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Masters Degrees (Web Intelligence)

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The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. Read more

The Web Intelligence MSc aims to provide you with the knowledge and skills to solve challenging computational problems related to advanced reasoning systems for the internet. It will give you a broad understanding of web intelligence and a thorough knowledge of techniques for developing intelligent software. 

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).
  • Opportunities to explore the fundamental roles and practical impacts of the use of artificial intelligence techniques in advanced computing.
  • Key study areas include fundamental internet technologies with complementary aspects of artificial intelligence, algorithmic issues on the web, and agents and multi-agent systems.
  • Frequent access to speakers of international repute through seminars and external lectures, enabling you to keep abreast of emerging knowledge in web intelligence 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 Web Intelligence MSc will provide you with the practical knowledge and expertise to evaluate, design and build intelligent software for the internet. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from a research project and dissertation of 10,000 words. You will study Artificial Intelligence, Agents and Multi-agent Systems as well as Software Engineering of Internet Systems. There are also opportunities to explore a broad range of optional modules allowing you to develop a study pathway that reflects your interests.

Course purpose

A graduate in computer science, mathematics, science or engineering with good knowledge of computer programming, this MSc will provide you with the practical knowledge and expertise to enable you to evaluate, design and build intelligent software for the web. 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.

You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.

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 through a dissertation. 

Career prospects

Our graduates have continued on to have very successful careers in industry and research. Recent employers have included general software consultancy companies, specific software development businesses and the IT departments of large institutions (financial, telecommunications and public sector). Some graduates have entered into the field of academic and industrial research in software engineering, bio-informatics, algorithms, artificial intelligence and computer networks.



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Learning how to build the intelligence used to power the future of the Web. The Web has provided us with novel ways to maintain our social networks, rapidly search for information, and make purchases from the comfort of our own home. Read more

Learning how to build the intelligence used to power the future of the Web.

The Web has provided us with novel ways to maintain our social networks, rapidly search for information, and make purchases from the comfort of our own home. Most of us take these technologies for granted. However, for the Web to function as it does numerous problems had to be solved: which pages should surface given your search query? Which status updates will you enjoy most? Or, how do we make sure you find the products that you where looking for?

These questions are solved using a combination of machine learning, and an understanding of users. As our use of the Web steadily grows, new questions are continuously emerging. Smarter and faster solutions to empower an intelligent Web are needed. In the Master’s specialisation in Web and Language Interaction you’ll learn the building blocks you’ll need to answer resolve future problems that arise on the Web. In this you’ll learn to understand the psychological, technical and statistical aspect of data science and other Web issues.

The key course in this specialisation is the new AI at the Webscale course, in which AI techniques are studied in the context of streaming and massive data. This course is complemented by the App-Lab course, aimed at understanding how Apps are set-up, built and evaluated. Covering human cognition, a choice of courses in psycho-linguistics is offered in line with the broad expertise within the Donders Institute.

See the website http://www.ru.nl/masters/ai/web

Why study Web and Language Interaction at Radboud University?

- Our cognitive focus leads to a highly interdisciplinary AI programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

- This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Data Science. This will take three instead of two years.

- Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.

- To help you decide on a research topic there is a semi-annual Thesis Fair where academics and companies present possible project ideas. Often there are more project proposals than students to accept them, giving you ample choice. We are also open to any of you own ideas for research.

- Our AI students are a close-knit group; they have their own room in which they often get together to debate and develop their projects. Every student also receives personal guidance and supervision from a member of our expert staff.

Our approach to this field

Language Information and Communication Technology lies at the basis of innumerable innovations in our society and has provided remarkable new services (like social media) and new products (like smart phones and tablets). Traditionally, applications of Artificial Intelligence used to be limited to micro worlds and toy systems. The horizon has now been widely extended to distribute mass applications of AI techniques. These developments are supported by a general availability of computation power and connectivity in the form of the web, social media, big data, wireless, and mobile platforms with input and output in many modalities.

Human-human and human-computer communication can be found in natural language applications like in the speech driven free-text systems such as Watson, and Siri, in brand sentiment detection and epidemic monitoring from tweets. But communication is also crucial for web applications and Apps that personalise information and make it accessible with other means. Examples thereof are voter guides, recommendation systems, click stream analysis, crowd sourcing and demand aggregation, e-therapy, e-inclusion, avatars with speech synthesis and recognition, gesture and emotion. Technical issues are e.g. map/ reduce architecture for massive data processing and emerging technologies like the semantic web.

