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Masters Degrees (Functional Programming)

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The Computer Science MSc provides a balance between computer science theory and practical software engineering skills, including teamwork for industrial or research clients. Read more

The Computer Science MSc provides a balance between computer science theory and practical software engineering skills, including teamwork for industrial or research clients. Graduates find employment in the IT industry, or complement their first degree subject with computer science knowledge, leading to interdisciplinary industrial positions and PhD research.

About this degree

You will learn fundamental aspects of how computers work by taking modules in computer architecture, operating systems, compilers, data structures and algorithms. You will also gain practical knowledge in areas such as human-computer interaction, App design, databases and software engineering. You will develop programming skills in modern languages, such as object-oriented Java for Android development. 

Team working, project planning and communication skills are developed by working in small groups developing software for real industrial and research clients. Optional modules allow specialisation in subjects such as functional programming, computer music, entrepreneurship and artificial intelligence.

Students undertake modules to the value of 180 credits.

The programme consists of five core modules (75 credits), three optional modules (45 credits) and a research project (60 credits).

Core modules

  • Algorithmics (15 credits)
  • Architecture and Hardware (15 credits)
  • Design (15 credits)
  • Programming (15 credits)
  • Systems Infrastructure (15 credits)

Optional modules

Students must choose a minimum of 15 and a maximum of 45 credits from Group One options. For the remaining credits, students can choose up to 30 credits from Group Two options and up to 15 credits from Electives.

Group One Options (15 to 45 credits)

  • Database Systems (15 credits)
  • Entrepreneurship: Theory and Practice (15 credits)
  • Functional Programming (15 credits)
  • Interaction Design (15 credits)
  • Software Engineering (15 credits)

Group Two Options (up to 30 credits)

  • Affective Interaction (15 credits)
  • Artificial Intelligence and Neural Computing (15 credits)
  • Project Management (15 credits)

Please note: the availability and delivery of optional modules may vary, depending on your selection.

A list of acceptable elective modules is available on the Departmental page.

Dissertation/report

All students undertake an independent computer-based science project which culminates in a dissertation in the form of a project report.

Teaching and learning

The programme is delivered through a combination of lectures and tutorials. Lectures are often supported by laboratory work with help from demonstrators. Student performance is assessed by unseen written examinations, coursework and a substantial individual project.

Further information on modules and degree structure is available on the department website: Computer Science MSc

Careers

Graduates from UCL are keenly sought after by the world's leading organisations, and many progress in their careers to secure senior and influential positions. UCL Computer Science graduates are particularly valued as a result of the department's strong international reputation, strong links with industry, and ideal location close to the City of London. Our graduates secure careers in a wide variety of organisations; for example with global IT consultancies, as IT analysts with City banks, or as IT specialists within manufacturing industries.

Recent career destinations for this degree

  • Analyst and IT Consultant, KPMG
  • Associate Quantity Developer, Moody's
  • Clinical Systems Manager, Whittington Hospital (NHS)
  • Cyber Security Analyst / Developer, BAE Systems
  • PhD in System Engineering, City University of Hong Kong

Employability

This degree opens up many different career paths. Recent graduates have been employed by some of the world's leading IT companies such as Accenture, Barclays Capital and Credit Suisse. The entrepreneurial spirit is ignited in other students and they may either start their own companies or join dynamic start-ups. Other graduates have gone on to PhD study to conduct cutting-edge research in areas that interest them.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

Why study this degree at UCL?

UCL Computer Science is recognised as a world leader in teaching and research.

UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).

Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries from entertainment to finance.

We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Computer Science

96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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The impact of Information Systems on everyday life continually expands at a monumental rate. Computing is increasingly embedded in everything we use from; transport, financial and telecommunications systems to everyday personal items such as toothbrushes and running shoes. Read more
The impact of Information Systems on everyday life continually expands at a monumental rate. Computing is increasingly embedded in everything we use from; transport, financial and telecommunications systems to everyday personal items such as toothbrushes and running shoes. The pervasive nature of computing coupled with the ever increasing demand for improved products and services drives the discovery of innovative solutions through the use of information systems. This has led to a critical dependence emerging between computing and practically all industries.

Graduates and engineers who are able to fully exploit the potential that computing and information systems offer within a range industries including, Retail, Manufacturing, Health, and Communications; are highly sought after. If you are looking to further your employment options in your current industry, but have little or no technical experience, then this programme is for you.

