Masters Degrees (Visualization)

Description

This course aims at providing computer science graduates with the knowledge and skills to specialise in advanced computer graphics principles and practice, as well as gaining exposure to research activities in this field. Students completing this course will have a firm grasp of the current practices and directions in computer graphics techniques and be able to apply them to scientific visualization, virtual environments, and computer animation.

Modules are:

* Computer Animation
* Java Programming
* Project Foundations
* Introduction to Computer Graphics
* Virtual Environments & Human Perception
* Scientific Visualization
* Computing Shape
* Sample Based Geometric Modelling
* MSc Project & Dissertation

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This course is one of the premier international applied petroleum geoscience courses. Since the inception of the course in 1985 its graduates have an unparalleled employment record in the petroleum industry both in the UK and worldwide. In addition our graduates are highly sought after for further PhD research in the petroleum geosciences.

● Recognised by NERC - 5 MSc studentships each year covering fees, fieldwork and maintenance.

● Recognised by Industry - Industry scholarships

● We offer highly focused teaching and training by internationally recognised academic experts as well as by visiting staff from the petroleum industry.

The course covers the applications of basin dynamics and evolution to hydrocarbon exploration and production. The course is modular in form providing intensive learning and training in geophysics, tectonics and structural geology, sequence stratigraphy and sedimentology, hydrocarbon systems, reservoir geology, remote sensing and applied geological fieldwork.

The MSc course provides ‘state of the art’ training in -

● 3D seismic interpretation and 3D visualization;

● Fault analysis and fault-sealing;

● Seismic sequence stratigraphy;

● Applied sedimentology;

● Well log analysis;

● Remote sensing analysis of satellite and radar imagery;

● Analysis of gravity and magnetic data;

● Numerical modelling of sedimentation and tectonics;

● Applied structural geology;

● Geological Fieldwork.

● Transferable skills learned during the course include

project planning, presentation techniques, report writing and compilation, team working skills, spreadsheet and statistical analyses, GIS methods as well as graphics and visualization techniques.

● The full time MSc course runs for 50 weeks. The first half comprises one and two week course modules as well as group projects and fieldwork. The second half of the MSc course consists of an individual research project usually carried out in conjunction with the petroleum industry or related institutions such as international geological surveys.

● Part time study over 24 months is also available

● Each year independent projects are arranged with new data sets from industry – some students work in the offices of the company whereas other may use our excellent in-house facilities. All independent projects are supervised by faculty members with additional industry supervision where appropriate.

Facilities include –

● Dedicated Modern Teaching Laboratories

● 14 Dual Screen Unix Seismic Workstations

● PC and Macintosh Workstations

● Internationally Recognised Structural Modelling Laboratories

● Advanced Sedimentological Laboratories

The MSc course also greatly benefits from dynamic interaction with internationally recognised research groups within the Geology Department including –

● Project EAGLE – Evolution of the African and Arabian rift system – Professor Cindy Ebinger

● Southeast Asia Research Group – Tectonic Evolution and Basin Development in SE Asia – Professor Robert Hall

● Numerical Modelling Research Group – Numerical Modelling of Tectonics and Sedimentation – Dr Dave Waltham

● Fault Dynamics Research Group – Dynamics of Fault Systems in Sedimentary Basins – Professor Ken McClay

The 2005 MSc graduates went on to employment with Shell, BP, Amerada Hess, Gaz de France, OMV (Austria), Star Energy, First Africa Oil, Badley Ashton, ECL, PGS, Robertsons, PGL, Aceca, and to PhD research at Royal Holloway and Barcelona.

Since 2001, 85% of our graduates have gone in to work in the oil industry, 10% into geological research and 5% into environmental/engineering jobs.

Accommodation is available on campus in en-suite study bedrooms grouped in flats of eight, each with a communal kitchen and dining space.

Subsistence Costs ~£9,000 pa (including Hall of Residence fees of c. £4,500 for a full year)

APPLICATIONS can be made on line at http://www.rhul.ac.uk/Registry/Admissions/applyonline.html

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This is one of the premier international applied MSc courses with a focus on petroleum exploration and production. It is run in parallel with the Basin Evolution and Dynamics MSc in Petroleum Geocsience but with a greater emphasis on tectonics and structural geology. In addition to successful employment in the international petroleum industry graduates from this course are employed in the international mining industry as well as being highly sought after for further PhD research in the geosciences.

