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.
The cell is the building block of life, the smallest unit with the molecular characteristics of living systems. Increased knowledge of the mechanisms of the biomolecular and biochemical processes in the cell can lead to better medicines, new methods for combating diseases.
The basis of the two-year master’s programme in Life Science and Technology is formed by research carried out in the life sciences and chemistry groups of the Leiden Institute of Chemistry (LIC). Researchers take a science-based approach in finding tailored solutions for complex societal problems as encountered in personalized medicine, systems biology and sustainable use of biological sources. Starting from day one, and during the whole master programme you are a member of a research team in the LIC. Guided by a personal mentor, the student assembles a tailor-made educational programme for optimal training to become a life sciences professional.
Read more about our Life Science and Technology programme.
Find more reasons to study Life Science and Technology at Leiden University.
If you are interested in Life Science and you are looking for a programme with ample of opportunities to assemble your own study path, our Life Science and Technology programme is the right choice. The programme addresses societal problems on a molecular and cellular level. You can also choose a specialisation where you combine one year of Life Science and Technology research with one year of training in business, communication or education.
Read more about the entry requirements for Life Science and Technology.
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).
This programme gives you the opportunity to study the main contexts of contemporary science and technology; gain a broad base in science policy, communication, sociology and engagement; enjoy flexibility in specialisation; and work in an interdisciplinary environment with research experts.
The programme provides broad-based training in three disciplines: science policy and governance; science communication, engagement, and evaluation; and sociology of modern science and technology. This programme encourages specialised investigation. It also encourages interdisciplinary integration. Our degree works in dialogue with our sister MSc programme in History and Philosophy of Science, which adds historical and analytical depth to our offer.
MSc students undertake modules to the value of 180 credits.
The programme consists of one core module (15 credits), four optional modules (60 credits), three ancillary modules (45 credits) and a dissertation (60 credits)
Postgraduate Diploma students undertake modules to the value of 120 credits: one core (15 credits), four optional (60 credits), and three ancillary (45 credits), studied over one year.
Postgraduate Certificate students undertake modules to the value of 60 credits. The programme consists of one core module (15 credits), and three optional modules (45 credits), studied over one year.
Core module
Optional modules
Students must take three modules from a prescribed list of options including:
Dissertation/report
All MSc students undertake an independent research project which culminates in a dissertation of 10,000–12,000 words.
Teaching and learning
The programme is delivered through a combination of seminars, lectures, tutorials and research supervision. Student performance is assessed through coursework such as long and short essays, advocacy work, and project work.
Further information on modules and degree structure is available on the department website: Science, Technology and Society MSc
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Our programme provides essential training and study for students wishing to pursue PhD level study in several fields, and also provides appropriate training and qualifications sought by individuals pursuing careers in areas such as education, museum and archival curatorship, or administration and policy-making in science, engineering and health care.
Recent career destinations for this degree
Employability
The programme offers a range of transferable skills and networking opportunities. No matter whether your career plan looks towards the public or private sector, we can help you build a portfolio of skills and contacts that will give your CV the edge. Highlights of the programme include:
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
There is no UK academic department quite like UCL Science & Technology Studies. The department combines award-winning teaching with award-winning public engagement.
We are research active over an enormous range of topics. Our teaching builds on research not only in our subject specialties but also in the fundamentals of teaching and learning.
Our programme makes unique use of London’s attractions and resources. We have close links with the Science Museum, the National Maritime Museum, the Natural History Museum, the Wellcome Library, and UCL Museums & Collections. We also use the city as a classroom, with custom-made walking tours, site visits, and special excursions.
This programme offers breadth across a wide range of historical and philosophical themes. It also encourages intensive investigation and specialisation: a survey of nearly 3,000 years of scientific ideas and communities, and an exploration of the inner workings of science's methods and theories.
The programme provides broad-based training in the history of science, the philosophy of science, and an “integrated history and philosophy of science”. The historical coverage is broad, from antiquity to the present, while the philosophical coverage spans causality and the philosophy of medicine as well as the metaphysics of chemistry and computer science.
MSc students undertake modules to the value of 180 credits.
