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Research profile. Read more

Research profile

Research in the Division of Genetics and Genomics aims to advance understanding of complex animal systems and the development of improved predictive models through the application of numerical and computational approaches in the analysis, interpretation, modelling and prediction of complex animal systems from the level of the DNA and other molecules, through cellular and gene networks, tissues and organs to whole organisms and interacting populations of organisms.

The biology and traits of interest include: growth and development, body composition, feed efficiency, reproductive performance, responses to infectious disease and inherited diseases.

Research encompasses basic research in bioscience and mathematical biology and strategic research to address grand challenges, e.g. food security.

Research is focussed on, but not restricted to, target species of agricultural importance including cattle, pigs, poultry, sheep; farmed fish such as salmon; and companion animals. The availability of genome sequences and the associated genomics toolkits enable genetics research in these species.

Expertise includes genetics (molecular, quantitative), physiology (neuroendocrinology, immunology), ‘omics (genomics, functional genomics) with particular strengths in mathematical biology (quantitative genetics, epidemiology, bioinformatics, modelling).

The Division has 18 Group Leaders and 4 career track fellows who supervise over 30 postgraduate students.

Training and support

Studentships are of 3 or 4 years duration and students will be expected to complete a novel piece of research which will advance our understanding of the field. To help them in this goal, students will be assigned a principal and assistant supervisor, both of whom will be active scientists at the Institute. Student progress is monitored in accordance with School Postgraduate (PG) regulations by a PhD thesis committee (which includes an independent external assessor and chair). There is also dedicated secretarial support to assist these committees and the students with regard to University and Institute matters.

All student matters are overseen by the Schools PG studies committee. The Roslin Institute also has a local PG committee and will provide advice and support to students when requested. An active staff:student liaison committee and a social committee, which is headed by our postgraduate liaison officer, provide additional support.

Students are expected to attend a number of generic training courses offered by the Transkills Programme of the University and to participate in regular seminars and laboratory progress meetings. All students will also be expected to present their data at national and international meetings throughout their period of study.

Facilities

In 2011 The Roslin Institute moved to a new state-of-the-art building on the University of Edinburgh's veterinary campus at Easter Bush. Our facilities include: rodent, bird and livestock animal units and associated lab areas; comprehensive bioinformatic and genomic capability; a range of bioimaging facilities; extensive molecular biology and cell biology labs; café and auditorium where we regularly host workshops and invited speakers.

The University's genomics facility Edinburgh Genomics is closely associated with the Division of Genetics and Genomics and provides access to the latest genomics technologies, including next-generation sequencing, SNP genotyping and microarray platforms (genomics.ed.ac.uk).

In addition to the Edinburgh Compute and Data Facility’s high performance computing resources, The Roslin Institute has two compute farms, including one with 256 GB of RAM, which enable the analysis of complex ‘omics data sets.



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Research profile. Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. Read more

Research profile

Robots have the potential to revolutionise society and the economy, working for us, beside us, and interacting with us. This EPSRC-sponsored programme will produce graduates with the technical skills and industry awareness to create an innovation pipeline from academic research to global markets.

The robotics and autonomous systems area has been highlighted by the UK Government in 2013 as one of the eight Great Technologies that underpin the UK's Industrial Strategy for jobs and growth. Key application areas include manufacturing, assistive and medical robots, offshore energy, environmental monitoring, search and rescue, defence, and support for the ageing population.

The University of Edinburgh and Heriot-Watt University are jointly offering this innovative four-year PhD training programme, which combines a strong general grounding in current theory, methods and applications with flexibility for individualised study and a specialised PhD project.

Robotics and autonomous systems are increasingly studied beyond the range of classical engineering. Today robots represent one of the main areas of application of computer science and provide challenges for mathematics and natural science.

It is impossible to imagine transportation, warehousing, safety systems, space and marine exploration, prosthetics, and many other areas of industry, technology and science without robots. Robots are used in theoretical biology and the neurosciences as a model of behaviour.