● Recognised by Industry - Industry scholarships

● We offer highly focused teaching and training by internationally recognised academic experts as well as by visiting staff from the petroleum and remote sensing industries.

The course covers the applications of tectonics and structural geology to hydrocarbon exploration and production as well as to applied structural geology research in different terranes. The course is modular in form providing intensive learning and training in tectonics, applied structural geology, seismic interpretation of structural styles, tectonostratigraphic analysis, section balancing and reconstruction, remote sensing, crustal fluids and hydrocarbon systems, reservoir geology, and applied geological fieldwork.

The MSc course provides ‘state of the art’ training in –
● Plate tectonics and terrane analysis;
● Applied structural analysis;
● 3D seismic interpretation and 3D visualization of structural styles;
● Fault analysis and fault-sealing;
● Tectonostratigraphic analysis;
● Scaled analogue modelling;
● Numerical modelling of structures;
● Remote sensing analysis of satellite and radar imagery;
● Analysis of gravity and magnetic data;
● Section balancing and reconstruction;
● Applied structural fieldwork.

● Transferable skills learned during the course include
project planning, presentation techniques, report writing and compilation, team working skills, spreadsheet and statistical analyses, GIS methods as well as graphics and visualization techniques.

● The full time MSc course runs for 50 weeks. The first half comprises one and two week course modules as well as group projects and fieldwork. The second half of the MSc course consists of an individual research project usually carried out in conjunction with the petroleum industry or related institutions such as international geological surveys.

● Part time study over 24 months is also available

● Each year independent projects are arranged with new data sets from industry – some students work in the offices of the company whereas other may use our excellent in-house facilities. All independent projects are supervised by faculty members with additional industry supervision where appropriate.

Facilities include –
● Dedicated Modern Teaching Laboratories
● Internationally Recognised Structural Modelling Laboratories
● 14 Dual Screen Unix Seismic Workstations
● PC and Macintosh Workstations
● Advanced Sedimentological Laboratories

The MSc course also greatly benefits from dynamic interaction with internationally recognised research groups within the Geology Department including –

● Project EAGLE – Evolution of the African and Arabian rift system – Professor Cindy Ebinger
● Southeast Asia Research Group – tectonic evolution and basin development in SE Asia – Professor Robert Hall
● Numerical Modelling Research Group – Numerical modelling of tectonics and sedimentation – Dr Dave Waltham
● Fault Dynamics Research Group – Dynamics of Fault Systems in Sedimentary Basins – Professor Ken McClay

Our Tectonics MSc graduates have gained employment with Shell, BP, ECL, PGS, Sipetrol, PGL, Codelco, and to PhD research in a range of universities including Trieste, Barcelona, and Ulster universities.
Since 2001, 85% of our Petroleum Geosciences MSc graduates have gone in to work in the oil industry, 10% into geological research and 5% into environmental/engineering jobs.

Accommodation is available on campus in en-suite study bedrooms grouped in flats of eight, each with a communal kitchen and dining space.

Subsistence Costs ~£9,000 pa (including Hall of Residence fees of c. £4,500 for a full year)

APPLICATIONS can be made on line at http://www.rhul.ac.uk/Registry/Admissions/applyonline.html

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Take advantage of one of our 100 Master’s Scholarships or College of Science Postgraduate Scholarships to study High Performance and Scientific Computing at Swansea University, the Times Good University Guide’s Welsh University of the Year 2017. Postgraduate loans are also available to English and Welsh domiciled students. For more information on fees and funding please visit our website.

The MSc in High Performance and Scientific Computing is for you if you are a graduate in a scientific or engineering discipline and want to specialise in applications of High Performance computing in your chosen scientific area. During your studies in High Performance and Scientific Computing you will develop your computational and scientific knowledge and skills in tandem helping emphasise their inter-dependence.

