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Masters Degrees (Applied Artificial Intelligence)

We have 54 Masters Degrees (Applied Artificial Intelligence)

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Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms. Read more
Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms.

You focus on linking artificial intelligence techniques to real-world applications and projects, including artificial intelligence in business and financial applications, artificial intelligence in games, artificial intelligence in biological sciences and medicine, and artificial intelligence in industrial control.

Our unique course covers the theoretical, applied and practical aspects of artificial intelligence, with an emphasis on:
-Genetic algorithms
-Evolutionary programming
-Fuzzy systems
-Neural networks
-Connectionist systems
-Hybrid intelligent systems

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Our course opens up employment opportunities designing intelligent software – in banks and businesses designing prediction systems, in computer games companies designing adaptive games, in pharmaceutical companies designing intelligent systems that model a given drug and its various interactions, and in heavy industries designing control systems.

Our recent graduates have progressed to a variety of senior positions in industry and academia. Some of the companies and organisations where our former graduates are now employed include:
-Electronic Data Systems
-Pfizer Pharmaceuticals
-Bank of Mexico
-Visa International
-Hyperknowledge (Cambridge)
-Hellenic Air Force
-ICSS (Beijing)
-United Microelectronic Corporation (Taiwan)

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

Postgraduate study is the chance to take your education to the next level. The combination of compulsory and optional modules means our courses help you develop extensive knowledge in your chosen discipline, whilst providing plenty of freedom to pursue your own interests. Our research-led teaching is continually evolving to address the latest challenges and breakthroughs in the field, therefore to ensure your course is as relevant and up-to-date as possible your core module structure may be subject to change.

Artificial Intelligence - MSc
-MSc Project and Dissertation
-Machine Learning and Data Mining
-Professional Practice and Research Methodology
-Group Project
-Intelligent Systems and Robotics
-Computer Vision (optional)
-Game Artificial Intelligence (optional)
-Evolutionary Computation and Genetic Programming (optional)
-Natural Language Engineering (optional)
-Artificial Neural Networks (optional)
-Virtual Worlds (optional)
-Creating and Growing a New Business Venture (optional)
-Learning and Computational Intelligence in Economics and Finance (optional)

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A QUICKLY CHANGING AND CHALLENGING FIELD . Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. Read more

A QUICKLY CHANGING AND CHALLENGING FIELD 

Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. This Master's programme focuses on the theoretical symbolic foundations within Artificial intelligence. We examine the semantics of natural language and of reasoning and argumentation. Moreover, we also look at the foundations of autonomy and collaboration between distributed software systems. These are applied for instance in virtual characters in serious games, in logistic applications like train schedules and in autonomous cars. Other application areas are social simulation for policy management and change of behaviour.  

OUR OFFER 

The Master’s in Artificial Intelligence offers you an integrative and cutting-edge approach to the field from the viewpoints of Informatics, Logic, Cognition, Psychology, Philosophy, and Linguistics.

Students can choose from three tracks: 

Choosing from a broad range of courses you can tailor the programme to your personal interests within Artificial Intelligence.  

PROGRAMME OBJECTIVE 

As a graduate of the Artificial Intelligence programme, you will have a solid understanding of the logical, philosophical, and cognitive foundations of AI research. You will also have a good overview of the main AI techniques and an in-depth understanding of how to apply these techniques in at least one of the areas within multi-agent systems, reasoning, or cognitive processing. In addition, you will have the skills to carry out AI research in academic or R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organisations.



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Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms. Read more
Artificial intelligence deals with the theory, design, application, and development of biologically, socially and linguistically motivated computational paradigms.

You focus on linking artificial intelligence techniques to real-world applications and projects, including artificial intelligence in business and financial applications, artificial intelligence in games, artificial intelligence in biological sciences and medicine, and artificial intelligence in industrial control.

Our unique course covers the theoretical, applied and practical aspects of artificial intelligence, with an emphasis on:

- Genetic algorithms
- Evolutionary programming
- Fuzzy systems
- Neural networks
- Connectionist systems
- Hybrid intelligent systems

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. Read more

Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. One of the scientific community’s key research objectives is the development of an intelligent robot. The Master of Artificial Intelligence explores and builds on this challenge, will you?

What's the Master of Artificial Intelligence about? 

The Master of Artificial Intelligence programme at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.