The programme consists of one core module (15 credits), four optional modules (60 credits), three ancillary modules (45 credits), and a dissertation (60 credits).
The Postgraduate Diploma programme consists of one core module (15 credits), four optional modules (60 credits) and three ancillary modules (45 credits), available in full time mode
The Postgraduate Certificate programme consists of one core module (15 credits) and three optional modules (45 credits), available in full time mode
Core modules
Optional modules
Students choose four options from the following:
In addition, students choose three ancillary modules which may be options from our degrees, or selected from any other programme at UCL.
Dissertation/research project
All MSc students undertake an independent research project which culminates in a dissertation of 10,000–12,000 words.
Teaching and learning
The programme is delivered through a combination of seminars, lectures, tutorials and research supervision. Student performance is assessed through coursework such as long and short essays, advocacy work and project work.
Further information on modules and degree structure is available on the department website: History and Philosophy of Science MSc
Our programme provides essential training for students wishing to pursue PhD level study in related fields. It also provides appropriate training for those pursuing careers in education, museum and archival curatorship, or governance and policy-making.
Recent career destinations for this degree
Employability
During the course of this programme, students will develop a wide range of transferable skills, including writing, research, critical thinking, and working in collaboration with others. Most graduates of this programme go on to follow careers that engage with the substance of the degree, including in the museums sector, or in academia. For these students, this programme provides an excellent opportunity to develop the specialist skills and personal connections necessary to succeed. These include basic curatorial skills, developing personal contacts in London museums, and developing personal and intellectual connections with key thinkers in the field.
Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.
There is no UK academic department quite like UCL Science & Technology Studies. The department combines award-winning teaching with award-winning public engagement.
We are research-active over an enormous range of topics. Our teaching builds on research not only in our subject specialties but also in the fundamentals of teaching and learning.
Our programme makes unique use of London’s attractions and resources. We have close links with the Science Museum, the National Maritime Museum, the Natural History Museum, the Wellcome Library, and UCL Culture. We also use the city as a classroom, with custom-made walking tours, site visits, and special excursions.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Science & Technology Studies
82%: History subjects; 75%: Philosophy subjects rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
Our course provides you with a strong grounding in the quantitative and qualitative skills required to address environmental questions in addition to subject-specific knowledge and understanding.
Following the taught element you have the opportunity to apply your skills and knowledge in a research project.
The aim of this programme is to
The programme is divided into three parts :
Students can swap between this course and the Masters in Applications in Environmental Science subject to academic performance in the 60 credit core taught element.
For a detailed description of modules please visit:
http://www.environmentalsciences.ls.manchester.ac.uk/courses/pollutionandenvcontrol/coursestructure/
Teaching and research in environmental sciences are facilitated by strong collaborative links with the Greater Manchester Geological Unit, an independent body of consultants engaged in practical urban geoscience in the Manchester area.
Practical support and advice for current students and applicants is available from the Disability Advisory and Support Service. Email: [email protected]
Governments, industry and society, in all countries, are increasingly aware of the importance of securing sustainable development through cost-effective pollution controls and resource conservation. As a result, there is a growing need, internationally, for suitably qualified personnel in the environmental authorities of central and local government, industry and commerce, consultancy and research. Moreover, the resulting legal requirements on the part of governments and industry to conform to national and international agreements and regulations means that such demand will remain even during periods of economic austerity and retrenchment.
Employers are increasingly requiring environmental science graduates to have a strong grounding in the quantitative and qualitative skills required to address environmental questions in additional to subject-specific knowledge and understanding. Our programmes address these requirements through a core of skills-based modules with the emphasis on synthesis.
Career destinations of graduates
Graduates from the existing Pollution and Environmental Control Masters have been very successful in obtaining relevant environment-related employment in areas such as industry, local and central authorities, the regulatory sector, consultancies, education and research. Typically, between 20 and 30% of students completing the programme undertake postgraduate research immediately after graduation.
We expect that graduates from the new Applications in Environmental Science Masters will be attractive to employers in the environmental authorities of central and local government, industry and commerce, consultancy and research. The experience gained during an industrial placement will be especially valuable to employers.
The MSc in Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science.