* This programme is suited to students from a non-IT background or with little prior technical experience who want to further enhance or or change career focus, to widen employment opportunities in a vast selection of computing related industries and sectors.
* Designed for non-IT professionals who want to develop a firm technical foundation in the latest industry relevant programming languages and software development techniqus (agile, which can open up more technical and senior level positions in their current industry.
* Guided by academics with an extensive spectrum of industrial experience, the programme introduces you to the core aspects of computing and allows you to choose from a variety of optional specialist modules, such as Mobile Devices and Social Networks, Business Technology Strategy and Graphical User Interface design, developing both your practical and theoretical skills.
* The core modules introduce aspects of computing, including a double module in object-oriented programming (using Java) and a double module in information systems.
* These core modules are supplemented by optional specialist modules covering a broad range of subjects relevant to the software industry, such as Network Planning, Finance and Management, Entrepreneurship in Information Technology and Decision and Risk.
* Your project work will typically involve the design and implementation of a significant piece of software within your chosen specialism. Projects undertaken for external organisations focusing on an industrial or commercial application encouraged.
* You will learn about and develop extensive technical knowledge of the latest developments in new languages and tools for web systems (XML, Advanced databases, Semantic web).
* This intensive one year programme is aimed at students without a background in Computer Science � it is a conversion course for those who want a career in computing.

Why study with us?

Queen Mary has a prestigious history in computing and electronic engineering, we had one of the first Computer Science Departments in the country, and The School of Electronic Engineering and Computer Science is rated in the top 20 universities in the UK for studying computer science and electronic engineering.

The best things I have found about the course have been the breadth of content available and the quality of teaching.
Anuruddha Jaithirtha

* This programme is available part-time
* It permits students to follow a technical or business focus
* There is a wide range of employment-relevant module choices
* Early coverage of Networks in core modules
* There are lectures and laboratories specific to students on this programme, a number of modules have invited talks from commercial and other organisations
* Up-to-date modules in real-time and critical systems, functional programming and security, intelligent and multi-agent systems (such as Siri), and web-based document databases

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The Masters in Computing Science provides you with a thorough grounding in advanced computing science, together with experience of conducting a development project, preparing you for responsible positions in the IT industry. Read more

The Masters in Computing Science provides you with a thorough grounding in advanced computing science, together with experience of conducting a development project, preparing you for responsible positions in the IT industry.

Why this programme

The Masters in Computing Science provides you with a thorough grounding in advanced computing science, together with experience of conducting a development project, preparing you for responsible positions in the IT industry.

Programme structure

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

Core courses

  • Research methods and techniques
  • Masters team project

Optional courses

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

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

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

Career Prospects

Career opportunities include responsible positions, not only in the IT sector but also in many other sectors such as education, engineering, health services, financial services, government, manufacturing, retail, and transport. You will also be well qualified to proceed to study for a PhD in computing science.

Graduates of this programme have gone on to positions such as:

Software Engineering at Kana Software 

IT-Trainee at Allianz Deutschland 

Research Assistant at a university

Lab Demonstrator at a university.



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The Masters in Information Security provides you with a thorough grounding in professional software development, together with experience of conducting a development project, preparing you for responsible positions in the IT industry. Read more

The Masters in Information Security provides you with a thorough grounding in professional software development, together with experience of conducting a development project, preparing you for responsible positions in the IT industry.

Why this programme

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

Programme structure

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

Core courses

  • Crytography and secure development
  • Cyber security fundamentals
  • Cyber security forensics
  • Enterprise cyber security
  • Human-centred security
  • Research methods and techniques
  • Safety critical systems
  • Masters team project

Optional courses

  • Advanced networking and communications
  • Advanced operating systems
  • Algorithmics
  • Artificial intelligence
  • Big data: systems, programming and management
  • Computer architecture
  • Computer vision methods and applications
  • Distributed algorithms and systems
  • Enterprise computing
  • Functional programming
  • Human computer interaction
  • Human computer interaction: design and evaluation
  • Information retrieval
  • Internet technology
  • IT architecture
  • Machine learning
  • Mobile human computer interaction
  • Modelling reactive systems
  • Software project management
  • Theory of computation
  • Web science

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

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

Career Prospects

You will be well qualified for responsible software development positions, not only in the IT sector but also in many other sectors such as education, engineering, health services, financial services, government, manufacturing, retail, and transport. Expertise in information security is particularly prized by employers. You will also be well qualified to proceed to a PhD in computing science.

Graduates of this programme have gone on to positions such as:

Web Developer at Bazookas Studios.



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This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk. Read more
This MSc programme focuses on advanced theoretical and practical techniques in program design, and the management of software project risk. It includes training in vital areas such as security, specification, risk management, usability, and design integrity.

You will learn advanced techniques in program design (including software patterns and component technologies) and information handling (structured information, databases). You can study key issues of interactive system design, leading to the ability to identify issues and trade-offs in the design of human-computer interaction, and to invent and evaluate alternative solutions to design problems. You will gain knowledge in the mathematical foundations of software and the practical application of these techniques. You will develop skills to manage software project risks and learn about the development of tools to support decision-making.