Objectives

The AI program aims at instructing and training students on state of the art knowledge and techniques in Artificial Intelligence, with specific focus either on Engineering and Computer Science (ECS), on Speech and Language Technology (SLT) or on Big Data Analytics (BDA), depending on the selected option within the program. It aims at introducing the students to the concepts, methods and tools in the field.

It aims at instructing students on the achievements in a number of advanced application areas and make them familiar with their current research directions. It aims to bring students to a level of knowledge, understanding, skills and experience that are needed to actively conduct basic or applied research on an international level. In particular, it aims to provide students with a critical scientific attitude towards the central themes of A.I.

As a master-after-master program, it is assumed that the students entering this program have already achieved the general skills and attitudes defined for any master program. Nevertheless, it is also within the aims of the program to further strengthen the skills and attitudes, within the specific scientific context that AI offers.

ECS-option: In the ECS option, in addition to the above, the program aims at instilling a problem-solving attitude towards the practice of AI. Upon completion of the program, students should be familiar with the fundamentals of AI, be aware of its reasonable expectations, have practical experience in solving AI-problems and be acquainted with a number of advanced areas within the field.

SLT-option: In the SLT-option, in addition to the general aims, the program aims to provide all necessary background and skills which are required to fully understand and to actively participate in the fast developing multi-disciplinary field of Language and Speech. This includes a thorough understanding of the theories and models that shape the field, as well as practical experience with a variety of technologies that are used and currently developed.

BDA-option: In the BDA-option, in addition to the general aims, the program aims for the same additional goals as the ECS-option, but specialized to Big Data Analytics. In particular, it aims at instilling a problem-solving attitude towards the practice of Big Data Analytics. Upon completion of the program, students should be familiar with the fundamentals of Big Data Analytics, be aware of its reasonable expectations, have practical experience in solving BDA-problems and be acquainted with a number of advanced areas within the AI-subfield of BDA.

Career perspectives

With a Master's degree in artificial intelligence you will be welcomed by companies working in:

Information technology

  • Information technology
  • Data mining and Big Data
  • Speech and language technology
  • Intelligent systems
  • Diagnosis and quality control
  • Fraud detection
  • Biometric systems

You will also be qualified to work in banking or provide support for the process industry, biomedicine and bioinformatics, robotics and traffic systems. Some graduates go on to begin a PhD programme.



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What is intelligent behaviour? How can robots communicate with each other? In this programme you will learn how to design and implement intelligent systems. Read more
What is intelligent behaviour? How can robots communicate with each other? In this programme you will learn how to design and implement intelligent systems.

The core topics in The Master's programme Artificial Intelligence are: autonomous perceptive systems, cognitive robotics and multi-agent systems.

- Autonomous Systems
A robot taking samples and collecting information on the moon is an example of an autonomous system. It operates and carries out missions independently. Regardless of their surroundings, it responds with a certain intelligence. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behavior, which is integrated into general cognition.

- Cognitive Robotics
The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineeringinstitute.

- Multi-agent Systems
When a team of robots play footbal they have to communicate and cooperate with each other. This is an example of a multi-agent system. When designing these systems, techniques from computing science and logic are combined with knowledge about the interaction amongst humans and animals.

Why in Groningen?

- Be part of a Programme with excellent reviews
- Challenging graduation projects

Job perspectives

Once you have obtained your Master's degree in Artificial Intelligence, you can apply your skills in research & development, for instance air traffic and space labs, where you make sure that intelligent and innovative technologies are used during the design process. You could also choose to get a job at a research institute where you work as a researcher. This can be done at a university (PhD) or at a research institute like TNO. About 50% of our students chooses a career as a scientist.

Where do graduated master AI students work at the moment? Maarten van Grachten and Mathijs Homminga did the AI master in the old doctoral program and they specialized in very different directions. Mathijs works as a software engineer at the IT-company Evermind. He programs and implements innovative IT-projects for shops. Maarten is doing a PhD in Barcelona where he investigates how a computer can compose jazz music.

Job examples

- Industrial Research & Development
- PhD research position
- Software engineer

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New for 2018, the LLM in LegalTech is an innovative and topical master’s programme, which explores how technologies such as Artificial Intelligence and Blockchain impact on legal services. . Read more

New for 2018, the LLM in LegalTech is an innovative and topical master’s programme, which explores how technologies such as Artificial Intelligence and Blockchain impact on legal services. 

