This Master will train you to become an expert in the development and up-front professional use of computer and software systems. Nowadays, these systems are indispensable in nearly all areas of our society: in industry, the public sector, health and many social applications for end users. They are also the most complex systems ever created by humans.
The programme will teach you to specify, design, implement, test and maintain advanced software systems. It will teach you how to handle complexity and how to deal with diverse requirements such as functionality, reliability, user friendliness, security, reliability, intelligence, efficiency and cost.
You will acquire all the necessary skills to tackle complex research questions, formulate your own research goals, and successfully achieve them.
You will be trained in communication skills and stimulated to acquire a broad societal view on the relevance of computer science and technology today.
The programme is structured around a mandatory core (42 credits) of which 18 credits are dependent on the Bachelor’s track followed by the incoming student. This core focuses heavily on software development, and is the main foundation of the programme.
You can choose between two advanced specialization areas: software security or artificial intelligence. In both specializations, you will conduct your own research and develop novel technology, guided by top-experts in the international research community.
The Master’s thesis covers 24 credits, and is started at the beginning of the second stage.
General education courses (12-14 credits) cover a wide variety of topics such as advanced language courses, economy, law, advanced mathematic courses. All students have the additional option to complete their programme with any course offered by the university (6 credits).
At the Faculty of Engineering Science, students are given the opportunity to complete one or two semesters of their degree within the Erasmus+ programme at a European university, or a university outside Europe.
Students are also encouraged to carry out industrial and research internships abroad under supervision of the departmental Internship Coordinator. These internships take place between the third Bachelor’s year and the first Master’s year, or between the two Master’s years.
Other study abroad opportunities are short summer courses organised by the Board of European Students of Technology (BEST) network or by universities all over the world.
The Faculty of Engineering Science is also member of the international networks CESAER, CLUSTER and ATHENS, offering international opportunities as well.
More information on the international opportunities at the faculty is available on the website.
The programme, courses, and areas of specialisation are strongly linked to the research groups. This guarantees a state-of-the-art education in the field of computer science. Research activities (e.g. Master’s thesis) also form part of a student’s curricula.
A significant number of courses are focused on industry-relevant skills and content. The amount of industry-related research projects in the department of computer science allows us to include relevant content in our courses.
The 2015 student survey indicated that the following aspects of our programme score very high: structure of the programme, electives, theoretical foundations, research & scientific content, quality of teaching staff, overall logistics.
This is an initial Master's programme and can be followed on a full-time or part-time basis.
Software engineers can be found in nearly all sectors of society. Software is a crucial component in all industrial processes, in the service and entertainment industry, and in our society as a whole. Masters of Computer Science are active in the software-development industry as well as in telecommunication and other industries. Many of our graduates work in hospitals, in the banking sector, in social organisations, and for the government as heads of ICT.
Working at a frontier of mathematics that intersects with cutting edge research in physics.
Mathematicians can benefit from discoveries in physics and conversely mathematics is essential to further excel in the field of physics. History shows us as much. Mathematical physics began with Christiaan Huygens, who is honoured at Radboud University by naming the main building of the Faculty of Science after him. By combining Euclidean geometry and preliminary versions of calculus, he brought major advances to these areas of mathematics as well as to mechanics and optics. The second and greatest mathematical physicist in history, Isaac Newton, invented both the calculus and what we now call Newtonian mechanics and, from his law of gravity, was the first to understand planetary motion on a mathematical basis.
Of course, in the Master’s specialisation in Mathematical Physics we look at modern mathematical physics. The specialisation combines expertise in areas like functional analysis, geometry, and representation theory with research in, for example, quantum physics and integrable systems. You’ll learn how the field is far more than creating mathematics in the service of physicists. It’s also about being inspired by physical phenomena and delving into pure mathematics.
At Radboud University, we have such faith in a multidisciplinary approach between these fields that we created a joint research institute: Institute for Mathematics, Astrophysics and Particle Physics (IMAPP). This unique collaboration has lead to exciting new insights into, for example, quantum gravity and noncommutative geometry. Students thinking of enrolling in this specialisation should be excellent mathematicians as well as have a true passion for physics.
See the website http://www.ru.nl/masters/mathematics/physics
- This specialisation is one of the few Master’s in the world that lies in the heart of where mathematics and physics intersect and that examines their cross-fertilization.
- You’ll benefit from the closely related Mathematics Master’s specialisations at Radboud University in Algebra and Topology (and, if you like, also from the one in Applied Stochastics).
- Teaching takes place in a stimulating, collegial setting with small groups. This ensures that at Radboud University you’ll get plenty of one-on-one time with your thesis supervisor.
- You partake in the Mastermath programme, meaning you can follow the best mathematics courses, regardless of the university in the Netherlands that offers them. It also allows you to interact with fellow mathematic students all over the country.
- As a Master’s student you’ll get the opportunity to work closely with the mathematicians and physicists of the entire IMAPP research institute.
