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Masters Degrees (Algorithm)

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Goal of the pro­gramme. Life Sciences.  is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (. Read more

Goal of the pro­gramme

Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE).

The Master's Programme is offered by the Faculty of Science. Teaching is offered in co-operation with the Faculty of Medicine and the Faculty of Biological and Environmental Sciences. As a student, you will gain access to active research communities on three campuses: Kumpula, Viikki, and Meilahti. The unique combination of study opportunities tailored from the offering of the three campuses provides an attractive educational profile. The LSI programme is designed for students with a background in mathematics, computer science and statistics, as well as for students with these disciplines as a minor in their bachelor’s degree, with their major being, for example, ecology, evolutionary biology or genetics. As a graduate of the LSI programme you will:

  • Have first class knowledge and capabilities for a career in life science research and in expert duties in the public and private sectors
  • Competence to work as a member of a group of experts
  • Have understanding of the regulatory and ethical aspects of scientific research
  • Have excellent communication and interpersonal skills for employment in an international and interdisciplinary professional setting
  • Understand the general principles of mathematical modelling, computational, probabilistic and statistical analysis of biological data, and be an expert in one specific specialisation area of the LSI programme
  • Understand the logical reasoning behind experimental sciences and be able to critically assess research-based information
  • Have mastered scientific research, making systematic use of investigation or experimentation to discover new knowledge
  • Have the ability to report results in a clear and understandable manner for different target groups
  • Have good opportunities to continue your studies for a doctoral degree

Further information about the studies on the Master's programme website.

Pro­gramme con­tents

The Life Science Informatics Master’s Programme has six specialisation areas, each anchored in its own research group or groups.

Algorithmic bioinformatics with the Genome-scale algorithmicsCombinatorial Pattern Matching, and Practical Algorithms and Data Structures on Strings research groups. This specialisation area educates you to be an algorithm expert who can turn biological questions into appropriate challenges for computational data analysis. In addition to the tailored algorithm studies for analysing molecular biology measurement data, the curriculum includes general algorithm and machine learning studies offered by the Master's Programmes in Computer Science and Data Science.

Applied bioinformaticsjointly with The Institute of Biotechnology and genetics.Bioinformatics has become an integral part of biological research, where innovative computational approaches are often required to achieve high-impact findings in an increasingly data-dense environment. Studies in applied bioinformatics prepare you for a post as a bioinformatics expert in a genomics research lab, working with processing, analysing and interpreting Next-Generation Sequencing (NGS) data, and working with integrated analysis of genomic and other biological data, and population genetics.

Biomathematics with the Biomathematics research group, focusing on mathematical modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of topics ranging from problems at the molecular level to the structure of populations. To tackle these problems, the research group uses a variety of modelling approaches, most importantly ordinary and partial differential equations, integral equations and stochastic processes. A successful analysis of the models requires the study of pure research in, for instance, the theory of infinite dimensional dynamical systems; such research is also carried out by the group. 

Biostatistics and bioinformatics is offered jointly by the statistics curriculum, the Master´s Programme in Mathematics and Statistics and the research groups Statistical and Translational GeneticsComputational Genomics and Computational Systems Medicine in FIMM. Topics and themes include statistical, especially Bayesian methodologies for the life sciences, with research focusing on modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of collaborative topics in various biomedical disciplines. In particular, research and teaching address questions of population genetics, phylogenetic inference, genome-wide association studies and epidemiology of complex diseases.  

Eco-evolutionary Informatics with ecology and evolutionary biology, in which several researchers and teachers have a background in mathematics, statistics and computer science. Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Evolutionary biology studies processes supporting biodiversity on different levels from genes to populations and ecosystems. These sciences have a key role in responding to global environmental challenges. Mathematical and statistical modelling, computer science and bioinformatics have an important role in research and teaching.

Systems biology and medicine with the Genome-scale Biology Research Program in BiomedicumThe focus is to understand and find effective means to overcome drug resistance in cancers. The approach is to use systems biology, i.e., integration of large and complex molecular and clinical data (big data) from cancer patients with computational methods and wet lab experiments, to identify efficient patient-specific therapeutic targets. Particular interest is focused on developing and applying machine learning based methods that enable integration of various types of molecular data (DNA, RNA, proteomics, etc.) to clinical information.



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This highly focused MSc explores some of the mathematics behind modern secure information and communications systems, specialising in mathematics relevant for public key cryptography, coding theory and information theory. Read more
This highly focused MSc explores some of the mathematics behind modern secure information and communications systems, specialising in mathematics relevant for public key cryptography, coding theory and information theory. During the course critical awareness of problems in information transmission, data compression and cryptography is raised, and the mathematical techniques which are commonly used to solve these problems are explored.