Organisations from both the legal and the tech worlds will be involved in the delivery of the programme, which will offer opportunities to work with artificial intelligence systems; to develop LegalTech apps and solutions; to become comfortable working with Big Data, and to understand the legal and regulatory challenges associated with technology.

Artificial intelligence and related computing technologies are shaping the legal profession at an unprecedented rate. While lawyers must continue to defend the rule of law and to promote access to justice, they must also acquire the skills to embrace new technologies, innovate, and apply "LegalTech" in practice.

What is LegalTech?

Technology is transforming the nature of legal service delivery - from Artificial Intelligence and Blockchain, to online dispute resolution and digital platforms to improve Access to Justice.

Traditional areas of LegalTech such as case management, financial systems and legal research are being streamlined by innovative digital platforms and applications. These will make practices more efficient, more competitive and more relevant in a digital world, making sure that the Law is accessible to everyone.

 What are the benefits of the LLM in LegalTech?

You will acquire a range of skills and experiences that will complement your legal knowledge and equip you to drive innovation in legal practice. You will gain insights into how computational thinking can be related to legal processes and will understand how to deploy different technologies to aid legal practice.

What will I study?

You will take required and optional modules over two general topic areas - how AI is applied to the Law (e.g. introduction to theory, techniques, and tools) and how the Law is applied to AI (e.g. legal, regulatory and ethical impacts of automation and information access). You will learn AI concepts and work with AI tools to develop your own LegalTech solutions, gain experience working with “Big” and Small Data, and apply your knowledge in hands-on practical exercises.

Key Features of LLM in LegalTech

  • Be one of the UK’s first LLM in LegalTech graduates!
  • Gain the knowledge and experience to develop into a 21st century lawyer/legal service practitioner able to deploy different technologies to aid legal practice and to drive innovation across the profession.
  • Discover how Artificial Intelligence is applied to the Law (e.g. introduction to theory, techniques, and tools) and how the Law is applied to AI (e.g. legal, regulatory and ethical impacts of automation and information access).
  • Learn AI concepts and work with AI tools to develop your own LegalTech solutions, gain experience working with “Big” and Small Data, and apply your knowledge in hands-on practical exercises.

Topics in LLM in LegalTech

  • Artificial Intelligence and Law (Computer Science applied to Law)
  • Automating Legal Services
  • Computational thinking and programming for lawyers
  • Quantitative analysis and working with Big Data
  • Blockchain/distributed ledger technology
  • The Law and Artificial Intelligence (Law applied to Computer Science)
  • Rights and accountability in the Digital Economy
  • Legal services in a digital world
  • LegalTech entrepreneurship
  • Digital IP
  • Dissertation or project

Extra-curricular Activities

Throughout your studies, you will have the opportunity to take part in a number of extra-curricular activities to enhance their understanding of LegalTech. These include:

Careers and Employability

There are a broad range of traditional and specialist legal career opportunities available.

  • Lawyers
  • Legal engineers
  • Legal project managers
  • Legal data scientists
  • Legal risk managers
  • Legal technologists


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With a strong emphasis on developing skills and knowledge that can be applied in professional settings, this intensive programme draws on knowledge about language, how it works and how it affects real-life issues. Read more

With a strong emphasis on developing skills and knowledge that can be applied in professional settings, this intensive programme draws on knowledge about language, how it works and how it affects real-life issues.

We were the first in the UK to offer a programme in applied linguistics, so you will benefit from a long-established tradition of teaching in this area, much of which is delivered by world-leading experts.

The programme offers a linguistic perspective on real-world problems of language in use, with relevance to a wide range of professional interests. You will explore how language is used in a variety of social settings, compare language variability with social diversity and examine how knowledge about language as it is actually used can impact on people’s lives.

Note that, unlike other programmes in Applied Linguistics, one topic that we do not concentrate on is teaching pedagogy. If you are more interested in the teaching side of Applied Linguistics, please see:

Programme structure

This programme comprises two semesters of taught courses, followed by a dissertation. Four compulsory core courses provide a solid foundation in the fundamentals of Applied Linguistics, while the optional courses offer you the opportunity to explore your areas of interest.