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: Booking.com, Webpower, Google, Facebook, Philips, Booking.com, Philips, Rabobank. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate of the specialisation in Web and Language Interaction could get:

- PhD researcher, for example, on enhancing speech recognition using semantic knowledge or in user interaction design for patient doctor communication in a virtual hospital

- Data Scientist in a web start-up

- Developer for Computer Aided Language Learning

- EU R&D programme leader on machine translation of natural language

- Developer of intelligent software for music studios

Internship

Half of your second year consists of an internship, giving you plenty of hands-on experience. We encourage students to do this internship abroad, although this is not mandatory. We do have connections with companies abroad, for example in China, Finland and the United States.

See the website http://www.ru.nl/masters/ai/web

Radboud University Master's Open Day 10 March 2018



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Cognitive Science and Artificial Intelligence. Read more

Cognitive Science and Artificial Intelligence

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice!

The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior.

Are you interested in applications of Artificial Intelligence in communication techniques? Are you triggered by the question of how human reasoning can be represented in computer systems? Would you like to work for a company like Google or Philips? Then our interdisciplinary Master’s track Cognitive Science and Artificial Intelligence is your right choice!

The CSAI program draws on breakthrough discoveries and insights in the two closely related scientific disciplines Cognitive Science and Artificial Intelligence. Cognitive Science is the study of human reasoning, emotions, language, perception, attention, and memory. Artificial Intelligence is the study and design of computers and software that are capable of intelligent behavior.

Career Prospects Communication Design

Graduates will be able to contribute to advancements in working fields like artificial intelligence and robotics, data science, data mining, knowledge technology and decision support systems.

This is a small selection of positions you may apply for after you have completed your programme:

•Intelligent Software Developer

•Web Analyst

•Social Media Analyst

•Data Journalist

•Social Robot Developer

•Web Data Entrepreneur

•E-Health and Healthcare Quality Analyst



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Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department. Read more

Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department. The MSc Crime Intelligence and Data Analytics (with Advanced Practice) course helps you develop the necessary skills to work in these sectors.

Course details

The work boundaries of the traditional police intelligence analyst and digital forensic investigator are becoming blurred – today’s analysts need to be cyber aware, understanding how communication records and web search histories can be extracted and analysed.

This course covers these areas as well as theories that provide a better sense of the causes of crime and the prevention measures that can be put in place to stabilise and reverse these trends. Analysts shouldn’t be phased by data simply because of its size, complexity or format. This course provides you with the skills to work effectively with large datasets, allowing you to make more informed decisions in relation to criminal investigations. Key features include writing code to quickly clean up data and packaging it so it’s suitable for analysis and visualisation. You will discover that the world constantly presents data in data frames or spreadsheets – our daily activities are invariably logged by a time, date, geolocation. You develop these skills along with your confidence in applying them to make more sense of the data – analysing Twitter downloads, searched words and images, geolocation points or big data. This course also explores strategies employed in forensic investigation. It gives you the space and opportunity to develop your own area of interest in a 60-credit research project where your supervisor enables you to maximise your skillsets from academic writing to data analytics.The two-year MSc Crime Intelligence and Data Analytics (with Advanced Practice) is an opportunity to enhance your qualification by spending one year completing an internship, research or study abroad experience. Although we can’t guarantee an internship, we can provide you with practical support and advice on how to find and secure your own internship position. A vocational internship is a great way to gain work experience and give your CV a competitive edge. Alternatively, a research internship develops your research and academic skills as you work as part of a research team in an academic setting – ideal if you are interested in a career in research or academia. A third option is to study abroad in an academic exchange with one of our partner universities. This option does incur additional costs such as travel and accommodation. You must also take responsibility for ensuring you have the appropriate visa to study outside the UK, where relevant.

What you study

For the MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.

Course structure

Core modules

  • Coding for Intelligence Analysts
  • Crime Science: Theories, Principles and Intelligence Sources
  • Cyber Security and Digital Investigation
  • Forensic Investigative Strategy
  • Legal Issues and Evidence Reporting
  • Research Methods and Proposal

Advanced Practice options

  • Research Internship
  • Study Abroad
  • Vocational Internship

Modules offered may vary.

Teaching

How you learn

You learn through a range of lectures, seminars, tutorials and IT laboratories, using a variety of software. Simulated problems and scenarios are posed in much the same way that analysts would face in the real world. You have the opportunity to use software that is found in real-world intelligence analysis and digital forensic units and data science. Engaging and learning from your peers will help you to achieve solutions. Much of the software you use in class can be downloaded for home use.

How you are assessed

You are assessed through a formal exam as well as through structured coursework.