The programme will enable you to become competitive in the most technically oriented branches of software engineering. Typical jobs after graduation include software risk analyst, system designer, software quality assurance, software engineer, programmer, usability consultant, systems analyst, and software architect.
Programme outline

Central modules can include:
Design for Human Interaction
Functional Programming
Program Specifications
Real Time & Critical Systems
Software Analysis and Verification
Software Risk Assessment
MSc Project

Further options can include:
Machine Learning
XML and Structured Documents
Advanced Program Design
Advanced Database Systems & Technology
Distributed Systems and Security
Mobile Services
Security and Authentication
Business Technology Strategy
Interactive Systems Design
The Semantic Web
High Performance Computing

Please note that module availability is subject to change.

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Developments in cloud computing technology are transforming the way we live and work. This programme will equip you with specialist knowledge in this fast-growing field and allow you to explore a range of advanced topics in computer science. Read more

Developments in cloud computing technology are transforming the way we live and work. This programme will equip you with specialist knowledge in this fast-growing field and allow you to explore a range of advanced topics in computer science.

You’ll gain a foundation in topics like systems programming and algorithms, as well as specialist modules in advanced distributed systems – especially cloud techniques, technologies and applications.

Building on your existing knowledge of computer science, you’ll also choose from optional modules in topics across computer science. You could look at emerging approaches to human interaction with computational systems, data mining and functional programming among others.

The programme will give you the theoretical and practical skills required to design and implement larger, more complex systems using state-of-the-art technologies. You’ll even have the chance to work as an integral member of one of our research groups when you develop your main project.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.



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Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. Read more
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. This means you will be learning current research results, keeping you at the forefront of these areas. You will also learn a range of theories, principles and practical methods.

The MSc in Advanced Computer Science is a full time, one year taught course, intended for students who already have a good first degree in Computer Science, and would like to develop a level of understanding and technical skill at the leading edge of Computer Science.

You can choose modules on a range of topics, including Cryptography, Functional Programming, Interactive Technologies, Natural Language Processing, Quantum Computation and Model-Driven Engineering.

Course aims
You will gain an in-depth knowledge of topics on the frontiers of Computer Science in order to engage in research or development and application of leading-edge research findings.

By undertaking an individual project, you will become a specialist in your selected area. You will be encouraged to produce research results of your own. This will prepare you to undertake a PhD in Computer Science should you wish to continue studying within the subject.

Learning outcomes
-A knowledge of several difference topics in Computer Science at an advanced level.
-An understanding of a body of research literature in Computer Science in your chosen topic, and the underlying principles and techniques of research in this area.
-An ability to engage in independent study at an advanced level, and develop skills in self-motivation and organisation.

Research Project

You will undertake your individual research project over the Summer term and Summer vacation. This will be a culmination of the taught modules you have taken during the course, which will allow you to focus on a specialist area of interest.

You will be allocated a personal supervisor, who will be an expert in your chosen area of research. You will be hosted by the research group of your supervisor, and you will benefit from the knowledge and resources of the whole group. Being attached to a research group also allows you to take part in their informal research seminars, and receive feedback and help from other members of the group.

You can choose from projects suggested by members of our academic staff. You also have the option of formulating your own project proposal, with the assistance from your personal supervisor.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

The project aims to give you an introduction to independent research, as well as giving you the context of a research group working on topics that will be allied to your own. You will develop the skills and understanding in the methods and techniques of research in Computer Science.

As part of the assessment of the project, as well as your dissertation, you will give a talk about your work and submit a concise paper which we will encourage you to publish.

Information for Students

The MSc in Advanced Computer Science exposes you to several topics in Computer Science that are under active research at York. The material taught is preparatory to helping to continue that research, and perhaps continuing to a PhD. What we require from you are enthusiasm, hard work and enough background knowledge to take your chosen modules.

The modules on the MSc in Advanced Computer Science are mostly shared with our Stage 4 (Masters level) undergraduates. Your technical background will be different, and we acknowledge this.

During August we will send entrants a document describing the background knowledge needed for each module and, in many cases, references to where this knowledge is available (for example, widely available text books and web pages).

More generally, many of the modules expect a high level of mathematical sophistication. While the kind of mathematics used varies from module to module, you will find it useful to revise discrete mathematics (predicate and propositional calculi, set theory, relational and functional calculi, and some knowledge of formal logic), statistics and formal language theory. You should also be able to follow and produce proofs.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

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Computing and communications technologies are having a truly disruptive effect on societies and business worldwide. Mobile payments, wireless communications and the ‘Internet of Things’ are transforming the way we approach key challenges in development, security, healthcare and the environment. Read more

Computing and communications technologies are having a truly disruptive effect on societies and business worldwide. Mobile payments, wireless communications and the ‘Internet of Things’ are transforming the way we approach key challenges in development, security, healthcare and the environment.

