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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. Read more
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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The MPhil programme in Scientific Computing is a full-time 12-month course which aims to provide education of the highest quality at Master’s level. Read more
The MPhil programme in Scientific Computing is a full-time 12-month course which aims to provide education of the highest quality at Master’s level. Covering topics of high-performance scientific computing and advanced numerical methods and techniques, it produces graduates with rigorous research and analytical skills, who are well-equipped to proceed to doctoral research or directly into employment in industry, the professions, and the public service. It also provides training for the academic researchers and teachers of the future, encouraging the pursuit of research in computational methods for science and technology disciplines, thus being an important gateway for entering PhD programmes containing a substantial component of computational modelling.

See the website http://www.graduate.study.cam.ac.uk/courses/directory/pcphmpscm

Course detail

The MPhil in Scientific Computing has a research and a taught element. The research element is a project on a science or technology topic which is studied by means of scientific computation. The taught element comprises of core lecture courses on topics of scientific computing and elective lecture courses relevant to the science or technology topic of the project. Most of the projects are expected to make use of the University’s High Performance Computing Service.

The students will attend lecture courses during Michaelmas Term (some courses may be during Lent Term) and then they will undertake a substantial Research Project over the next 6 months (from March to the end of August) in a participating Department. The research element aims to provide essential skills for continuation to a PhD programme or employment, as well as to assess and enhance the research capacity of the students. It is based on a science or technology topic which is studied by means of scientific computation. Research project topics will be provided by academic supervisors or by the industrial partners who are working with the participating Departments and may be sponsoring the research project.

There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively.

Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments on the core courses 25%; written examinations on the elective courses 25%.

Learning Outcomes

By the end of the course, students will have:

- a comprehensive understanding of numerical methods, and a thorough knowledge of the literature, applicable to their own research;
- demonstrated originality in the application of knowledge, together with a practical understanding of how research and enquiry are used to create and interpret knowledge in their field;
- shown abilities in the critical evaluation of current research and research techniques and methodologies;
- demonstrated self-direction and originality in tackling and solving problems, and acted autonomously in the planning and implementation of research.

Format

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project.

The taught element comprises core lecture courses on topics of all aspects of scientific computing, and elective lecture courses relevant to the topic of the research project. There is equal examination credit weighting between the taught and the research elements of the course, which is gained by submitting a dissertation on the project and by written assignments and examinations on the core and elective courses, respectively. Weighting of the assessed course components is as follows: Dissertation (research) 50%; written assignments 25%; written examinations 25%.

The core lectures are on topics of high performance scientific computing numerical analysis and advanced numerical methods and techniques. They are organized by the Centre for Scientific Computing and are taught and examined during the first five months (October-February). Their purpose is to provide the students with essential background knowledge for completing their dissertation and for their general education in scientific computing.

In particular, their objective is to introduce students to the simulation science pipeline of problem identification, modelling, simulation and evaluation - all from the perspective of employing high-performance computing. Numerical discretisation of mathematical models will be a priority, with a specific emphasis on understanding the trade-offs (in terms of modelling time, pre-processing time, computational time, and post-processing time) that must be made when solving realistic science and engineering problems. Understanding and working with computational methods and parallel computing will be a high priority. To help the students understand the material, the lecturers will furnish the courses with practical coursework assignments.

The lectures on topics of numerical analysis and HPC are complemented with hands-on practicals using Linux-based laptops provided by the course (students may bring their own), as well as on the University’s High Performance Computing Service.

Appropriate elective lecture courses are selected from Master’s-level courses offered by the Departments of the School of Physical Sciences, Technology or Biological Sciences. The choice of courses will be such as to provide the students with essential background knowledge for completing their theses and for their general education in the materials science application of the project. They are decided in consultation with the project supervisor. While every effort is made within the Departments to arrange the timetable in a coherent fashion, it is inevitable that some combinations of courses will be ruled out by their schedule, particularly if the choices span more than one department.

Continuing

For continuation to a PhD programme in Scientific Computing, students are required to gain a Distinction (overall grade equal or greater than 75%).