The Mathematics Department at Royal Holloway is well known for its expertise in information security and cryptography and our academic staff include several leading researchers in these areas. Students on the programme have the opportunity to carry out their dissertation projects in cutting-edge research areas and to be supervised by experts.

The transferable skills gained during the MSc will open up a range of career options as well as provide a solid foundation for advanced research at PhD level.

See the website https://www.royalholloway.ac.uk/mathematics/coursefinder/mscmathematicsofcryptographyandcommunications(msc).aspx

Why choose this course?

- You will be provided with a solid mathematical foundation and a knowledge and understanding of the subjects of cryptography and communications preparing you for research or professional employment in this area.

- The mathematical foundations needed for applications in communication theory and cryptography are covered including Algebra, Combinatorics Complexity Theory/Algorithms and Number Theory.

- You will have the opportunity to carry out your dissertation project in a cutting-edge research area; our dissertation supervisors are experts in their fields who publish regularly in internationally competitive journals and there are several joint projects with industrial partners and Royal Holloway staff.

- After completing the course former students have a good foundation for the next step of their career both inside and outside academia.

Department research and industry highlights

The members of the Mathematics Department cover a range of research areas. There are particularly strong groups in information security, number theory, quantum theory, group theory and combinatorics. The Information Security Group has particularly strong links to industry.

Course content and structure

You will study eight courses as well as complete a main project under the supervision of a member of staff.

Core courses:
Advanced Cipher Systems
Mathematical and security properties of both symmetric key cipher systems and public key cryptography are discussed as well as methods for obtaining confidentiality and authentication.

Channels
In this unit, you will investigate the problems of data compression and information transmission in both noiseless and noisy environments.

Theory of Error-Correcting Codes
The aim of this unit is to provide you with an introduction to the theory of error-correcting codes employing the methods of elementary enumeration, linear algebra and finite fields.

Public Key Cryptography
This course introduces some of the mathematical ideas essential for an understanding of public key cryptography, such as discrete logarithms, lattices and elliptic curves. Several important public key cryptosystems are studied, such as RSA, Rabin, ElGamal Encryption, Schnorr signatures; and modern notions of security and attack models for public key cryptosystems are discussed.

Main project
The main project (dissertation) accounts for 25% of the assessment of the course and you will conduct this under the supervision of a member of academic staff.

Additional courses:
Applications of Field Theory
You will be introduced to some of the basic theory of field extensions, with special emphasis on applications in the context of finite fields.

Quantum Information Theory
‘Anybody who is not shocked by quantum theory has not understood it' (Niels Bohr). The aim of this unit is to provide you with a sufficient understanding of quantum theory in the spirit of the above quote. Many applications of the novel field of quantum information theory can be studied using undergraduate mathematics.

Network Algorithms
In this unit you will be introduced to the formal idea of an algorithm, when it is a good algorithm and techniques for constructing algorithms and checking that they work; explore connectivity and colourings of graphs, from an algorithmic perspective; and study how algebraic methods such as path algebras and cycle spaces may be used to solve network problems.

Advanced Financial Mathematics
In this unit you will investigate the validity of various linear and non-linear time series occurring in finance and extend the use of stochastic calculus to interest rate movements and credit rating;

Combinatorics
The aim of this unit is to introduce some standard techniques and concepts of combinatorics, including: methods of counting including the principle of inclusion and exclusion; generating functions; probabilistic methods; and permutations, Ramsey theory.

Computational Number Theory
You will be provided with an introduction to many major methods currently used for testing/proving primality and for the factorisation of composite integers. The course will develop the mathematical theory that underlies these methods, as well as describing the methods themselves.

Complexity Theory
Several classes of computational complexity are introduced. You will discuss how to recognise when different problems have different computational hardness, and be able to deduce cryptographic properties of related algorithms and protocols.

On completion of the course graduates will have:
- a suitable mathematical foundation for undertaking research or professional employment in cryptography and/or communications

- the appropriate background in information theory and coding theory enabling them to understand and be able to apply the theory of communication through noisy channels

- the appropriate background in algebra and number theory to develop an understanding of modern public key cryptosystems

- a critical awareness of problems in information transmission and data compression, and the mathematical techniques which are commonly used to solve these problems

- a critical awareness of problems in cryptography and the mathematical techniques which are commonly used to provide solutions to these problems

- a range of transferable skills including familiarity with a computer algebra package, experience with independent research and managing the writing of a dissertation.

Assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation. The examinations in May/June count for 75% of the final average and the dissertation, which has to be submitted in September, counts for the remaining 25%.