On the course in High Performance and Scientific Computing you will develop a solid knowledge base of high performance computing tools and concepts with a flexibility in terms of techniques and applications. As s student of the MSc High Performance and Scientific Computing you will take core computational modules in addition to specialising in high performance computing applications in a scientific discipline that defines the route you have chosen (Biosciences, Computer Science, Geography or Physics). You will also be encouraged to take at least one module in a related discipline.

Modules of High Performance and Scientific Computing MSc

The modules you study on the High Performance and Scientific Computing MSc depend on the route you choose and routes are as follows:

Biosciences route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Conservation of Aquatic Resources or Environmental Impact Assessment
Ecosystems
Research Project in Environmental Biology
+ 10 credits from optional modules

Computer Science route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Software Engineering
Data Visualization
MSc Project
+ 30 credits from optional modules

Geography route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Modelling Earth Systems or Satellite Remote Sensing or Climate Change – Past, Present and Future or Geographical Information Systems
Research Project
+ 10 credits from optional modules

Physics route (High Performance and Scientific Computing MSc):

Graphics Processor Programming
High Performance Computing in C/C++
Operating Systems and Architectures
Software Testing
Programming in C/C++
Partial Differential Equations
Numerics of ODEs and PDEs
Monte Carlo Methods
Quantum Information Processing
Phase Transitions and Critical Phenomena
Physics Project
+ 20 credits from optional modules

Optional Modules (High Performance and Scientific Computing MSc):

Software Engineering
Data Visualization
Monte Carlo Methods
Quantum Information Processing
Phase Transitions and Critical Phenomena
Modelling Earth Systems
Satellite Remote Sensing
Climate Change – Past, Present and Future
Geographical Information Systems
Conservation of Aquatic Resources
Environmental Impact Assessment
Ecosystems

Facilities

Students of the High Performance and Scientific Computing programme will benefit from the Department that is well-resourced to support research. Swansea physics graduates are more fortunate than most, gaining unique insights into exciting cutting-edge areas of physics due to the specialized research interests of all the teaching staff. This combined with a great staff-student ratio enables individual supervision in advanced final year research projects. Projects range from superconductivity and nano-technology to superstring theory and anti-matter. The success of this programme is apparent in the large proportion of our M.Phys. students who seek to continue with postgraduate programmes in research.

Specialist equipment includes:

a low-energy positron beam with a highfield superconducting magnet for the study of positronium
a number of CW and pulsed laser systems
scanning tunnelling electron and nearfield optical microscopes
a Raman microscope
a 72 CPU parallel cluster
access to the IBM-built ‘Blue C’ Supercomputer at Swansea University and is part of the shared use of the teraflop QCDOC facility based in Edinburgh

The Physics laboratories and teaching rooms were refurbished during 2012 and were officially opened by Professor Lyn Evans, Project Leader of the Large Hadron Collider at CERN. This major refurbishment was made possible through the University’s capital programme, the College of Science, and a generous bequest made to the Physics Department by Dr Gething Morgan Lewis FRSE, an eminent physicist who grew up in Ystalyfera in the Swansea Valley and was educated at Brecon College.

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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.

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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By 2050, 2/3rd of the population will live in cities and 2 Bn new urban citizens will reside in cities that do not exist yet. Those Smart Cities needs hands-on though visionary designers to create better lives conditions and to reinvent citizenship for every stakeholder: younger/elder, families/professionals, tourists/dwellers, and by giving meaning to the best technologies.
During this 2 year program, including a final 3 to 6 month internship, students become strong professionals thanks to an intensive project-based pedagogy, and a strong connection with the industry.

Run from fall 2017, both in Paris and Singapore (subject to final endorsement), the programme is recognised by the French State through its registration by the National Council of Professional Certification (CNCP) at Level 1.


Pedagogy:

1st Year
Design Projects and Methodology
Design Culture 1
General Culture 1
Representation & Visualization 1
Industry sponsored project
Design Culture 2
General Culture 2
Representation & Visualization 2
Thesis 1

2nd Year
Thesis 2
Inter-disciplinary industry sponsored project
Humanities
Professionalization
Preparation of oral defense
Degree Project follow up
Internship

Job opportunities

When you Graduate from Master in Design for Smart Cities you'll have a wide range of jobs opportunities, such as : Interaction Designer, Intelligent Objects Designer, Design Consultant, User Experience Designer, Interface Designer, Design Manager, Service Designer, Motion Designer

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Overview

The MSc Computing programme at Hull focuses on the development of programming concepts and how they can model business processes and support other applications. The programme involves a rewarding combination of computer systems and software implementation, enabling you to master the latest computer technology.