How to apply: http://www.graduate.study.cam.ac.uk/applying

Funding Opportunities

There are no specific funding opportunities advertised for this course. For information on more general funding opportunities, please follow the link below.

General Funding Opportunities http://www.graduate.study.cam.ac.uk/finance/funding

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Scientific computing is a new and growing discipline in its own right. It is concerned with harnessing the power of modern computers to carry out calculations relevant to science and engineering. Read more

Overview

Scientific computing is a new and growing discipline in its own right. It is concerned with harnessing the power of modern computers to carry out calculations relevant to science and engineering.
By its very nature, scientific computing is a fundamentally multidisciplinary subject. The various application areas give rise to mathematical models of the phenomena being studied.

Examples range in scale from the behaviour of cells in biology, to flow and combustion processes in a jet engine, to the formation and development of galaxies. Mathematics is used to formulate and analyse numerical methods for solving the equations that come from these applications.

Implementing the methods on modern, high performance computers requires good algorithm design to produce efficient and robust computer programs. Competence in scientific computing thus requires familiarity with a range of academic disciplines. The practitioner must, of course, be familiar with the application area of interest, but it is also necessary to understand something of the mathematics and computer science involved.

Whether you are interested in fundamental science, or a technical career in business or industry, it is clear that having expertise in scientific computing would be a valuable, if not essential asset. The question is: how does one acquire such expertise?

This course is one of a suite of MScs in Scientific Computation that are genuinely multidisciplinary in nature. These courses are taught by internationally leading experts in various application areas and in the core areas of mathematics and computing science, fully reflecting the multidisciplinary nature of the subject. The courses have been carefully designed to be accessible to anyone with a good first degree in science or engineering. They are excellent preparation either for research in an area where computational techniques play a significant role, or for a career in business or industry.

Key facts:
- This course is offered in collaboration with the School of Computer Science.
- It is one of a suite of courses focusing on scientific computation.
- The School of Mathematical Sciences is one of the largest and strongest mathematics departments in the UK, with over 50 full-time academic staff.
- In the latest independent Research Assessment Exercise, the school ranked 8th in the UK in terms of research power across the three subject areas within the School of Mathematical Sciences (pure mathematics, applied mathematics, statistics and operational research).

Modules

Advanced Techniques for Differential Equations

Computational Linear Algebra

Operations Research and Modelling

Programming for Scientific Computation

Scientific Computation Dissertation

Simulation for Computer Scientists

Stochastic Financial Modelling

Variational Methods

Vocational Mathematics

Data Mining Techniques and Applications

Mathematical Foundations of Programming

English language requirements for international students

IELTS: 6.0 (with no less than 5.5 in any element)

Further information



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One image tells more than a thousand words. It is not surprising that in biomedical sciences traditionally illustrations are created to enable communication between scientist and author, teacher and student, or physician and patient. Read more
One image tells more than a thousand words
It is not surprising that in biomedical sciences traditionally illustrations are created to enable communication between scientist and author, teacher and student, or physician and patient. Art and science come together in scientific illustration.

Your future expertise
When you graduate, you are a specialist who makes accurate visualisations of topics from the clinical, medical and biological domain. You have the skills to use a wide range of traditional and digital visualisation techniques.

Best of two top universities
The Master Scientific Illustration is an international study programme in which you will meet students from European countries and beyond. Unique in Europe. It is cooperation between the Faculty of Arts at Zuyd University of Applied Science in Maastricht and the Faculty of Health, Medicine and Life Sciences at Maastricht University.

Language
English/Dutch. The lecturers also speak German.

The teaching programme

Training in technical skills
Your training has a strong emphasis on the application of conventional imaging techniques in conjunction with photography, video and computer techniques for accurate two-dimensional display of three-dimensional structures. Additional training in digital three-dimensional reconstruction and modelling is given in workshops. You acquire a broad theoretical basis as well as practical experience in working with medical techniques such as dissection, processing of microscopic and macroscopic serial sections and working with medical imaging techniques such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI).