Areas of interest specific to the center include: movement control, planning, decision making, bio- and neurorobotics, human-robot interaction, healthcare applications, robot soccer, neuroprosthetics, underwater robotics, bipedal walking, service robots, robotic co-workers, computer vision, speech processing, computer animation realistic simulations, and machine learning.

Many more topics can be found be exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:

Training and support

Our four-year PhD programme combines Masters level coursework and project work with independent PhD-level research.

In the first year, you will undertake four or five masters level courses, spread throughout robotics, machine learning, computational neuroscience, computer architectures, statistics, optimization, sensorics, dynamics, mechanics, image processing, signal processing, modelling, animation, artificial intelligence, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take less courses and a larger project.)

At the end of the first year, successful students will be awarded an MSc by Research by the University of Edinburgh. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors. The PhD will be awarded jointly by the University of Edinburgh and the Heriot-Watt University.

You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.

Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.

Our user partners in industry include companies working in offshore energy, environmental monitoring, defence, assisted living, transport, advanced manufacturing and education. They will provide the real world context for research, as well as opportunities for reciprocal secondments, internships and involvement in our industrial engagement programme.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

You will have access to the outstanding facilities in the Edinburgh Robotarium, a national facility for research into robot interaction, supporting the research of more than 50 world-leading investigators from 17 cross-disciplinary research groups.

Research groups at the Edinburgh Robotarium include humanoid movement control, underwater, land and airborne autonomous vehicles, human robot interaction, bio- and neuro-robotics, and planning and decision making in multirobot scenarios.

In addition, our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.

Career opportunities

Our aim is to produce innovation-ready graduates who are skilled in the principles of technical and commercial disruption and who understand how finance and organisation realise new products in start-up, SME and corporate situations.

We intend for our graduates to become leaders in the globally emerging market for autonomous and robotic systems that reduce risk, reduce cost, increase profit and protect the environment. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.

Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.



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Research profile. Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Read more

Research profile

Data science is the study of the computational principles and systems for extracting knowledge from data, for maintaining data, and for ensuring its quality. Large data sets are now generated by almost every activity in science, society and commerce.

This EPSRC-sponsored programme tackles the question: how can we efficiently find patterns in these vast streams of data?

Many research areas in informatics are converging on the problem of data science. Those represented in the School include machine learning, databases, data management, optimization and cluster computing; and also the unstructured data issues generated in areas such as natural language processing and computer vision.

Our programme will allow you to specialise and perform advanced research in one of these areas, while gaining breadth and practical experience throughout data science.

A short sample of our research interests includes:

  • machine learning applied to problems in biology, astronomy, computer science, engineering, health care, and e-commerce
  • database theory and technology for managing unstructured data and for maintaining trust in data
  • big data and management of streaming data
  • management of unstructured data, including natural language processing, speech processing, and computer vision

Many more topics can be found by exploring the Centre’s web pages, particularly the personal web pages of the Centre supervisors:

You will be supervised by one of our 45 world-renowned faculty. You will also benefit from interacting with a group of 35 leading industrial partners, including Amazon, Apple, Google, IBM, and Microsoft.

This will ensure your research is informed by real world case studies and will provide a source of diverse internship opportunities. Moreover we believe that key research insights can be gained by working across the boundaries of conventional groupings.

Training and support

The MScR is the first part of a longer 1+3 (MSc by Research + PhD) programme offered by the School through the EPSRC.

Our four-year PhD programme combines masters level coursework and project work with independent PhD-level research.

In the first year, you will undertake six masters level courses, spread throughout machine learning, databases, statistics, optimization, natural language processing, and related areas. You will also undertake a significant introductory research project. (Students with previous masters-level work in these areas may request to take three courses and a larger project, instead of six courses.)

At the end of the first year, successful students will be awarded an MSc by Research. From this basis, the subsequent three years will be spent developing and pursuing a PhD research project, under the close supervision of your primary and secondary supervisors.

You will have opportunities for three to six month internships with leading companies in your area, and to participate in our industrial engagement programme, exchanging ideas and challenges with our sponsor companies.