Employability

You can expect to apply for an intelligence researcher and intelligence analyst role in a wide variety of career opportunities ranging from security, policing and business.



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Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department. Read more

Understanding data is becoming increasingly important for us all. This is especially true for the intelligence analyst working for a police intelligence unit or business analytics department.

Course details

The work boundaries of the traditional police intelligence analyst and digital forensic investigator are becoming blurred – today’s analysts need to be cyber aware, understanding how communication records and web search histories can be extracted and analysed.

This course covers these areas as well as theories that provide a better sense of the causes of crime and the prevention measures that can be put in place to stabilise and reverse these trends. Analysts shouldn’t be phased by data simply because of its size, complexity or format. This course provides you with the skills to work effectively with large datasets, allowing you to make more informed decisions in relation to criminal investigations. Key features include writing code to quickly clean up data and packaging it so it’s suitable for analysis and visualisation. You will discover that the world constantly presents data in data frames or spreadsheets – our daily activities are invariably logged by a time, date, geolocation. You develop these skills along with your confidence in applying them to make more sense of the data – analysing Twitter downloads, searched words and images, geolocation points or big data. This course also explores strategies employed in forensic investigation. It gives you the space and opportunity to develop your own area of interest in a 60-credit research project where your supervisor enables you to maximise your skillsets from academic writing to data analytics.

What you study

For the PgDip award you must successfully complete 120 credits of taught modules. For the MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.

Course structure

PgDip and MSc core modules

  • Coding for Intelligence Analysts
  • Crime Science: Theories, Principles and Intelligence Sources
  • Cyber Security and Digital Investigation
  • Forensic Investigative Strategy
  • Legal Issues and Evidence Reporting
  • Research Methods and Proposal

MSc only

  • Research Project

Modules offered may vary.

Teaching

How you learn

You learn through a range of lectures, seminars, tutorials and IT laboratories using a variety of software. Simulated problems and scenarios are posed in much the same way that analysts would face in the real world. You can expect to use software that is found in real-world intelligence analysis/digital forensic units and data science. An element of the learning is through peer engagement, learning from others to achieve solutions. Much of the software you use in class can be downloaded for home use.

How you are assessed

You are assessed in formal examination settings as well as through structured coursework.

Employability

Career opportunities

You could expect to apply for intelligence researcher and intelligence analyst roles in a wide variety of career opportunities ranging from security, policing and business.



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Overview. Understanding naturally intelligent systems, building artificially intelligent systems, and improving the interactions between humans and artificial systems. Read more

Overview

Understanding naturally intelligent systems, building artificially intelligent systems, and improving the interactions between humans and artificial systems.

As humans, we may be intrigued by the complexity of any daily activity. How do we perceive, act, decide, and remember? On the one hand, if we understand how our own intelligence works, we can use this knowledge to make computers smarter. On the other hand, by making computers behave more like humans, we learn more about how our own cognition works.

The AI Master’s programme at Radboud University has a distinctly cognitive focus. This cognitive focus leads to a highly interdisciplinary programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.

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

Scientific and practical applications

Slowly the human brain has been revealing its mystery to the scientific community. Now that we are actually able to model and stimulate aspects of cognition, AI researchers have gained a deeper understanding of cognition. At the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres, we train our students to become excellent researchers in this area.

At Radboud University we also teach students how to develop practical applications that will become the next generation of products, apps, therapies and services. Our department has been awarded several prizes for its pioneering role in bringing innovations from science to society, e.g. in Assistive Technology for people with disabilities. You’ll be taught the skills needed to conduct and steer such innovation processes. Many Master’s research projects have both a scientific and a practical component.

Specialisations

Computational modelling is the central methodology taught and used in this programme. Depending on the area of study, the computational models can range from behavioural models of millions of individuals interacting on the web, to functional models of human or robot decision-making, to models of individual or networks of artificial neurons. At Radboud University we offer the following three specialisations (on campus simply known as Computation, Robot and Web):

- Computation in Neural and Artificial Systems

Learn how to create artificial information systems that mimic biological systems as well as how to use theoretical insights from AI to better understand cognitive processing in humans.

- Robot Cognition

Understand all aspects of Human-Robot interaction: the programming that coordinates a robot’s actions with human action as well the human appreciation and trust in the robot.

- Web and Language Interaction

Learn how to build the intelligence used to power the future of the Web.