Becoming a scientific storyteller
To be able to create a scientifically correct image, you must not only be a good craftsman, but also an outstanding 'storyteller' and communicator. You must be capable of communicating with specialists from different scientific fields, understanding the scientific problem and then be able to convert it into visualisation for a specific target audience. Creating images for patient education requires a different approach than creating images for a group of medical specialists. For this reason you will not only be trained in anatomy and medical nomenclature but you’ll also be guided in the field of communication. Furthermore, by means of practical assignments (including illustrating a surgical procedure) you will build up experience in making abstractions and schematisations of the reality to create an image that tells the scientific story in the best possible way.

The themes
The teaching programme is build up in three themes:

- Man
- Animal
- Human and Animal Surgery

Each of the themes consists of three to five components and each component involves one or more assignments, which deal with various aspects of scientific illustration and in which various traditional visualisation techniques are practised and applied. The assignments are graded in terms of complexity, leading up to the level required for professional practice.

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Communicating science is a challenging topic, where you may need to explain the structure of a leaf to a seven year old one day, and report the very latest research to the world via scientific journals the next. Read more
Communicating science is a challenging topic, where you may need to explain the structure of a leaf to a seven year old one day, and report the very latest research to the world via scientific journals the next.
These both rely on subject knowledge and an ability to effectively communicate complex scientific theories to others.

This MSc will help you to build your subject knowledge of Chemistry while also enhancing your ability to communicate science, with a focus on writing for scientific publication or communication in the media. You’ll gain a Master’s level education in technical chemistry modules and develop key research skills by completing a research project in one of our world-class research groups, using state-of-the-art equipment.

By the end of the course you’ll have advanced chemical knowledge and the skills to prepare you for a career in research, scientific writing, science education or science communication.

Structure

The course spans 1 year, the first 20 weeks are lecture-based, providing you with a diverse toolbox in chemistry and scientific writing and leading onto a 24 weeks research project in chemistry.
Term 1 and Term 2:
-Writing Extended Scientific Articles
-Writing Focuses Scientific Articles and Reports
-Communicating Science to Different Audiences
-Transferrable Skills
-5 other MSc level modules from the wide selection offered by the Chemistry Department
Research Project:
-Immerse yourself in a real research project, supervised by our renowned academics

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The Masters Programme in Physiotherapy and Scientific Evidence at the Universitat Internacional de Catalunya is based on the premise that, from a scientific standpoint, in order to provide personalised and high-quality services, the physiotherapist must be able to interpret the scientific data that engenders new perspectives on intervention and research. Read more
The Masters Programme in Physiotherapy and Scientific Evidence at the Universitat Internacional de Catalunya is based on the premise that, from a scientific standpoint, in order to provide personalised and high-quality services, the physiotherapist must be able to interpret the scientific data that engenders new perspectives on intervention and research. Physiotherapists must also be able to correctly apply different scientific methodologies to the knowledge-building process.

Similarly, to appropriately respond to the growing demand for effectiveness and efficiency in health services, physiotherapists need to not only apply scientific findings to professional practice, but also intervene actively and productively in the various stages of scientific research and related endeavours.

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Scientists and engineers are tackling ever more complex problems, most of which do not admit analytical solutions and must be solved numerically. Read more
Scientists and engineers are tackling ever more complex problems, most of which do not admit analytical solutions and must be solved numerically. Numerical methods can only play an even more important role in the future as we face even bigger challenges. Therefore, skilled scientific programmers are in high demand in industry and academia and will drive forward much of the future economy.

Degree information

This programme aims to produce highly computationally skilled scientists and engineers capable of applying numerical methods and critical evaluation of their results to their field of science or engineering. It brings together best practice in computing with cutting-edge science and provides a computing edge over traditional science, engineering and mathematics programmes.

Students undertake modules to the value of 180 credits.

The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits). A Postgraduate Diploma, six core modules (90 credits), two optional modules (30 credits), is also offered.

Core modules
-Computational and Simulation Methods
-Numerical Methods
-Numerical Optimisation
-Research Computing with C++
-Research Software Engineering with Python
-Techniques of High-Performance

Optional modules - options include a wide selection of modules across UCL Engineering and UCL Mathematical & Physical Sciences.

Dissertation/report
All students undertake an independent research project project which culminates in a dissertation of 20,000 words.