You’ll make great advancements on your existing knowledge of computer science, learning about the technology behind a wide range of commercial and enterprise solutions. You will learn how to analyse problems and apply your knowledge to create software solutions. Along the way, you will gain experience with cutting-edge techniques and commercial perspectives. The course includes core development skills, alongside options encompassing large-scale development, visualization, security and distributed programming.
The course begins in September each year and lasts twelve months. There are two trimesters of taught modules, followed by an individual dissertation project during the third trimester. There is a variant that includes an extra trimester – before the dissertation – gaining industrial experience through a module based in SEED, our software development unit working with commercial clients and software. This is unique to Hull.

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

Industrial Experience

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

Study

The MSc Computing programme is designed to support students with various levels of computing and programming practice experience. There is suitable content on professional skills and the importance of ethics for practising computer scientists. Material on software engineering, referencing and unfair means supports the transition into the postgraduate environment.
In lectures you’ll benefit from a range of techniques, from interpreting complex ideas through interactive discussions, to live programming or other problem-solving demonstrations.

Core modules

• Oriented Design and Development Using C++
• Development Project
Optional modules
• Component-based Architecture
• Maintaining Large Software Systems
• Mobile Devices and Applications
• Level 6 Module (only one to be taken during the programme)
• Advanced Computational Science
• Visualization
• Distributed Applications
• Trustworthy Computing
• Computer Science Software Development Practice – pass/fail module
• Dissertation (There is the option of taking this module either in trimester 3 or trimester 4, depending on whether you take the Industrial Experience module.)
• The Industrial Experience optional 60-credit single trimester module allows students to gain significant commercial experience.

Teaching and learning

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

Assessment

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

Careers

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

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

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The growing availability of huge amounts of data in business and industry is generating a high demand for graduates able to handle and exploit big data. Using sophisticated analytics techniques, including social network visualization and sentiment analysis, and professional software packages, including R dplyr and ggplot2, you will gain the skills and knowledge to transform data into commercial value and boost your employability.

Key features

-Equipping applicants from almost all undergraduate degrees with broad professional competence in one of the world economy’s most sought-after postgraduate subject areas.
-Offering an equal number of taught credits in the three areas of data modelling, computing and business, with a wide choice of available business modules.
-Providing a flexible individual project in one or more of the three taught areas supervised by world-leading subject experts.
-Establishing high proficiency in the use and application of state-of-the-art programming languages including R.
-Developing modern analytics expertise for obtaining business, scientific and social insights from Big Data sources and social networks such as Facebook and Twitter.
-Consult eBooks to support your learning and receive a free Apple iPad mini to stay-up-to date, wherever you are.
-Enjoy teaching from leading academics: for example, in the UK 2014 Research Excellence Framework 68 per cent of our mathematics and statistics research papers were classified as World Leading or Internationally Excellent.

Course details

Year 1
Throughout the programme you will learn how to master sophisticated analytics techniques and professional software, including R, to handle and exploit big data, and to work as part of a project team. You will also develop practical and professional competence in data science and business analytics, and will be able to make strategic decisions in a broad range of business related practical situations.

In semester two you will select optional modules to suit your interests and career aspirations and have the opportunity to boost your employability with an optional industrial placement.

An optional placement year is available after Semester 2.