Research project and Internship

To finalise your AI master's programme, you have the choice of either an Internship (18EC) and Research Project (30EC) or a single larger Extended Research Project (48EC). During the internship you have the chance to acquire additional AI relevant skills either at a research lab or at a company. During the Research Projects phase, you get to put what you have learned during your master's programme into practice. You can perform your research work in the AI department, at other research departments at the University (e.g. the Behaviour Science Institute or Donders Institute) or at an external company (such as Philips or TNO). You are also encouraged to go abroad for your internship and/or research project (previously students have gone to Stanford University in California and Aldebaran Robotics in Paris). To help you decide on a thesis topic, there is an annual Thesis Fair where academics and companies present possible project ideas.

Job opportunities

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or a university with an AI department. Other graduates have started their own companies or work for companies interested in cognitive design and research.

Find out how to apply here http://www.ru.nl/masters/ai

Meet Radboud University

- Information for international students

Radboud University would like to meet you in your country (http://www.ru.nl/meetus) in order to give all the information you need and to answer any questions you might have about studying in the Netherlands. In the next few months, an advisor of Radboud University will be attending fairs in various countries, always accompanied by a current or former student.

Furthermore, we understand if you would like to see the Radboud Campus and the city of Nijmegen, which is why we organise an Master's Open Day for international students, which you are welcome to attend (http://www.ru.nl/openday).

- Information for Dutch students

Radboud University offers students in the Netherlands plenty of opportunities to get more information on your programme of choice, or get answers to any questions you might have and more. Apart from a Master's Evening and a Master's Day, we also organise Orientation Days and a Master’s Afternoon for HBO students.

Radboud University Master's Open Day 10 March 2018



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IN BRIEF. MSc by project accredited by the British Computer Society. Gain hands-on experience of the design and implementation of databases and web applications. Read more

IN BRIEF:

  • MSc by project accredited by the British Computer Society
  • Gain hands-on experience of the design and implementation of databases and web applications
  • Learn data-mining techniques using popular tools in different application domains
  • Part-time study option
  • International students can apply

COURSE SUMMARY

This course is your opportunity to specialise in the development of web-based software systems that use databases. During your time with us, you will gain a critical awareness of the methodologies, tools and techniques used for the development of web-based computer systems and an advanced understanding of the techniques used for the development, evaluation and testing of databases.

The course also develops an awareness of the latest developments in the field of advanced databases, data mining and data warehousing. You will also gain substantial knowledge and skills in the deployment of SAS business intelligence software leading towards SAS data miner accreditation, and learn what the Semantic Web and Linked Data are, together with what these technologies enable.

COURSE DETAILS

This course covers a very comprehensive range of topics split in to four large modules worth 30 credits each plus the MSc Project. External speakers from blue-chip and local companies will give seminars to complement your learning, that will be real-world case studies related to the subjects you are studying in your modules. These are designed to improve the breadth of your learning and often lead to ideas that you can develop for your MSc Project.

TEACHING

Teaching on this course takes the form of lectures, individual and group class work, topical class discussions and critical case study evaluation.

You will gain hands-on lab experience of using and setting up databases and web-based systems. What’s more, tutorials will give you practice in solving the theoretical and design problems associated with these systems.

ASSESSMENT

  • Coursework 60%
  • Examinations 40%

EMPLOYABILITY

With this qualification, you’ll be equipped as web/database designer and programmer, data analytics and miner among other roles. Your experience will be in high demand across all industrial and commercial sectors.

Previous students have gone on to work with companies including British Airways, Google, Hewlett-Packard, Oracle and other IT firms.

LINKS WITH INDUSTRY

Our links with industry include large companies (BT, Oracle, Microsoft) and local companies.

These companies engage with the University by giving guest seminars and often our students will work with them on their MSc Project.

FURTHER STUDY

Many of our graduates will go on to further study in our Computer Networks and Telecommunications Research Centre (CNTR)

The CNTR undertakes both pure and applied research in the general field of telecommunications and computer networking including computer networking technologies, wireless systems, networked multimedia applications, quality of service, mobile networking, intelligent buildings, context driven information systems and communication protocols. Much of this work is funded through research grants and supported by industry. In addition, members of the group are actively involved in a range of public engagement courses which aim to raise the awareness of these subjects for the general public and in schools.

Research themes in this Centre include:

  • Wireless technologies and sensor networks
  • Context and location based information systems
  • Intelligent buildings and energy monitoring
  • Communication protocols, traffic routing and quality of service
  • Network planning, traffic modelling and optimisation
  • Ubiquitous and ambient technology
  • Information security and computer forensics
  • Public Awareness


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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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Our research led MSc in Artificial Intelligence covers the fundamental aspects of traditional symbolic and sub-symbolic aspects. Read more

Our research led MSc in Artificial Intelligence covers the fundamental aspects of traditional symbolic and sub-symbolic aspects. This one year degree offers wide-ranging options including intelligent agents, complexity science, computer vision, robotics and machine learning techniques and helps develop a broad skill set suitable for further study or application development.