Taught jointly by the School of Computing and the School of Electronic and Electrical Engineering, this course will give you a grasp of all layers needed for mobile communication and computation, from the physical network layer through to the applications that run on mobile devices.

You’ll gain a full understanding of the web and cloud computing infrastructure, as core modules give you a foundation in key topics like systems programming and data communications. A range of optional modules will then allow you to focus on topics that suit your interests and career plans, from cloud computing to embedded systems design and high speed web architecture.

Specialist facilities

You’ll benefit from world-class facilities to support your learning. State-of-the-art visualisation labs including a powerwall, a benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker are all among the specialist facilities we have within the School of Computing.

We also have Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices, Twin Immersion Corp CyberGloves, a cloud computing testbed, rendering cluster and labs containing both Microsoft and Linux platforms among others. It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.

Course content

You’ll take two core modules in Semester 1 that introduce you to fundamental topics like systems programming and network security. With this foundation, you’ll be able to gain high-level specialist knowledge through your choice of optional modules taught by the School of Computing and the School of Electronic and Electrical Engineering.

The optional modules you choose will enable you to direct your studies towards topics that suit your personal interests and career ambitions such as mobile app development, digital media engineering, big data, cloud computing and embedded systems design, among others.

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.

Course structure

Compulsory modules

  • MSc Project 60 credits
  • Data Communications and Network Security 15 credits

Optional modules

  • Distributed Systems 10 credits
  • Mobile Application Development 10 credits
  • Combinatorial Optimisation 10 credits
  • Secure Computing 10 credits
  • Graph Algorithms and Complexity Theory 10 credits
  • Functional Programming 10 credits
  • Big Data Systems 15 credits
  • Mobile Applications Development 15 credits
  • Algorithms 15 credits
  • Parallel and Concurrent Programming 15 credits
  • Cloud Computing 15 credits
  • Graph Theory: Structure and Algorithms 15 credits
  • Communication Network Design 15 credits
  • Optical Communications Networks 15 credits
  • High Speed Internet Architecture 15 credits
  • Digital Media Engineering 15 credits

For more information on typical modules, read Mobile Computing and Communication Networks MSc in the course catalogue

Learning and teaching

Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them 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.

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.

Projects

The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.Most projects are experimentally based and linked with companies within the oil and gas industry to ensure the topic of research is relevant to the field whilst also addressing a real-world problem.

A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.

Career opportunities

Career opportunities are extremely broad, covering jobs in the design of embedded software running on multi-core devices through to jobs involving the design and implementation of new mobile-applications centric systems for business. In the application of mobile computing skills, job opportunities span every area, from the automotive sector through to retail and banking.

You could launch a career in fields such as mobile app development, mobile systems architecture, project management, network consultancy. You could also work as an engineer in embedded mobile communications, network security or research and development among many others – and you’ll even be well-prepared for PhD study.

Careers support

You’ll have access to the wide range of engineering and computing careers resources held by our Employability team in our dedicated Employability Suite. You’ll have the chance to attend industry presentations book appointments with qualified careers consultants and take part in employability workshops. Our annual Engineering and Computing Careers Fairs provide further opportunities to explore your career options with some of the UK’s leading employers.

The University's Careers Centre also provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website.



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Computer Science influences every aspect of modern life and is one of the fastest-moving academic disciplines. It contributes to everything from the efficiency of financial markets to film and TV graphics and has a huge impact on both economic competitiveness and human wellbeing. Read more
Computer Science influences every aspect of modern life and is one of the fastest-moving academic disciplines. It contributes to everything from the efficiency of financial markets to film and TV graphics and has a huge impact on both economic competitiveness and human wellbeing.


Why study MSc Computer Science at Middlesex?

Our course not only offers a balance between advanced computer science theory and practical experience, but has a very strong focus on contemporary research. Practical work is an important part of every module and the School of Science and Technology has strong links with industry, including companies such as Microsoft and Siemens. The university is very active in the exploration of a number of areas, including computer graphics,mobile development, human-computer interaction, robotics, artificial intelligence, ethics, ubiquitous computing, functional programming, algorithmic biology, image and video analysis, quantum computing, computational biology and visual analytics, and this research influences the course very strongly.

Our course is aimed at students who've studied computing for their first degree, and wish to make themselves stand out further by developing an advanced mastery of the subject.

Course highlights:

The university is home to the Human Interactive Systems Laboratory, acentre of research into haptic technology, and leads the UK Visual Analytics Consortium.

Our specialist multimedia laboratories are well-equipped with industry-standard software and hardware, including both PCs and Macs.