Employability & career opportunities

Our students have gone on to successful careers in a variety of industries, such as information security, IT consultancy, banking and finance, higher education and telecommunication. In recent years our graduates have entered into roles including Principal Information Security Consultant at Abbey National PLC; Senior Manager at Enterprise Risk Services, Deloitte & Touche; Global IT Security Director at Reuters; and Information Security manager at London Underground.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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This course covers a wide range of topics from both applied and applicable mathematics and is aimed at students who want to study the field in greater depth, in areas which are relevant to real life applications. Read more
This course covers a wide range of topics from both applied and applicable mathematics and is aimed at students who want to study the field in greater depth, in areas which are relevant to real life applications.

You will explore the mathematical techniques that are commonly used to solve problems in the real world, in particular in communication theory and in physics. As part of the course you will carry out an independent research investigation under the supervision of a member of staff. Popular dissertation topics chosen by students include projects in the areas of communication theory, mathematical physics, and financial mathematics.

The transferable skills gained on this course will open you up to a range of career options as well as provide a solid foundation for advanced research at PhD level.

See the website https://www.royalholloway.ac.uk/mathematics/coursefinder/mscmathematicsforapplications.aspx

Why choose this course?

- You will be provided with a solid mathematical foundation and knowledge and understanding of the subjects of cryptography and communications, preparing you for research or professional employment in this area.

- The Mathematics Department at Royal Holloway is well known for its expertise in information security and cryptography. The academics who teach on this course include several leading researchers in these areas.

- The mathematical foundations needed for applications in communication theory and cryptography are covered including Algebra, Combinatorics Complexity Theory/Algorithms and Number Theory.

- You will have the opportunity to carry out your dissertation project in a cutting-edge research area; our dissertation supervisors are experts in their fields who publish regularly in internationally competitive journals and there are several joint projects with industrial partners and Royal Holloway staff.

- After completing the course students have a good foundation for the next step of their career both inside and outside academia.

Department research and industry highlights

The members of the Mathematics Department cover a range of research areas. There are particularly strong groups in information security, number theory, quantum theory, group theory and combinatorics. The Information Security Group has particularly strong links to industry.

Course content and structure

You will study eight courses and complete a main project under the supervision of a member of staff.

Core courses:
Theory of Error-Correcting Codes
The aim of this unit is to provide you with an introduction to the theory of error-correcting codes employing the methods of elementary enumeration, linear algebra and finite fields.

Advanced Cipher Systems
Mathematical and security properties of both symmetric key cipher systems and public key cryptography are discussed, as well as methods for obtaining confidentiality and authentication.

Main project
The main project (dissertation) accounts for 25% of the assessment of the course and you will conduct this under the supervision of a member of academic staff.

Additional courses:
Applications of Field Theory
You will be introduced to some of the basic theory of field extensions, with special emphasis on applications in the context of finite fields.

Quantum Information Theory
‘Anybody who is not shocked by quantum theory has not understood it' (Niels Bohr). The aim of this unit is to provide you with a sufficient understanding of quantum theory in the spirit of the above quote. Many applications of the novel field of quantum information theory can be studied using undergraduate mathematics.

Network Algorithms
In this unit you will be introduced to the formal idea of an algorithm, when it is a good algorithm and techniques for constructing algorithms and checking that they work; explore connectivity and colourings of graphs, from an algorithmic perspective; and study how algebraic methods such as path algebras and cycle spaces may be used to solve network problems.

Advanced Financial Mathematics
In this unit you will investigate the validity of various linear and non-linear time series occurring in finance and extend the use of stochastic calculus to interest rate movements and credit rating;

Combinatorics
The aim of this unit is to introduce some standard techniques and concepts of combinatorics, including: methods of counting including the principle of inclusion and exclusion; generating functions; probabilistic methods; and permutations, Ramsey theory.

Computational Number Theory
You will be provided with an introduction to many major methods currently used for testing/proving primality and for the factorisation of composite integers. The course will develop the mathematical theory that underlies these methods, as well as describing the methods themselves.

Complexity Theory
Several classes of computational complexity are introduced. You will discuss how to recognise when different problems have different computational hardness, and be able to deduce cryptographic properties of related algorithms and protocols.

On completion of the course graduates will have:
- knowledge and understanding of: the principles of communication through noisy channels using coding theory; the principles of cryptography as a tool for securing data; and the role and limitations of mathematics in the solution of problems arising in the real world

- a high level of ability in subject-specific skills, such as algebra and number theory

- developed the capacity to synthesise information from a number of sources with critical awareness

- critically analysed the strengths and weaknesses of solutions to problems in applications of mathematics

- the ability to clearly formulate problems and express technical content and conclusions in written form

- personal skills of time management, self-motivation, flexibility and adaptability.