Introducing your degree

On this degree, you will learn from world-class researchers working in artifical intelligence fields such as computer vision, evolutionary computing, intelligent agents, game theory, deep learning and other machine learning methods. You will develop core data analysis skills and explore both traditional and state-of-the-art aspects of artificial intelligence and machine learning.

Overview

This research-led MSc takes a contemporary approach and covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.

The programme will give you a solid awareness of the key concepts of artificial intelligence. You will also learn the techniques that form the current basis of machine learning and data mining. You will develop a wide-ranging skill set that supports further study or that you can use in application development.

As a result of the leading research being undertaken at Southampton, the course is able to offer a wide range of options that cover state-of-the-art modern techniques, which directly reflect research directions in ECS. These include:

  • intelligent agents
  • complexity science
  • computer vision
  • robotics
  • machine learning techniques, such as support vector machines and deep learning

View the programme specification document for this course

Career Opportunities

This programme provides an excellent platform for further research in either industry or academia.

Graduates from our MSc programme are employed worldwide in leading companies at the forefront of technology. ECS runs a dedicated careers hub which is affiliated with over 100 renowned companies like IBM, Arm, Microsoft Research, Imagination Technologies, Nvidia, Samsung and Google to name a few.

  • Academia
  • Bioinformatics
  • Chemoinformatics
  • Financial services
  • Web applications

Visit our careers hub for more information.



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Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. Read more
Drawing on our research excellence in this area, this innovative programme of study in big data and business intelligence is designed to give graduates a competitive advantage in the modern, fast growing business domain. This is one of the first MSc programmes in the UK covering these leading-edge technologies. The programme provides students with the deeper knowledge, advanced skills and understanding that will allow them to contribute to the development and design of big data systems as well as distributed/internet-enabled decision support application software systems, using appropriate technologies, architectures and techniques (e.g. data analytics, business intelligence, NoSQL, data mining, data warehousing, distributed data management and technologies, Hadoop, etc.).

Additionally, the programme enables students to understand and assess the security and legal implications of e-commerce applications and provides students with appropriate knowledge of business and commerce relevant to transacting business on the internet. The courses take a software engineering approach to the construction of applications and focus on modern software engineering methods, tools and techniques that enable an integrated life-cycle software development view.

Through our short course centre opportunity may also be provided to study for the following professional qualifications: Microsoft Technology Associate Exams; Certified Professional Java SE Programmer; Java Certified Associate; Oracle Certified Associate (OCA).

Visit the website http://www2.gre.ac.uk/study/courses/pg/com/cgbdbi

Computing - General

Come and study in the award-winning Department of Computing & Information Systems on the magnificent Greenwich Campus. Welcoming home and international students from all backgrounds, CIS provides an exciting, diverse and friendly environment in which to study.

The latest university league table published in the Sunday Times, has rated the computer science department as seventh in the UK for teaching excellence.

What you'll study

Full time
- Year 1:
Students are required to study the following compulsory courses.

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
Database Architectures and Administration (15 credits)
Database Tools (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)
Big Data (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

Students are required to choose 15 credits from this list of options.

Requirements Analysis & Methods (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)

Students are required to choose 15 credits from this list of options.

System Modelling (15 credits)
Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

Part time
- Year 1:
Students are required to study the following compulsory courses.

Database Architectures and Administration (15 credits)
Business Intelligence and Data Mining (15 credits)
Enterprise Systems Integration (15 credits)
Big Data (15 credits)
Essential Professional and Academic Skills for Masters Students
English Language Support Course (for Postgraduate Students in the School of Computing and Mathematical Sciences)

- Year 2:
Students are required to study the following compulsory courses.

PG Project (CIS) (60 credits)
Data Warehousing (15 credits)
Database Tools (15 credits)

Students are required to choose 15 credits from this list of options.

Requirements Analysis & Methods (15 credits)
Software Tools and Techniques (15 credits)
User Centred Web Engineering (15 credits)

Students are required to choose 15 credits from this list of options.

System Modelling (15 credits)
Systems Development Management and Governance (15 credits)
Programming Enterprise Components (15 credits)
Multi-structured Data and NoSQL Technology (15 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.

Assessment

Students are assessed through examinations, coursework and a project.

Professional recognition

This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). For a full Chartered status there are additional requirements, including work experience. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).

