Masters Degrees (Life Science)

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Life Science and Healthcare Enterprise at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The Masters of Research in Life Science and Healthcare Enterprise is a taught research programme portfolio designed to give Health Professionals, Life Scientists, Biomedical Scientists, Medics and Academics the opportunity to conduct masters-level research in a supported environment, with relevant training and application to Life Science-related expert witnesses from Industry and Academia through the provision of a series of master-classes.

Key Features of MRes in Life Science and Healthcare Enterprise

We combine a multidisciplinary approach of industrial collaboration and integrated and innovative teaching that promises to bring significant advances in the development of leaders of research and innovation in the Life Science sector:

- The opportunity to specialise in to five different areas of Medical Manufacturing, Medical Technology and Pharmaceutical and -Regenerative Medicine with supervision by experienced academics, leading researchers in the field and experts at the forefront of the life sciences industry

- Develop research skills by working with an interdisciplinary research team

- Comprehend, design and implement business models across life science enterprise and innovation

- Engage with clinicians through new and established links with local hospitals and NHS Health Boards.

Programme Outline

Each programme within the Life Science and Healthcare Enterprise portfolio consists of two Phases:

• Phase 1 (October – January): 3 taught modules (compulsory modules) totaling 60 credits, which can lead to the award of a Postgraduate Certificate in Life Science and Healthcare Enterprise

• Phase 2 (February – September): an 8 month research project. At the end of this phase, you will submit a 40,000-words thesis worth 120 credits leading to the award of the MRes in Life Science Healthcare Enterprise

The Life Science and Healthcare Enterprise programme ethos is eclectic, innovative and novel in respect to developing you to be ready for the world of business within the Life Science sector. You will be immersed in and exposed to a learning environment with an open, innovative, global multidisciplinary culture.

By the end of the Life Science and Healthcare Enterprise programme, you will be prepared to be entrepreneurs or a senior employee within large and small business, and capable of leading change to a more entrepreneurial and innovative culture.

Attendance Pattern

During the taught element of this Master's programme in Life Science and Healthcare Enterprise, students are required to attend for 1 week (5 consecutive days) teaching block, followed by 1 week of independent study (i.e. no formal teaching sessions) for the generation of a white paper and ending in the Presentation, Defence and Assessment period in Week 3 for each module.

Attendance during Part Two is negotiated with the supervisor. You are also encouraged to attend the Postgraduate Taught Induction Event during the induction week and any programme associated seminars.

Read less

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.

What does this master’s programme entail?

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.

Why study Life Science and Technology at Leiden University?

• You can design your own tailor-made programme adjusted to your own interests and ambitions related to Life Sciences, biomedicine and Chemical Biology.
• You have the possibility to be part of research training projects within the Faculty of Science, Leiden University Medical Center, Netherlands Cancer Institute, Erasmus Medical Center or abroad.
• You will receive personal guidance by a mentor of choice, who is a member of one of our international and young research groups.

Find more reasons to study Life Science and Technology at Leiden University.

Life Science and Technology: the right master’s programme for you?

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.

Specialisations

• Life Science and Science Communication and Society (MSc)
• Life Science and Education (MSc)
• Life Science and Business Studies (MSc)
• Life Science Research and Development (MSc)

Read less

Life Sciences is one of the strategic research fields at the University of Helsinki. The multidisciplinary Master’s Programme in Life Science Informatics (LSI) integrates research excellence and research infrastructures in the Helsinki Institute of Life Sciences (HiLIFE). As a student, you will gain access to active research communities on three campuses: Kumpula, Viikki, and Meilahti. The unique combination of study opportunities tailored from the offering of the three campuses provides an attractive educational profile. The LSI programme is designed for students with a background in mathematics, computer science and statistics, as well as for students with these disciplines as a minor in their bachelor’s degree, with their major being, for example, ecology, evolutionary biology or genetics.

