IT industry.

The Data Lab

We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.

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The Master’s program in Data Science and Entrepreneurship combines management, entrepreneurship and business models with deep knowledge on data science methods from mathematics, statistics and computer science; understanding their limitations with regard to the law, regulations, and ethical considerations. Read more
The Master’s program in Data Science and Entrepreneurship combines management, entrepreneurship and business models with deep knowledge on data science methods from mathematics, statistics and computer science; understanding their limitations with regard to the law, regulations, and ethical considerations.

Why the Master's program in Data Science and Entrepreneurship?
Are you interested in deploying the potential power of big data to solve real-world problems? Is it a challenge for you to work with complex, structured and unstructured data? Do you like to transform innovative data-centered concepts and ideas into concrete novel and value-adding products and services? And to design business initiatives?

Data science entrepreneurs are able to monetize the flood of data that is generated in this digital age by exploiting the economic value of personal data, developing novel ways to get actionable insights from data streams and exploring novel marketing models. They will typically start up and/or innovate within data based product companies.

Therefore, in this English Master's program you will:
- Combine data science courses with courses that address the entrepreneurship pillar of the program
Examples of courses are: data integration and architecture, data mining, business process management, data entrepreneurship, and creative thinking and open innovation.

- Incorporate theories and concepts from legal and ethical aspects of business venturing, intellectual property, and ethical and privacy aspects of data.

- Apply data entrepreneurship in building a technology startup
The backbone of the program is formed by a series of courses called Data Entrepreneurship in Action (1-3). In these courses, student teams use data-driven methods to test the feasibility of an idea/innovation, build a data-intensive product/solution, propose sales channels and customers, and develop entrepreneurial skills in building a technology startup.

- Solve actual problems with real datasets from industrial partners
Representatives from the industrial partners will share actual problems and datasets in two or three applications domains from which student teams can choose. As 'clients' of the teams, the industrial representatives will actively work with our professors to coach the student teams.

This program is not yet registered in the Netherlands Central Register of Higher Education Study Programs (CROHO). A proposal for initial accreditation will be submitted to the Accreditation Organisation of the Netherlands and Flanders (NVAO). This procedure might take up to six months and there is no guarantee of a positive decision by the NVAO. Only after accreditation by the NVAO and subsequent CROHO registration can this program be started up.
For more information about accreditation, please visit http://www.nvao.com.

Associated Schools:

Law School
School of Social and Behavioral Sciences
School of Humanities

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As a Data Visualisation Designer you can contribute innovative solutions with the potential to transform societal challenges, by designing the human interface to increasingly complex problems. Read more

Why take this course?

As a Data Visualisation Designer you can contribute innovative solutions with the potential to transform societal challenges, by designing the human interface to increasingly complex problems.

On this course, you will learn how to create rich and meaningful stories with data. We will study digital content in any mode, whether it is in alphanumeric form, binary, vector, pixel, video, or others. The designer provides an important interface, that allows us to explore data and generates meaningful communication. This communication is predominantly visual, but with developments in Wearables and the Internet of Things, is also becoming increasingly physical, affective, networked and interactive. Data Visualisation Design spans traditional graphic and information design, interaction design, information architecture, computational design, design thinking and user-centred and user experience design.

What will I experience?

On this course you can:

Learn the theory and practice of data visualisation, data, interface/interaction design and user experience, and apply this to your own design
Critically question the role of data related to the social, political, economic and cultural through contextual research
Explore live data sets from real world scenarios, such as industry or charities like the digital humanitarian network
Develop independent research and project ideas to create innovative, forward thinking design solutions and experiences for a digital and data driven world

What opportunities might it lead to?

The course will prepare you to work in the design disciplines of the creative industries, with a focus on data visualisation, information design, computational design, digital content, interactivity and user experience. Data Visualisation designers are in demand in sectors including business, research, health, education, government/public service, the arts.

The skills gained on this course can also be applied to employment in UI (user interface) design, or focus on interaction as a UX (User experience) designer. The critical and contextual outlook allows you to position yourself as a strategist and operate in a consultative manner. The research aspect of the course would also suit a career in compulsory, further and higher education.

Careers include:

Data Visualisation Design
Information Design
Digital Graphic Design
UI (user interface) / UX (user experience) design
Interaction design

Module Details

The course is offered over one year (full-time) or two years (part-time).