Core modules
-ISAD515 Computational Problem Solving and Computer Systems
-BPIE500 Masters Stage 1 Placement Preparation
-MATH500 Big Data and Social Network Visualization
-PROJ516 MSc Project
-SOFT562 Software Development and Databases
-MATH501 Modelling and Analytics for Data Science

Optional modules
-STO702 Global Supply Chain Management
-ACF717 Econometrics and Financial Modelling
-MKT704 Branding and Marketing Communications
-STO703 International Strategic Management
-MKT714 Social Media Practice
-MKT715 Relationship Marketing and CRM
-STO700B International Business Environment
-ACF719 Financial Management

Final year
Optional modules
-BPIE503 Mathematics Masters Industrial Placement

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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Overview

The MSc Computing programme at Hull focuses on the development of programming concepts and how they can model business processes and support other applications. The programme involves a rewarding combination of computer systems and software implementation, enabling you to master the latest computer technology.

You’ll make great advancements on your existing knowledge of computer science, learning about the technology behind a wide range of commercial and enterprise solutions. You will learn how to analyse problems and apply your knowledge to create software solutions. Along the way, you will gain experience with cutting-edge techniques and commercial perspectives. The course includes core development skills, alongside options encompassing large-scale development, visualization, security and distributed programming.
The course begins in September each year and lasts twelve months. There are two trimesters of taught modules, followed by a trimester of industrial experience through a module based in SEED, our software development unit working with commercial clients and software; this is unique to Hull. This is followed by an individual dissertation project during the fourth trimester.

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

Industrial Experience

The degree includes an Industrial Experience trimester, to gain experience of working alongside commercial software developers within a commercial software development facility on site (SEED), promoting real-world applications of the advanced concepts met in the course.

Study

The MSc Computing programme is designed to support students with various levels of computing and programming practice experience. There is suitable content on professional skills and the importance of ethics for practising computer scientists. Material on software engineering, referencing and unfair means supports the transition into the postgraduate environment.
In lectures you’ll benefit from a range of techniques, from interpreting complex ideas through interactive discussions, to live programming or other problem-solving demonstrations.

Core modules

• Oriented Design and Development Using C++
• Development Project
• Computer Science Software Development Practice – pass/fail module. The Industrial Experience optional 60-credit single trimester module allows students to gain significant commercial experience.
• Dissertation.

Optional modules
• Component-based Architecture
• Maintaining Large Software Systems
• Mobile Devices and Applications
• Level 6 Module (only one to be taken during the programme)
• Advanced Computational Science
• Visualization
• Distributed Applications
• Trustworthy Computing

Teaching and learning

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

Assessment

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

Careers

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

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

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Program overview

The computer science program is designed for students who have an undergraduate degree (or minor) in computer science, as well as those who have a strong background in a field in which computers are applied, such as engineering, science, or business.

The degree is offered on a full- or part-time basis. Courses are generally offered in the afternoons and evenings to accommodate part-time students. Full-time students take three or four courses per semester and may be able to complete the course work in three semesters. Full-time students who are required to take additional bridge courses may be able to complete the course work in four semesters. Part-time students take one or two courses per semester and may be able to complete the course work in four to five semesters. The time required to complete a master's project is one semester, but can vary according to the student and the scope of the topic. Two semesters is typical.

Plan of study

The program consists of 30 credit hours of course work, which includes either a thesis or a project. Students complete one core course, three courses in a cluster, four electives, and a thesis. For those choosing to complete a project in place of a thesis, students complete one additional elective.

Clusters

Students select three cluster courses from the following areas (see website for individual area information):
-Computer graphics and visualization
-Data management
-Distributed systems
-Intelligent systems
-Languages and tools
-Security
-Theory

Electives

Electives provide breadth of experience in computer science and applications areas. Students who wish to include courses from departments outside of computer science need prior approval from the graduate program director. Refer to the course descriptions in the departments of computer science, engineering, mathematical sciences, and imaging science for possible elective courses.

Master's thesis/project

Students may choose the thesis or project option as the capstone to the program. Students who choose the project option must register for the Project course (CSCI-788). Students participate in required in-class presentations that are critiqued. A summary project report and public presentation of the student's project (in poster form) occurs at the end of the semester.

Curriculum

Thesis/project options differ in course sequence, see the website for a particular option's modules and a particular cluster's modules.