Throughout your studies, you will participate in our regular programmes of seminars, short talks and brainstorming sessions, and benefit from our pastoral mentoring schemes.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

Facilities

Our research groups contain a diverse range of compute clusters for compute and data-intensive work, including a large cluster hosted by the Edinburgh Compute and Data Facility.

More broadly, the award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

We intend for our graduates to become the research leaders, both in industry and academia, whose work will lead the way in data science. This vision is shared by our industrial supporters, whose support for our internship programme indicates their strong desire to find highly qualified new employees.

You will be part of a new generation of data scientists, with the technical skills and interdisciplinary awareness to become R&D leaders in this emerging area.

Our component research groups already have excellent track-records in post-graduation destinations, including the research labs of industry-leading companies, and post-doctoral research positions in top tier universities.



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The Institute for Neuroscience has clinicians and scientists working together to understand the brain and behaviour. Read more
The Institute for Neuroscience has clinicians and scientists working together to understand the brain and behaviour. From the basic biology of neurons through to complex processes of perception and decision-making behaviour, we address how the mind, brain, and body work together and translate this knowledge into clinical applications for patient benefit.

We offer MPhil supervision in the following research areas:

Motor systems development, plasticity and function

We conduct clinical and preclinical studies of normal and abnormal development and plasticity of the motor system. We run functional studies and computer modelling of motor system activity throughout the neuraxis. We also research the development and assessment of novel therapies for motor disorders/lesions including stem cell and brain-machine interface.

Visual system development, plasticity and repair]]
We research the development and assessment of novel neuro-technological approaches to retinal dystrophy repair including brain-machine interface and stem cells. We use in vitro approaches to look at retinal development and visual system wiring.

[[Neural computation and network systems
We conduct experimental and theoretical (computational) studies aimed at understanding how neurones throughout the brain interact in localised networks to compute complex tasks. Our research looks at the role of network activity in a wide range of neurological, neurodegenerative and psychiatric disorders.

Auditory neuroscience

We conduct clinical and preclinical studies aimed at understanding the brain mechanisms involved in detection, discrimination and perception of sound. We are interested in how these mechanisms are affected in individuals with brain disorders, including dementia, autism and stroke.

Pain

Our research focuses on:
-Understanding mechanisms underlying pain, analgesia, and anaesthesia
-The development of methods to assess pain and to alleviate pain in animals and humans

Psychobiology

We conduct studies in laboratory animals, healthy volunteers and patient populations investigating the mechanisms underlying mood, anxiety and addiction disorders and their treatment. Allied research looks at normal neuropsychology, and the physiology and pharmacology of neurotransmitter and endocrine systems implicated in psychiatric disorders.

Neurotoxicology

Our research focuses on delineating the effects and understanding the mechanisms of action of established and putative neurotoxins, including environmental and endogenous chemicals, and naturally occurring toxins.

Forensic psychiatry and clinical psychology

Our research covers:
-The assessment, treatment and management of sex offender risk
-Development and assessment of cognitive models
-Cognitive behavioural therapy (CBT) treatment for bipolar disorder, psychosis, anxiety and developmental disorders
-Developmental disorders of perception and cognition

Systems and computational neuroscience

We conduct theoretical (computational) and experimental studies aimed at understanding the neuroanatomy, neuropharmacology of vision, visual attention and episodic memory.

Behaviour and evolution

Many research groups take an evolutionary and comparative approach to the study of brain and/or behaviour, comparing brain function and behaviour among such disparate groups as insects, birds and mammals, and studying the ecological and evolutionary functions of behaviour. Much of our work is at the forefront of the fields of neuroethology, behavioural ecology and comparative cognition, and has important implications for the study and practice of animal welfare.

Visual perception and human cognition

We research:
-Colour and depth perception - perception of natural scenes
-Psychophysics and attention - memory
-Word learning in children
-Body image dysfunction
-Visual social cognition and face processing
-Advertising and consumer behaviour

Pharmacy

Our new School of Pharmacy has scientists and clinicians working together on all aspects of pharmaceutical sciences and clinical pharmacy.