You will study five units, one of which is shared with other MA courses in the School of Art and Design. There will be preparatory units delivering a grounding in practical skills, theoretical context and academic research (competencies and skills). You will also study units that allow more thematic engagement with interactive and data driven design in terms of theory such as critical design, affordances, experience and complexity. It will also provide a unit oriented towards employability, and incorporate live briefs and group work. These units work to catalyse your own ideas and research direction for the Major Project unit.

Core units currently comprise:

A Question of Research
Fundamentals of Data and Interaction Design
Digital Futures – Themes and Issues in Practice
Design Solutions for Enterprise, Society and Culture
Major Project

Programme Details

The teaching combines interactive lectures and group seminar discussions with support through one-to-one tutorials. You also receive feedback on your work through friendly but critical peer review in group sessions with other students, members of faculty and other experts as appropriate. One of the units includes working as a team. Your project work emphasises self-initiated learning which gives you the freedom to explore the specialist area of your interest, while being helpfully guided by your supervisor. The curriculum is very closely related to the research areas in the department, so the staff have cutting edge knowledge of the field and its potential for innovation.

Your learning is mostly assessed through the submission of practical course work, such as digital prototypes, and the documentation of the learning journey in sketchbooks, diaries, blogs or journals.

This will be documenting contextual research as well as stages in practical experimentation and annotation of reflection. There are some written elements to be submitted as well, mostly accompanying proposals/reports to contextualise your practice. The assessment also includes individual and group presentations, this mode is also used to give you formative feedback on your work throughout.

Here's how we assess your work:

Digital artefacts / prototypes
Learning journals
Proposals
Reports
Oral presentation

Student Destinations

This course is an opportunity to focus your creative design practice on the interactive, data driven, user centred and culturally contextualised. It also enhances your design career by upgrading your skills and widening your knowledge and thinking in the digital arena, allowing you to stay one step ahead of the rest. The independent research aspect of the course prepares you for further education in terms of a research degree and employment in R&D and/or education.

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This interdisciplinary MSc is aimed at students who wish to develop skills in the emerging discipline of Data Science. Read more
This interdisciplinary MSc is aimed at students who wish to develop skills in the emerging discipline of Data Science. Building upon data science fundamentals, a variety of pathways through the MSc are available and allow students to choose from a range of elective modules according to their skills, interests and career aspirations. Students then undertake a 12-week summer placement either within industry (in a business setting), or as part of an academic research project to consolidate their learning.

Optional pathways span fundamentals and also application areas including:
• Business Analytics: how to gain business insight from large and complex industrial data
• Data Mining: how data mining can be performed at scale, and in a range of application areas (eg marketing and finance, social computing)
• Health Informatics: how to build models and gain insight to improve public health and aid clinical decision making
• Systems and Technologies: how to build large-scale systems for answering data science questions
• Statistical Inference: how to specify models and build a statistical framework to gain insights from data

Modules
Core modules:
• Data Mining
• Data Science Fundamentals
• Generalised Linear Models
• Likelihood Inference
• Programming for Data Scientists

Optional (elective) Modules:
• Applied Data Mining
• Clinical Trials
• Data Mining for Marketing, Sales and Finance
• Elements of Distributed Systems
• Environmental Epidemiology
• Extreme Value Theory
• Forecasting
• Longitudinal Data Analysis
• Methods for Missing Data
• Multi-level Modelling
• Optimisation and Heuristics
• Principles of Epidemiology
• Statistical Genetics and Genomics
• Survival Analysis
• Systems Architecture and Integration

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The MSc in Architecture and Sustainable Environment (MASE) is a taught course aimed at professionals and academics world-wide with an interest in sustainability in the built environment, including architects, engineers, geographers, surveyors, historians and urban designers. Read more
The MSc in Architecture and Sustainable Environment (MASE) is a taught course aimed at professionals and academics world-wide with an interest in sustainability in the built environment, including architects, engineers, geographers, surveyors, historians and urban designers.

The MSc is offered by Centre for Architecture and Sustainable Environment, a new research centre in the Kent School of Architecture that promotes a cross-disciplinary approach to research in the field of sustainability in the built environment, bridging the traditional boundaries between the arts and the sciences, research and practice. The course content ranges from the development of the design skills and the technical and scientific understanding required to develop sustainable solutions for new and existing buildings, the analysis of historic buildings and past environment technologies, to a critical exploration of the historical and cultural context of sustainability and environmental design.

The course, which can be studied full-time or part-time, offers an academically rigorous and intellectually challenging learning environment, which aims to enhance career development within the field for professionals and academics. The over-arching aim of the programme is to provide participants with a systematic understanding of core and advanced areas of sustainable design through a combination of taught courses, research assignments and project work. Students will be asked to conduct rigorous technical and historical research and to explore the practical application of their findings in the context of design and technology.