Other admission requirements

-Submit official transcripts (in English) of all previously completed undergraduate and graduate course work.
-Submit scores from the Graduate Record Exam.
-Have a minimum grade point average of 3.0 (B), and complete a graduate application.
-International applicants, whose native language is not English, must submit scores from the Test of English as a Foreign Language. A minimum score of 570 (paper-based) or 88 (Internet-based) is required.
-Applicants must satisfy prerequisite requirements in mathematics (differential and integral calculus, probability and statistics, discrete mathematics, and computer science theory) and computing (experience with a modern high-level language [e.g., C++, Java], data structures, software design methodology, introductory computer architecture, operating systems, and programming language concepts).

Additional information

Bridge courses:
If an applicant lacks any prerequisites, bridge courses may be recommended to provide students with the required knowledge and skills needed for the program. If any bridge courses are indicated in a student's plan of study, the student may be admitted to the program on the condition that they successfully complete the recommended bridge courses with a grade of B (3.0) or better (courses with lower grades must be repeated). Generally, formal acceptance into the program is deferred until the applicant has made significant progress in this additional course work. Bridge program courses are not counted as part of the 30 credit hours required for the master's degree. During orientation, bridge exams are conducted. These exams are the equivalent to the finals of the bridge courses. Bridge courses will be waived if the exams are passed.

Faculty:
Faculty members in the department are actively engaged in research in the areas of artificial intelligence, computer networking, pattern recognition, computer vision, graphics, visualization, data management, theory, and distributed computing systems. There are many opportunities for graduate students to participate in these activities toward thesis or project work and independent study.

Facilities:
The computer science department provides extensive facilities that represent current technology, including:
-A graduate lab with more than 15 Mac’s and a graduate library.
-Specialized labs in graphics, computer vision, pattern recognition, security, database, and robotics.
-Six general purpose computing labs with more than 100 workstations running Linux, Windows, and OS X; plus campus-wide wireless access.

Maximum time limit:
University policy requires that graduate programs be completed within seven years of the student's initial registration for courses in the program. Bridge courses are excluded.

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The master of fine arts degree in industrial design is for career enhancement or redirection. The educational experience is project-oriented, requiring research into design methods and technologies. Cross-disciplinary collaboratives provide an experiential dimension.

The first year of study includes seminar courses in design history and research, which are common to all graduate students in the School of Design. In addition, studio courses involve extensive design work with respect to sustainability, design process, the meaning of artifacts, and critical analysis. Additional course work using three-dimensional software for modeling and fabrication fills out the program.

In the second year students conduct research and develop a thesis project, which is presented in a graduate thesis exhibition or presentation, and is documented in a written thesis report.

Curriculum

- First Year

Design Laboratory I
Function of Form
2D Ideation and Visualization
Design History Seminar
Design Laboratory II
Form of Function
Integrated Design Visualization
Design Research and Proposal

- Second Year

Free Electives
Art History Elective
Thesis: Research and Planning
Thesis: Implementation and Evaluation

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This programme provides students with the knowledge of cutting-edge methodologies, approaches and skills in the emerging field of data science and big data applications, including advanced software development, systems for big data analytics, statistical data analysis data mining, distributed systems, data privacy and security, and data visualization and exploration.

The programme of study culminates in a dissertation, enabling you to bring what you have learnt together in a significant piece of project work.

In summary, the MSc Big Data Science and Technology offers you the opportunity to build your own path of study - from the advanced computing modules, the extended list of optional modules available, as well as the dissertation - so as to match your specific career aspirations in the area of big data and data science.

For more information on the part time version of this course, please view this web-page: http://www.brad.ac.uk/study/courses/info/big-data-science-and-technology-msc-part-time

Why Bradford?

This programme intends to equip graduates with the cutting-edge knowledge and skills to work in the industry as a Data Scientist, Big Data Architect, or Big Data Analyst.

MSc Big Data Science and Technology provides industry with graduates that are ready and able to develop solutions to address challenges for big data analytics and developing big data systems.

Modules

-Software Development
-Big Data Systems and Analytics
-Information Theory and Data Communication
-Security, Privacy and Data Protection
-Mobile Applications
-Statistical Data Analysis
-Data Mining
-Concurrent and Distributed Systems
-Data visualization
-Dissertation

Career support and prospects

The University is committed to helping students develop and enhance employability and this is an integral part of many programmes. Specialist support is available throughout the course from Career and Employability Services including help to find part-time work while studying, placements, vacation work and graduate vacancies. Students are encouraged to access this support at an early stage and to use the extensive resources on the Careers website.