Teaching and learning
The programme is delivered through a combination of lectures and hands-on programming and includes a variety of short programming projects, delivered as part of the taught component. Students are encouraged to participate in scientific seminars, for example, weekly seminars at the UCL Centre for Inverse Problems. Assessment is through examinations, assignments, small projects and the dissertation, including a computer programme.

Careers

We expect our graduates to take up exciting science and engineering roles in industry and academia with excellent prospects for professional development and steep career advancement opportunities. This degree enable students to work on cutting-edge real-life problems, overcome the challenges they pose and so contribute to advancing knowledge and technology in our society.

Employability
Students develop a comprehensive set of skills which are in high demand both in industry and academia: professional software development skills including state-of-the-art scripting and compiled languages; knowledge of techniques used in high-performance computing; understanding and an ability to apply a wide range of numerical methods and numerical optimisation; a deeper knowledge of their chosen science subject; oral and written presentational skills.

Why study this degree at UCL?

UCL has a global reputation for excellence in research and is committed to delivering impact and innovations that enhance the lives of people in the UK, across Europe and around the world. UCL is consistently placed in the global top 20 across a wide range of university rankings (currently fifth in QS World University Rankings 2014/15). Furthermore, the Thomson Scientific Citation Index shows that UCL is the 2nd most highly cited European university and 13th in the world.

Our wide-ranging expertise provides opportunities for groundbreaking interdisciplinary investigation. World-leading experts in the field and students benefit from a programme of distinguished visitors and guest speakers in many scientific seminars. In this way a network of collaborators, mentors and peers is created, which students can access in their future career.

This degree has been designed to balance a professional software development and high performance computing skills with a comprehensive selection of numerical mathematics and scientific subjects, culminating in a scientific computing dissertation project. The dual aspect of a science and computing degree enable students to tackle real-life problems in a structured and rigorous way and produce professional software for their efficient solution.

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The Faculty of Natural Sciences offers a range of MSc programmes in Scientific Research Training which includes an option to undertake an international placement at a institute/industry in which an extensive 8 month research project is undertaken. Read more

Overview

The Faculty of Natural Sciences offers a range of MSc programmes in Scientific Research Training which includes an option to undertake an international placement at a institute/industry in which an extensive 8 month research project is undertaken.
Masters in Research Training with International Placement are available in a range of disciplines;

Keele University has developed collaborative relationships with a number of international research institutes and industries which has enabled well qualified students to develop their scientific training and employment skills within an international context. We believe that this will help to develop future employees with an international outlook, competent in at least one international language in addition to English. For all students the course offers an opportunity to carry out a project within Keele University under the supervision of international experts in their appropriate discipline. International students thus have an opportunity to receive extensive training in English.

All students will spend the first part of the course at Keele, and either remain at Keele to undertake their approximately eight month research project or will undertake a placement in an international research institute/industry as laboratory research assistants, working on projects in the host institution and pursuing a programme of research training. Financial support for example through the EU ERASMUS Scheme may be available to support students undertaking their project/placement outside the UK in Europe. International students may opt to undertake their placement within the UK or at Keele University.

See the website https://www.keele.ac.uk/pgtcourses/scientificresearchtrainingwithinternationalplacement/

Within these courses training is available in a range of Research areas for example in the MSc in Biosciences Research Training: Immunology, Fisheries, Entomology, Parasitology, Medical Sciences. Please consult Prof Dave Hoole for further information.

Applicants who are not fluent in English are expected to have attained the equivalent of an IELTS score of at least 6.5. Candidates who do not meet these criteria, but can evidence appropriate, alternative professional qualifications and/or experience will be considered.

Course Aims

The aim of the courses is to enhance the employment prospects of science graduates within their chosen research discipline by developing and improving their scientific, laboratory and language skills. The courses will also provide basic skills in vocational and education training through the students’ work programmes. At the end of the training period students will:

- Have systematic understanding of knowledge, and a critical awareness of current problems and/or new insights, much of which is at, or informed by, the forefront of the subject of their chosen discipline

- Have conceptual understanding to evaluate critically current research and advanced scholarship in their discipline

- Be able to evaluate methodologies and develop critiques of them and, where appropriate, to propose new hypotheses

- Have developed scientific skills and knowledge, and transferable skills, in a international workplace setting

- Have comprehensive understanding of techniques applicable to their own research

- Be able to record and reflect on skills and learning from the research laboratory experience through the ‘Realise’ career development scheme.