Many of the teaching staff are the authors of widely-used textbooks and learning materials. They include:

Dr Kai Xu, a former senior research scientist with CSIRO, Australia's national science agency;
Dr Elke Duncker-Gassen, aformer systems and software engineer at GEI Gesytec;
Dr Chris Huyck, a former software engineer at Microsoft.
You'll also improve your communication, teamwork, time-management, problem-solving and critical skills.

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The Masters in Data Science provides you with a thorough grounding in the analysis and use of large data sets, together with experience of conducting a development project, preparing you for responsible positions in the Big Data and IT industries. Read more

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

Why this programme

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

Programme Structure

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

Core courses

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

Optional courses

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

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

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

Career Prospects

You will be well qualified for responsible software development positions, not only in the IT sector but also in many other sectors such as education, engineering, health services, financial services, government, manufacturing, retail, and transport. Expertise in Data Science & Big Data is particularly prized by employers. You will also be well qualified to proceed to a PhD in computing science.

Graduates of this programme have gone on to positions such as:

Software Engineer at Graham Technology.



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Learning how to design high-level software that guarantees safety and correctness while still being in control of its complexity. Read more

Learning how to design high-level software that guarantees safety and correctness while still being in control of its complexity.

Software plays a role in almost every aspect of our daily lives and in every organisation anywhere in the world. It can often be a crucial key to their success. Well-structured software that is attuned to an organisation’s needs and future plans can be cost effective, improve efficiency, offer better services and be innovative. Many companies, in every branch out there, are therefore looking for highly skilled software specialists. Graduates of the Master’s specialisation in Software Science will have no trouble finding a job.

Producing software is not merely a technological enterprise but a deeply scientific and creative one as well. Modern cars drive on 20 million lines of code. How do we develop all this software and control its complexity? How do we ensure correctness of software on which the lives in a speeding car literally depend on? This specialisation goes far beyond basic code writing. It’s about analysing and testing code in order to improve it as well as simplify it.

Why study Software Science at Radboud University?

- Although not the only focus, our programme puts a lot of emphasis on embedded software and functional programming.

- We teach a unique range of software analysis techniques and application down to practical/commercial use in industry.

- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as model based and virtual product development, advanced programming, and domain specific languages. We also closely collaborate with the Embedded Systems Institute.

- Our approach is pragmatic as well as theoretical. As an academic, we don’t just expect you to understand and make use of the appropriate tools, but also to program and develop your own.

- For your Master’s research we have a large number of companies like Philips, ASML and NXP offering projects. There are always more projects than students.

- Thanks to free electives students can branch out to other Computing Science domain at Radboud University such as security, machine learning or more in-depth mathematical foundations of computer science.

- The job opportunities are excellent: some of our students get offered jobs before they’ve even graduated and almost all of our graduates have positions within six months after graduating.

See the website http://www.ru.nl/masters/softwarescience

Admission requirements for international students

1. A completed Bachelor's degree in Computing Science or related area

In order to get admission to this Master’s you will need a completed Bachelor’s degree in Computing Sciences or a related discipline.

2. A proficiency in English

In order to take part in the programme, you need to have fluency in English, both written and spoken. Non-native speakers of English without a Dutch Bachelor's degree or VWO diploma need one of the following:

- TOEFL score of >575 (paper based) or >232 (computer based) or >90 (internet based)

- IELTS score of >6.5

- Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher

Career prospects

Writing good software is a highly creative process, which requires the ability to approach problems in entirely novel ways through computational thinking. Besides creativity, a professional software scientist also has fine problem-solving, analytical, programming, and communication skills. By combining software programming, model-checking techniques and human intellect, software scientists can make a real difference to help and improve the devices that govern such a large part of our lives.

The job perspective for our graduates is excellent. Industry desperately needs software science specialists at an academic level, and thus our graduates have no difficulty in find an interesting and challenging job. Several of our graduates decide to go for a PhD and stay at a university, but most of our students go for a career in industry. They then typically either find a job at a larger company as consultant or programmer, or they start up their own software company.

Examples of companies where our graduates end up include the big Dutch high-tech companies such as Océ, ASML, Vanderlande and Philips, ICT service providers such as Topicus and Info Support and companies started by Radboud graduates, like AIA and GX.

Our research in this field

The Master’s programme in Computing Sciences is offered in close collaboration with the research Institute for Computing and Information Sciences (iCIS). Research at iCIS is organised in three different research sections:

- Model Based System Development

- Digital Security

- Intelligent Systems

The Software Science specialisation builds on the strong international reputation of iCIS in areas such model based and virtual product development, advanced programming, and domain specific languages.

Research project and internship

For your research project, you may choose to do your internship at:

- A company

---- SME, such as as Océ, Vanderlande, Clarity or GX

---- multinational, such as the Philips, ASML, NXP, Logica or Reed Business Media

- A governmental institute, such as the (Dutch) Tax Authorities or the European Space Agency.

