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The aim of the Masters degree in Intelligent Systems is to convey knowledge and skills that enable students to analyse, design and develop complex cognitive systems. Such cognitive systems are characterised by the fact that they can perceive their environment and react accordingly in an intelligent manner. Another significant feature of these masters in intelligent systems is their ability to learn and to thereby adapt to complex and changing environments, requirements and users. Such systems are especially relevant in the areas of robotics, virtual agents, multimedia and web information systems. Students are guided increasingly to work independently following scientific principles and methodologies. The intelligence masters program is explicitly designed to convey practical skills and abilities.
Industry, service providers, and intelligent systems research create a large demand for computer science specialists with an interdisciplinary training as facilitated at Bielefeld University. Computer science specialists with a background in Intelligent Systems are needed urgently in all areas where robots, intelligent assistants, virtual agents (avatars) or intelligent information systems are being developed. Possible areas of employment are therefore e.g. in mechanical engineering, production, the automobile industry, the media as well as in the development of autonomous systems (robots, avatars, dialogue systems, intelligent assistants), the computer game industry and scientific research.
Bachelor’s degree (or equivalent) in informatics
40 ECTS in computer science foundations
30 ECTS in computer science subjects related to Intelligent Systems
- Your transcript of records
- Your CV
As education is fully subsidised by the government, there are no tuition fees at public universities in North Rhine-Westphalia.
About The Masters in Intelligent Systems
The aim of the Master’s programme Intelligent Systems is to convey knowledge and skills that enable students to analyse, design, and develop complex cognitive systems. Students are guided to work increasingly independently following scientific principles and methodologies. The programme is explicitly designed to convey practical skills and abilities.
- First semester
- Advanced Intelligent Systems
- Interdisciplinary and Cognitive Foundations
- Second semester
- Advanced Intelligent Systems
- Interdisciplinary and Cognitive Foundations
- Basic Project Intelligent Systems
- Third semester
- Advanced Intelligent Systems
- Interdisciplinary and Cognitive Foundations
- individual choice
- Fourth semester
- Master’s thesis
Master of Technology in Intelligent Systems
The NUS Master of Technology in Intelligent Systems programme is targeted at working professionals who wish to be able to design and build systems that utilise Artificial Intelligence and other Smart Systems techniques. Application areas are wide and diverse, and include robotics, autonomous vehicles, intelligent sensing systems, Internet of Things, Smart City applications and Industry 4.0 applications, as well as applications within business and commerce.
The MTech IS programme emphasises the concepts, techniques and methods of Artificial Intelligence, and their application to the development of Intelligent Systems applications. The programme provides you with the essential knowledge and practical experience needed to become an Artificial Intelligence and Intelligent Systems specialist, and prepares you to be able to lead the development of Intelligent Systems in providing effective and optimal business solutions for your organisation.
- Apply Intelligent Systems concepts, techniques and methods to solve varied problems across multiple domains including: business, manufacturing, engineering, healthcare etc.
- Lead the development of Intelligent Systems using contemporary tools and techniques, including Artificial Intelligence, Machine Learning, Prediction, Forecasting, Classification, Clustering and Optimisation
- Design and customise algorithms to solve complex business problems and create strategic advantage
- Top student is awarded the SPH Medal and Prize
- Best Project Prize
Intelligent Systems Computer Science
Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Intelligent systems can take many forms, from automated vacuums such as the Roomba to facial recognition programs to Amazon’s personalized shopping suggestions.
Our department focuses on two main areas within intelligent systems: how machines perceive their environment and how those machines interact with that environment.
One way that such systems can perceive their environment is through vision. The study of how computers can understand and interpret visual information from static images and video sequences emerged in the late 1950s and early 1960s. It has since grown into a powerful technology that is central to the country’s industrial, commercial, and government sectors. The key factors that have contributed to this growth are the exponential growth of processor speed and memory capacity as well as algorithmic advances.
The field of intelligent systems also focuses on how these systems interact with human users in changing and dynamic physical and social environments. Early robots possessed little autonomy in making decisions: they assumed a predictable world and perfumed the same action(s) repeatedly under the same conditions. Today, a robot is considered to be an autonomous system that can sense the environment and can act in a physical world in order to achieve some goals.
Applications of intelligent systems
Intelligent systems are poised to fill a growing number of roles in today’s society, including:
- Factory automation
- Field and service robotics
- Assistive robotics
- Military applications
- Medical care
- Visual inspection
- Character recognition
- Human identification using various biometric modalities (e.g. face, fingerprint, iris, hand)
- Visual surveillance
- Intelligent transportation
Challenges in Intelligent Systems
Research in intelligent systems faces numerous challenges, many of which relate to representing a dynamic physical world computationally.