- Be conversant with the running of a modern research laboratory.

- Have developed skills in an appropriate international language, including scientific vocabulary.

- Have developed organisational and commercial awareness.

For those students undertaking a placement/research project in Europe the work and achievement on the programme will be documented in the EU Europass, a record of achievement signed by all parties. All students are required to pursue a self reflecting activity which enables them to identify their personal and professional skills and development needs

Teaching & Assessment

Students must complete formal assessment on all modules. During the placement this will include keeping an extensive record of the training attended and skills obtained, with a reflective report (for the research training portfolio), as well as a dissertation on the project undertaken during the placement.

Additional Costs

Although students who under a placement project within another EU member state may be entitled to an ERASMUS scholarship there may be additional costs required to meet living expenses and insurances within the host country. The amount required will be dependent on the cost of living in each country.

Distinctive Keele Curriculum

MSc programmes at Keele offers the added value of the Distinctive Keele Curriculum (DKC), which develops students' intellectual, personal and professional capabilities (Keele Graduate Attributes) through both subject-specific and generic workshops and activities.

Scholarships

There are substantial scholarships available, please see this link: http://www.keele.ac.uk/studentfunding/bursariesscholarships/internationalfunding/postgraduate/
or
http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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Scientific Computing, a part of the natural sciences, has experienced probably the most rapid growth of all sciences in the last decade. Read more
Scientific Computing, a part of the natural sciences, has experienced probably the most rapid growth of all sciences in the last decade. With the advent of computers, a new way of studying the properties of nature became available. One no longer has to make approximations in the analytical solutions of models to obtain closed forms and interesting but intractable terms no longer have to be omitted from models right from the beginning of the modeling phase. Now, by employing methods of scientific computing, complicated equations can be solved numerically, simulations allow the solution of hitherto intractable problems, and visualization techniques reveal the beauty of complex as well as simple models.

At the CSC, we offer training in scientific computing by research. Project opportunities exist for entry every academic year. Applications are welcomed for Research Council funded projects and from self-funding students.

You will work with an academic on a subject of current research associated with scientific computing.

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The MRes offers exciting opportunities to develop advanced scientific, research and transferable skills required to become an independent researcher. Read more

Course Description

The MRes offers exciting opportunities to develop advanced scientific, research and transferable skills required to become an independent researcher.

The MRes is organised by the Centre for Human Development, Stem Cells & Regeneration (CHDSCR) which undertakes fundamental research into early development and stem cells, together with applied translational research targeting the NHS and patient benefit.

Through research projects totalling 32 weeks, you will develop a broad range of laboratory skills and work in different research environments. You will be supervised by internationally recognised academic researchers. In addition to providing broader training in scientific research, the course will develop your transferable skills including time and project management, public speaking, critical appraisal and scientific writing, thus aiding employability for a variety of careers.

Key Information

The intake for this MRes is 15-20 students.

What does this MRes provide?

During the one year, full time programme that commences in September/October, MRes students undertake taught modules in Research Skills in Biomedical Sciences, Stem Cells, Development & Regenerative Medicine, and Advanced Scientific Skills. Students also undertake two research projects totalling 32 weeks, to develop a broad range of laboratory skills and gain experience of working in different research environments. Students are supervised by internationally recognised Academic researchers in the CHDSCR.

Why study this MRes at the University of Southampton?

The University of Southampton is consistently ranked in the top 10 national and the top 100 international Universities. We are a world leading research intensive university, with a strong emphasis on education and are renowned for our innovation and enterprise. The CHDSCR is a Centre for excellence and strategic importance. Students work within vibrant and thriving interdisciplinary research programmes that harness the translational strength of the University, together with an outstanding clinical infrastructure and enterprise to translate pioneering developmental and stem cell science for patient benefit.

Who should apply?