Discussing options with specialist advisers helps to clarify plans through exploring options and refining skills of job-hunting. In most of our programmes there is direct input by Career Development Advisers into the curriculum or through specially arranged workshops.

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At the frontier of natural and social science where economic, ethical and political issues converge this programme helps you explore the many dimensions of sustainability and the environment. From the classroom to the field, our practical teaching provides a strong foundation for you to investigate your specific interests and gain hands-on experience. Led by renowned experts, as part of a multidisciplinary research community, you’ll develop the skills and knowledge to build a successful career.

Key features

-Work side by side with experts from across the Faculty of Science and Engineering and Plymouth Business School – schools which were rated as ‘internationally excellent’ in the latest Research Assessment Exercise (RAE) 2008.
-Carry out an extended dissertation project - designed to benefit those who intend to undertake further study or a research-based career.
-Tailor your studies for the career you want – from environmental agencies and consultancies to local or central government and research – and take your place shaping the pioneering policy and projects of the future.
-Focus on the aspects of sustainable environmental management that you feel most strongly about, with an individual research project and accompanying dissertation.
-Benefit from our local, national and international sector connections as part of a respected and active research community that includes groups such as the Marine Institute – the first and largest of its kind in the UK – and the Centre for Sustainable Transport.
-Add value to your qualification by studying on a programme accredited by the Institute of Environmental Management and Assessment (IEMA) – the benchmark for high-quality programmes recognised internationally by learners and employers.
-Balance your work commitments and further education with the opportunity to study part time for a masters-level qualification.

Course details

Exploring topics that span the natural and social sciences, you’ll gain vital insight into the whole spectrum of environmental management issues – from law and ethics to impact assessments and data analysis, river basin plans to marine regulations. We’ve designed the programme flexibly to equip you with an in-depth understanding of the essential theories, as well as practical fieldwork and industry experience.

During the first two terms of this one-year programme, you’ll study a range of core and optional taught modules – from international environmental policymaking to options like climate change: science and policy or economics and the environment. In the final term you’ll complete an independent dissertation project.

Throughout your studies, we’ll support you in gaining the research and professional skills to help you get the most from the programme – and launch a successful career.

Core modules
-GEES521 MRes Dissertation

Optional modules
-MAR515 Management of Coastal Environments
-MATH500 Big Data and Social Network Visualization
-ENVS5003 Ecological Survey Evaluation and Mitigation
-GEES515 Professional Practice in the Environmental Sector
-GEES516 Science, Society and Environmental Governance
-GEES519 Environmental Knowledge: From Field to Stakeholder
-GEOL5006 Sustainable Geoscience: Research and Communication
-CHM5002 Analytical Chemistry Principles

Every postgraduate taught course has a detailed programme specification document describing the programme aims, the programme structure, the teaching and learning methods, the learning outcomes and the rules of assessment.

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Spatial data play an increasingly important role in many areas of our lives: environmental protection, forecasting, agriculture, and local and regional planning. Understanding Geographical Information Systems and GI science is essential for effective management and analysis of spatial data.

Core
• Introduction to GIS
• Spatial Information Science
• Earth Observation and Remote Sensing
• GIS Research Methods Field Trip
• Dissertation tutorial
• Geographical Visualization
• Programming for Spatial Scientists
• Plus a 60 credit master’s dissertation

We recognise the need for challenging and diverse methods of assessment. Our methods vary from traditional examinations, individual oral presentations, reports, web pages, research proposals, literature reviews and posters. We also include an amount of field-based teaching and computer practical sessions in our courses. As well as being taught subject knowledge, you will also receive training on how to plan, develop and execute a programme of individual research. We feel that the development of group skills is very important and a number of pieces of coursework involve a team of people. Coursework feedback is given
promptly and in considerable detail, enabling you to improve continuously.

