The Master of Applied Science (MAppSc) is a 180-point, coursework postgraduate degree. A candidate would normally be a graduate but the degree is also open to those with other relevant qualifications.
The MAppSc is designed for students who wish to pursue an interdisciplinary programme of study underpinned by science that delivers versatile skills relevant to multiple end-users. Optional paths are available that enphasize commercialisation, workplace-based projects or independent study.
The MAppSc can be completed in 12 months or in stages, providing flexibility for recent graduates and those currently employed.
View the list of subjects offered for the Master of Science (MSc) and the Master of Applied Science (MAppSc).
The programme of study:
-shall consist of approved papers at 400-level or higher worth at least 180 points, selected from the papers specified in Science Schedule D for the Master of Applied Science subject concerned, and including at least one of APPS 596-598
-shall normally include papers from more than one subject.
-may, with the approval of the Head of Department or Course Director concerned, include papers worth up to 60 points from 400- and 500-level papers other than those specified in Schedule D.
-A candidate who has completed the requirements for the Postgraduate Certificate or the Postgraduate Diploma in Applied Science shall be exempted from those papers in the programme for the degree which have previously been passed for the certificate or diploma.
This two-year master’s programme Computer Science offers stimulating, significant and innovative research at an internationally renowned institute and combines theoretical, experimental and applied approaches.
The two-year master’s programme in Computer Science offers six specialisations which combine excellent theoretical teaching with possibilities for applied work with industrial relevance. This is achieved by intensive collaboration with companies at the Leiden Centre of Data Science. Course themes include topics such as Evolutionary Algorithms, Neural Networks, Databases and Data Mining, Swarm-Based Computation, Bayesian Networks, Multimedia Systems, Embedded Systems and Software, Advanced Compilers and Architectures, Bio-Modeling and Petri Nets.
Read more about our Computer Science programme.
Find more reasons to choose Computer Science at Leiden University.
The programme is open for students with an internationally recognized bachelor’s degree in computer science or equivalent. You will be trained as an independent researcher, equipped with the necessary skills to advance your career as a computer scientist.
Read more about the entry requirements for Computer Science.
Students will gain deep knowledge and skills in cutting-edge computational techniques for real world science and engineering applications to meet industry demand.
The Applied Computational Science and Engineering MSc will educate future domain-specialists in computational science. This course will expand your knowledge of numerical methods, computational science, and how to solve large scale problems by applying novel science and engineering approaches. It is suitable for graduates of disciplines including mathematics and physical sciences, geophysics and engineering, and computer science.
Students will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills that are desired by employers.
The study programme consists of eight taught modules, and one individual research project which accounts for one third of the study programme.
Modern programming methods
Modelling dynamical processes
Applying computational science
Patterns for parallel programming
Inversion and optimisation
Term 3 (summer)
This immersive, hands-on MSc course will enable students to develop their skills and techniques for a range of science and engineering applications utilising High Performance Computing resources. Students will learn alongside world-class researchers in the Department of Earth Science and Engineering. There will be a strong emphasis on high productivity problem solving using modern computational methods and technologies, including computer code development and parallel algorithms.
Applicants who want to pursue analytical careers in industry geoscience and engineering are a target for this course. Graduates will develop the skills necessary to enter the modern industrial workforce. This MSc will also prepare for your PhD studies in fields such as computational techniques, simulation, numerical modelling, optimisation and inversion, heat transfer, and machine learning applications.
The Applied Computational Science and Engineering MSc programme will ensure that students are able to apply appropriate computational techniques to understand, define and develop solutions to a range of science and engineering problems. You will have the chance to participate in individual and group research projects as well as to write reports and present technical work, developing the project management and numerical skills desired by employers.
Duration: 1 year full-time
Start Date: October 2018
Campus: South Kensington, London
ECTS: 90 Credits
Please contact Postgraduate Education Manager, Samantha Symmonds, with any queries: [email protected]
The Applied Computational Science and Engineering MSc is subject to College approval.
The Bond University Master of Sports Science is designed to develop specialist knowledge and skills relating to strength and conditioning and high performance science of elite athletes.
The program is suitable for graduates in exercise and sports science aspiring for a career in high performance sport, or for established professionals such as domestic and international strength and conditioning coaches, or high performance managers seeking professional updates.
This unique program places a strong emphasis on comprehensive practical experience and industry immersion, including a two semester full-time professional internship under the mentorship of a sports scientist.
Completed in only 1 year and 4 months (4 semesters), the first two semesters are comprised of specialist on-campus coursework, followed by the internship which incorporates applied sports science /strength and conditioning practice and a research component. This component is undertaken within a professional or semi-professional sporting organisation with whom Bond University has agreements for student internships. Alternatively, students may elect to undertake their internship with an external organisation or employer relative to their field of work, with prior approval from Bond University.