Compulsory courses:

  • Sociolinguistic Research Design
  • Introduction to Discourse Analysis
  • Issues in Applied Linguistics
  • Introduction to Language Research

Optional courses may include:

  • Special Topics in Sociolinguistics
  • Language and Identity in Bilingual Settings
  • Discourse Studies
  • Second Language Acquisition
  • Introduction to Phonology and Phonetics
  • Global Englishes
  • Introduction to Syntax
  • Language Variation and Change MSc

Learning outcomes

The programme aims to:

  • develop your relevant critical and analytical skills
  • prepare you for employment in the various spheres of social life where linguistics knowledge and skills play a significant part
  • help you develop interest in working at the interface between linguistics and other disciplines
  • prepare you for further study (PhD) in Applied Linguistic

At the end of the programme, you will be able to discuss issues of language description and use the knowledge you have acquired to address real-life problems, such as the teaching of languages and the use of language in specific institutional contexts.

Career opportunities

This programme has been designed to help progress your career as a linguist in academia or as a language expert in a variety of industries such as artificial intelligence.

Scholarships and funding

Find out more about scholarships and funding opportunities:



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This exciting. MRes Computer Science. course is designed to give you the opportunity to develop research skills in a computing area that meets your interests and career development needs. Read more

This exciting MRes Computer Science course is designed to give you the opportunity to develop research skills in a computing area that meets your interests and career development needs. It allows you to combine material from any of our taught Masters courses in the computing suite with an extended research project over a one-year period.

Current demands are greater than ever for individuals to attain postgraduate levels of qualification in an increasingly competitive jobs market. As a result, the MRes Computer Science has been designed to meet the needs of students and employers, providing superior qualified graduates to national and international employers.

The MRes is divided into a taught element (60 credit points) and a laboratory-based research project (120 credit points).

This MSc Computer Science course offers the chance to study a range of topics in the computer science area, including principles of system design, software engineering, enterprise computing, computing architecture and applications of artificial intelligence. You will also have the opportunity to undertake an individual project, based on subjects that interest you, as well as research at the University or your industrial experience if you do a placement.

Demand for high-level software engineering skills continues to rise. Employers are finding it increasingly hard to recruit suitably qualified programmers and software technologists and so, with its emphasis on the application of the latest research ideas, the course will give you the skills to enjoy a highly rewarding career in the cutting-edge computing industry.

The MSc is divided into 60 credit point taught modules and the research project is worth 60 credit points.

Modules

  • Major Project
  • Research Methods
  • Advanced Software Engineering
  • Systems Analysis and Design
  • Service-oriented Cloud Technologies
  • Applied Artificial Intelligence
  • Mobile Interactive Systems
  • Internet Programming
  • 3D Games Algorithms
  • Computer Forensics
  • Robotics and Cybernetics
  • Computer Security
  • Embedded Systems
  • Mobile Networks
  • Network and Cloud Security
  • Wireless Communications

COME VISIT US ON OUR NEXT OPEN DAY!

Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.



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This technical MRes Electronic Systems Masters course will develop your research skills in electronic systems, enriching your prior learning and giving you the tools to succeed in your chosen specialism. Read more

This technical MRes Electronic Systems Masters course will develop your research skills in electronic systems, enriching your prior learning and giving you the tools to succeed in your chosen specialism. The structure of this course allows you to choose modules and combine material from any of our taught master's courses in the School of Science and Technology and deliver an extended research project over a one-year period.

You will undertake a Research Methods module at the beginning of this course, which is designed to develop knowledge, skills and experience that will provide you with a firm foundation for your main research project. You then have the option to choose two further modules in order to develop specific technical knowledge relating to your research project. These can be selected from the full range of modules delivered across our computing and technology taught Master's courses.

Modules

  • Research Methods
  • Major Project
  • Digital Control
  • Robotics and Cybernetics
  • Applied Artificial Intelligence
  • Software Engineering
  • Embedded Systems
  • Group Design Project
  • Computer Security
  • Wireless Communications
  • Mobile Networks

COME VISIT US ON OUR NEXT OPEN DAY!

Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.



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The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. Read more
The Master of Computer Science is a two-year (120 ECTS) advanced study in computer science organized by the Vrije Universiteit Brussel, a Flemish university located in Brussels, Belgium. This English-speaking programme is designed for students with a solid, basic academic background in computer science (Bachelor in Computer Science). The objectives of the programme are to provide a deeper understanding and knowledge of various specializations of computer science and to prepare the student for an active role in computer science research and development. The following specializations are offered: Artificial Intelligence, Multimedia, Software Engineering and Web & Information Systems.