- Any department at Radboud University or another university with issues regarding software, like studying new techniques for loop bound analysis, the relation between classical logic and computational systems, or e-mail extension for iTasks.

- One of the iCIS departments, specialising on different aspects of Software Science.

- Abroad, under supervision of researchers from other universities that we collaborate with. For instance, exploring a new technique for automata learning at Uppsala University in Sweden, or verifying the correctness of Erlang refactoring transformations at the Eötvös Loránd University (ELTE) in Budapest, Hungary.

See the website http://www.ru.nl/masters/softwarescience

Radboud University Master's Open Day 10 March 2018



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The Masters in Software Engineering provides you with a thorough grounding in professional software development, together with experience of conducting a development project, preparing you for responsible positions in the IT industry. Read more
The Masters in Software Engineering provides you with a thorough grounding in professional software development, together with experience of conducting a development project, preparing you for responsible positions in the IT industry.

Why this programme

The School of Computing Science is consistently highly ranked achieving 2nd in Scotland and 10th in the UK (Complete University Guide 2017)
You will have opportunities to meet industrial speakers who contribute to our professional skills & issues course. Employers also come to make recruitment presentations, and often seek to recruit our graduates during the programme.
The School of Computing Science is a member of the Scottish Informatics and Computer Science Alliance (SICSA). This is a collaboration of Scottish Universities whose goal is to develop and extend Scotland's position as a world leader in Informatics and Computer Science research and education.
You will have opportunities to meet employers who come to make recruitment presentations, and often seek to recruit our graduates during the programme.
You will benefit from having 24-hour access to a computer laboratory equipped with state-of-the-art hardware and software.

Programme structure

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

Core courses

Enterprise cyber security
IT architecture
Research methods and techniques
Safety critical systems
Masters team project.
Optional courses

Advanced networking and communications
Advanced operating systems
Algorithmics
Artificial intelligence
Big data: systems, programming and management
Computer architecture
Computer vision methods and applications
Cryptography and secure development
Cyber security forensics
Cyber security fundamentals
Distributed algorithms and systems
Financial software engineering
Functional programming
Human-computer interaction
Human-computer interaction: design and evaluation
Human-centred security
Information retrieval
Internet technology
Machine learning
Mobile human-computer interaction
Modelling reactive systems
Software project management
Theory of computation
Web science
Depending on staff availability, the optional courses listed here may change.

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

Career prospects

You will be particularly well qualified for responsible software development positions, not only in the IT sector but also in many other sectors such as education, engineering, health services, financial services, government, manufacturing, retail, and transport. You will also be well qualified to proceed to a PhD in computing science.

Graduates of this programme have gone on to positions such as:
Software Engineer at Kana Software.

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This flexible course offers a largely free choice of modules from our range of Advanced Master's programmes. It is likely to appeal to computing graduates whose interests span more than one specialism and/or those seeking the freedom to explore a variety of advanced topics. Read more
This flexible course offers a largely free choice of modules from our range of Advanced Master's programmes.

It is likely to appeal to computing graduates whose interests span more than one specialism and/or those seeking the freedom to explore a variety of advanced topics. Depending on the options chosen, this course can serve as a springboard for employment or research.

This programme is available with an optional industrial placement. The course duration varies depending on the options taken.

Visit the website https://www.kent.ac.uk/courses/postgraduate/246/advanced-computer-science

About the School of Computing

Our world-leading researchers, in key areas such as systems security, programming languages, communications, computational intelligence and memory management, and in interdisciplinary work with biosciences and psychology, earned us an outstanding result in the most recent national research assessment.

In addition, two of our staff have been honoured as Distinguished Scientists by the ACM and we have also held Royal Society Industry Fellowships.

As an internationally recognised Centre of Excellence for programming education, the School of Computing is a leader in computer science teaching. Two of our staff have received the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education. We are also home to two National Teaching Fellows, to authors of widely used textbooks and to award-winning teaching systems such as BlueJ.

Modules

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

CO880 - Project and Dissertation (60 credits)
CO885 - Project Research (15 credits)
CO881 - Object-Oriented Programming (15 credits)
CO871 - Advanced Java for Programmers (15 credits)
CO874 - Networks and Network Security (15 credits)
CO876 - Computer Security (15 credits)
CO846 - Cloud Computing (15 credits)
CO882 - Advanced Object-Oriented Programming (15 credits)
CO836 - Cognitive Neural Networks (15 credits)
CO837 - Natural Computation (15 credits)
CO889 - C++ Programming (15 credits)
CO894 - Development Frameworks (15 credits)
CO899 - System Security (15 credits)
CO890 - Concurrency and Parallelism (15 credits)
CO892 - Advanced Network Security (15 credits)
CO838 - Internet of Things and Mobile Devices (15 credits)
CO841 - Computing Law, Contracts and Professional Responsibility (15 credits)
CO528 - Introduction to Intelligent Systems (15 credits)
CO545 - Functional and Concurrent Programming (15 credits)
CO641 - Computer Graphics and Animation (15 credits)
CO645 - IT Consultancy Practice 2 (15 credits)
CO832 - Data Mining and Knowledge Discovery (15 credits)
CO834 - Trust, Security and Privacy Management (15 credits)
CO884 - Logic and Logic Programming (15 credits)
CO847 - Green Computing (15 credits)

Assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.