Career options

Graduates from this programme can pursue careers as data scientists, database designers and administrators, consultants, senior team members, programmers, analysts.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

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IN BRIEF. You will develop  practical and real-world skills in all major areas of cyber security, cyber forensics, cyber warfare and cyber threat intelligence to fight against Advanced Persistent Threats (APTs). Read more

IN BRIEF:

  • You will develop  practical and real-world skills in all major areas of cyber security, cyber forensics, cyber warfare and cyber threat intelligence to fight against Advanced Persistent Threats (APTs)
  • You will prepare yourself to obtain professional security certifications such as CISSP and CCFP
  • You will be among the most employable people on the planet!
  • Part-time study option
  • International students can apply

COURSE SUMMARY

This course builds on your previous knowledge of computer science and Information Technology (IT), and aims to provide you with an in-depth specialism in the fields of cyber security, cyber threat intelligence and digital forensics. You will gain advanced and in-depth knowledge of penetration testing, cyber forensics, malware reverse engineering and software vulnerability and will exploit research using a very hands-on approach. You will gain practical and real-world skills in all major areas of cyber security including penetration testing, digital forensics, cyber warfare and threat intelligence. Moreover, you will learn how to apply your skills in analysis, testing and maintenance of software systems or enterprise networks from a cyber security perspective.  

You will use your penetration testing and vulnerability assessment skills in finding weaknesses in existing devices and applications and to advise developers or network administrators to secure their application or environment. Your cyber forensics skills can be used to identify, collect, preserve and analyse a wide range of digital evidences and present them in the court of law. You will use your knowledge of programming to analyse different malwares to determine how they work and how countermeasures can be developed. Only a small percentage of cyber security professionals are capable of analysing advanced persistent threats and are capable of understanding and managing malware campaigns. Finally, your cyber threat intelligence knowledge and skills will help you to strategically fight against organised cyber crimes, understand and analyse cyber warfare activities and propose appropriate defensive and offensive mechanisms to reduce or eliminate those risks.

You will have close and active contact with industry experts with the opportunity to attend regular industry guest lecture programs in cyber security while you operate within a well-formed professional and ethical framework.

TEACHING

  • Projects and assignments enable you to apply what you have learned to a realistic problem; to develop independent learning skills; to demonstrate an ability make decisions in uncertain situations; and to develop your ability to compare and contrast alternative technologies.
  • Group activities in class are used to develop your team working and professional skills (though all assessment is individual).
  • Supervised work in computer laboratories is used to put into practice principles you have covered in supporting lectures.
  • Research skills are integral to the program, and you will be required to critique examples of work and then carry out your own research-based investigations in our assignments.
  • The issue of professionalism and ethics is woven in throughout the programme, and issues must be identified and addressed as part of all assignments and projects.

ASSESSMENT

  • Examination (25%) assesses your immediate response to  small or medium unseen problems
  • Coursework (40%) assesses your considered and in-depth response to a larger problem
  • Project (35%) assesses your ability to work independently, to plan a significant activity and, in carrying out the plan, to demonstrate originality in the application of your knowledge.

CAREER PROSPECTS

Graduates from this course can work in a wide variety of technical security roles within business, banking, software, networking, government, consultancy, etc. This would include roles such as malware analyzer, penetration tester, information security manager, security consultant, forensics investigator or security programmer. There is a significant worldwide skills shortage in this area, particularly for graduates with the in-depth technical knowledge and skills that are developed by this course.

LINKS WITH INDUSTRY

This course has contacts with local industry such as software companies (such as Web Applications UK), infrastructure providers (such as UKFast) and security consultants (such as KPMG). These companies will provide you with a real-world perspective to help you appreciate the barriers that exist and the compromises that must be made to manage conflicting demands (known as the C-I-A triad).

FURTHER STUDY

Your MSc project will need you to demonstrate “originality in the application of knowledge”. Given a suitable topic, this may be able to be developed into an area where you can undertake a higher research degree to demonstrate “an original contribution to knowledge” which is the target for a PhD. You will get a chance to learn about the research interests of the University’s research active staff in order to help you develop a suitable topic. This may be directly in a security field, or applications of other fields of computing such as artificial intelligence or big data in cyber security and cyber forensics.



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The course provides an opportunity to develop the skills suitable for a career in Computing with specialist subjects in software development and business intelligence (data science/data analysis). Read more
The course provides an opportunity to develop the skills suitable for a career in Computing with specialist subjects in software development and business intelligence (data science/data analysis).

