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Masters Degrees (Artifical Intelligence)

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BECOME A MULTIDISCIPLINARY NEUROSCIENTIST OR COGNITION RESEARCHER. Are you interested in doing research engaged with understanding normal and pathological brain function? Do you want to become a specialist in the field of neurosciences? Our interdisciplinary Master’s programme. Read more

BECOME A MULTIDISCIPLINARY NEUROSCIENTIST OR COGNITION RESEARCHER

Are you interested in doing research engaged with understanding normal and pathological brain function? Do you want to become a specialist in the field of neurosciences? Our interdisciplinary Master’s programme Neuroscience and Cognition offers you the opportunity to investigate numerous areas of brain functioning that make the neuroscience and cognition field uniquely intriguing and challenging.

This Research Master's in Utrecht trains you to become a neuro, and/or cognition scientist, fully equipped to face the challenges of modern research in the interdisciplinary field of neuroscience and cognition. With ample knowledge of the scope of brain and cognitive functioning, you will be prepared to join an international research team investigating the most complex organ of our body.

WHAT YOU’LL LEARN

During this two-year Research Master’s programme, you will explore the fundamental principles and techniques of neuroscience and cognition. As a Master’s student of Neuroscience and Cognition, you may choose from one of two programme tracks: Experimental and Clinical Neuroscience and Cognitive Neuroscience. During the courses, you are grouped in multidisciplinary teams, together with students from various bachelor backgrounds such as Biomedical Sciences, Neuro- and Cognitive Psychology, Linguistics, or Artifical Intelligence. This provides you with ideal preparation for future research positions in public and private research institutes. After the 10-week introductory course Fundamentals of Neuroscience and Cognition, you will determine an individualised study path, consisting of high quality internships, electives and a writing assignment with the assistance of the track coordinator.

WHY STUDY NEUROSCIENCE & COGNITION AT UTRECHT UNIVERSITY?

  1. Unique combination of neurology, neurosurgery, psychiatry, rehabilitation and basic neuroscience
  2. Excellent infrastructural environment with the latest developments in human and rodent functional neuroimaging, deep-sequencing of human genetic material and state-of-the-art techniques in basic neuroscience.
  3. Over 200 principal investigators participate and offer research projects and supervision.
  4. Two extensive research projects provide the possibility to learn and train several techniques and topics, and offers the best route to become a successful PhD student.

CAREER IN NEUROSCIENCE & COGNITION

A Master’s degree in Neuroscience and Cognition offers you multiple career prospects. As a graduate you can continue on to universities and research institutes, teaching hospitals, and the pharmaceutical industry. Or maybe policy and management position in the science, industry, or healthcare sectors is a better prospect for you.



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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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Games development is the fastest growing entertainment industry in the world. Our MSc gives you the highly specialised set of skills needed to stay at the forefront of this demanding and constantly evolving field. Read more

Games development is the fastest growing entertainment industry in the world. Our MSc gives you the highly specialised set of skills needed to stay at the forefront of this demanding and constantly evolving field. This course is accredited by Creative Skillset who is the industry skills body for the Creative Industries including games, and it works with and for the Creative Industries to develop skills and talent, supporting productivity and employability.

Created with involvement from industry professionals, the course programme focuses on the technical aspects of game development and the underlying fundamentals of computer science. We cover a range of core concepts, including C++ programming, physics simulation, concurrency, advanced graphics, artificial intelligence, and game engine architecture. You will have use of our dedicated games development lab, equipped with the latest console development kits and top-spec PCs, plus access to HIVE — our multi-million pound virtual environment lab, which provides access to emerging and new technologies for computer interaction, data collection and visualisation.

The course begins in September each year and lasts twelve months. There are two trimesters of taught modules, followed by an individual dissertation project during the third trimester. There is an option to take an extra trimester – immediately before the dissertation, adding an extra three months of study but letting you gain insights into industry through a module based on commercial practice, typically working with commercial clients and software.

Studying Computer Science at Hull, you'll benefit from an excellent experience for students, with a supportive student community. We have an international reputation for our research activities, with a strong record of industrial and public grant funding. We are also affiliated with Microsoft’s DreamSpark programme, which allows you to access the latest Microsoft operating systems and development software for home use. Once registered with the department, you can download the software free of charge.

Study information

This MSC is designed to support students with various levels of computing and programming practice experience. However, it is particularly suited to those with significant experience of writing code.

The modules in the first trimester are designed to allow a smooth transition to postgraduate study, regardless of your background.

As a route into research, the programme supports the development of postgraduate technical skills, alongside critical research, analysis and planning activities.

In lectures you’ll benefit from a range of techniques, from interpreting complex ideas through interactive discussions, to live programming or other problem-solving demonstrations.

Core modules

  • C++ Programming and Design
  • Real Time Graphics
  • Simulation and Artifical Intelligence
  • Games Architecture and Concurrency
  • Advanced Rendering and Virtual Environments
  • Development Project

Optional modules

  • Computer Science Software Development Practice extra trimester – pass/fail module based in SEED Software, working with commercial clients.
  • The Industrial Experience optional 60-credit single trimester module extends the MSc to a 4-trimester length degree, enabling you to gain meaningful commercial experience

Dissertation

  • Up to 20,000 words. There is the option of taking this module either in trimester 3 or trimester 4, depending on whether you take the Industrial Experience module

Teaching and learning

We place a strong emphasis on practical laboratory sessions. These will significantly develop your core computer science skills, and enhance your employability through exposure to commercial projects.