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Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Logic and Computation at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017). Read more

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Logic and Computation at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

Logic is the basis for reasoning about what we can express and compute, having a profound influence in philosophy, linguistics, mathematics, computer science, and electronics. Since the invention of computers, logic has always been the primary source of ideas and techniques for the theoretical and practical development of programming.

Today, as the scope of programming technologies expands, and the horizon of applications widens, research in logic and its applications in software and hardware development is booming. In industry, formal methods are an integral part of system development, e.g., in automotive electronics, avionics, and chip design.

The MRes Logic and Computation course will teach you about advanced techniques in logic and their applications in research problems in computer science. You will receive an elite education of direct relevance to research and development problems in contemporary information and communication technology (ICT).

Key Features

Teaching score of Excellent.

Highest percentage of top-class researchers of any Computer Science department in Wales – and only 12 in the UK have higher.

70% of the research activity assessed as world-leading or internationally excellent.

Our industrial programme IT Wales which can arrange vacation employment placements.

A state-of-the-art education.

Friendly staff, committed to the highest standards.

A university with high success rate, low drop-out rate, and excellent student support.

Swansea's Library spends more per student on books and other resources than any other university in Wales, and most in the UK.

Course Content

Research Component

The main part of the MRes in Logic and Computation is a substantial and challenging project involving cutting edge research. The completion of such a project will give you the ability and confidence to pursue a successful career in industrial research and development, or to proceed to academic PhD studies.

Taught Component

In seminars and reading courses you will enter the world of research by studying general topics in theoretical computer science as well as special topics for your research project. Guided by your supervisor you will conquer new technical subjects and learn to critically assess current research.

Lecturers and students will meet regularly to discuss recent developments and give informal talks. Topics of the seminars are chosen in accordance with the research projects, and will cover material such as:

Theorem proving techniques

Formal program verification

Algebraic and coalgebraic specification

Modelling of distributed systems

Advanced methods in complexity theory

Additionally you will choose selected taught modules covering important topics such as Critical Systems, IT Security, Concepts of Programming

Languages, Artificial Intelligence Applications, Design Patterns and Generic Programming.

Facilities

The Department is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

90% of Swansea’s Computer Science graduates are in full-time employment or further study within six months of graduating (HESA June 2011).

Some example job titles from the HESA survey 2011:

Software Engineer: Motorola Solutions

Change Coordinator: Logica

Software Developer/Engineer: NS Technology

Workflow Developer: Irwin Mitchell

IT Developer: Crimsan Consultants

Consultant: Crimsan Consultants

Programmer: Evil Twin Artworks

Web Developer & Web Support: VSI Thinking

Software Developer: Wireless Innovations

Associate Business Application Analyst: CDC Software

Software Developer: OpenBet Technologies

Technical Support Consultant: Alterian

Programming: Rock It

Software Developer: BMJ Group

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).



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What's the Master of Mathematical Engineering all about? . The Master of Science in Mathematical Engineering is unique in Flanders and is supported by high quality research that has led to several spin-off companies. Read more

What's the Master of Mathematical Engineering all about? 

The Master of Science in Mathematical Engineering is unique in Flanders and is supported by high quality research that has led to several spin-off companies.

The ever increasing computer capacity for treatment of data, storage of measurements and data, and computing models, offers solutions to important challenges in business and society. Often mathematical techniques are crucial. A few examples:

  • How does an auto-pilot work?
  • How do you trace credit card fraud?
  • How do you find out which genes play an important role in cancer?
  • How do you simulate the evolution of greenhouses gases in the atmosphere?
  • How do you determine the value of financial products such as options?
  • How do you compress the images of fingerprints?
  • How do you compute airplane noise?
  • How do you optimise the process in a chemical reactor?
  • How do you analyse customer data and model consumer profiles?
  • How do you find abnormalities in brain images caused by epileptic seizures?

At first sight, these applications have little in common. However, for each of those, large amounts of data and various models are available. Mathematical techniques are crucial for the efficient treatment of these data and for fast and accurate simulation and optimisation.