Course outline

All students study a core programme of 30 credits; do a research training of 6 credits and a master thesis of 24 credits. Students should choose one out of four specializations: Artificial Intelligence, Multimedia, Software Engineering, or Web & Information Systems. 30 credits should be spent to mandatory and optional courses within the chosen specialization. The 24 remaining optional courses can be taken within the specialization or from another specialization. Finally, 6 credits can be chosen completely freely form any of the VUB courses. This brings the total to 120 ECTS credits. The master thesis as well as the research training needs to be related to the chosen specialization.

Specializations offered

 Artificial Intelligence
The focus in this specialization is on building intelligent software artifacts. The theories of complex dynamic systems and self-organization are emphasized starting from the theory of complex dynamic systems as developed in related fields such as mathematics, physics, and biology. Students will be exposed to current research in the areas of adaptive systems, multi-agent systems, and the origins of language.

 Multimedia
Students in this specialization will conduct in-depth exploration of techniques for signal processing and communication of multimedia content. The program is designed to build thorough technological and scientific knowledge of various multimedia domains such as digital television, telephony and video phony, computer animation, computer games, and the Internet. Students will gain experience with complex ICT architectures for the processing, distribution, and consumption of multimedia content.

 Software Engineering
In this specialization, students gain the skills needed to build complex software applications and software intensive systems. Students are also taught scientifically sound methods, as well as the newest techniques and tools for the developing of software. The curriculum also includes research topics in programming languages and integrated development environments.

 Web & Information Systems
This specialization is geared towards information system development and application development in the context of the Web. Students will learn about data and semantic representation techniques and acquire thorough technological and scientific knowledge related to the newest technological developments for the Web. Students can participate is research in the area of ontologies, new media systems (multimedia, Virtual Reality, games, social systems), and the "Internet of Things".

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This unique one-year Master’s programme has been designed for professionals looking to accelerate their career, innovate within their organisation, or start a new business venture during this time of great change. Read more

This unique one-year Master’s programme has been designed for professionals looking to accelerate their career, innovate within their organisation, or start a new business venture during this time of great change.

Programme overview

Future proof your career or business with this Master’s programme from Tech Futures Lab. 

In this programme you will explore the critical technologies and approaches that are redefining the new world of business with support from industry experts and the Tech Futures Lab team. 

In the first 12-week immersion phase, you'll gain a greater understanding of exponential technologies such as artificial intelligence (A.I.), data science, machine learning, cybersecurity, blockchain and robotics, as well as new approaches to business including the collaborative economy, ideation, design thinking,and understanding stakeholders and customer journey. 

With this new knowledge, applied project work, research and collaborative workshops, you'll develop a project plan that lays out the development and/or implementation of a new idea, product or service. 

In the following 38-week project phase, you'll develop and implement your project plan. You'll draw on new knowledge of emerging and disruptive technologies, utilise strategies of tech-enabled businesses, and implement your project.

Highlights

  • Delivered by Unitec’s partner Tech Futures Lab at their specially designed, one-of-a-kind learning environment located in the heart of Newmarket 
  • Flexible to suit you and your area of focus, whether you want to start a venture from scratch, scale an existing one, re-define your dream role or grow within your organisation. Whatever your goal, this programme will flex to fit you 
  • Driven by cutting edge expertise in new technologies and business models, disruption, design thinking, with applied knowledge of automation and robotics, blockchain, machine learning, A.I., data analytics and more 
  • Fully supported by a dedicated adviser and the Tech Futures Lab team to ensure you receive ongoing feedback and guidance 
  • Provides access to a diverse network of innovators and facilitators including business people, leaders, educators, and entrepreneurs, heralding innovative new ways of doing business, bringing new technologies to light, and innovating within existing organisations


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Application period/deadline. March 14 - 28, 2018. Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment. Read more

Application period/deadline: March 14 - 28, 2018

• Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment

• The studies combine both theoretical and practical approach

• Specializations in Applied Computing, Artificial Intelligence, and Computer Egineering

The International Master’s Degree Programme in Computer Science and Engineering (CSE) is a two-year research-oriented programme concentrating on intelligent digital solutions to real world problems. During the past decades, Computer Science and Engineering has had a significant impact into our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.

The two-year programme has three specialisation options:

• Applied Computing

• Artificial Intelligence

• Computer Engineering

Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.