It allows those who wish to apply their knowledge and expertise in a technical environment to develop the computing and business intelligence skills needed to match software solutions to the needs of business. The course is suitable for graduates wishing to transition into an IT career from other disciplines, as well as for candidates wishing to extend their existing IT experience with a formal Computing qualification.

You will develop skills in business intelligence/data science, software development, database systems, and web programming, as well as the research and development skills required to undertake a sustained piece of data science or software development project work. The course is designed to provide the core computing and business intelligence knowledge and skills required to work within the IT industry, using software development and business intelligence tools and techniques to extend and enhance the knowledge and skills of non-computing graduates.

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Your programme of study. If you want to get involved in our next industry revolution - Industry 4.0 this degree will go a long way to providing you with many skills needed in this high growth industry area which has continued from where the mass communications revolution. Read more

Your programme of study

If you want to get involved in our next industry revolution - Industry 4.0 this degree will go a long way to providing you with many skills needed in this high growth industry area which has continued from where the mass communications revolution. You must have covered either computer science or electrical and electronic engineering as your first degree or a suitable combination to study this Master's degree. The digital age is changing the way we live, communicate, interact and our quality of life rapidly. Cloud based networks are now normal, autonomous vehicles are being explored, visual recognition, GIS aligning to our search interests, data mining to inform us automatically at any point in time what is happening around us and new methods to inform us of danger, awareness, alerts and so on.

Artificial Intelligence provides in depth knowledge of data mining, natural language, information visualisation and communication used in Industry 4.0 innovation industries such as autonomous vehicles, sensor data collection and computation, visual computer recognition software and machine to machine technologies. It is also said that artificial intelligence has the potential to change how we research and act to provide immediate solutions to energy, travel, and gridlock before it happens by setting up more alerts and warnings to us. We now already have the capabilities in smart technology to alert us on maps, apps, weather stations, lighting, sensors and other electronic and wired machine to machine devices to provide instant relevant information.

You are also advised to visit the organisation websites via the link below to find out about the innovations which may be influenced by AI:

Scottish Innovation Centres -

Courses listed for the programme

SEMESTER 1

Compulsory Courses

  • Foundations in AI
  • Machine Learning
  • Evaluation Systems of AI Systems
  • Engineering of AI Systems

SEMESTER 2

Compulsory Courses

  • Data Mining and Visualisation
  • Natural Language Generation
  • Software Agents and Multi-Agent Systems
  • Knowledge Representation and Reasoning

SEMESTER 3

You can broaden and deepen your skills with industry client opportunities where possible

Find out more detail by visiting the programme web page

Why study at Aberdeen?

  • AI or Artificial Intelligence is part of a major industrial revolution globally, linking to the Internet of Things
  • Aberdeen gives you a strong worldwide reputation for teaching in computing science, data science and natural language generation
  • You can be involved in cutting edge innovations which will shape our world in the future

Where you study

  • University of Aberdeen
  • 12 Months Full Time
  • September start

International Student Fees 2017/2018

Find out about fees:

*Please be advised that some programmes have different tuition fees from those listed above and that some programmes also have additional costs.

Scholarships

View all funding options on our funding database via the programme page and the latest postgraduate opportunities

Living in Aberdeen

Find out more about:

  • Your Accommodation
  • Campus Facilities
  • Aberdeen City
  • Student Support
  • Clubs and Societies

Find out more about living in Aberdeen and living costs 

You may also be interested in:

Information Technology MSc - Campus or Online



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This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. Read more

About the course

This exciting new programme explores developments in cloud based and mobile commerce that are changing the way businesses will operate in the future. The Business Intelligence and Social Media MSc draws together technology and business perspectives in order to understand the implications for social-media enabled business.

The course helps students prepare for a career in business and management within and beyond the IT sector by gaining technical skills and an appreciation of the crucial role social web technologies play in today’s organisations and their ability to transform business processes.

Aims

You will develop sound knowledge and understanding of new-media related business practices and transferable skills designed to meet the challenges of employment within the global economy.

You will gain understanding of the importance of information and mass communications technologies to the operations of modern businesses of all kinds.

You will be encouraged to reflect on the relevance of concepts to business and apply your newly developed skills in advance studies or professional practice. Successful graduates of the course progress to leadership and decision making roles in industrial organisations or develop successful consultancy and advisory businesses of their own.

Practitioners seeking a more commercially relevant and technology oriented master’s qualification in the area of new business technologies rather than an MBA find this course of interest.

Course Content

The MSc consists of both compulsory and optional modules, a typical selection can be found below. Modules can vary from year to year, but these offer a good idea of what we teach.