Structure 

The programme consists of a technical core education on advanced topics on mathematics, process control, system identification, numerical optimisation, numerical simulation of differential equations, scientific software, and a project where students solve a problem that requires a combination of knowledge and skills taught at the core education.

The students freely choose among the many elective courses. They are stimulated to select courses from different tracks in order to obtain a broad overview of techniques and applications of mathematics in engineering science.

The elective courses include technical courses on mathematical techniques, as well as courses that are taught in other Master’s programmes that focus on modelling and the use of these mathematical techniques.

International

The Erasmus+ programme gives you the opportunity to gain valuable international experience by completing (usually) one semester at a participating European university. Student exchange agreements are also in place with a number of Japanese and American universitiesThis arrangement does not lengthen the duration of your degree programme, nor does it result in a separate degree.

It is also possible to complete an internship at a company abroad. Ask the internship coordinator for more information.

These studying abroad opportunities and internships are complemented by the short courses offered via the Board of European Students of Technology (BEST) network. The Faculty of Engineering Science is also member of the international networks CESAER, CLUSTER and T.I.M.E.

You can find more information on this topic on the website of the Faculty.

Strengths

The programme is generally perceived positively by alumni.

There are many elective courses, which gives freedom to develop an individual study programme tuned to the student’s interest. This fact is often mentioned by students and alumni as one of the strong points of the programme.

Since September 2014, the EC (Educational Committee) can rely on the expertise of the Industrial Advisory Board.

The programme is organised by the departments of computer science and electrical engineering. The students can use the computer infrastructure of both departments. The students become familiar with different fields of research which broadens their view.

This is an initial Master's programme and can be followed on a full-time or part-time basis.

Career perspectives

Many small, dynamic, young companies are active in the field of mathematical engineering. But even big players in materials, chemistry, automotive, aerospace, biomedical industries, as well as finance, are increasingly interested in mathematical engineering thanks to the ever increasing complexity of mathematical models and more stringent environmental standards and comfort expectations. Many of our young graduates start their careers in the R&D departments of high-tech companies or matriculate into one of the university’s PhD programmes.



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The Department of Zoology at UBC is internationally renowned for its research in a variety of modern biological sciences, including ecology, evolution, physiology, neurobiology, cell biology and development. Read more
The Department of Zoology at UBC is internationally renowned for its research in a variety of modern biological sciences, including ecology, evolution, physiology, neurobiology, cell biology and development. The department has many strong interdisciplinary connections between different areas of research.

Zoology has a solid computing infrastructure of computer labs, compute servers, loaner equipment, colour and poster printers, and three computing support staff for knowledgable help.

Program Overview

Zoology encompasses over 50 principal investigators. Research interests of faculty members can be divided into several broad categories with substantial overlap of interest and collaboration among these arbitrary groups. The program vigorously promotes integrative research in biology and actively participates in several interdisciplinary programs, including the graduate programs in genetics, neuroscience, applied mathematics, and resource management.

Zoology offers a wide variety of research programs leading to the Master of Science and Doctor of Philosophy in the following areas: cell and developmental biology, community and population ecology, comparative physiology and biochemistry, neurobiology, and evolutionary biology.

In addition Zoology is actively involved in several interdisciplinary programs of instruction and research including:
- Fisheries Centre
- Centre for Biodiversity Research
- Centre for Applied Conservation Research (CACR), Faculty of Forestry
- Genetics Program
- ICORD (International Collaboration on Repair Discoveries)
- Institute of Applied Mathematics
- BC Cancer Research Centre
- Life Sciences Institute

Quick Facts

- Degree: Master of Science
- Specialization: Zoology
- Subject: Life Sciences
- Mode of delivery: On campus
- Program components: Coursework + Thesis required
- Faculty: Faculty of Science

Research focus

- Cell and Developmental Biology: molecular and genetic bases of development and cellular function
- Comparative Physiology: aspects of animal physiology from a comparative perspective, particularly those mechanisms underlying adaptive responses to environmental constraints
- Ecology: blends field ecology and natural history with ecological theory and conservation biology
- Evolution: encompasses evolutionary ecology, evolutionary genetics, conservation genetics, theory, and systematics

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Why does one car have more air resistance than another? How can a satellite be kept in an orbit around the earth? Applied mathematicians provide the necessary theoretical background to such questions. Read more
Why does one car have more air resistance than another? How can a satellite be kept in an orbit around the earth? Applied mathematicians provide the necessary theoretical background to such questions.