As a graduate of the LSI programme you will:
-Have first class knowledge and capabilities for a career in life science research and in expert duties in the public and private sectors.
-Competence to work as a member of a group of experts.
-Have understanding of the regulatory and ethical aspects of scientific research.
-Have excellent communication and interpersonal skills for employment in an international and interdisciplinary professional setting.
-Understand the general principles of mathematical modelling, computational, probabilistic and statistical analysis of biological data, and be an expert in one specific specialisation area of the LSI programme.
-Understand the logical reasoning behind experimental sciences and be able to critically assess research-based information.
-Have mastered scientific research, making systematic use of investigation or experimentation to discover new knowledge.
-Have the ability to report results in a clear and understandable manner for different target groups.
-Have good opportunities to continue your studies for a doctoral degree.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

The Life Science Informatics Master’s Programme has six specialisation areas, each anchored in its own research group or groups.

Algorithmic Bioinformatics
Goes with the Genome-scale algorithmics, Combinatorial Pattern Matching, and Practical Algorithms and Data Structures on Strings research groups. This specialisation area educates you to be an algorithm expert who can turn biological questions into appropriate challenges for computational data analysis. In addition to the tailored algorithm studies for analysing molecular biology measurement data, the curriculum includes general algorithm and machine learning studies offered by the Master's Programmes in Computer Science and Data Science.

Applied Bioinformatics
Jointly with The Institute of Biotechnology and genetics. Bioinformatics has become an integral part of biological research, where innovative computational approaches are often required to achieve high-impact findings in an increasingly data-dense environment. Studies in applied bioinformatics prepare you for a post as a bioinformatics expert in a genomics research lab, working with processing, analysing and interpreting Next-Generation Sequencing (NGS) data, and working with integrated analysis of genomic and other biological data, and population genetics.

Biomathematics
With the Biomathematics research group, focusing on mathematical modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of topics ranging from problems at the molecular level to the structure of populations. To tackle these problems, the research group uses a variety of modelling approaches, most importantly ordinary and partial differential equations, integral equations and stochastic processes. A successful analysis of the models requires the study of pure research in, for instance, the theory of infinite dimensional dynamical systems; such research is also carried out by the group.

Biostatistics and Bioinformatics
Offered jointly by the statistics curriculum, the Master´s Programme in Mathematics and Statistics and the research groups Statistical and Translational Genetics, Computational Genomics and Computational Systems Medicine in FIMM. Topics and themes include statistical, especially Bayesian methodologies for the life sciences, with research focusing on modelling and analysis of biological phenomena and processes. The research covers a wide spectrum of collaborative topics in various biomedical disciplines. In particular, research and teaching address questions of population genetics, phylogenetic inference, genome-wide association studies and epidemiology of complex diseases.

Eco-evolutionary Informatics
With ecology and evolutionary biology, in which several researchers and teachers have a background in mathematics, statistics and computer science. Ecology studies the distribution and abundance of species, and their interactions with other species and the environment. Evolutionary biology studies processes supporting biodiversity on different levels from genes to populations and ecosystems. These sciences have a key role in responding to global environmental challenges. Mathematical and statistical modelling, computer science and bioinformatics have an important role in research and teaching.

Systems Biology and Medicine
With the Genome-scale Biology Research Program in Biomedicum. The focus is to understand and find effective means to overcome drug resistance in cancers. The approach is to use systems biology, i.e., integration of large and complex molecular and clinical data (big data) from cancer patients with computational methods and wet lab experiments, to identify efficient patient-specific therapeutic targets. Particular interest is focused on developing and applying machine learning based methods that enable integration of various types of molecular data (DNA, RNA, proteomics, etc.) to clinical information.

Selection of the Major

During the first Autumn semester, each specialisation area gives you an introductory course. At the beginning of the Spring semester you are assumed to have decided your study direction.

Programme Structure

Studies amount to 120 credits (ECTS), which can be completed in two years according to a personal study plan.
-60 credits of advanced studies from the specialisation area, including a Master’s thesis, 30 credits.
-60 credits of other studies chosen from the programme or from other programmes (e.g. computer science, mathematics and statistics, genetics, ecology and evolutionary biology).

Internationalization

The Life Science Informatics MSc is an international programme, with international students and an international research environment. The researchers and professors in the programme are internationally recognized for their research. A significant fraction of the teaching and research staff is international.

As a student you can participate in an international student exchange programme, which offers the possibility to include international experience as part of your degree. Life Science Informatics itself is an international field and graduates can find employment in any country.