Visit the website https://www.kent.ac.uk/courses/postgraduate/182/architecture-and-the-sustainable-environment

Course structure

The programme is aimed at professionals and academics with an interest in sustainability in the built environment, including architects, engineers, geographers, surveyors, historians and urban designers. The MSc promotes a cross-disciplinary approach to research in the field of sustainability in the built environment, bridging the traditional boundaries between architecture and the sciences, research and practice.

The course content ranges from the development of the technical and scientific understanding required to develop sustainable design solutions for new and existing buildings, the analysis of past environment technologies, to a critical exploration of the context of sustainability and environmental design.

The programme may lead to a postgraduate diploma, if taken without the dissertation.

Modules

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

AR827 - Principles of Environmental Design (30 credits)
AR828 - Rediscovery - Understanding Historic Buildings and Past Environmental T (30 credits)
AR829 - Monitoring and Modelling of Environmental Performance (30 credits)
AR830 - Sustainable Design Project (30 credits)
AR899 - Dissertation: Architecture and the Sustainable Environment (60 credits)

Assessment

Assessment is mostly based on coursework, with presentations, case-study analyses, design proposals, essays and the dissertation.

Programme aims

This programme aims to:

- enable students to develop systematic understanding of the effect of the built environment on the environmental performance and energy consumption of buildings, while optimising comfortable conditions for the occupants

- develop your understanding of the sustainability drivers for the built environment

- develop your in-depth knowledge of the theoretical principles of low carbon design

- develop the ability to analyse the environmental behaviour of historic structures and the efficiency of past environmental technologies, using modern scientific methods

- promote creativity in the integration of sustainable solutions in the built environment at different scales

- enable you to develop skills for physical monitoring and digital modelling of the environmental and energy performance of buildings

- provide you with the ability to work in multidisciplinary design teams

- promote and support independent research skills.

- enable you to develop the skills required for both autonomous practice and team-working.

- support you, so that you can fulfil your full potential in the programme.

Research areas

- Research centres

KSA incorporates the Centre for Research in European Architecture (CREAte), which focuses on research in architectural humanities and design, and Centre for Architecture and Sustainable Environment (CASE), which promotes research in the field of sustainable architecture.

- CREAte

The Centre provides a focus for research in architecture in the European context. Its emphasis is on the role and contribution of humanities to architecture and urban design in the context of urban and regional regeneration, nationally and internationally.

CREAte provides a platform for evening lectures by contemporary architects and scholars; hosting debates and events that are in the heart of architectural agenda of today.

The Centre builds upon its staff specialisms, interests and skills in the following areas: regional studies, contemporary architectural and urban theory and design, architectural history and theory (ranging from antiquity to contemporary European cities), sustainability, European topographies (landscape, urban, suburban and metropolitan) etc. Staff participate in the activities of AHRA – Architecture Humanities Research Association and are internationally published authors.

- CASE

The Centre promotes research in the field of sustainable environment regionally, nationally and internationally.

Its research focus encompasses different aspects and scales of the sustainable built environment from the individual building to the urban block, promoting the wider environmental agenda and keeping the School at the forefront of research and development in the field. CASE also pursues research into the historical and cultural dimension of environmental design to foster links between the sciences, arts and humanities. There is a strong interest in understanding the environmental behaviour of historic buildings and the strategies originally deployed to manage the internal environment.

The Centre has already secured funding from various sources. This includes three EPSRC projects on climate change weather data for a sustainable built environment, sustainability of airport terminal buildings and design interventions in the public realm for affecting human behaviour, and two TSB-funded projects on Building Performance Evaluation. CASE is also involved with the recent EPSRC large-scale network on Digital Economy Communities and Culture.

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

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The dual degree option is a four-year program to pursue the Master of Architecture and the Master of Landscape Architecture at the same time. Read more
The dual degree option is a four-year program to pursue the Master of Architecture and the Master of Landscape Architecture at the same time. The dual degree is certified with both the Canadian Architectural Certification Board and the Canadian Society of Landscape Architects. The dual degree program harmonizes architectural design with ecological consciousness to create an inclusive understanding of built and natural environments.

Innovation

We are the first, and so far the only, school in Canada to offer you the opportunity to pursue both degrees at the same time.