Applied Mathematics is concerned with the development and exploitation of mathematical tools for the analysis and control of technological problems. Mathematical modelling of the problem at hand plays a basic role, followed by (numerical) analysis and (computer) simulation. Interaction with other disciplines and with specialists in the fields of application is essential.

Two specialisations

- Systems and control
This specialisation deals with the mathematics behind designing stable controllers for satellites, purification plants or more general technical processes. Questions that arise include: is it possible to suppress perturbations in a system? Or, how can one stabilize and control a system without causing shocks?

- Computational science and numerical mathematics
This specialisation emphasizes modelling, analysis and the simulation of fluid flow problems. Although the applications can be quite diverse, the basic mathematical methods are much the same. If you are capable of computing the flow of air, you are able to predict the weather, and to design cars and aeroplanes. People who can simulate the flow of water can compute the optimal shape of ships, harbours and dikes.

Why in Groningen?

- Typical for Applied Mathematic in Groningen: the connection between mathematical theory and real-life problems
- You can combine courses from both Mathematics and Applied Mathematics
- Courses include related fields, e.g. Econometrics and Physics
- Internship and research opportunities

Job perspectives

A Master's degree in Applied Mathematics opens up many job opportunities. During the Master's programme you will learn to think in a logical, systematic, and problem-oriented way in a multidisciplinary environment. After having finished the programme you will be able to apply mathematics to a technical problem, and hence to work at the interface between theory and practice. These qualities are highly appreciated by employers.

Job opportunities are available in industrial companies, research institutes, as well as in universities. Examples of companies looking for applied mathematicians include Gasunie, Philips, Stork, Shell, Corus, KPN and small engineering bureaus. Examples of research institutes are the National Aerospace Laboratory (NLR, the picture on these pages comes from the NLR), WL/Delft Hydraulics, KNMI and TNO.You can start a university career by working as a PhD student, which means working for four years on a research project and writing a thesis. After having successfully defended this thesis, you will be awarded a PhD degree. Afterwards you can continue an academic career or start a career in industry.

Job examples

- Research institutes
- Engineering bureaus
- Industrial companies
- Universities

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By studying this Masters, you’ll be well placed to join one of the most performance-driven applications of computer science – the multi-billion pound global games industry. Read more

By studying this Masters, you’ll be well placed to join one of the most performance-driven applications of computer science – the multi-billion pound global games industry. As a graduate, you will work at the top-end of the games industry and will develop computer graphics on high-performance platforms, or write engines for the next generation of games.

Developed in collaboration with a prestigious steering group, this course will build on your computer science knowledge to specialise in computer graphics, where programmers must push computing resources to the limit, using deep understanding of architecture and high-performance programming to generate new levels of graphical realism and visual effects on cutting-edge hardware platforms.

You’ll gain proficiency in low-level programming, a thorough understanding of multi-core and many-core programming techniques, game engine and tool development techniques, and fundamental insight into graphics and the practical techniques used in games.

Designed to meet the needs of industry

You can be sure that what you learn will be the technical skills required by industry as this course has been developed in collaboration with a prestigious steering group from industry comprising:

Members of our steering group will contribute to the delivery of the course ensuring that you learn the latest industry developments. You’ll also have the opportunity to engage directly with the games industry, through:

  • co-curricula industry lectures
  • visits to games development companies
  • attending UK games events.

We are also a member of Game Republic, which is an industry-led professional games network that supports and promotes the Yorkshire and Northern England games sector. We hope that students of this course will take part in the Game Republic student showcase.

Specialist facilities

You will use workstations with high-end GPUs to act as DirectX12 and Vulkan games development platforms and have access to other specialist hardware including the latest Virtual Reality headsets for experimenting on. For learning games engine design and exploring new rendering techniques, students will be working with the source code of a leading game engine, Epic’s “Unreal Engine 4”.