In the programme, all courses are given in English. Although the Helsinki region is very international and English is widely spoken, you can also take courses to learn Finnish via the University of Helsinki’s Language Centre’s Finnish courses. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning new languages.

Read less

Computational Life Science

In recent years, biological research has become increasingly interdisciplinary, focusing heavily on mathematical modeling and on the analysis of system-wide quantitative information. Sophisticated high-throughput techniques pose new challenges for data integration and data interpretation. The Computational Life Science (CompLife) MSc program at Jacobs University meets these challenges by covering computational, theoretical and mathematical approaches in biology and the life sciences. It is geared towards students of bioinformatics, computer science, physics, mathematics and related areas.

Program Features

The CompLife program is located at Jacobs University, a private and international English-language academic institution in Bremen, Germany. CompLife students at Jacobs University take a tailor-made curriculum comprising lectures, seminars and laboratory trainings. Courses cover foundational as well as advanced topics and methods. Core components of the program and areas of specialization include:

- Computational Systems Biology
- Computational Physics and Biophysics
- Bioinformatics
- RNA Biology
- Imaging and Modeling in Medicine
- Ecological Modeling
- Theoretical Biology
- Applied Mathematics
- Numerical Methods

For more details on the CompLife curriculum, please visit the program website at http://www.jacobs-university.de/complife.

Career Options

Graduates of the CompLife program are prepared for a career in biotechnology and biomedicine. Likewise, graduates of the program are qualified to move on to a PhD.

Application and Admission

The CompLife program starts in the first week of September every year. Please visit http://www.jacobs-university.de/graduate-admission or use the contact form to request details on how to apply. We are looking forward to receiving your inquiry.

Scholarships and Funding Options

All applicants are automatically considered for merit-based scholarships of up to € 12,000 per year. Depending on availability, additional scholarships sponsored by external partners are offered to highly gifted students. Moreover, each admitted candidate may request an individual financial package offer with attractive funding options. Please visit http://www.jacobs-university.de/study/graduate/fees-finances to learn more.

Campus Life and Accommodation

Jacobs University’s green and tree-shaded campus provides much more than buildings for teaching and research. It is home to an intercultural community which is unprecedented in Europe. A Student Activities Center, various sports facilities, a music studio, a student-run café/bar, concert venues and our Interfaith House ensure that you will always have something interesting to do.

For graduate students who would like to live on campus, Jacobs University offers accommodation in four residential colleges. Each college has its own dining room, recreational lounge, study areas, and common and group meeting rooms. Please visit http://www.jacobs-university.de/study/graduate/campus-life for more information.

Read less

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Medicine and Life Sciences at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MRes in Medicine and Life Sciences is a one year full time programme, which provides an ideal opportunity and environment in which to gain practical training in Research Methods and to join a thriving research team within Swansea University College of Medicine. The Medicine and Life Sciences course has been developed with an emphasis on providing students with a research-oriented approach to their learning. Students are able to tailor their studies towards a career in one of the College’s internationally recognised research themes:

– Biomarkers and Genes,

– Devices,

– Microbes and Immunity,

– Patient & Population Health and Informatics.

Key Features of MRes in Medicine and Life Sciences

The Medicine and Life Sciences programme is committed to supporting the development of evidence within the areas of Health, Medicine and Life Science through the training of researchers whose findings will directly inform their own understanding and that of others. The ethos of this programme is to produce graduates with the research skill and knowledge to become effective researchers, who will contribute to the body of knowledge within their chosen area of interest that will have an impact upon the health and well-being of all.

- The advantage of a MRes over other formats is that it provides a structured yet in-depth approach, taking the taught component of FHEQ Level 7 teaching as a framework for conducting research on the candidates own practice.

- Innovative and integrated curriculum that reflects the various aspects of the research process.

- Multidisciplinary teaching team with vast experience and expertise in conducting high quality research.

- Research informed teaching.

- Teaching is supported by online learning and support.

-Flexibility for you to gain specialist knowledge.

- A one year full-time taught masters programme designed to develop the essential skills and knowledge required for a successful research career.

- This course is also available for two years part-time study.