Programme aims

This programme aims to:

- enhance the career prospects of graduates seeking employment in the computing/IT sector

- prepare you for research and/or professional practice at the forefront of the discipline

- develop an integrated and critically aware understanding of one or more areas of computing/IT and their applications (according to your degree title)

- develop a variety of advanced intellectual and transferable skills

- equip you with the lifelong learning skills necessary to keep abreast of future developments in the field.

Careers

Students can gain practical work experience as part of their degree through our industrial placements scheme and KITC (see above). Both of these opportunities consolidate academic skills with real world experience, giving our graduates a significant advantage in the jobs market. Our graduates go on to work for leading companies including Cisco, GlaxoSmithKline, IBM, Intel, Lilly, Microsoft, Morgan Stanley, Thomson Reuters and T-Mobile. Many have gone on to develop their careers as project leaders and managers.

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

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The Advanced Computer Science (Computational Intelligence) MSc programme combines a wide choice of advanced topics in computer science with specialist modules relating to computational intelligence, including logic-based, connectionist and evolutionary artificial intelligence, inspirations from the natural world, practical applications and the philosophy of machine reasoning. Read more
The Advanced Computer Science (Computational Intelligence) MSc programme combines a wide choice of advanced topics in computer science with specialist modules relating to computational intelligence, including logic-based, connectionist and evolutionary artificial intelligence, inspirations from the natural world, practical applications and the philosophy of machine reasoning.

While studying a taught Master’s programme at the School of Computing, you can gain work experience through our industrial placement scheme or with the Kent IT Consultancy (KITC), which provides a project-based consultancy service to businesses in the region. We have strong links with industry including Cisco, IBM, Microsoft and Oracle and are among the top ten in the UK for graduate employment prospects.

The programme is aimed at graduates considering a career in research and development. It would also provide an excellent foundation for PhD study.

This programme is available with an optional industrial placement.

Visit the website https://www.kent.ac.uk/courses/postgraduate/249/advanced-computer-science-computational-intelligence

About the School of Computing

Our world-leading researchers, in key areas such as systems security, programming languages, communications, computational intelligence and memory management, and in interdisciplinary work with biosciences and psychology, earned us an outstanding result in the most recent national research assessment.

In addition, two of our staff have been honoured as Distinguished Scientists by the ACM and we have also held Royal Society Industrial Fellowships.

As an internationally recognised Centre of Excellence for programming education, the School of Computing is a leader in computer science teaching. Two of our staff have received the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education. We are also home to two National Teaching Fellows, to authors of widely used textbooks and to award-winning teaching systems such as BlueJ.

Modules

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

CO885 - Project Research (15 credits)
CO880 - Project and Dissertation (60 credits)
CO881 - Object-Oriented Programming (15 credits)
CO871 - Advanced Java for Programmers (15 credits)
CO832 - Data Mining and Knowledge Discovery (15 credits)
CO836 - Cognitive Neural Networks (15 credits)
CO837 - Natural Computation (15 credits)
CO884 - Logic and Logic Programming (15 credits)
CO838 - Internet of Things and Mobile Devices (15 credits)
CO841 - Computing Law, Contracts and Professional Responsibility (15 credits)
CO846 - Cloud Computing (15 credits)
CO847 - Green Computing (15 credits)
CO528 - Introduction to Intelligent Systems (15 credits)
CO545 - Functional and Concurrent Programming (15 credits)
CO641 - Computer Graphics and Animation (15 credits)
CO645 - IT Consultancy Practice 2 (15 credits)
CO834 - Trust, Security and Privacy Management (15 credits)
CO874 - Networks and Network Security (15 credits)
CO876 - Computer Security (15 credits)
CO889 - C++ Programming (15 credits)
CO890 - Concurrency and Parallelism (15 credits)
CO892 - Advanced Network Security (15 credits)
CO894 - Development Frameworks (15 credits)
CO899 - System Security (15 credits)
PL583 - Philosophy of Cognitive Science and Artificial Intelligence (30 credits)

Assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation, except for the MSc in IT Consultancy for which the practical consultancy work is assessed through a series of reports covering each of the projects undertaken.