Tradition of excellence

The University of British Columbia is a global centre for research and teaching, ranked among the top 20 public universities in the world. Our school is recognized for its commitment to sustainable research, ranking 20th in the 2015 and 27th in the 2016 QS World University Rankings, the highest of all Canadian architecture schools.

The place

Vancouver is consistently named as one of the top five worldwide cities for liveability and quality of life. With diverse geographic regions and climates, a rich, multi-cultural history and a dynamic arts and culture scene, Vancouver is an amazing place to work and study.

Award-winning faculty

Our faculty are internationally renowned experts in their fields and have chosen to teach here in part because of our school’s reputation for excellence in research. Join us and you will learn from the people who are changing the way we think about design.

Tight-knit community

With low student-faculty ratios, we get to know you by name. We are proud of our small studios, intimate seminars, and personalized learning opportunities. Our support structure ensures that you have a successful experience. From academic guidance to health and wellness, we have an array of services to help you achieve your personal, academic and professional goals.

Mentor program

When entering our program, we pair you with a professional mentor. Our mentor roster includes many of the most prominent pracitioners in Vancouver. Paired with you through to licensure, your mentor will not only contribute to your experience while at SALA, but will help make your transition from school to practice smoother.

International experiences

As a SALA student, you will be able attend summer electives and studios set abroad. These courses range from 3 weeks to a full semester. In recent years, we have taken students to Brazil, Germany, India, Japan, Mexico, and the Netherlands. For a more immersive experience, you can also spend up to a year at one of our partner universities.

Employment opportunities

We have a wide variety of employment opportunities. We currently offer 90 annual teaching assistantships and nearly as many research, administrative, and technical positions. Whether it is leading an undergraduate seminar, analysing data in the lab, or assisting in the workshop, you will find a position that is right for you.

Our students get involved

Our students organize lunchtime lectures, host weekly social events, and curate gallery exhibitions of their work. They create public art on campus, organize design builds and attend conferences around the world. They are passionate about what they do, and we hope you will be too.

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The MSc in Data Science is aimed at providing opportunities for students who wish to establish expertise and employment in data-centric, largely quantitative areas within a broad range of professional disciplines and areas of employment. Read more
The MSc in Data Science is aimed at providing opportunities for students who wish to establish expertise and employment in data-centric, largely quantitative areas within a broad range of professional disciplines and areas of employment. A cross-disciplinary approach is therefore central to the delivery of the programme.

According to Hal Varian, Google Chief Economist, “The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades.” It is these skills and the knowledge that underpins them that are the focus of this programme.

The taught elements include:
Data ecology
Quantitative Data Analysis
Spatial Data Analysis
Analysing Qualitative Data
Advanced Decision Making

The dissertation element will focus on pure or applied aspects of the Data Science research agenda and will provide an opportunity for students to apply and enhance their new knowledge and skills under expert guidance.

The taught modules on this programme are available to be taken as credit bearing short courses by suitably qualified individuals.

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The Professional Doctorate in Data Science is aimed at professionals who wish to enhance and/or validate data-centric, evidence-based approaches within their chosen career through a combination of taught modules and doctoral research. Read more
The Professional Doctorate in Data Science is aimed at professionals who wish to enhance and/or validate data-centric, evidence-based approaches within their chosen career through a combination of taught modules and doctoral research. A cross-disciplinary approach is central to the delivery of this programme and is therefore suitable for professionals in a broad range of professional disciplines and areas of employment.

According to Hal Varian, Google Chief Economist, “The ability to take data—to be able to understand it, to process it, to extract value from it, to visualize it, to communicate it—that’s going to be a hugely important skill in the next decades.” It is these skills and the knowledge at depth that underpins them that are the focus of this programme.

The taught elements include:

Data ecology
Research Methods for Technologists
Applied Research Tools and Techniques
Spatial Data Analysis
Analysing Qualitative Data
Advanced Decision Making
Work-based Project Review

The doctoral research element will focus on pure or applied aspects of Data Science within the student’s main discipline or area of employment. The programme is unique, internationally, in offering a Professional Doctorate qualification in Data Science.

The taught modules on this programme are available to be taken as credit bearing short courses by suitably qualified individuals.

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This MSc programme is centred on furthering the understanding of architecture and urban design in the development of building cities and the social groups that inhabit them. Read more
This MSc programme is centred on furthering the understanding of architecture and urban design in the development of building cities and the social groups that inhabit them. It offers an increase of specialism to those interested in the research and design of the built environment intending to take either an academic pathway or a specific direction within their current professional practice.