- The opportunity to conduct an individual research project with an interdisciplinary team within a supportive environment.

- Students will be assigned a research-active supervisory team

The aim of the MRes in Medicine and Life Sciences is to provide students with a broad research training to prepare them for a research career in Medical and Life Science research with emphasis on: Biomarkers & Genes, Devices, Microbes & Immunity, and Patient & Population Health and Informatics. The course has been developed to enable graduates to pursue a variety of research careers in Medical and Life Sciences. The programme comprises both taught and research elements.

By the end of the Medicine and Life Sciences programme students will have:

Developed necessary skills to critically interpret and evaluate research evidence; Gained experience the in analysis and interpretation of research data; Advanced knowledge at the forefront of Medical and Life Science research, with the ability to integrate the theoretical and practical elements of research training; Developed the ability to conceptualise, design and implement a research project for the generation of new evidence that informs Health, Medicine and Life Science; Developed practical research skills by working with an interdisciplinary research team; The ability to confidently communicate research ideas and conclusions clearly and effectively to specialist and non-specialist audiences; Acquired transferable skills which enhance your employability and future research career.

Modules

Modules on the Medicine and Life Sciences course may include:

PMRM01 Critical Appraisal and Evaluation

PMRM02 Data Analysis for Health and Medical Sciences

PMRM03 Research Leadership and Project Management OR any topic specific FHEQ Level 7 module from the College of Medicine ’s portfolio

Mode of delivery:

The 60 credits of the taught element will be delivered face-to-face, combining formal lecturing, seminars, and group work in addition to tutor-led practical classes. The remaining 120 credits for the research element will be available as distance learning either off or on-site. Irrespective of the location for conducting the research project, students will supported through monthly online (Skype)/or face-to-face supervisory meetings.

Course Structure

Students must complete 3 modules of 20 credits each and produce a 120 credits thesis on a research project aligned to one the College’s research theme. Each taught module of the programme requires a short period of attendance that is augmented by preparatory and reflective material supplied via the course website before and after attendance.

The Medicine and Life Sciences programme is designed in two phases:

Phase 1 – Training and Application (October – January; 60 credits)

Taught modules in Research Methods and their application to Medicine and Life Science. Personalised education and training relevant to student’s research interests. Identification of research questions and how they might be addressed.Focused on students existing knowledge and research skills.

Phase 2 – Research Project (February – September; 120 credits)

The project is selected by the student in combination with an academic supervisory team. Focussed on one of the College’s four main research themes: Biomarkers and Genes, Devices, Microbes and Immunity, and Patient & Population Health and Informatics. At the end of Part 2 students submit a 40,000 word thesis worth 120 credits leading to the award of Master of Research in Medicine and Life Science.

Attendance Pattern

Students are required to attend the University for 1 week (5 consecutive days) for each module in Phase One. Attendance during Phase Two is negotiated with the supervisor.

You are also encouraged to attend the Postgraduate Taught Induction Event during the induction week and any programme associated seminars, together with Postgraduate research events.

Read less

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.

What does this master’s programme entail?

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.

Why study Computer Science at Leiden University?

• Interdisciplinary research opportunities as well as industrial applications provide you with exciting possibilities. The industrial application areas and interdisciplinary activities include, among others: Bioinformatics and Life Sciences, Medicine, Pharma, Physics, Engineering Applications, Logistics Applications, Energy and Utility related Applications and Financial Applications.
• You will benefit from our diverse collaborations and the possibilities for internships and projects with our partners such as BMW, ING and Strukton.
• You have ample of opportunities to assemble your own study path: an individually tailored programme will be designed for each student.

Find more reasons to choose Computer Science at Leiden University.

Computer Science: the right master’s programme for you?

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.

Specialisations

• Bioinformatics (MSc)
• Computer Science and Education (MSc)
• Computer Science and Advanced Data Analytics (MSc)
• Data Science: Computer Science (MSc)
• Computer Science and Science Communication & Society (MSc)
• Computer Science and Business Studies (MSc)

Read less

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Medical and Health Care Studies at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The research and innovation arm of Swansea University’s Medical School is the Institute of Life Science (ILS). The vision for ILS is to advance medical science through interdisciplinary research and innovation to improve the health wealth and well-being of the people of Wales and beyond.