As teamwork plays a key role in commercial software development and has great value as an employable skill, group work is used in a number of modules.

Assessment

Practical coursework is the main form of assessment, and you will design, build and test software solutions to a variety of problems. This is complemented by written coursework. The largest assessment is the dissertation.

* All modules are subject to availability.

Future prospects

The MSc programme supports career development in a number of ways. These include a mix of modules focused on professional skills and a project involving group work, CV development and personal reflection. We have strong links with many of the UK's top game studios, including Electronics Arts, Sony and Microsoft, many of which recruit straight from our labs.

We also have a range of inspirational extra-curricular activities including the Three Thing Game, Imagine Cup Worldwide Software Development Challenge, Really Useful Seminars and Global Game Jam. They are designed to boost your CV and employability, and taking part costs very little.



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Learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms. Data plays a role in almost every scientific discipline, business industry or social organisation. Read more

Learning how to turn real-world data sets into tools and useful insights, with the help of software and algorithms.

Data plays a role in almost every scientific discipline, business industry or social organisation. Medical scientists sequence human genomes, astronomers generate terabytes of data per hour with huge telescopes and the police employ seismology-like data models that predict where crimes will occur. And of course, businesses like Google and Amazon are shifting user preference data to fulfil desires we don’t even know we have. There is therefore an urgent need for data scientists in whole array of fields. In the Master’s specialisation in Data Science you’ll learn how to turn data into knowledge with the help of computers and how to translate that knowledge into solutions.

Although this Master’s is an excellent stepping-stone for students with ambitions in research, most of our graduates work as data consultants and data analysts for commercial companies and governmental organisations.

Why study Data Science at Radboud University?

- This specialisation builds on the strong international reputation of the Institute for Computing and Information Sciences (iCIS) in areas such as machine learning, probabilistic modelling, and information retrieval.

- We’re leading in research on legal and privacy aspects of data science and on the impact of data science on society and policy.

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

- Because of its relevance to all kinds of different disciplines, we offer our students the chance to take related courses at other departments like at language studies (information retrieval and natural language processing), artificial intelligence (machine learning for cognitive neuroscience), chemistry (pattern recognition and chemometrics) and biophysics (machine learning and optimal control).

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

- Exceptional students who choose this specialisation have the opportunity to study for a double degree in Computing Science together with the specialisation in Web and Language Interaction (Artificial Intelligence). This will take three instead of two years.

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

Admission requirements for international students

- A proficiency in English

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

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

- IELTS score of >6.5

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

Career prospects

A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data:

- To come up with a creative and useful solution.

- To find or program the right tool to turn the data into knowledge.

- To communicate the obtained findings to others.

By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.

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

Examples of companies where our graduates end up include SMEs like Orikami, Media11 and FlexOne, and multinationals like ING Bank, Philips, ASML, Capgemini, Booking.com and perhaps even Google.

Our approach to this field

Data nowadays plays a role in almost every scientific discipline as well as industry and is rapidly becoming a key driver of scientific discoveries, business innovation, and solutions for societal challenges such as better healthcare. Medical scientists are sequencing and analysing human genomes to uncover clues to infections, cancer, and other diseases. With huge telescopes, astronomers generate terabytes of data per hour to study the formation of galaxies and the evolution of quasars. Businesses like Google and Amazon are sifting social networking and user preference data to fulfill desires we don't even know we have. Police employing seismology-like data models can predict where crimes will occur and prevent them from happening.

It is then with good reason that data science has been called the sexiest job of the 21st century. Many companies complain about the difficulty to find skilled data scientists and predict this to be even harder in the future. A professional data scientist has fine problem-solving, analytical, programming, and communication skills. He or she applies those skills to analyse a problem in the light of the available real-world data, to come up with a creative and useful solution, to find or program the right tool to turn the data into knowledge, and to communicate the obtained findings to others. By combining data, computing power and human intellect, data scientists can make a real difference to help and improve our society.

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

Radboud University Master's Open Day 10 March 2018



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The main focus of this Research Master is to train students to become independent researchers. For this purpose, a large proportion of the programme is devoted to two research projects in which the students are embedded in successful research groups to conduct their own research. Read more
The main focus of this Research Master is to train students to become independent researchers. For this purpose, a large proportion of the programme is devoted to two research projects in which the students are embedded in successful research groups to conduct their own research.

The programme offers three tracks:
- Animal and Human Behaviour (B-track);
- Cognitive Neuroscience and Cognitive Modelling (C-track);
- Molecular and Clinical Neuroscience (N-track).

You will become an expert in one of these fields. However, because of the integrated courses and links between these tracks you will also get a unique and truly multi-disciplinary training. The BCN Research Master is one of the the best Neuroscience MSc programmes of the Netherlands (Keuzegids Masters 2015/Dutch Higher Education Guide 2015).

Admission to the programme is highly selective and based on the applicants academic credentials as well as motivation. Every application is screened by the Admissions Board.

Why in Groningen?

- Excellent research facilities including University Medical Center Groningen (UMCG), NeuroImaging Center and Centre for Life Sciences
- More than 75% enrolment in PhD projects after graduation
- Integrated teaching by top researchers from three faculties in small groups

Job perspectives

As a graduate of this programme, you can work as a researcher, both in the academic world and other fields. Because of their multi-disciplinary training, graduates of this degree positively distinguish themselves: you can easily grasp the bigger picture and are able to familiarize yourself with new fields and methodologies quickly.

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