The program will culminate with the submission of a peer-reviewed manuscript that may be eligible for publication, providing an additional pathway for you to progress to further postgraduate research.
The program provides you with exposure to authentic high performance sports science learning both on campus and in industry. The coursework component is delivered primarily at the world-class Bond Institute of Health & Sport, where you will gain exceptional, high-quality practical experience in our high performance gym, health science laboratories and sports science research laboratories. You will have access to specialised technology used in research to deliver a wide range of athlete testing and performance analysis. These facilities provide sports science testing and training services to a variety of elite and sub-elite athletes, providing an exceptional learning experience.
The Master of Sports Science will enable you to apply knowledge and practical experience in high performance sports science across all levels of national and international sport.
Possible career opportunities include, but are not limited to:
Successful graduates may be eligible to progress to further post graduate research, leading to potential career options in research organisations and academia.
The Master of Sports Science consists of a specialised coursework and integrated research and internship model.
You must complete all of the following subjects:
*Subject names and structure may change
The Master of Sports Science program uses a teaching methodology that involves a combination of lectures, tutorials, seminars, examinations, projects, presentations, assignments, computer labs and industry projects. Examination formats may include objective structure practical examinations, theory papers, assignments and oral presentations. The program will culminate with the submission of a peer-reviewed manuscript that may be eligible for publication.
During coursework, you will be primarily located at the Bond Institute of Health and Sport, within the Cbus Stadium sporting precinct at Robina.
A unique feature of this program is the completion of an integrated professional placement and internship, under the mentorship of a sports scientist. This internship is completed full-time for 2 semesters, at a minimum of 500 hours with an elite sport organisation.
Bond University has affiliations with national and international elite sporting organisations and professional sports teams.
* Students intending to apply should be aware of the following: You may be required to attend internships with organisations in locations other than the Gold Coast region.These placements may involve additional associated costs (i.e. accommodation and travel) for which you will be responsible.
Bond University has a burgeoning profile in health and sports science research. Major investment in infrastructure including the ‘Bond Institute of Health and Sport’ have fostered collaborations between ‘bench top’ scientists and practitioners, providing opportunities for innovative research.
Bond University is the lead institution for the Collaborative Research Network (CRN) for Advancing Exercise and Sports Science CRNAESS). The CRN-AESS brings together partners from key research and sports science institutions including the Australian Institute of Sport building research capacity and excellence in exercise and sports science, human genetics and bioinformatics, to better understand health, human performance and injury management.
There is a big demand for applied data scientists in all disciplines in society, where data is being used for research, decision-making and customer interaction. Data scientist is even being refered to as ‘the sexiest job of the 21st century’.
Do you have an obvious interest in data science and eagerness to apply this science within the health domain? The Applied Data Science Postgraduate Master’s programme trains you to be an expert in current and upcoming data science methods and techniques. You will be doing the full cycle of knowledge discovery research, both by following relevant courses and doing a research project.
This Master’s programme is for those who have a strong interest in, and affinity for, performing application-oriented research and the implementation of data science in the field of health. Our study programme enables you to apply state-of-the-art scientific concepts and techniques in the growing field of data analytics. You will prepare and organize data analytics in health care projects and contribute to innovation in the field of data science.
Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Data scientists help organisations make sense of their data. As data is collected and analysed in all areas of society, demand for professional data scientists is high and will grow higher. The emerging Internet of Things, for instance, will produce a whole new range of problems and opportunities in data analysis.
In the Data Science master’s programme, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science. In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience.
Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. In particular, you will be able to
The MSc programme is offered jointly by the Department of Computer Science, the Department of Mathematics and Statistics, and the Department of Physics, with support from the Helsinki Institute for Information Technology (HIIT) and the Helsinki Institute of Physics (HIP), all located on the Kumpula Science campus. In your applied data science studies you can also include multidisciplinary studies from other master's programmes, such as digital humanities, and natural and medical sciences.
Further information about the studies on the Master's programme website.
The Data Science MSc programme combines elements from computer science and mathematical sciences to provide you with skills in topics such as machine learning, distributed systems and statistical methods. You might also find that knowledge in a particular scientific field is useful for your future career. You can obtain this through elective studies in the MSc programme, or it might already be part of your bachelor-level degree.
Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.
Elective studies give you a wider perspective of Data Science. Your elective studies can be an application area of Data Science (such as physics or the humanities), a discipline that supports application of Data Science (such as language technology), or a methodological subject needed for the development of new Data Science methods and models (such as computer science, statistics, or mathematics).