Course content

Interested in graphics? Our course provides unparalleled opportunity to study graphics in depth, with more modules on advanced graphics and graphics programming than any other institution in the Russell Group.

A series of compulsory modules will develop your knowledge and skills in high-performance graphics and games engineering. By the end of this course, your technical skills – as demanded by the industry – will be second to none in the following areas:

  • low-level programming (C++, Graphic and Compute shaders)
  • multi-core and many core programming techniques
  • computer graphics, from core principles to the practical techniques used in games, including: geometric models; animation and simulation; advanced methods for visual realism.
  • game engine and tool development techniques.

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

Want to find out more about your modules?

Take a look at our High-Performance Graphics and Games Engineering module descriptions.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Parallel and Concurrent Programming 15 credits
  • Foundations of Modelling and Rendering 15 credits
  • Games Engines and Workflow 15 credits
  • Geometric Processing 15 credits
  • High-Performance Graphics 15 credits
  • Animation and Simulation 15 credits

Optional modules

  • Bio-Inspired Computing 15 credits
  • Data Mining and Text Analytics 15 credits
  • Cloud Computing 15 credits
  • Semantic Technologies and Applications 15 credits
  • Image Analysis 15 credits
  • Scheduling 15 credits
  • Scientific Computation 15 credits
  • Graph Theory: Structure and Algorithms 15 credits

For more information on typical modules, read High Performance Graphics and Games Engineering MSc in the course catalogue

Learning and teaching

We have an active research environment which feeds directly into our teaching. You’ll have regular contact with staff through lectures, seminars, tutorials, small group work and project meetings. Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.

Our close links with industry also mean that you have direct contact with industry and potential employers from an early stage in your course. Members of our steering group will contribute to the delivery of the course ensuring that you learn the latest industry developments. You’ll also have the opportunity to engage directly with the games industry through industry lectures, visits to games development companies and attending UK games events.

Assessment

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

Career opportunities

There is a shortage of highly skilled graduates in this field, so once you’ve completed this course it’s highly likely that you will be in demand. You’ll be well placed to join the multi-billion pound global games industry, in positions such as a software developer, technology leader for graphics and rendering or a games development leader or a technical director. You’ll be expected to progress rapidly into leadership roles, becoming the ‘go to’ person for expertise in graphics technologies.

Outside the games industry, the programming skills you develop during this course would allow you to secure a position in other performance-driven industries, for example embedded systems. Your computer graphics expertise could lead to opportunities in the animation and visual production industries.



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The International Master's program in Data Analytics enables students to take up challenging research in the interdisciplinary field with major focus on data analytics. Read more

Course description

The International Master's program in Data Analytics enables students to take up challenging research in the interdisciplinary field with major focus on data analytics.
During the program you will learn deeply about bleeding edge models and methods in machine learning as well as about turning ideas into code and thus design, implement and run your own experiments. Training on a largescale compute cluster and big data applications is part of the program, too.
During your study project you will learn how to write research proposals, how to manage research projects as a team and how to present results to a critical.

The Data Analytics program combines complex mathematical and statistical models and methods from machine learning with problems from an application domain using tools and techniques for processing Big Data. The programs is structured in a way that it builds on the core data modeling and data analytics knowledge with application on the large volume of real-world data using modern big data technologies such as the Apache Hadoop, Apache Spark, NoSQL etc.

Core Modules

* Machine Learning
* Advanced Machine Learning
* Modern Optimization Techniques
* Programming machine Learning
* Big Data Analytics
* Distributed Data Analytics
* Planning and Optimal Control

Application and Admission

The program starts at University of Hildesheim in the beginning of October every year. For details on how to apply please visit our website http://www.ismll.uni-hildesheim.de/da

FAQs

The list of frequently asked questions can be found here http://www.ismll.uni-hildesheim.de/da/faq_en.html. We recommend you to go through these questions. If you didn't find your answer, please feel free to contact us.

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