The Institute of Life Science

- is a unique example of successful collaboration between the NHS, academia and industry in the life science and health sector.

- enjoys close links with the Colleges of Engineering and Science especially through the Centre for NanoHealth.

- is Wales’ premier purpose-built medical research facility.

- is a collaboration between Swansea University and the Welsh Government, together with Abertawe Bro Morgannwg University Health Board, and industry and business partners.

Our research within Medical and Healthcare Studies focuses around four themes:

Biomarkers and Genes

Devices, Microbes and Immunity

Patient and Population Health

Informatics

Thanks to the interdisciplinary ethos of the Institute of Life Science, researchers dedicated to four theme areas work together seamlessly on complex medical problems that have both biological and social impacts. Candidates for the Medical and Health Care Studies programme are asked to nominate their preferred research area.

Read less

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.

What does this master’s programme entail?

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.

Why study Statistical Sciences for the Life and Behavioural Sciences at Leiden University?

• Each specialisation offers you a unique combination of knowledge and expertise. These allow for a thorough preparation for a career as a data scientist, researcher or statistician anywhere.
• Job perspectives after graduation are great: statisticians and data scientists are highly sought after in various industries such as academia, marketing, banking, government, official statistics, healthcare, bioinformatics and more.
• The Statistical Science programme is a collaborative effort. Four Leiden University Institutes closely collaborate with top research institutes such as Wageningen UR and VUMC, which means that your education is provided by experts in their respective fields.

Find more reasons to choose Statistical Science for the Life and Behavioural Sciencese at Leiden University.

Statistical Sciences for the Life and Behavioural Sciences: the right master’s programme for you?

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.

Read less

Our MSc in Science Communication combines professional practice, policy studies and cross-disciplinary theory and skills, to offer an academically stimulating experience and a solid grounding for a career.

Developed by academic staff from The University of Manchester's Centre for the History of Science, Technology and Medicine and Manchester Institute of Innovation Research , the programme will feature masterclasses and project support from leading professionals in print, broadcast and online journalism, museums and science centres, public policy and advocacy, specialist public relations and editorial services, project and event management, together with experienced science communicators from across the University.

Aims

Science communication deals with the communication of scientific ideas, practices and issues to diverse audiences. Students on this programme will spend time building up practical communication skills, and thinking about the broad range of challenges that science communicators face. Does science communication matter for society? Whose interests are furthered by science news? What are the ethical issues in the communication of health research? When we talk about public engagement, what kind of public do we mean?
The course considers these questions among others through insights drawn from history, innovation and policy research, media studies, and the first-hand experience of long-serving communicators, and feeds the discussion back into its approach to practical skills.

Special features

This programme provides a framework that enables to students to enhance their academic and 'real world' learning at the same time. By bringing practitioners into the classroom, and enabling students to participate in the many forms of science communication that are happening in Manchester, students gain a good sense of the range of science communication activity, and of the personal, intellectual and professional skills that will support them as they set off in their careers.

Applicants may informally request from the Course Director, or may be sent, examples of study materials to enable them to test their ability to engage effectively with the course.

Teaching and learning

Teaching includes a mixture of lectures, small-group seminars, discussions and practical exercises. Activities will be included in the taught elements, for individual students and for groups. Students will engage with primary and secondary academic literatures, with professional literatures, and with mass media products about science, technology and medicine. Students will learn at special sites of science communication, such as museums, media institutions, and public events. Participation and volunteering will be encouraged so that students can further their own interests alongside the taught curriculum. All students will meet regularly with a mentor from the Centre's PhD community, with a designated personal tutor from among the staff, and, from Semester 2, a dissertation supervisor.

Coursework and assessment

All modules are assessed by academic and practical tasks set in parallel. Students should expect assessments, which are written and spoken, and use a format appropriate to the relevant professional group or medium.

Students may choose their own topic or medium for the many of the assessments. There is a small taught element which is assessed through a formal exam. Assessed work also includes a project created under the supervision of a science communication professional.
The final assessment piece is a substantial piece of original research (the dissertation).