High-achieving Biological/Biomedical Science graduates interested in developing further laboratory based research skills and subject specific knowledge before committing to a PhD programme, or a career in academia, industry, government policy or science journalism.

How will this MRes enhance your career prospects?

In addition to providing broader training in the intellectual basis of scientific research in Stem Cells, Development and Regenerative Medicine, the course will develop your transferable skills including time and project management, public speaking, critical appraisal and scientific writing, thus aiding employability for a variety of careers.

What will you learn in the modules?

i) Stem Cells, Development & Regenerative Medicine module
Students are introduced to core concepts through a series of facilitator-led workshops focussing on key research publications. Students critically appraise primary research papers and develop the skills required to understand, critique and interpret research findings. Integral to these workshops is the requirement for students to present their thoughts and participate in group discussions with both their peers and academic facilitators.

ii) Research Skills in Biomedical Sciences (RSBS) module
A combination of taught and practical sessions are used to introduce students to the core concepts underlying statistical analysis and study design that support students in handling their own data and critically appraising data published by others.

iii) Advanced Scientific Skills module
A series of taught and practical sessions introduce students to additional core concepts used in Biomedical Sciences such as the analysis and critical appraisal of large data sets. In addition, key principles required to relay research to both a scientific and lay audience are introduced. Students write both a scientific and lay abstract for a published primary paper and give a research presentation suitable for a lay audience. Thus, students develop the skills required to communicate their research to both scientists and non-specialists.

iv) Research Project modules
In the two research projects, students are introduced to a range of laboratory skills gaining valuable practical experience of research methodology, experimental design, data interpretation, viva voce, scientific writing, oral and poster presentations.

What teaching and learning methods will be used?

A variety of methods are used including lectures, research seminars, small group discussions, journal club presentations, analysis of large data sets and in depth research projects which incorporate the evaluation and presentation of research findings within the field of stem cell biology. A range of summative and formative assessment methods are used to assess student performance. These include oral presentation, poster presentation, written assignments/critical review, viva voce, laboratory proficiency, analysis of large datasets, lay/scientific abstracts and preparation of a research proposal.

What are the entry requirements for this MRes?

The minimum classification normally expected for a degree entrant is at least a second class upper division (1st or 2:1) in Biological/Biomedical Sciences or a closely related subject from any approved University.

Qualifications from non-UK institutions must be of an equivalent standard to those of UK Universities. Before commencing the course, non-UK applicants should obtain an overall IELTS score of 7.0, with a minimum of 6.0 in each component.

What are the fees for this MRes?

Home/EU: £5,900 tuition fee + £5,100 bench fee

Overseas: £18,800 tuition fee + £5,100 bench fee

Scholarships

The University of Southampton offers a number of Scholarships. Please refer to: http://www.southampton.ac.uk/uni-life/fees-funding/international-fees-funding/funding-by-country.page

To Apply

Please click on the “Apply Now” button on our website
Please state Faculty of Medicine in the drop down menu as this Programme is delivered by the Faculty of Medicine. Or click on the link below

https://studentrecords.soton.ac.uk/BNNRPROD/bzsksrch.P_Login?pos=7009&majr=7009&term=201617#_ga=1.107238786.1658067525.1460548452

To register interest, or for further Programme information please contact:

Programme Leader: Dr Franchesca Houghton
Deputy Programme Leader: Dr Rahul Tare

Email:

For general enquiries please contact:

Email:

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The primary aim of this course is to educate you to MSc level in the theoretical and practical aspects of mathematical problem solving, mathematical model development, creating software solutions and communication of results. Read more
The primary aim of this course is to educate you to MSc level in the theoretical and practical aspects of mathematical problem solving, mathematical model development, creating software solutions and communication of results.

This course provides training in the use and development of reliable numerical methods and corresponding software. It aims to train graduates with a mathematical background to develop and apply their skills to the solution of real problems. It covers the underlying mathematical ideas and techniques and the use and design of mathematical software. Several application areas are examined in detail. It develops skills in mathematical problem-solving, scientific computing, and technical communication.

Training is also provided in general computing skills, mathematical typsetting, mathematical writing, desktop and web-based mathematical software development, and the use of computer languages and packages including Mathematica, parallel computing, C#, 3D graphics and animation, and visualisation.