Programme aims

This programme aims to:

- enhance the career prospects of graduates seeking employment in the computing/IT sector

- prepare you for research and/or professional practice at the forefront of the discipline

- develop an integrated and critically aware understanding of one or more areas of computing/IT and their applications (according to your degree title)

- develop a variety of advanced intellectual and transferable skills

- equip you with the lifelong learning skills necessary to keep abreast of future developments in the field.

Careers

Students can gain practical work experience as part of their degree through our industrial placements scheme and Kent IT Consultancy. Both of these opportunities consolidate academic skills with real world experience, giving our graduates a significant advantage in the jobs market.

Our graduates go on to work for leading companies including Cisco, GlaxoSmithKline, IBM, Intel, Lilly, Microsoft, Morgan Stanley, Thomson Reuters and T-Mobile. Many have gone on to develop their careers as project leaders and managers.

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

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Computer security remains a hot topic in the media and there is strong demand for graduates with technical skills in this area. The programme addresses computer and information security holistically because vulnerability in any one component can compromise an entire system. Read more
Computer security remains a hot topic in the media and there is strong demand for graduates with technical skills in this area. The programme addresses computer and information security holistically because vulnerability in any one component can compromise an entire system.

This includes computer architectures, operating systems, network technologies, data storage and software development processes. A wide range of threats and other security issues (for example, denial-of-service attacks, hacking, viruses and worms) are covered along with defences and countermeasures.

The programme is aimed at computing graduates who are seeking careers as computer security professionals or who are interested in research. All taught Master’s programmes at Canterbury are available with an optional industrial placement.

Visit the website https://www.kent.ac.uk/courses/postgraduate/254/computer-security

About the School of Computing

Our world-leading researchers, in key areas such as systems security, programming languages, communications, computational intelligence and memory management, and in interdisciplinary work with biosciences and psychology, earned us an outstanding result in the most recent national research assessment.

In addition, two of our staff have been honoured as Distinguished Scientists by the ACM and we have also held Royal Society Industrial Fellowships.

As an internationally recognised Centre of Excellence for programming education, the School of Computing is a leader in computer science teaching. Two of our staff have received the ACM SIGCSE Award for Outstanding Contribution to Computer Science Education. We are also home to two National Teaching Fellows, to authors of widely used textbooks and to award-winning teaching systems such as BlueJ.

Modules

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

CO834 - Trust, Security and Privacy Management (15 credits)
CO874 - Networks and Network Security (15 credits)
CO876 - Computer Security (15 credits)
CO880 - Project and Dissertation (60 credits)
CO885 - Project Research (15 credits)
CO899 - System Security (15 credits)
CO894 - Development Frameworks (15 credits)
CO889 - C++ Programming (15 credits)
CO846 - Cloud Computing (15 credits)
CO882 - Advanced Object-Oriented Programming (15 credits)
CO883 - Systems Architecture (15 credits)
CO836 - Cognitive Neural Networks (15 credits)
CO837 - Natural Computation (15 credits)
CO838 - Internet of Things and Mobile Devices (15 credits)
CO841 - Computing Law, Contracts and Professional Responsibility (15 credits)
CO528 - Introduction to Intelligent Systems (15 credits)
CO545 - Functional and Concurrent Programming (15 credits)
CO645 - IT Consultancy Practice 2 (15 credits)
CO832 - Data Mining and Knowledge Discovery (15 credits)
CO847 - Green Computing (15 credits)
CO890 - Concurrency and Parallelism (15 credits)
CO892 - Advanced Network Security (15 credits)
EL846 - Industrial Context of Biometrics (15 credits)
CO871 - Advanced Java for Programmers (15 credits)
CO881 - Object-Oriented Programming (15 credits)

Assessment

Assessment is through a mixture of written examinations and coursework, the relative weights of which vary according to the nature of the module. The final project is assessed by a dissertation.

Programme aims

This programme aims to:

- enhance the career prospects of graduates seeking employment in the computing/IT sector

- prepare you for research and/or professional practice at the forefront of the discipline

- develop an integrated and critically aware understanding of one or more areas of computing/IT and their applications (according to your degree title)

- develop a variety of advanced intellectual and transferable skills

- equip you with the lifelong learning skills necessary to keep abreast of future developments in the field.

Careers

Students can gain practical work experience as part of their degree through our industrial placements scheme and KITC (see above). Both of these opportunities consolidate academic skills with real world experience, giving our graduates a significant advantage in the jobs market. Our graduates go on to work for leading companies including Cisco, GlaxoSmithKline, IBM, Intel, Lilly, Microsoft, Morgan Stanley, Thomson Reuters and T-Mobile. Many have gone on to develop their careers as project leaders and managers.

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

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