The rate at which we are able to create data is rapidly accelerating. According to IBM, globally, we currently produce over 2.5 quintillion bytes of data a day. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.
The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to carry out this analysis on a vast scale.
The MSc in Data Science provides you with these skills.
Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.
As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files.
The degree will culminate in a final project in which you will you can apply your skills and follow your specialist interests. You will do a novel analysis of a real world data of your choice.
The programme includes:
You will study the following core modules:
You will also choose from an anually approved list of modules which may include:
Data Science is one of the fastest growing sectors of employment internationally. Big Data is an important part of modern finance, retail, marketing, science, social science, medicine and government.
The study of a combination of long established fields such as statistics, data mining, machine learning and databases with very modern and strongly related fields as big data management and analytics, sentiment analysis and social web mining, offers graduates an excellent opportunity for getting valuable skills in advanced data processing.
This could lead to a variety of potential jobs including:
Find out more about employability at Goldsmiths.
Many of the most pressing issues facing New Zealand and the world today—climate change, the loss of biodiversity, and how to respond to new technologies—can't be solved using traditional scientific approaches.
In the age of social media, clickbait headlines and 'fake news', new means of communicating science and engaging different groups and communities are required.
The 180-point Master of Science in Society is a cross-disciplinary programme that combines taught courses, research projects and your choice of final project to give you a practical understanding of the role of science in society.
You'll learn how to engage New Zealanders in conversations about the science that impacts their lives so they can make informed decisions. Find out how you can influence policy change and research priorities.
Develop your understanding of contemporary scientific issues, and draw from a range of diverse fields such as philosophy, history and the creative arts to gain a broader and more nuanced perspective on science.
Gain an insight into the range of perspectives different communities have on scientific and environmental issues, and explore the important role of mātauranga Māori and other indigenous knowledge in science decision-making.
The Master of Science in Society is suited to students who are interested in science but don't want to pursue a traditional postgraduate science research programme. If you're interested in more effective public engagement around key scientific issues like conservation and pest eradication, or you're keen to pursue a career in science policy or advocacy, this degree is a good choice for you.
Learn from award-winning academics and professionals who are leaders in the field of science communication, public engagement with science, natural and social science, the humanities and the arts. You'll also be exposed to a wide range of expertise from across the university and from visiting experts.
The Master of Science in Society has two parts. The first part takes place in Trimester One, is based on-campus and is compulsory for all students.
In Part 1, you'll focus on developing your critical thinking and communication skills in four taught courses. Look at the theory and practice of science communication, and gain a grounding in contemporary scientific issues and theories. Explore perspectives on science from different cultures and from across the humanities and social sciences.
You'll choose from three of four core 400-level courses, and complete an additional approved course worth 15 points.
The field component of SCIS 589, the Science Communication Project, also takes place during Trimester One.
You'll go on to put your learning into practice in Part 2 by completing your science communication project and a research essay. You'll also choose to do a work placement or a research project, or choose other relevant courses from another discipline of your choice, such as Māori Studies, Public Policy or Conservation Biology.
While working on your final projects you'll be supervised by subject experts from within and outside of the university, and will continue to meet regularly with your fellow students in tutorials or seminar sessions.
You can complete Part 2 of your Master's remotely if your placement or research project takes place outside Wellington. You'll need to have sufficient internet access to take part in online seminars, lectures and workshops.
The Master of Science in Society will take you three trimesters (one year) of full-time study, or up to three years if you are studying part time.
If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year.
If you're a part-time student, you can estimate your workload by adding up the number of points you'll be doing. One point is roughly equal to 10–12 hours work.
The two-year master’s programme Statistical Science for the Life and Behavioural Sciences provides you with a thorough introduction to the general philosophy and methodology of statistical modelling, data analysis and data science.
The two-year master’s programme in Statistical Science provides you with a thorough introduction to the general philosophy and methodology of statistical modelling and data analysis. The programme consists of a core programme shared by all students, and specialisation specific courses, electives, an internship or research project and master’s thesis. You can specialise in either life and behavioural sciences, where the emphasis is on the application in multidisciplinary environments, or in data sciences where you focus more on data mining, pattern recognition and deep learning.