Assessment

Assessment is carried out by a variety of methods including coursework, examinations and a dissertation. The examinations in May/June count for 75% of the final average and the dissertation, which has to be submitted in September, counts for the remaining 25%.

Employability & career opportunities

Our students have gone on to successful careers in a variety of industries, such as information security, IT consultancy, banking and finance, higher education and telecommunication. In recent years our graduates have entered into roles including Principal Information Security Consultant at Abbey National PLC; Senior Manager at Enterprise Risk Services, Deloitte & Touche; Global IT Security Director at Reuters; and Information Security Manager at London Underground.

How to apply

Applications for entry to all our full-time postgraduate degrees can be made online https://www.royalholloway.ac.uk/studyhere/postgraduate/applying/howtoapply.aspx .

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Our Advanced Computing MSc programme will provide you with systematic knowledge and experience of the theoretical foundations and practice of computing at an advanced level. Read more

Our Advanced Computing MSc programme will provide you with systematic knowledge and experience of the theoretical foundations and practice of computing at an advanced level. Built around modules such as Algorithm Design and Analysis, Data Structures and their Implementation in C++, and Parallel and Distributed Algorithms, and offering a broad range of optional modules, the course will enhance your abilities to solve advanced computational problems and implement algorithms.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS), and the Institution of Engineering and Technology (IET).
  • You will learn advanced practical techniques and implementation skills for solving complex computational problems.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

Rooted in the renowned research strengths of the Department of Informatics, this programme introduces core topics such as systems programming and algorithms before allowing you to specialise through your choice of modules. The course comprises of optional and required modules, and you will complete the course in one year, studying September to September. You must take modules totalling 180 credits to meet the requirements of the qualification, 60 of which will come from an individual project of around 15,000 words.

Course purpose

For graduates in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will enhance your ability to solve advanced computational problems and impart skills necessary for algorithm implementation. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project and dissertation will be assessed on one 15,000-word extended piece of writing. 

Career prospects

Our graduates have continued into very successful careers in general software consultancy companies, in specialised software development companies and IT departments of large institutions (financial, telecommunications and public sector). Their jobs involve specialist programming and problem-solving as well more conventional software development, maintenance and project management roles. Some of our graduates have chosen to persue academic and industrial research in software engineering, bio-informatics, algorithms and computer networks.



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The Advanced Computing with Management MSc programme is an innovative computer science course, combining high-level programming with an introduction to core management theories and skills in an IT context, making this an ideal study pathway for engineers who already possess a good foundation in programming. Read more

The Advanced Computing with Management MSc programme is an innovative computer science course, combining high-level programming with an introduction to core management theories and skills in an IT context, making this an ideal study pathway for engineers who already possess a good foundation in programming. This course aims to improve your abilities to solve advanced computational problems by gaining knowledge of data structures, design quantitative analysis of algorithms, their applications and implementation.

Key benefits

  • Located in central London, giving access to major libraries and leading scientific societies, including the Chartered Institute for IT (BCS) , and the Institution of Engineering and Technology (IET).
  • You will learn advanced practical techniques and implementation skills for solving complex computational problems.
  • You will develop critical awareness and appreciation of the changing role of computing in society and motivating you to pursue further professional development and research.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in advanced computing and related fields.
  • The Department of Informatics has a reputation for delivering research-led teaching and project supervision from leading experts in their field.

Description

The Advanced Computing with Management MSc is an innovative course designed to provide you with an in-depth understanding of management roles within the IT industry. The programme will also equip you with essential research, analytical and critical thinking skills.

The course is made up of optional and required modules, completed in one year studying from September to September. You will take modules totalling 180 credits to meet the requirements of the qualification, of which 60 will come from an individual project of around 15000 words.

You will study a range of required modules such as Principles of Management, Algorithm Design and Analysis, and Data Structures and their Implementation in C++ and you will choose further related modules to support your study interests.

Course purpose

For graduates in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will enhance your ability to solve advanced computational problems and impart skills necessary for algorithm implementation within the context of software development and with core management theories. Research for your individual project will provide valuable preparation for a career in research or industry.

Course format and assessment

Teaching

We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.

Assessment

The primary method of assessment for this course is a combination of written examinations, essays, coursework and individual or group projects and oral presentations. The research project will be assessed on one 15,000-word dissertation.  

Career prospects

Our graduates have continued on to have very successful careers in general software consultancy companies, in specialised software development companies and IT departments of large institutions (financial, telecommunications and public sector). Their jobs involve specialist programming and problem-solving as well more conventional software development, maintenance and project management roles.

While some of our graduates have chosen to go on into academic and industrial research in software engineering, bio-informatics, algorithms and computer networks.