Degree information

The programme addresses the study of architecture and cities using the theoretical and analytical framework of space syntax as well as wider theoretical and analytical approaches. Students learn to specialise in one of several streams related to contemporary world challenges: architecture and computing, sustainable urbanism, social inclusion and exclusion, informal settlements, spatial cognition, the physical and immaterial dimensions of social networks and design innovation.

Students undertake modules to the value of 180 credits.

The programme consists of seven core modules (90 credits), one optional module (30 credits) and a dissertation (60 credits).

Core modules
-Design as a Knowledge-Based Process
-Buildings, Organisations and Networks
-Space Syntax Methodology and Analytical Design
-Spatial Cultures
-Architectural Phenomena
-Spatial Justice

Optional modules
-Analytical Design Research Project
-E-Merging Design and Analysis

Dissertation/report
All MSc students submit a 10,000-word dissertation related to the main themes of the programme, typically involving a directed research project on a building or urban site.

Teaching and learning
The programme is delivered through seminars, lectures, design studios, hands-on computer workshops, a variety of field trips in and around London and an international trip (optional). Assessment is through essays, written and take-home examinations, oral presentations, project reviews, debates, group and individual projects, classroom exercises and the dissertation.

Fieldwork
The E-merging analysis and design studio (optional module) is usually accompanied by an international trip not exceeding £ 750 per person, based on standard costs as specified by the School.

Careers

Graduates of the programme go on to many different career routes: some have progressed to PhD degrees and have obtained academic positions in top universities worldwide, others have found teaching positions on architectural programmes; some go into policy-making activities; and many have ploughed their knowledge back into furthering their architectural/design careers. In the past few years an increasing number of graduates have obtained jobs at Space Syntax Limited.

First destinations of recent graduates include: CABE, Foster and Partners, Aecom, Arup, Qatar Foundation, Cube Design, Portland Design Associates, Levitt Bernstein, Paul Drew Design, Manu Chugh Architects, Buro Happold and Space Lab, as well as various academic or research positions at prestigious international universities or research centres.

Employability
This programme enhances students' intellectual and design abilities in the field of urban/architectural theory, architectural/urban morphology and the social aspects of the urban environment. Graduates of this programme can be involved in both professional and academic activities. Graduates who choose to go into practice will have a leading edge in evidence-informed and research-based design. Those who choose an academic path will have the advanced knowledge and skills required for high-level academic positions.

Why study this degree at UCL?

The course provides a unique approach to the study of architecture and cities world-wide equipping students with exceptional theoretical and analytical skills. It is located in UCL Bartlett one of the UK's largest multidisciplinary built environment faculty, bringing together scientific and professional specialisms required to research, understand, design, construct and operate the buildings and urban environments of the future.

The programme is unique in the world in integrating architecture and urbanism, and adopting a user-centred approach. Students receive advanced and exceptional training in theories, data analysis and their creative integration with design thinking.

The degree draws on the rich design industries in London including Space Syntax Ltd and provides networking opportunities to help advance students in their academic and professionals both during and after the programme.

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The programme is designed to provide in-depth knowledge and skills within the field of computing. The course is aimed at students who already have a first degree in computing, have some existing software engineering skills, and wish to deepen their knowledge. Read more
The programme is designed to provide in-depth knowledge and skills within the field of computing. The course is aimed at students who already have a first degree in computing, have some existing software engineering skills, and wish to deepen their knowledge. This programme will have a strong focus on how data can be exploited within an organisation and will emphasise the communication of that data to a target audience.

Graduates would undertake a range of tasks associated with IT in organisations, and develop sophisticated solutions to IT problems.

Course Overview

The main themes of the programme are:
-Web based application development
-Database development, deployment and integration
-Project and team management in the computing sector

This programme will equip students with those skills at a high academic level and also crucially enable them to practically implement their knowledge because of the ‘hands-on’ emphasis of the programme.

Each of these themed areas is itself an area of significant international strategic importance and will enable students to gain important and valuable skills.

The Web based application development theme reviews current trends and technologies. Complex challenges faced by web developers are investigated in detail.

The Database development, deployment and integration theme covers the important areas of Data Warehousing and Data Analysis both of which are cited as important skills that are in great demand by businesses.

The final theme, Project and team management will concentrate on developing the skills of project management and systems analysis, both of which are in great demand by employers.