Career opportunities

This programme is intended for students interested in science, technology, medicine, mathematics or engineering who are seeking to work in journalism, science policy, science publishing, medical, environmental and other related campaigning and advocacy groups, public relations in the public and private sectors, museums and science centres, science festivals, or other public engagement fields. It also provides an appropriate grounding for PhD-level research in science communication studies.

Past MSc graduates who took our former science communication pathway in History of Science, Technology and Medicine have gone on to a wide range of relevant posts, including:
-Public Engagement Officer, Centre for Life, Newcastle
-Senior Policy Analyst, Department of Energy and Climate Change
-Director, Scientia Scripta (science-focused copywriting agency)
-Assistant Curator of Technology and Engineering, Science Museum
-Education Assistant, Catalyst Science Centre, Widnes
-Junior Consultant, Six Degrees PR
-Technical Author, Calrec Audio
-Researcher, Pioneer Productions (TV)

Read less

Technologies based on the intelligent use of data are leading to great changes in our everyday life. Data Science and Engineering refers to the know-how and competence required to effectively manage and analyse the massive amount of data available in a wide range of domains.

We offer a two-year Master of Science in Computer Science centered on this emerging field. The backbone of the program is constituted by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks, Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing, each providing a solid grounding in data science and engineering as well as a firm grasp of the domain of interest.

By blending standard classes with recitations and lab sessions our program ensures that each student masters the theoretical foundations and acquires hands-on experience in each subject. In most units credit is obtained by working on a final project. Additional credit is also gained through short-term internship in the industry or in a research lab. The master thesis is worth 25% of the total credit.

TRACKS

• Business Intelligence. This track builds on first hand knowledge of business management and fundamentals of data warehousing, and focuses on data mining, graph analytics, information visualisation, and issues related to data protection and privacy.
• Health & Life Sciences. Starting from core knowledge of signal and image processing, bioinformatics and computational biology, this track covers methods for biomedical image reconstruction, computational neuroengineering, well-being technologies and data protection and privacy.
• Pervasive Computing. Security and ubiquitous computing set the scene for this track which deals with data semantics, large scale software engineering, graph analytics and data protection and privacy.
• Visual Computing. This track lays the basics of signal & image processing and of computer graphics & augmented reality, and covers human computer interaction, computational vision, data visualisation, and computer games.

PROSPECTIVE CAREER

Senior expert in Data Science and Engineering. You will be at the forefront of the high-tech job market since all big companies are investing on data driven approaches for decision making and planning. The Business Intelligence area is highly regarded by consulting companies and large enterprises, while the Health and Life Sciences track is mainly oriented toward biomedical industry and research institutes. Both the Pervasive and the Visual Computing tracks are close to the interests of software companies. For all tracks a job in a start-up company or a career on your own are always in order.

Senior computer scientist.. By personalizing your plan of study you can keep open all the highly qualified job options in software companies.

Further graduate studies.. In all cases, you will be fully qualified to pursue your graduate studies toward a PhD in Computer Science.

Read less

Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Computer Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).

The MSc in Computer Science course is for you if you are a graduate from one of a wide range of disciplines and are looking to change direction or because of the needs of your chosen career, require a solid foundation in Computer Science.

As the use of computers and computer based systems continues to grow in all aspects of life, at home and at work, it is apparent that there will be for years to come a need for many people who can combine a knowledge of Computer Science, the discipline that underlies Information Technology, and degree level knowledge in a wide variety of other disciplines.

Over the duration of the MSc Computer Science course you will study a variety of modules taught by academic staff that are part of internationally renowned research groups. The course is also regularly updated to ensure that it keeps pace with the rapid developments in Computer Science.