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Modern information systems continue to transform and progress the ease with which information can be accessed across the globe and to underpin the digital society and economy. Read more
Modern information systems continue to transform and progress the ease with which information can be accessed across the globe and to underpin the digital society and economy.

They depend fundamentally on digital systems of communication, and this programme provides thorough coverage of the speciality to meet the high and increasing demand for digital communications engineers who can manage and develop the technologies of today’s data-driven lifestyle.

This programme is aimed at recent engineering, physics and computer science graduates and/or those with a number of years industry experience in the communications industry, who wish to acquire in-depth knowledge of this key specialism in order to progress their careers.

Core study areas include fundamentals of digital signal processing and information theory and coding, and a research project.

Optional study areas include communication networks, personal radio communications, communication channels, digital signal processing for software defined radio, multimedia over networks, mobile network technologies and intelligent signal processing.

See the website http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/digital-communication-systems/

Programme modules

Compulsory Modules:
Semester 1
- Fundamentals of Digital Signal Processing
- Information Theory and Coding

Semester 2
- Research project
- Advanced individual project

Optional Modules:
Semester 1
- Communication Networks
- Personal Radio Communications
- Communication Channels

Semester 2
- Digital Signal Processing for Software Defined Radio
- Communication Network Security and e-Commerce
- Mobile Network Technologies
- Intelligent Signal Processing

How you will learn

The course is designed to give both deep understanding of the core technologies which underpin the industry and which are driving the latest advances in performance and capability. It allows you to develop your personal interests via a range of specialised optional modules. The individual research project is often undertaken as part of the School’s internationally respected research portfolio.

- Assessment
Examinations are held in January and May, with coursework and group work throughout the programme. The individual research project is assessed by written report and viva voce in September.

Facilities

Students on the programme have access to laboratories, industry standard software and hardware including equipment provided by Texas Instruments. There is a range of anechoic chambers including the largest microwave chamber at any UK university.

Careers and further study

Job opportunities include both senior technical and managerial activities in the fields of communications engineering including high speed digital design, communication systems engineering, software/firmware engineering, algorithm development and signal processing engineering.

Why choose electronic, electrical and systems engineering at Loughborough?

We develop and nurture the world’s top engineering talent to meet the challenges of an increasingly complex world. All of our Masters programmes are accredited by one or more of the following professional bodies: the IET, IMechE, InstMC, Royal Aeronautical Society and the Energy Institute.

We carefully integrate our research and education programmes in order to support the technical and commercial needs of society and to extend the boundaries of current knowledge.

Consequently, our graduates are highly sought after by industry and commerce worldwide, and our programmes are consistently ranked as excellent in student surveys, including the National Student Survey, and independent assessments.

- Facilities
Our facilities are flexible and serve to enable our research and teaching as well as modest preproduction testing for industry.
Our extensive laboratories allow you the opportunity to gain crucial practical skills and experience in some of the latest electrical and electronic experimental facilities and using industry standard software.

- Research
We are passionate about our research and continually strive to strengthen and stimulate our portfolio. We have traditionally built our expertise around the themes of communications, energy and systems, critical areas where technology and engineering impact on modern life.

- Career prospects
90% of our graduates were in employment and/or further study six months after graduating. They go on to work with companies such as Accenture, BAE Systems, E.ON, ESB International, Hewlett Packard, Mitsubishi, Renewable Energy Systems Ltd, Rolls Royce and Siemens AG.

Find out how to apply here http://www.lboro.ac.uk/study/postgraduate/programmes/departments/eese/digital-communication-systems/

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Ranked 2nd in the UK by Research Fortnight, our geomatics research is ground breaking. We publish in leading international journals, at conferences, in the media and through educational outreach programmes. Read more
Ranked 2nd in the UK by Research Fortnight, our geomatics research is ground breaking. We publish in leading international journals, at conferences, in the media and through educational outreach programmes. Whether focusing on geodesy or geospatial engineering, you will work with experts to produce research of an international standard.

The School of Civil Engineering and Geosciences enjoys an international reputation for using the latest science to solve problems of global importance. Our research has significant relevance in non-academic settings and we regularly apply it through consultancy to industry, from the global offshore industry to local authorities and survey and engineering companies. We are a key part of the TSB Satellite Applications Catapult North East Centre of Excellence.