The MSC is now available fully online and can be taken over 12 months full time or 24 months part time.

Visit the website: http://www.ucc.ie/en/ckr36/

Course Details

By the end of the course, you will be able to:

- use the description of a real world problem to develop a reasonable mathematical model in consultation with the scientific literature and possibly experts in the area
- carry out appropriate mathematical analysis
- select or develop an appropriate numerical method and write a computer programme which gives access to a sensible solution to the problem
- present and interpret these results for a potential client or a non-technical audience

Modules

Module descriptions - http://www.ucc.ie/calendar/postgraduate/Masters/science/page05.html#mathematical

AM6001 Introduction to Mathematica (5 credits)
AM6002 Numerical Analysis with Mathematica (5 credits)
AM6003 Cellular Automata (5 credits)
AM6004 Applied Nonlinear Analysis (Computational Aspects) (5 credits)
AM6005 Modelling of Systems with Strong Nonlinearities (5 credits)
AM6006 Mathematical Modelling of Biological Systems with Differential Equations (5 credits)
AM6007 Object Oriented Programming with Numerical Examples (10 credits)
AM6008 Developing Windowed Applications and Web-based Development for Scientific Applications (5 credits)
AM6009 3D Computer Graphics and Animation for Scientific Visualisation (5 credits)
AM6010 Topics in Applied Mathematical Modelling (5 credits)
AM6011 Advanced Mathematical Models and Parallel Computing with Mathematica (5 credits)
AM6012 Minor Dissertation (30 credits)

Format

The course places great emphasis on hands-on practical skills. There is a computer laboratory allocated solely for the use of MSc students. PCs are preloaded with all the required software and tools. Online students are expected to have a suitable PC or laptop available; all required software is provided for installation to faciliate course work. Online teaching hours, involving lecturers, tutorials and practical demonstrations, usually take place in the morninbg. The rest of the time, you are expected to do exercises, assignments and generally put in the time required to acquire key skills.

Assessment

Continuous assessment is the primary method of examining. In each module, typically 40% of the marks are available for take-home assignments and the remaining 60% of marks are examined by a practical computer-based examination. Final projects are read and examined by at least two members of staff.

For more information, please see the Book of Modules 2015/2016 - http://www.ucc.ie/calendar/postgraduate/Masters/science/page05.html#mathematical

Careers

Quantitative graduates with software skills are in high demand in industry according to the Governments Expert Group on Future Skills Needs. Demand for these skills is project to rise over the coming years not just in Ireland but in the EU and globally. Graduates have recently secured jobs in the following areas: banking, financial trading, consultancy, online gambling firms, software development, logistics, data analysis and with companies such as AIB, McAfee, Fexco, DeCare Systems, MpStor, the Tyndall Institute, Matchbook.com, First Derivatives and KPMG.

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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-Language & Automation
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Optional modules - students choose two optional modules from the list below:
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-Subtitling
-Translating for Voiceover & Dubbing

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Dissertation/report
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Teaching and learning
The degree programme is delivered through a combination of lectures, interactive practical seminars, practical translation assignments and hands-on experience with a wide range of translation tools and technology. Assessment is carried out through essays, project work, take-home translation assessments and in-class tests.

Careers

Most students find challenging and rewarding work within the translation industry on completion of the degree. Some are working as in-house and freelance translators, while others are active as project managers, translation tools experts and computational linguists in organisations such as Xerox, Amazon, SDL International, Expedia, Hogarth, Cannon, SDI-Media, ITR, VSI and Deluxe to name but a few. In addition, the MSc is designed to serve as a basis for a Translation Studies PhD.

Employability
Translation is a dynamic and rapidly developing profession, which calls for linguistically talented people with a clear understanding of the issues involved in cross-cultural transcoding and who are able to utilise the latest computer-based tools.
On completion of this MSc, you will be well placed for a fast-track progression in your chosen career. We aim to make you highly attractive to employers within the translation industry and the world of communications, an to international institutions such as the United Nations and the European Union. In addition, the skills acquired through taking this MSc will be highly relevant if your aim is to establish yourself as a freelance translator.

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