Modules

Part 1:
-Data Warehousing (20 credits)
-Distributed Web Apps (20 credits)
-Leadership and Management (20 credits)
-Managing Information Systems and Projects (20 credits)
-Research Methods and Data Analysis (20 credits)
-Web Technologies for e-Commerce (20 credits)

Part 2:
-Major Project (60 credits)

Key Features

This MSc provides significant technical content which will inform the management decision making process. In this context major organisations such as Tesco, Sainsbury and Amazon have been making significant investment into data warehousing and data mining technologies.

To effectively use this technology requires a large number of people to apply and manage the technology. The price of the technology has reduced significantly since the inception of data warehousing with Microsoft and Oracle supplying the appropriate add-on tools to their database management system products. These factors allow smaller organisations to gain a competitive advantage by utilising the large pool of transactional data that in some cases has been stored for many years.

In an industrial context, students may be required to manage teams of developers in small to large scale projects. To efficiently manage such projects, they will require a significant technical understanding of the issues arising to be able to appreciate the complexity of the tasks to be undertaken.

Indeed, in an SME this role is often fulfilled by a senior member of the development staff with both development and management duties. As either a developer or manager, the graduate would be expected to demonstrate their initiative and be able to use their research skills to rapidly adapt to the demands of new technology.

Assessment

Student works are assessed through combination of course works, lab based practical exams and written exam. The final mark for some modules may include one or more pieces of course work set and completed during the module. Project work is assessed by a written report and oral presentation. Part 2 of the MSc programme requires the student to research and prepare an individual project/dissertation of a substantial nature.

University students who are unable to successfully complete all aspects of the Part 1 may be eligible for a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits).

Career Opportunities

Students on this programme develop a broad range of technical skills and will study a number of topics related to information systems. The programme covers the three themes of Web based application development, Database development, deployment and integration, and Project and Team management in the computing sector.

A significant emphasis is placed on database management and the implementation of applications for manipulating information including both database systems and web applications. Additionally, graduates would be able to lead teams and manage projects.

It is expected that graduates would seek positions such as:
-Project manager (within the Computing field)
-Data analyst
-Database administrator
-Application developer
-Web developer

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This Masters course in Business Intelligence and Social Media, is supported by IBM (UK) and is aimed at graduates/practitioners seeking to enhance your practical skills and gain comprehensive knowledge of business intelligence, business analytics and the commercial tools applicable to 'big data' gathered from social media, the cloud and other data sources. Read more
This Masters course in Business Intelligence and Social Media, is supported by IBM (UK) and is aimed at graduates/practitioners seeking to enhance your practical skills and gain comprehensive knowledge of business intelligence, business analytics and the commercial tools applicable to 'big data' gathered from social media, the cloud and other data sources.

Business Intelligence has emerged in recent years as a key source of competitive advantage for companies, enabling them to improve performance across the business, from overall strategy to marketing.

Upon completion, you'll be prepared for a career in business intelligence utilising tools from major vendors including Microsoft, Oracle, SAS and Tableau.

Distinctive features of the course:
- Uniquely designed for both computing and non-computing graduates wishing to pursue a career in the IT industry.

- Develops practical hands-on experience in business intelligence and analytics using industry standard tools including MS SQL Server BI edition, Oracle 11g Database, SAS and Tableau.

- Provides a balance between business intelligence and social media subjects with a special focus on business intelligence architectures and analytics.

- Addresses latest IT trends including big data, social media analytics and digital publishing.

- Allows 'practitioner entry' for those who have had considerable industrial experience in relevant field and are able to demonstrate an ability to work at the master's level.

See the website http://www.lsbu.ac.uk/courses/course-finder/business-intelligence-social-media-msc

Modules

- Business Intelligence Architecture (20 credits)
Introduces students to Data Warehouse, ETL, MS SQL-SVR, Big Data processing environments Hadoop, and the associated addresses security, legal and ethical Issues.

- Database Management (20 credits)
This module teaches database design/architecture, database security, MS SQL SVR & Oracle SqlPlus + relevant extensions for PL/SQL, T-SQL and metadata exchange using XML.

- Human Computer Interaction (20 credits)
On this module you'll be introduced to HCI design, HCI lifecycle, usability, security, privacy, mobile/desktop HCI.

- Business Intelligence Analytics (20 credits)
This module teaches dashboards, SAS, algorithms & analytic techniques.

- Research methods (0 credits, delivered over 2 modules)
The modules aims to enhance your knowledge and skills in research methodology, research ethics, planning, research design and analysis, presentation in order to undertake a large research project.

- Social Media and Digital Publishing (20 credits)
This module provides an introduction to various social media technologies and tools such as google+, google analytics, Instagram, Facebook, twitter and content formats, marketing analysis, data provenance and data security.