- Uncertainty: Physical sensors/effectors provide limited, noisy and inaccurate information/action. Therefore, any actions the system takes may be incorrect both due to noise in the sensors and due to the limitations in executing those actions.
- Dynamic world: The physical world changes continuously, requiring that decisions be made at fast time scales to accommodate for the changes in the environment.
- Time-consuming computation: Searching for the optimal path to a goal requires extensive search through a very large state space, which is computationally expensive. The drawback of spending too much time on computation is that the world may change in the meantime, thus rendering the computed plan obsolete.
- Mapping: A lot of information is lost in the transformation from the 3D world to the 2D world. Computer vision must deal with challenges including changes in perspective, lighting and scale; background clutter or motion; and grouping items with intra/inter-class variation.
Studying Intelligent Systems
Students who want to study intelligent systems will need to be able to understand and integrate knowledge from various subject areas including:
- Data structures
- Pattern recognition
- Machine learning
- Artificial intelligence
- Numerical methods
In addition, math skills are very important. You will use trigonometry, linear algebra, and calculus on a regular basis. Statistics and probability are also fundamental skills for all intelligent systems disciplines. Getting proficient with Linux is good to do as well.
Internship & employment opportunities in intelligent systems
Currently there is strong industry demand for people who understand intelligent systems technology and know how to apply it to real-world problems. Graduates in this area can work in academia, national and government labs, and industry companies such as Google, Microsoft, Intel, IBM).
Advanced Computer Science (Artificial Intelligence) – MSc
From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. This programme will equip you with specialist knowledge in this exciting field and allow you to explore a range of topics in computer science.
Core modules will give you a foundation in topics like systems programming and algorithms, as well as the basics of machine learning and knowledge representation. You’ll also choose from optional modules focusing on topics like bio-inspired computing or text analytics, or broaden your approach with topics like mobile app development.
You’ll gain a broad perspective on intelligent systems, covering evolutionary models, statistical and symbolic machine learning algorithms, qualitative reasoning, image processing, language understanding and bio-computation as well as essential principles and practices in the design, implementation and usability of intelligent systems.
You’ll benefit from world-class facilities to support your learning, including:
- a state-of the art cloud computing lab with a 10-node cluster
- a large High Performance Computing (HPC) resource consisting of several clusters which are used for all forms of predictive modelling, data analysis and simulation
- a visualisation lab including a Powerwall, benchtop display with tracking system, WorldViz PPT optical tracking system and Intersense InertiaCube orientation tracker
- Ascension Flock of Birds tracking systems, three DOF and 6DOF Phantom force feedback devices
- Twin Immersion Corp CyberGloves
- rendering cluster and labs containing both Microsoft and Linux platforms, among others
It’s an exciting environment in which to gain a range of skills and experience cutting-edge technology.
Core modules in Semester 1 will lay the foundations of the programme by giving you an understanding of the key topics of algorithms and systems programming, as well as the basic principles of automated reasoning, machine learning and how computers can be made to represent knowledge.
From there you’ll have the chance to tailor your studies to suit your own preferences. You’ll choose from a wide range of optional modules on diverse topics such as image analysis, cloud computing, graph theory and developing mobile apps.
Over the summer months you’ll also work on your research project. This gives you the chance to work as an integral part of one of our active research groups, focusing on a specialist topic in computer science and selecting the appropriate research methods.
Learning and teaching
Our groundbreaking research feeds directly into teaching, and you’ll have regular contact with staff who are at the forefront of their disciplines. You’ll have regular contact with them through lectures, seminars, tutorials, small group work and project meetings.
Independent study is also important to the programme, as you develop your problem-solving and research skills as well as your subject knowledge.
On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.
You’ll be assessed using a range of techniques including case studies, technical reports, presentations, in-class tests, assignments and exams. Optional modules may also use alternative assessment methods.
Computing is an essential component of nearly every daily activity, from the collection and processing of information in business, through to smart systems embedded in devices, image processing in medical diagnosis and the middleware that underpins distributed technologies like cloud computing and the semantic web.
This programme will give you the practical skills to enter many areas of applied computing, working as application developers, system designers and evaluators. Links between the taught modules and our research provide our students with added strengths in artificial intelligence, intelligent systems, distributed systems, and the analysis of complex data. As a result, you’ll be well-prepared for a range of careers, as well as further research at PhD level.
Graduates have found success in a wide range of careers working as business analysts, software engineers, web designers and developers, systems engineers, information analysts and app developers. Others have pursued roles in consultancy, finance, marketing and education, or set up their own businesses.
You’ll have access to the wide range of engineering and computing careers resources held by our Employability team in our dedicated Employability Suite. You’ll have the chance to attend industry presentations book appointments with qualified careers consultants and take part in employability workshops. Our annual STEM Careers Fairs provide further opportunities to explore your career options with some of the UKs leading employers.