For geomatics we have MPhil and PhD supervision in the following areas:

Satellite geodesy

-GPS and geophysical modelling
-GPS/GNSS geodesy
-Precise orbit determination of altimetric and geodetic satellites
-Sea level
-Ice sheet mass balance
-Satellite altimetry
-Static and temporal gravity field and reference frame analyses from dedicated satellite missions
-SAR interferometry
-Geophysical and industrial deformation monitoring
-Geodynamics and geohazards
-Integration of GPS and INS
-Engineering geodesy

Geospatial Engineering

-Geoinformatics and advanced GIS
-Geospatial algorithm development
-Spatial modelling including network modelling, cellular automata and agent based approaches to spatial complexity
-Multimedia cartography and information delivery
-Temporal GIS
-Geospatial data management
-Airborne and satellite remote sensing applied to environmental impact assessment
-Land use, vegetation and pollution monitoring
-Earth observation of urban systems
-Photogrammetry
-Laser scanning
-Precise non-contact dimensional control

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The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. Read more
The accredited Master of Science program in Computer Science is a two-year program that has been designed for international and German graduate students. The curriculum is very flexible. Students can compile their individual study plans based on their background and interests. It is also a very practical program. In addition to lectures and tutorials, students will complete two seminars, one or two projects and the master thesis.

In the beginning students will choose one or two key courses. Key courses are courses which introduce the students to the research areas represented at the Department of Computer Science. The following key courses are offered:

• Algorithm Theory
• Pattern Recognition
• Databases and Information Systems
• Software Engineering
• Artificial Intelligence
• Computer Architecture

After that, students can specialize in one of the following three areas:

• Cyber-Physical Systems
• Information Systems
• Cognitive Technical Systems

Here are some examples of subjects offered in the three specialization areas:

Cyber-Physical Systems:

• Cyber-Physical Systems – Discrete Models
• Cyber-Physical Systems – Hybrid Control
• Real Time Operation Systems and Reliability
• Verification of Embedded Systems
• Test and Reliability
• Decision Procedures
• Software Design, Modeling and Analysis in UML
• Formal Methods for Java
• Concurrency: Theory and Practice
• Compiler Construction
• Distributed Systems
• Constraint Satisfaction Problems
• Modal Logic
• Peer-to-Peer Networks
• Program Analysis
• Model Driven Engineering

Information Systems:

• Information Retrieval Data Models and Query Languages
• Peer-to-Peer Networks
• Distributed Storage
• Software Design, Modeling and Analysis in UML
• Security in Large-Scale Distributed Enterprises
• Machine Learning
• Efficient Route Planning
• Bioinformatics I
• Bioinformatics II
• Game Theory
• Knowledge Representation
• Distributed Systems

Cognitive Technical Systems:

• Computer Vision I
• Computer Vision II
• Statistical Pattern Recognition
• Mobile Robotics II
• Simulation in Computer Graphics
• Advanced Computer Graphics
• AI Planning
• Game Theory
• Knowledge Representation
• Constraint Satisfaction Problems
• Modal Logic
• Reinforcement Learning
• Machine Learning
• Mobile Robotics I

We believe that it is important for computer science students to get a basic knowledge in a field in which they might work after graduation. Therefore, our students have the opportunity to complete several courses and/or a project in one of the following application areas:

• Bioinformatics
• Educational Sciences
• Geosciences
• Cognitive Sciences
• Mathematics
• Medicine
• Meteorology
• Microsystems Engineering
• Physics
• Political Sciences
• Psychology
• Sociology
• Economics

In the last semester, students work on their master’s thesis. They are expected to tackle an actual research question in close cooperation with a professor and his/her staff.

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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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MSc. This MSc provides advanced training in Electronics, Communications and Computer Engineering. Read more
MSc:

This MSc provides advanced training in Electronics, Communications and Computer Engineering. It will give students a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The course provides an excellent basis for engineers wishing to update their knowledge, students who wish to go on to do research, or for first degree students wishing to enhance their training.

Students will develop:
the design, analytical and critical powers in relation to hardware and software aspects of complex electronic systems
the ability to plan and undertake an individual project
interpersonal, communication and professional skills
the ability to communicate ideas effectively in written reports
decision making powers in relation to the specification and solution of embedded system design, system-on-chip (SoC) and electronic engineering problems for appropriate
electronic systems and computer systems

Following the successful completion of the taught modules, an individual research project is undertaken during the summer term.

Previous research projects on this course have included:
FPGA implementation of the optimized SIFT Algorithm for an image matcher
Zigbee-Based generic wireless data acquisition systems
Digital pulse position modulation for free space optical communication

Please see the school web pages for further details of the PG Dip course.

Scholarship information can be found at http://www.nottingham.ac.uk/graduateschool/funding/index.aspx

PGDip:

This Postgraduate Diploma provides advanced training in electronics, communications and computer engineering.

The course aims to provide you with a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The programme provides an excellent basis for engineers wishing to update their knowledge, or for first degree students wishing to enhance their training.