• The MSc in Geographical Information Science at the University of Leicester is the longest running MSc in GIS in England and offers comprehensive training in GI Science and Systems.
• The MSc in GIS has been recently been accredited by the Royal Institution of Chartered Surveyors (RICS).
• The course is overseen by an employer panel of representatives from industry, government, research and environmental agencies in order to maintain the relevancy of the course content and direction.

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The Master of Public Health (MPH) programme is designed to prepare students for leadership in scientific and management roles in Public Health. It attracts students from clinical and health related disciplines from all over the world.

Why study Public Health at Dundee?

This course provides high quality training in the application of epidemiological, statistical and behavioural techniques used in public health practice and research.

You will have the opportunity to improve generic and transferable skills and will be ideally placed to pursue a career in research or public health practice. The MPH also provides an ideal springboard for further postgraduate study at PhD level.

What's so good about studying Public Health at Dundee?

"My experience with the MPH course was positive in every respect. From the quality of the teaching to the academic support by members of the department, it was a highly rewarding experience. I would strongly recommend the MPH course at the University of Dundee"
Dr Thaofiq Olatunde Ijaiya (MPH, 2007)

"The MPH provides an invaluable experience of being taught by inspiring academics with excellent research experience in the field"
Tony Barr, Programme Manager - Nursing (MPH, 1996)

"The design and execution of the MPH programme was very good. However, I was most fulfilled during the research dissertation stage. It was a wonderful experience and I am prepared for the future research challenges."
Dr Ekwem Divine (MPH, 2010)

Teaching & Assessment

This course is taught predominantly by staff from the School of Medicine and guest lecturers from further afield.

The full time MPH course lasts for one year. The taught component takes nine months and is followed by research leading to a dissertation. All students initially enrol on a diploma programme (DipPubH) which includes the taught component only. To progress to the Masters programme and undertake the Masters dissertation students must obtain an overall pass of 60% in the taught component. Both programmes may be undertaken on a part-time basis.

This course has one start date - September

How you will be taught

The course is focussed on the academic needs of its students but also provides emotional and pastoral care as required. The inclusion of optional modules creates flexibility, which allows students to tailor the MPH to their specific requirements.

A variety of teaching and assessment methods are used to give students the best possible learning opportunity
Students are given formative assessment on all assignments

Students have a spacious teaching room with networked computers at their disposal

Lecturers operate an open door policy and students are encouraged to seek advice/help at any time

Students are given the opportunity to choose a dissertation topic which reflects their interest, then advised on the most appropriate supervisor

The rich research environment within the Division gives students the opportunity to work on a range of topics

The Division has weekly research seminars during term time, to which students are invited to attend
What you will study

The programme consists of the following modules

Core:
Public Health
Epidemiology
Introduction to Clinical Statistics
Research Methods
Behavioural & Social Science
Applied Epidemiology
Statistics for Clinical Trials
Applied Statistics with Routine Health Datasets
Introduction to Systematic Reviews
Data Visualization
Spatial Epidemiology

Optional:
Students studying for a Master of Public Health then undertake research and write a dissertation.

How you will be assessed

The student's performance is monitored by continuous assessment throughout the programme. Written and oral examinations are held in December, March and May. Examinations are graded passes (A to D) or fail.

Students must obtain grade D or above in all written and oral examinations in order to be awarded the Diploma.

To be eligible to progress from the Diploma onto the Masters, students must pass the examination of each subject and achieve a minimum overall pass at B or above (60%).

Careers

The MPH prepares students for research and management careers in public health and also a variety of medical and health related disciplines.

Previous students graduating with the MPH from Dundee have taken up management positions in public health practice, nursing, professions allied to medicine, education, government, WHO and NGOs; and research positions within academic public health, general practice, acute medicine, nursing, professions allied to medicine, veterinary medicine, dentistry and environmental health.

The MPH also provides an ideal springboard for further postgraduate study at PhD and MD level.

"I had a wonderful time during my stay at Dundee. Scotland as a whole and Dundee in particular have very friendly and hospitable people. This course is a well-balanced general MPH course. It will provide the prospective students with a good foundation and skill set to advance their career in research, management or academics.
Syed Asif Shah, MD. MPH. MBA. FACC. FACP, Assistant professor of Cardiology (MPH 1990)

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