- Strategic Management and Entrepreneurship (20 credits)
This module will introduce you to the essentials of the strategic planning process, the foundations of enterprise, entrepreneurship and SMEs, IT Strategy for SME's and managing innovation.

- Project (60 credits)
This module will see you undertake a substantial, independent research project building on the taught course.

All modules are assessed by a mix of coursework and examinations.

Employability

Career opportunities range from IT services to business consultancy and this course will prepare you for a career in the Business Intelligence community working actively with a range of resources including: BI tools from major commercial vendors including Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of Business Intelligence, Business/Data Analytics, in roles such as BI/BA Specialist, Data Analyst and Business Intelligence Developer.

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.

Placements

The course encourages students to actively seek placements / work experience and voluntary work during their studies. Many of such opportunities are offered through the University's central Employability and Skills Unit.

Teaching and learning

Students receive academic support through the usual student tutoring system and project supervision. The course provides a virtual learning environment that facilitates e-learning.

The specialist software offered to students include Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

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This MSc Internet Database Systems teaches you to develop bespoke information systems using internet and database technologies, while critically evaluating the technical, security and privacy issues surrounding their deployment and on-going maintenance. Read more
This MSc Internet Database Systems teaches you to develop bespoke information systems using internet and database technologies, while critically evaluating the technical, security and privacy issues surrounding their deployment and on-going maintenance.

Distinctive features of the course:
- The course is designed for both computing and non-computing graduates wishing to pursue a career in the IT industry deploying and maintaining Database or Internet technologies.

- The course provides a balance between database management and business intelligence with a special focus on data warehousing, cloud computing and IT project management

- The course also addresses the latest IT trends including cloud computing, also software development for web and mobile technologies

- The course allows 'practitioner entry' for those who have had considerable industrial experience in relevant fields and are able to demonstrate an ability to work appropriately at master's level.

- Career opportunities range from IT services to business consultancy. Graduates of similar courses have entered positions such as: Business/IT consultant, Database Administrator BI Analyst, Development Team Leader, Agile Consultant and IT Adviser in various industrial sectors.

See the website http://www.lsbu.ac.uk/courses/course-finder/internet-database-systems-msc

Modules

- Cloud computing (20 credits)
This module provides a broad introduction to cloud architecture, supporting technology such as Share Point, Virtual Desktop, Skype, Dropbox, Mozy, along with examples of best practice in cloud management and development strategies.

- Database management (20 credits)
This module teaches database design and architecture, database security, MS SQL SVR and Oracle SqlPlus and relevant extensions for PL/SQL, T-SQL and metadata exchange using XML.

- Mobile applications and security (20 credits)
This module covers various mobile technology and application developments for iOS, Android and Windows applications. The topics covered will also examine issues such as BYOD & Security Policy/Architecture.

- Business intelligence analytics (20 credits)
On this module you'll learn about dashboards, SAS, algorithms and analytic techniques.

- Data Quality Assurance (20 credits)
This module provides a broad foundation on data lifecycle, managing big data, data metrics, data profiling, data cleansing and data protection.

- Research methods (0 credit, delivered in two parts)
The modules aims to enhance your knowledge and skills in research methodology, research ethics, planning, research design and analysis, presentation in order to undertake a large research project.

- Software project management (20 credits)
This module provides a broad introduction to project management techniques, project evaluation, project organisation and models, estimation and risk Management along with the legal implications that may impact this industry.

- Final project (60 credits)
This module will see you undertake a substantial, independent research project building on the taught course.

All modules are assessed by a mix of coursework and examinations.

Employability

You'll work actively with professional internet and database tools, and focus is given to relating theory to practical business situations. The course offers you the the opportunity to engage and benefit from industry events and exhibitions.

Types of careers

This Internet and Database Systems masters degree provides a good understanding of website and database design and will prepare you for a career developing and maintaining the two. Upon completion of this course its expected that you will possess a professional approach to website construction and a good understanding of the business processes behind commercial web applications, giving you an advantage when applying for jobs that entail:

- Building modern database driven websites using appropriate tools and components.
- Using engineering techniques to achieve quality results.
- Using the web and databases to provide interactive real time solutions for industry, commerce and the public sector.

Graduate success

Employment prospects for graduates are excellent. Graduates enter positions such as: web-database design / development, systems administration and solution architects.

The course provides a direct path to PhD level research within the School.

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

This course has accreditation from the British Computer Society (BCS) for partial Chartered IT Professional status.