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This Master degree program is a joint initiative of University of Pisa - Department of Computer Science and Department of Information Engineering, and Sant´Anna School of Advanced Studies - Institute of Communication, Information and Perception Technologies. Read more
This Master degree program is a joint initiative of University of Pisa - Department of Computer Science and Department of Information Engineering, and Sant´Anna School of Advanced Studies - Institute of Communication, Information and Perception Technologies.

Objectives

The two-year Master Program in Computer Science and Networking has been designed to meet the growing demand for an emerging kind of professionals with expertise in both the information and the networking technologies.
This expertise is needed in the design and implementation of both innovative software-hardware distributed infrastructures and service-based distributed applications in several areas of industry, e-business, research, social and citizen services, public administration

Courses and laboratories

The two-year Master degree programme in Computer Science and Networking has a total number of credits (CFU) of 120, where a credit corresponds to 8 hours of lectures/laboratory and 17 hours of personal working activity. The program is organized in around 12 teaching courses (6 or 9 or 12 credits per teaching course), of which 9 major and 3 minor teaching courses, plus the Master Thesis (15 credits).

Major Courses

Algorithm Engineering, Advanced Programming, Distributed Systems Paradigms and Models, Fundamentals of Signals, Systems and Networks, High Performance Computing, Network Configuration and Management, Software Service Engineering, Teletraffic Engineering,

MInor Courses

- software technologies for platforms, systems, models, frameworks, tools, security, and applications in distributed contexts,
- communication technologies for optical and photonic infrastructures, and for network architectures, models, protocols and services,
- applied mathematics for architectures and applications modeling.

The organization of teaching courses and laboratories will allow each student to achieve the most suitable and effective working environment. In order to achieve the described goals for high qualification and working environment, the maximum number of admitted students per year is 42.

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This course provides you with comprehensive training in the essential elements of information engineering and communications. Module options are topical and relevant, encompassing the design of application-specific integrated circuits, micro-electromechanical systems and optical engineering. Read more
This course provides you with comprehensive training in the essential elements of information engineering and communications. Module options are topical and relevant, encompassing the design of application-specific integrated circuits, micro-electromechanical systems and optical engineering.

You’ll also have the opportunity to tap into the world of Computer Science and explore ‘big data’, covering themes such as digital multimedia storage and communications technologies, data analytics and data mining in terms of algorithms, and goals in real-world problems. You’ll also pick up transferable skills for any future study or career, such as project planning and management, ethics, health and safety, report writing, library skills and career management.

Our recent graduates now occupy positions in industries ranging from core network provision through to logistics and software support, in addition to opportunities in data communication equipment and services.

Course description

The MSc degree (totalling 180 credits) comprises eight taught modules (15 credits each), five core modules and three optional modules (see below), along with a research project worth 60 credits (see below).

Core modules

-Advanced Wireless Systems and Networks
-Information Theory and Coding
-Antenna, Propagation and Wireless Communications Theory
-Optical Communication Systems
-Signal & Image Processing

Optional modules

ASICs, MEMS and Smart Devices
Optical Engineering
Data Mining (from Computer Science)
Foundations of Data Analytics (from Computer Science)
Multimedia Processing, Communications and Storage (from Computer Science)

Individual research project

The individual research project is an in-depth experimental, theoretical or computational investigation of a topic chosen by you in conjunction with your academic supervisor. Typical project titles include:
-Network coding for underwater communications.
-Nanoscale communication networks.
-Forward Error Correction for Spectrally Sliced Transmission.
-Routing Algorithm Design for Mobile Ad Hoc Networks.
-Logical Stochastic Resonance.
-Design of Radio Devices using Metamaterials.
-Nonlinear Effects in Optical Fibre Transmission.

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With the launch of 4G wireless networks (LTE), industry vendors are competing to recruit graduates with unique combination of skills and knowledge in both wireless and broadband networking fields. Read more
With the launch of 4G wireless networks (LTE), industry vendors are competing to recruit graduates with unique combination of skills and knowledge in both wireless and broadband networking fields. This course offers an integrated approach to transmission technologies, signal processing techniques, broadband network design, wireless networking techniques and modelling simulation skills.

The unique features of this course are the integration of latest wireless communications and broadband networking engineering which are at the forefront of modern telecommunication systems in the industry today.

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

As a student here you'll benefit from well-equipped telecommunications lab and Cisco equipment.

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

Modules

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

- Computer network design
This module provides a broad understanding of the principles of computer networks and approaches of network design. It starts from standard layered protocol architecture and each layer of the TCP/IP model. Then it will focus on a top-down approach for designing computer networks for an enterprise.

- Wireless communication and satellite systems
This module provides understanding of main aspects of wireless communication technologies, various radio channel models, wireless communication networks and satellite communication systems. Particular emphasis will be given to current wireless technologies and architectures, design approaches and applications.