Artificial Intelligence focuses in various fields of AI, such as machine learning, machine vision, and data mining. This specialisation provides students with a solid theoretical understanding and practical skills on processing and analyzing digital data and the ability to create intelligent solutions to real world problems with modern AI techniques.

Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialisation, students also study signal processing and its applications, and work with projects on modern signal processors and embedded computers. The specialisation gives the students a good basis to work with Internet of Things (IoT) applications.

In addition to the core specialization options, students can take optional courses to widen their specialization expertise into:

• Biomedical signal analysis

• Machine learning

• Machine vision

• Signal processing

• Embedded systems

• Ubiquitous computing

This Master’s programme is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned world-wide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing (UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks. Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.

The programme will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.

Possible titles include:

• Research Scientist

• Software Engineer

• System Designer

• Project Manager

• Specialist

Students applying for the programme must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.

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The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Read more
The techniques we use to model and manipulate data guide the political, financial and social decisions that shape our modern society and are the basis of growth of the economy and success of businesses. Technology is growing and evolving at an incredible speed, and both the rate of growth of data we generate and the devices we use to process it can only increase.

Data science is a growing and important field of study with a fast-growing number of jobs and opportunities within the private and public sector. The application of theory and methods to real-world problems and applications is at the core of data science, which aims especially to use and to exploit big data.

If you are interested in solving real-world problems, you like to develop skills to use smart devices efficiently, you want to use and to foster your understanding of mathematics, and you are interested and keen to use statistical techniques and methods to interpret data, MSc Data Science at Essex is for you. You study a balance of solid theory and practical application including:
-Computer science
-Programming
-Statistics
-Data analysis
-Probability

Our Department of Mathematical Sciences has an international reputation in many areas including semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology.

You also benefit from being taught in our School of Computer Science and Electronic Engineering, who are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of their research rated ‘world-leading’ or ‘internationally excellent’ (REF 2014).

The collaborative work between our departments has resulted in well-known research in areas including artificial intelligence, data analysis, data analytics, data mining, data science, machine learning and operations research.

Our expert staff

Our Department of Mathematical Sciences is a small but influential department, so our students and staff know each other personally. You never need an appointment to see your tutors and supervisors, just knock on our office doors – we are one of the few places to have an open-door policy, and no issue is too big or small.

The academic staff in our School of Computer Science and Electronic Engineering are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist staff working on data analytics include Dr Paul Scott, who researches data mining, models of memory and attention, and artificial intelligence, and Professor Maria Fasli, who researches data exploration, analysis and modelling of complex, structured and unstructured data, big data, cognitive agents, and web search assistants.

Specialist facilities

-Unique to Essex is our renowned Maths Support Centre, which offers help to students, staff and local businesses on a range of mathematical problems. Throughout term-time, we can chat through mathematical problems either on a one-to-one or small group basis
-We have our own computer labs for the exclusive use of students in the Department of Mathematical Sciences – in addition to your core maths modules, you gain computing knowledge of software including Matlab and Maple
-We have six laboratories that are exclusively for computer science and electronic engineering students
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-You have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors
-We host regular events and seminars throughout the year
-Collaborate with the Essex Institute of Data Analytics and Data Science (IADS) and the ESRC Business and Local Government (BLoG) Data Research Centre of the University of Essex
-The UK Data Archive and the Institute for Social and Economic Research (ISER) at Essex contribute to our internationally outstanding data science environment

Your future

With a predicted shortage of data scientists, now is the time to future-proof your career. Data scientists are required in every sector, carrying out statistical analysis or mining data on social media, so our course opens the door to almost any industry, from health, to government, to publishing.

Our graduates are highly sought after by a range of employers and find employment in financial services, scientific computation, decision making support and government, risk assessment, statistics, education and other sectors.

We also offer supervision for PhD, MPhil and MSc by Dissertation. We have an international reputation in many areas such as semi-group theory, optimisation, probability, applied statistics, bioinformatics and mathematical biology, and our staff are strongly committed to research and to the promotion of graduate activities.