The professional project is one of the most satisfying elements of this course. It allows you to apply what you’ve learned to a piece of research focusing on a real-world problem, and it can be used to explore and develop your specific interests.
Recent projects for MSc Advanced Computer Science (Intelligent Systems) students have included:
- Object-based attention in a biologically inspired network for artificial vision
- Advanced GIS functionality for animal habitat analysis
- Codebook construction for feature selection
- Learning to imitate human actions
A proportion of projects are formally linked to industry, and can include spending time at the collaborator’s site over the summer.
A bachelor degree with a 2:1 (hons) in computer science. Other Computing based degrees may be considered on a case by case basis.
We require all applicants to have studied a breadth of relevant modules including significant programming, systems development, data structures and algorithms, with strong marks across all these modules.
Relevant work experience will also be considered.
Software Engineering and Information Systems – MSc
The international master’s degree program in Software Engineering and Information Systems (previously known as Software, Systems and Services Development in the Global Environment) is a two-year program.
- A solid foundation of software engineering and information systems methods and technologies
- Understanding of software ecosystems
- Understanding of user-oriented products and services
The degree programme in Software Engineering and Information Systems (previously known as Software, Systems and Services Development in the Global Environment) is focused on software-based information and communication technology solutions for solving emerging global societal challenges. The programme will provide the student with relevant, up-to-date skills and capabilities to have a successful future career as a software and ICT expert or manager in a global company or other organization. The graduating students will have skills to lead multicultural teams, projects and units as well as capabilities to maintain and update their knowledge in the rapidly developing field. You will also get skills to lead multicultural teams, projects and units.
The programme is dedicated to training world-class experts in two focus areas: Software Engineering and Information Systems.
The Software Engineering orientation is focused on professional software development approaches for novel innovative systems and services in the rapidly changing and interconnected world.
The Software Engineering orientation covers the following topics:
- software development, maintenance and operations
- professional software engineering processes and human factors
- advanced software quality and security
- software platforms and ecosystems
- software for intelligent systems and artificial intelligence (AI)
- software-defined products, systems and services
The Information Systems orientation emphasises the applications of software systems and ICT solutions. The idea is to find ways to improve organizations and to harness technology to best serve human endeavours and enable innovation.
The Information Systems orientation includes these topics:
- digitalisation and innovation
- servitisation, co-creation and business development
- user experience (UX) design and management
- societal and individual impacts of information systems
- creating domain value with data
- information systems strategy and leadership
Students can further widen their expertise based on personal interests through these specialisation options:
Software Engineering Specialisation
- software engineering research
- next generation software engineering
Human-Centred Design and User Experience Specialisation
- advanced topics in digital cultures and design
- user experience (UX) and usability evaluation
Persuasive Design and Gamification Specialisation
- persuasive systems design
- ICT and behaviour change
ICT is a highly international field and the programme reflects that as a study environment. Students gain experience on multi-cultural working during their studies and both staff and the students represent diversity. The degree programme has strong traditions and good experiences in collaboration with companies in the information industry. The studies have been designed with the working life in mind and it means that practical exercises and projects are conducted in collaboration with companies.
The project work at the end of Master’s level studies integrates the studies and is ordered and steered by a company or a research unit. The Master’s thesis is typically made for a company and will have a real-world basis as its thrust. The Oulu area is a major high-tech hub with a long history in researching and developing information and communication technologies. The University of Oulu is well-respected and a degree from it is highly regarded. The University is known for its ground-breaking research in many areas, such as the 6G Flagship project, a multi-year effort in researching next-generation communications technology beyond 5G. The education is kept relevant and up-to-date by collaborating closely with the industry, and visiting lecturers from industry are invited to courses.
The graduates will acquire solid academic training and essential knowledge and skills to analyse, evaluate and develop solutions related to, for example:
- AI and Intelligent Systems
- dynamics of the software business environment
- human activities in IT use situations
- software products and processes
- digitalisation and digital transformation
“We are developing unique technical leadership skills on a global scale, which will prepare us to build a career in any international IT organization”
Graduates have the capability to act as independent experts in goal-oriented projects and manage professionally projects in global ICT companies.
Possible titles include:
- Project Manager
- Team Leader
- Chief Technology Officer
- Chief Information Officer
- Software Designer/Developer
- User Experience Designer
- Lead Developer
- Senior Software Engineer
- Full-Stack Developer
- Product Owner, Product Manager
- Business Analyst
- Digital Consultant
- Digital Transformation Leader
- Solution Designer
- Data Scientist
- AI Developer.
Students applying for the programme must possess an applicable B.Sc. degree in one of the following fields of study: Software Engineering, Information Systems, Computer Science, Information Technology, Computer Engineering, or nearby studies.