British Computer Society, The Chartered Institute for IT champions the global IT profession and the interests of individuals engaged in that profession for the benefit of all.

Placements

The course encourages students to actively seek placements / work experience and voluntary work during their studies. Many of such opportunities are offered through the University's central Employability and Skills Unit.

Teaching and learning

Students receive academic support through the usual student tutoring system and project supervision. The course provides a virtual learning environment that facilitates e-learning.

The specialist software offered to students include Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

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In the MEngSc Information Technology in Architecture, Engineering, and Construction (Bauinformatik) you will learn how to apply computer science technologies to sustainable design, facilities management, energy management, and construction management. Read more
In the MEngSc Information Technology in Architecture, Engineering, and Construction (Bauinformatik) you will learn how to apply computer science technologies to sustainable design, facilities management, energy management, and construction management.

The course is designed for professionals as well as young graduates from all computer science and engineering disciplines who want to improve their knowledge of customising information and communication technologies to support the design, commissioning and operation of civil engineering systems.

The course addresses the increasing need for engineers and architects with advanced knowledge and skills in the application of information and communication technologies to support sustainable design and operation of buildings and energy systems, facilities management, virtual construction, building information modelling (BIM) and structural engineering.

Lecturers are broadcast through the web, and can be attended either in UCC or from a remote location. Experts from six European universities contribute their knowledge to the course.

Visit the website: http://www.ucc.ie/en/ckr29/

Course Details

You will get hands-on experience in planning, customising, and maintaining state-of-the-art software systems for the needs of the AEC and FM sectors with an emphasis on complex engineering systems such as smart buildings. The course consists of four pillars:

- the acquisition of new knowledge and practical skills in selected engineering disciplines
- the acquisition of knowledge and skills in selected areas of computer science
- the application of the newly-acquired knowledge in two projects
- the development and submission of a minor research thesis.

In the first teaching period students acquire knowledge of:

- Smart Buildings, Facilities and Energy Management
- Software Engineering
- Knowledge Management or Computer Mediated Communication.
- Building Information Modelling (BIM), Data Warehousing, and E-business
- Virtual Construction, Automation in Construction or Finite Element Analysis (electives)

The two projects focus on:

- Software Engineering
- Information Technology for Energy Systems in Buildings.

The course is based on the principle of research-led teaching, ie. project work will be based on practical examples. Researchers and PhD students from UCC will be involved in mentoring and supervising assignments and projects. On completion of the course, you will be extremely attractive to employers who need engineering with a strong IT-background, working in the following areas:

- civil and energy-engineering consultancy
- facilities management
- energy service provision (ESCO)
- construction management
- building operations
- software engineering
- project management.

You will develop skills in:

- applying information modelling
- software engineering
- data processing
- data analysis techniques
- facilities and energy management
- structural analysis
- project and supply chain management in construction.

Format

The course can be taken on a full-time (one year) or part-time (two year) basis with an option to complete at postgraduate diploma level. Lectures are broadcast using web-technology and can be attended either in UCC, in your home, or at your workplace. The majority of lectures are scheduled outside normal working hours. Block seminars consisting of full-day events are available once a month during academic periods. The course requires the completion of two projects, but can be combined with a work placement. A minor thesis contribution begins when all taught modules are completed successfully and involves four months of research work.

Assessment

Modules focusing on the acquisition of new knowledge are assessed by written exams (60%), in combination with continuous assessment (assignments – 40%). Modules focusing on skills-development or knowledge transfer are assessed through the submission of reports or essays in combination with presentations. Projects are usually organised in groups. They are assessed through continuous assessment (team meetings, status review meetings) and a final report complemented by a final presentation. You must pass each module (40%) and achieve an average grade of 50% across all taught modules in order to be eligible to progress with the master’s thesis.

Careers

Recent publications report that a shortage of engineers has been identified by professional bodies across the European Union. In the UK and Germany alone, it is predicted that approximately 2,500 engineering positions need to be filled on an annual basis over the next five years (2012 to 2016). It is expected that employable candidates have an excellent background in how to efficiently exploit IT tools in order to execute engineering tasks in the most efficient but also in an interdisciplinary way. This course addresses the need for interdisciplinary expertise and skills in engineering, energy management and computer science.

How to apply: http://www.ucc.ie/en/study/postgrad/how/

Funding and Scholarships

Information regarding funding and available scholarships can be found here: https://www.ucc.ie/en/cblgradschool/current/fundingandfinance/fundingscholarships/

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