Read more about the Statistical Science for the Life and Behavioural Sciences programme.
Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.
The field of statistics, like other areas of applied mathematics, often attracts students who are interested in the analysis of patterns in data: developing, understanding, abstracting, and packaging analytical methods for general use in other subject areas. Statistics is also, by definition, an information science. Imaginative use of both computing power and new computing environments drives much current research - so an interest in computation and/or computer science can also be a start for a statistician. With the growing importance of data within our society, you’ll be highly in demand with a degree in Statistical Sciences.
Read more about the entry requirements for the Statistical Science programme.
Physics is the fundamental science. As a teacher of physics, you’ll inspire learners with knowledge of the laws governing our natural world and its place in the universe. From how we can harness and use energy, to the discovery and exploration of planets and stars, physics covers a range of applications of the relationships that have been discovered through experiment and calculation.
One of the highlights of the course for many student teachers is attending the residential Scottish Universities’ Science School (SUSS) where you will meet the student teachers of science from the other Scottish Universities. SUSS offers an excellent opportunity to begin networking with other future science teachers.
This course is a professional training course which qualifies you to teach secondary education. The qualification is recognised throughout the world and is regulated by:
While on campus you'll attend two general teaching modules:
Educational Perspectives and Policies will develop your understanding of educational issues in a broader intellectual context while Principles and Policy in Practice is the companion module to Educational Perspective and Policies. It shares a focus on critical professional engagement informed by educational research and theory. Tutorials for both classes provide the opportunity to work with students from different subjects and from within the primary sector.
The course builds confidence in students to allow them to perform to their full potential by equipping them with the theoretical knowledge and practical skills they require.
Subject specific classes are known as Creative Contexts for Learning (CCL). Here, you’ll learn about pedagogical approaches specific to physics with a highly experienced tutor.
The course also has links with several leading professionals in the world of physics teaching, who deliver school related aspects for the course. This time is used to familiarise you with the curriculum, allow you to collaborate with students and begin to plan lessons, develop materials, teach mini-lessons and to learn innovative and motivating ways to deliver the curriculum effectively.
The physics component of the PGDE course builds on your existing knowledge of physics to transform it into a form which school pupils can understand. You will work in groups with other student teachers to explore the practicalities of teaching a physics class before, during and after the lesson:
All science teachers in Scotland have a specialist science teacher qualification in physics, chemistry or biology. They are also qualified to teach general science in first, second and third year in schools. In addition to learning about the pedagogy of teaching physics, chemistry or biology, student teachers of science also have an additional twenty hours of study to learn how to teach general science. This component is taught in mixed groups of physics, chemistry and biology student teachers to allow students to learn from one another and to simulate working in a school science department or faculty. The general science component is taught by a combination of experienced science teacher educators and seconded teachers.
In addition, the general science component draws on the expertise of science educators from the Glasgow Science Centre and includes a visit to the Centre or other suitable sites to consider out-of-classroom learning in science. The general science component of the specialist PGDE science courses makes it easy for qualified teachers to find employment as teachers outside Scotland.
You will also complete a Professional Specialism (PS) module which can be self-directed or comprised of on-campus classes which aims to allow you to develop your knowledge in an educational area of particular interest.
You'll spend 18 weeks of the course on placement in a school within Scotland. You'll be continually assessed while there to show you meet the requirements for the Standards for Provisional Registration.
You must attend your placement school throughout the full working day. You must also attend school on staff in-service days, unless told otherwise by your school.
Placement is your chance to put what you're learning into practice. You'll explore your own teaching style, learn new techniques and develop relationships with your pupils.
You must keep a portfolio of progress while on placement. This placement file will form part of the evidence of your meeting the Standards for Provisional registration and prepares you for the continuation of professional development during your professional teaching career.
If you're a Scottish or EU student, you're guaranteed a job for one year in a Scottish school after you graduate. This is part of the GTCS Teacher Induction Scheme.
Following graduation you should contact the GTCS for provisional registration. Once you complete your probationary year, you'll be awarded full registration.
As a newly qualified teacher, you can receive an additional £8,000 under the Preference Waiver Scheme if you agree to work anywhere in Scotland for your induction scheme.
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