We additionally work with our Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-Dissertation (optional)
-MSc Project and Dissertation (optional)
-Applied Statistics
-Machine Learning and Data Mining
-Modelling Experimental Data
-Text Analytics
-Artificial Neural Networks (optional)
-Bayesian Computational Statistics (optional)
-Big-Data for Computational Finance (optional)
-Combinatorial Optimisation (optional)
-High Performance Computing (optional)
-Natural Language Engineering (optional)
-Nonlinear Programming (optional)
-Professional Practice and Research Methodology (optional)
-Programming in Python (optional)
-Information Retrieval (optional)
-Data Science and Decision Making (optional)
-Research Methods (optional)
-Statistical Methods (optional)
-Stochastic Processes (optional)

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Research profile. At the Centre for Intelligent Systems and their Applications (CISA) we enable computer systems to reproduce or complement human abilities, work with people, and support collaboration between humans. Read more

Research profile

At the Centre for Intelligent Systems and their Applications (CISA) we enable computer systems to reproduce or complement human abilities, work with people, and support collaboration between humans. We conduct world-leading research in the foundations of Artificial Intelligence (knowledge representation and reasoning, emergence of meaning, theory and ontology change, creativity, mathematical proof) and in intelligent collaborative systems (multiagent systems, social computation, scientific collaboration platforms, web semantics and linked data).

Our research methods are inspired by developing formal models of knowledge, reasoning, and interaction that can be used to understand and automate aspects of human intelligence, but are also understandable and usable to the human designers and users of AI systems.

To achieve this, we combine theoretical research into computational models, architectures, and algorithms with a strong element of applied research. This has led to a strong track record in using our methods to address real-world problems in healthcare, scientific collaboration, social computing, emergency systems, transportation, engineering, aerospace and others.

You'll find a wide range of research areas within CISA conducted in the four research groups the Institute currently hosts:

  • Agents and Multiagent Systems
  • Mathematical Reasoning
  • Planning & Activity Management
  • Data-Intensive Research

CISA includes one of the most innovative collaborations between research and business - our Artificial Intelligence Applications Institute (AIAI). Through its resources and the engagement of CISA staff and students in consultancy, training and joint projects, we help companies and government agencies to apply newly researched techniques.

Training and support

You will carry out research work within a research group under the guidance of a supervisor. You may also attend taught courses that are relevant to your research topic, as prescribed by your supervisor. You will be expected to attend seminars and meetings of relevant research groups. Periodic reviews of progress are conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

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

Facilities

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

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

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

Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

Career opportunities

While your research studies are a perfect route to a career in academia, your degree could also take you into the commercial world of applied AI and collaborative systems.

Software developers using AI technologies are among those who rely on the insights of our research. NASA and animation company Pixar are just two of the organisations that have recently employed our graduates.



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How can we model human task performance? How do our brains combine visual and auditory information? What is the ideal interface for a tired air traffic controller?. Read more
How can we model human task performance? How do our brains combine visual and auditory information? What is the ideal interface for a tired air traffic controller?

The Master's degree programme in Human-Machine Communication (HMC) focuses on Cognitive Science and its applications. By knowing more about cognition you can for example improve the communication between humans and complex computer systems, use language and speech technology or develop simulation models of users. HMC provides you with insights into human cognition and teaches you to use this knowledge in applied settings, such as tutoring systems, speech technology and human-computer interaction.

Two questions form the basis for this programme:
* How does human cognition work?
* How can we use this knowledge in applied settings?

To answer these questions, you have to know how humans perform specific tasks and how this performance limits and affect task performance. How do humans acquire new skills and how do they learn to adapt to a new task? It is important to know in which way information is transferred; the most natural way of human communication is language. But what about machines? Maybe keyboards, choice menus or multi-touch are more suitable.

This programme is unique in combining:
*Artificial Intelligence
*Cognitive Psychology
*Language & Speech Technology

Why in Groningen?

This programme is unique in its combination of:
- Artificial intelligence
- Cognitive psychology
- Language & speech technology

Job perspectives

Once you have obtained your Master's degree, you can then use your skills in industrial research & development departments or usability labs, where you make sure that knowledge about human thinking and acting is used as early as possible in the design process.

In companies where computer software and new media applications are made, user interface design experts, usability testers and interaction designers are needed. If you have specialized in the field of speech and language technology, you can for instance get a job at a telecommunication company.

You could also choose to get a job at a research institute where you work as a researcher. This can be done at a university (PhD studentship) or at a research institute like TNO. About 50% of our students choose a career as a scientist, mostly as PhD student.

Job examples

- Work for a telecommunication company
- Interaction designer
- Usability tester
- PhD research position

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