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

- Optical and microwave communications
This module provides a comprehensive approach to teach the system aspects of optical and microwave communications, with the emphasis on applications to Fibre-to-the Home (FTTH)/Fibre-to-the Business (FTTB) or Fibre-to-the Curb (FTTC), radio over fibre (RoF), optical-wireless integration, high-capacity photonic switching networks, wired and wireless broadband access systems, and high-speed solutions to last-mile access, respectively.

- Smart receivers and transmission techniques
This module provides a further in-depth study of some advanced transmission and receiver processing techniques in wireless communication systems. The module focuses on various current topics such as evolution and challenges in wireless and mobile technologies, smart transceivers, processing, coding and possible future evolutions in mobile communication systems. This module also aims to provide you with in-depth understanding and detailed learning objectives related the current mobile wireless industry trends and standards for key design considerations in related wireless products.

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

Employability

Engineers who keep abreast of new technologies in telecommunications, wireless and broadband networking are increasingly in demand.

There are diverse employment opportunities in this expanding field. Graduates could work for an equipment manufacturer, network infrastructure provider or a service provider, carrying out research, or working on the design and development projects, or production of data networks, broadband networking, optical fibre and microwave communications, wireless and mobile communications, cellular mobile networks or satellite systems. You could also pursue PhD studies after completing the course.

LSBU Employability Services

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

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

Professional links

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

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The field of computer science has produced some of the most significant advances in modern technology over the last three decades and radically transformed business and industry practices on a global scale. Read more
The field of computer science has produced some of the most significant advances in modern technology over the last three decades and radically transformed business and industry practices on a global scale. There is a profound need for postgraduate-level practitioners in this discipline.

Why Study Advanced Computer Science with us?

Taught at our Thornton Science Park near Chester, this course focuses on the Department of Computer Science’s strengths, providing a cutting-edge curriculum in medical graphics, data visualisation, cybersecurity, discrete optimisation and image processing, in addition to core computer science topics such as algorithm design.

There is also a monthly seminar programme in which leading experts present recent findings and introduce contemporary developments in the above and other areas.

The Department’s commitment to part-time, evening delivery (as an additional alternative to full-time delivery) is particularly attractive to those in employment wishing to gain a postgraduate qualification. This provision is rare among competing institutions and one that has been successfully delivered at Chester for many years.

What will I learn?

The course has a core theme addressing advanced issues in software and algorithmic development, which will equip you to deal with complex problems using a wide range of contemporary techniques. Additionally, the development of a rigorous approach to research and original enquiry will be fostered in our Research Methods and Research Dissertation modules.

Optional modules cover a range of applied topics where the Department has expertise, including data visualisation, virtual reality, computer vision and cybersecurity.

How will I be taught?

The course will be delivered at our modern facilities at Thornton Science Park, which include a VR laboratory, high performance computing facility and cybersecurity laboratories.

You will be taught using a mixture of lectures, workshops, seminars and case studies.
There are 7½ contact hours per week, and you will be expected to undertake 30 hours of private study per week.

How will I be assessed?

Assessment takes place using roughly 30% exams and 70% coursework, although the precise ratio depends on module choices.

Postgraduate Visit Opportunities

If you are interested in this courses we have a number of opportunities to visit us and our campuses. To find out more about these options and to book a visit, please go to: https://www1.chester.ac.uk/study/postgraduate/postgraduate-visit-opportunities

Request a Prospectus

If you would like to know more about the University please request a prospectus at: http://prospectus.chester.ac.uk/form.php

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INFORMATION-DRIVEN IN A DIVERSE SOCIETY . Software systems enable us to do things that would otherwise be difficult, time-consuming, or even impossible. Read more

INFORMATION-DRIVEN IN A DIVERSE SOCIETY 

Software systems enable us to do things that would otherwise be difficult, time-consuming, or even impossible. In the Master’s programme Computing Science, you will learn the advanced concepts, software design methods, problem-solving techniques, and analytic skills necessary to create information-driven systems and applications for our diverse society.

Within the programme, you can select one of four tracks:

  • Programming Technology
  • Algorithm Design and Analysis
  • Advanced Planning and Decision Making
  • Algorithmic Data Analysis

The programme is research oriented. You will explore theories and techniques in computing science and software design as well as participate in the research done to advance the field.

PROGRAMME OBJECTIVE 

To successfully design software, you first need to describe and analyse the relevant domain and its properties using language, modeling, or data. You then need to develop suitable software technologies and algorithms to derive the outcomes you want to achieve. Finally, you need an easy and efficient way to implement these components and turn them into an actual application.

You will learn to analyse and develop the concepts, design methods, and techniques underlying all of these steps. 



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