- More than 85% of our graduates find a job or a gain a PhD position within a few months of graduating. About half of our PhD’s continue their academic careers.
Mathematicians are needed in all industries, including the industrial, banking, technology and service industry and also within management, consultancy and education. A Master’s in Mathematics will show prospective employers that you have perseverance, patience and an eye for detail as well as a high level of analytical and problem-solving skills.
The skills learned during your Master’s will help you find jobs even in areas where your specialised mathematical knowledge may initially not seem very relevant. This makes your job opportunities very broad indeed and is why many graduates of a Master’s in Mathematics find work very quickly.
Possible careers for mathematicians include:
- Researcher (at research centres or within corporations)
- Teacher (at all levels from middle school to university)
- Risk model validator
- ICT developer / software developer
- Policy maker
Radboud University annually has a few PhD positions for graduates of a Master’s in Mathematics. A substantial part of our students attain PhD positions, not just at Radboud University, but at universities all over the world.
The research of members of the Mathematical Physics Department, emphasise operator algebras and noncommutative geometry, Lie theory and representation theory, integrable systems, and quantum field theory. Below, a small sample of the research our members pursue.
Gert Heckman's research concerns algebraic geometry, group theory and symplectic geometry. His work in algebraic geometry and group theory concerns the study of particular ball quotients for complex hyperbolic reflection groups. Basic questions are an interpretation of these ball quotients as images of period maps on certain algebraic geometric moduli spaces. Partial steps have been taken towards a conjecture of Daniel Allcock, linking these ball quotients to certain finite almost simple groups, some even sporadic like the bimonster group.
Erik Koelink's research is focused on the theory of quantum groups, especially at the level of operator algebras, its representation theory and its connections with special functions and integrable systems. Many aspects of the representation theory of quantum groups are motivated by related questions and problems of a group representation theoretical nature.
Klaas Landsman's previous research programme in noncommutative geometry, groupoids, quantisation theory, and the foundations of quantum mechanics (supported from 2002-2008 by a Pioneer grant from NWO), led to two major new research lines:
1. The use of topos theory in clarifying the logical structure of quantum theory, with potential applications to quantum computation as well as to foundational questions.
2. Emergence with applications to the Higgs mechanism and to Schroedinger's Cat (aka as the measurement problem). A first paper in this direction with third year Honours student Robin Reuvers (2013) generated worldwide attention and led to a new collaboration with experimental physicists Andrew Briggs and Andrew Steane at Oxford and philosopher Hans Halvorson at Princeton.
See the website http://www.ru.nl/masters/mathematics/physics
This Joint Degree between HEC Paris and Ecole Polytechnique will equip students with both the technical skills and the strategic mindset to lead successfully any business career requiring a strong expertise in Big Data.
Their association within this Joint Degree represents the best Business/Engineering combination Europe could possibly offer, with extraordinary added value for the students who will follow this program in Data Science and Business.
Big data marks the beginning of a major transformation of the digital economy, which will significantly impact all industries. There are three main challenges to face:
Exploiting this vast amount of data requires the following:
Therefore the program has three objectives:
Students will benefit not only from the close ties that HEC Paris has developed with the business world but also those of Ecole Polytechnique, through various networking events, conferences and career fairs.
The HEC Alumni network alone, consists of more than 52,300 members in 127 countries.
The key aim of the teaching in this Joint Degree is to provide students with the tools needed to solve real problems, using structured and unstructured data masses, teaching them to ask the ‘right’ questions (both from statistics and ‘business’ perspectives), to use the appropriate mathematical and IT tools to answer these questions.
Students will be equipped to shift constantly from data to knowledge, from knowledge to strategic decision, and from strategic decision to operational business implementations.
All these shifts carry with them numerous challenges that each require an interdisciplinary approach involving mathematics, IT, business strategy, and management skills.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Nanoscience to Nanotechnology at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
The Master's course in Nanoscience to Nanotechnology utilises facilities that include a state-of-the-art nanotechnology laboratory suite (500m2) housing cutting-edge fabrication and characterisation facilities.
The growth of nanotechnology is one of the most exciting developments in science and engineering in recent years. Much of the research in this field is interdisciplinary in nature, drawing expertise from different areas across the life science, physical science and engineering disciplines.
The MSc Nanoscience to Nanotechnology course covers the techniques necessary for scientific investigation at these very small dimensions, and the very latest research developments in this rapidly evolving area.
As a student on the MSc Nanoscience to Nanotechnology course, you be able to comprehend the fundamental principles of physics and engineering, which have consequences for nanotechnology, and to gain an understanding of how the general concepts of scientific research are transferred to engineering applications and products.
This MSc Nanoscience to Nanotechnology course will also enable you to apply appropriate techniques for designing, imaging and evaluating nanostructures, whilst gaining a knowledge of mathematic models and their application within a research project through interpreting quantitative and qualitative data.