Compulsory Modules

Professional Consultancy in Business Intelligence and Social Media
Social Media
Business Intelligence
Mobile, Social Media and Cloud Services
Knowledge Management, Social Networks and Innovation
Entrepreneurship
Understanding Business and Management Research
Dissertation

Optional

Choose one module from these:

Global Outsourcing
International Business Ethics and Corporate Governance
Strategic Marketing Management
Global Diversity Management

Special Features

Brunel Business School won the Times Higher Education Awards Business School of the Year 2013

The course offers:

Curriculum focus on social media in business.
Teaching with and through social media.
Technologies introduced from non-tech perspective.
Focus on consultancy and entrepreneurship.
Opportunities for students to practice and develop problem analysis, solution design, advisory and communication skills, as well as to become familiar with business models and the life-cycle of business development.

Information Systems Evaluation and Integration Group

Academics who teach on this exciting programme are part of the Information Systems Evaluation and Integration Group which is a research centre of excellence that supports a number of Engineering and Physical Sciences Research Council (EPSRC) funded networks and projects. This group is housed in the Brunel Business School in collaboration with the excellent-rated (RAE score 5) School of Information Systems, Computing and Mathematics. ISEing is the first multi-disciplinary research group to receive government funding in the areas of Information Systems Evaluation, Enterprise Integration and eGovernment.

Teaching

The course is structured so that full-time students take four 15 credit modules per term, plus a 60 credit dissertation module in term 3. Each 15 credit module demands 150 hours of study comprised of 22 hours of tutor arranged contact time and a minimum of 128 hours of non-contact student managed time. Each module has its own form of assessment held at the end of the term in which the module runs, and can include essays, projects and group assignments. The dissertation is an extended research oriented task conducted individually and offers the opportunity for students to undertake in-depth investigation in to a topic of their choosing. Students may choose to develop a project in collaboration with an industrial partner, which can be focused on business solutions of practical relevance (rather than theoretical research).

Modes of Study

1-year full-time in September: The taught element of the course (September to April) includes eight modules; delivery will be by a combination of lectures, seminars and tutorials/group work. A further four months (May to September) is spent undertaking the dissertation.

1-year full-time in January: The taught element of the programme includes 8 modules which are delivered in two terms (four in January to April, and four in September to December); delivery will be by a combination of lectures, seminars and tutorials/group work. The dissertation is undertaken May to August, and then can be completed January to March after the second teaching term.

Graduate School Workshops

In addition to the events and training sessions organised within the Business School, master's students have exclusive access to the workshops and skills training provided by the Brunel University’s Graduate School.

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Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent… Read more

Artificial Intelligence is a well-established, exciting branch of computer science concerned with methods to make computers, or machines in general, intelligent - so that they are able to learn from experience, to derive implicit knowledge from the one given explicitly, to understand natural languages such as English, Arabic, or Urdu, to determine the content of images, to work collaboratively together, etc. The techniques used in AI are as diverse as the problems tackled: they range from classical logic to statistical approaches to simulate brains.

This pathway reflects the diversity of AI in that it freely combines a number of themes related to AI techniques, namely Making Sense of Complex Data, Learning from Data, Reasoning and Optimisation, and Advanced Web Technologies.

Teaching and learning

Computational thinking is becoming increasingly pervasive and is informing our understanding of phenomena across a range of areas; from engineering and physical sciences, to business and society. This is reflected in the way the Manchester course is taught, with students able to choose from an extremely broad range of units that not only cover core computer science topics, but that draw on our interdisciplinary research strengths in areas such as Medical and Health Sciences, Life Sciences and Humanities.

Coursework and assessment

Lectures and seminars are supported by practical exercises that impart skills as well as knowledge. These skills are augmented through an MSc project that enables students to put into practice the techniques they have been taught throughout the course.

Facilities

Disability support

Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: 

Career opportunities

Students following the Artificial Intelligence pathway have all the career choices and options as described for general Advanced Computer Science.

In addition, students of this pathway are ideally placed to work in positions requiring an understanding of modern AI formalism and technologies such as Natural Language Processing, Machine Learning, and Semantic Technologies. This includes the obvious positions in the games industry, but also positions in finance, commerce, and scientific research, and many more.

We maintain close relationships with potential employers and run various activities throughout the year, including career fairs, guest lectures, and projects run jointly with partners from industry. This is managed by our Employability Tutor; see the School of Computer Science's employability pages for more information.

Accrediting organisations

This programme is CEng accredited and fulfils the educational requirements for registration as a Chartered Engineer when presented with CEng accredited Bachelors programme.



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