As a student on the MSc Nanoscience to Nanotechnology course, you will cover a broad range of subject areas, from the latest semiconductor fabrication technology through to biological and medical applications, with the emphasis throughout on characterisation and control of materials on the nanoscale.
Modules on the Nanoscience to Nanotechnology course may include:
Colloid and Interface Science
Communication Skills for Research Engineers
Wide Band-gap Electronics
Strategic Project Planning
Probing at the Nanoscale
Nanoscale Structures and Devices
Principles of Nanomedicine
Micro and Nano Electro-Mechanical Systems
The MSc inNanoscience to Nanotechnology is modular in structure. Students must obtain a total of 180 credits to qualify for the degree. This is made up of 120 credits in the taught element (Part One) and a project (Part Two) that is worth 60 credits and culminates in a written dissertation. Students must successfully complete Part One before being allowed to progress to Part Two.
Part-time Delivery mode
The part-time scheme is a version of the full-time equivalent MSc in Nanoscience to Nanotechnology scheme, and as such it means lectures are spread right across each week and you may have lectures across every day. Due to this timetabling format, the College advises that the scheme is likely to suit individuals who are looking to combine this with other commitments (typically family/caring) and who are looking for a less than full-time study option.
Those candidates seeking to combine the part-time option with full-time work are unlikely to find the timetable suitable, unless their job is extremely flexible and local to the Bay Campus.
Timetables for the Nanoscience to Nanotechnology programme are typically available one week prior to each semester.
Work within the Multidisciplinary Nanotechnology Centre places a strong emphasis on the development of applications-driven research and the transfer of technology from the laboratory to the work place or health centre. Interaction with industry is therefore a key component of the Centre’s strategy and we have collaborated with major multinational companies such as Agilent, Boots and Sharp, as well as a number of smaller Welsh-based companies.
As a student on the MSc Nanoscience to Nanotechnology course, you will be provided with the qualities needed for employment in technology or higher research degrees requiring the exercise of initiatives, specialist knowledge, personal responsibility and decision making in complex and unpredictable contexts.
This MSc Nanoscience to Nanotechnology course is suitable for those who want to develop an understanding of the techniques available to fabricate and investigate nanoscale structures, and develop arguments and make judgements based on fundamental concepts of nanoscale engineering.
The new home of the Nanoscience to Nanotechnology course is at the innovative Bay Campus provides some of the best university facilities in the UK, in an outstanding location.
The Research Excellence Framework (REF) 2014 ranks Engineering at Swansea as 10th in the UK for the combined score in research quality across the Engineering disciplines.
The REF assesses the quality of research in the UK Higher Education sector, assuring us of the standards we strive for.
The REF shows that 94% of research produced by our academic staff is of World-Leading (4*) or Internationally Excellent (3*) quality. This has increased from 73% in the 2008 RAE.
Research pioneered at the College of Engineering harnesses the expertise of academic staff within the department. This ground-breaking multidisciplinary research informs our world-class teaching with several of our staff leaders in their fields.
"I found that the MSc in Nanotechnology covered a broad range of topics. This really opened my mind to the potential possibilities of the field and to consider future careers in areas that I had not previously thought of. This course has allowed me to find the right area of research to continue to a PhD."
Chris Barnett, MSc Nanoscience to Nanotechnology
April 2018: Please note that this course has been in high demand and is not currently accepting additional applications for 2018 entry. We suggest you consider our Urban Informatics MSc course, which is still accepting 2018 applications. (Urban Informatics is a growing discipline which uses data to understand how cities function and to influence their growth)
The Data Science MSc is an interdisciplinary study programme that will provide you with advanced technical and practical skills in the collection, collation, curation and analysis of data. It also examines the professional, legal and ethical responsibilities of data scientists. This is an ideal study pathway for graduates with a background in quantitative subjects, or who possess relevant work experience in the current methods and techniques of data science.
The Data Science MSc degree will provide you with the practical skills needed to effectively assemble, collate, store, manage and analyse data required for data science projects and the critical judgement to decide the appropriate statistical and computational data modelling and analysis techniques to evaluate data science activities and projects. You will study the computational approaches and techniques used to examine mathematical statistics, as well as developing an appreciation for the professional, ethical and legal responsibilities of the data scientist, along with standard conceptual or scientific models in at least one domain of application of data science. 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.
The purpose of this degree programme is to train graduates from quantitative disciplines or with relevant quantitative work experience in current methods and techniques of data science, particularly the science of large-scale data collections. These methods and techniques include both computational techniques and methods from mathematical statistics. The MSc will also provide you with an appreciation for the professional, ethical and legal responsibilities of the data scientist, along with standard conceptual or scientific models in at least one domain of application of data science. Your individual project will typically aim to apply these methods to a problem in a specific application domain, and provide valuable preparation for a career in research or industry.
Lectures; tutorials; seminars; laboratory sessions; optional career planning workshops. Assessed through: coursework; written examinations; final project report.
Via the Department’s Careers Programme, students are able to network with top employers and obtain advice on how to enhance career prospects.