Key Features of Computer Science MSc

• We are top in the UK for career prospects*

• We are 3rd in the UK for teaching quality**

• 5th in the UK overall*

• 7th in the UK for student satisfaction with 98% [National Student Survey 2016]

• 7th in the UK overall and Top in Wales*

• High employability prospects - we are 8th in the UK for graduate prospects*

• 92% in graduate employment or further study six months after leaving University [HESA data 2014/15]

• UK TOP 20 for Research Excellence [Research Excellence Framework 2014]

• Our Project Fair allows students to present their work to local industry

• Strong links with industry

• £31m Computational Foundry for computer and mathematical sciences will provide the most up-to-date and high quality teaching facilities featuring world-leading experimental set-ups, devices and prototypes to accelerate innovation and ensure students will be ready for exciting and successful careers. (From September 2018)

*Guardian University Guide 2017

**Times & Sunday Times University Guide 2016

Modules of Computer Science MSc

Modules for the MSc in Computer Science include Computer Science Project Research Methods but please visit our course page for more information.

Facilities

The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.

As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.

Careers

All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.

94% of our Postgraduate Taught Graduates of Computer Science were in professional level work or study [DLHE 14/15].

Student Profile

“I chose the MSc Computer Science as a conversion from my previous War and Society degree, primarily employment opportunities. The course was by no means easy for me coming from an arts background, and the first few weeks I felt a little over my head, but thanks to the truly stimulating content from the syllabus and the high quality of the teaching within the department I soon caught up and began to thrive on the course. My project revolved around a comparative study of the Haskell Web-Framework Yesod and ASP.NET. During the completion of this I picked up many of the skills that I now use on an everyday basis in my role at Kinspeed (A Sheffield based Software House). Since starting work I have been able to apply many of the skills I obtained during my time at Swansea and have no doubt that choosing to study the MSc Computer Science at Swansea was one of the better decisions of my life.”

Chris Swires

Research

The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).

Read less

Computer science has a brilliant future! You could help to create new network solutions, build the future digital society, develop secure digital services, or be involved in a ground-breaking international software project. Perhaps you will develop algorithms for utilising genome data in medicine or optimise bus routes using positioning data. Do you wonder about all the things that can be automated? Or would you like to dig deeper and become a researcher?

In the Master’s programme in computer science you can become an expert in a wide range of fields. You will have access to the focus areas of research in computer science at the University of Helsinki: algorithms, distributed or networked systems, and software engineering. You will gain lasting professional skills for specialist, design, or managerial posts in the corporate world, or for research and doctoral education, since the Master’s programme in computer science gives you the aptitude for both independent working and multidisciplinary teamwork.

This education will give you:
-The ability to advance your knowledge in the different areas of computer science.
-The skill to seek, assess, and analyse scientific information in your own area of expertise, and apply the methods of the field in an ethical and sustainable way.
-The ability to act as expert in the field, and to develop the practices and methods of your field in cooperation with specialists from other fields.
-Oral and written communication skills in an international work environment.

The quality teaching within the computer science programme at the University of Helsinki has been highlighted repeatedly in national and international teaching assessments. The student-centred, in-depth learning gives you a solid basis for life-long learning. Studying at the leading research unit for computer science in Finland offers you constant interaction with current research and insight into the development patterns in the field.

The University of Helsinki will introduce annual tuition fees to foreign-language Master’s programmes starting on August 1, 2017 or later. The fee ranges from 13 000-18 000 euros. Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area, are liable to these fees. You can check this FAQ at the Studyinfo website whether or not you are required to pay tuition fees: https://studyinfo.fi/wp2/en/higher-education/higher-education-institutions-will-introduce-tuition-fees-in-autumn-2017/am-i-required-to-pay-tuition-fees/

Programme Contents

In future, we will increasingly be using intelligent tools, consisting of networked hardware, software, services, and data. They will work based on intelligent, learning algorithms, data streams carried by communication protocols, and global infrastructures.

Within the Algorithms sub-programme, you will study effective algorithms and their application within other disciplines and in corporate life. Future IT systems will contain more and more intelligent components, the function of which will be based on complex mathematical models created automatically with the aid of machine-learning methods. The problems to be solved are computationally challenging, and the ever increasing amounts of data will create their own challenges when it comes to the efficiency of the algorithms needed.

The Networking and services sub-programme educates you to become an expert and strategic leader in the design and management of new global infrastructures. The infrastructures include Internet technologies in fixed networks and mobile environments, as well as the information and service networks built on top of them. Focus areas include the theory, data security, and trust within distributed systems, interactive systems, and the adaptability of services in a changing environment.

The Software systems sub-programme introduces you to the design and implementation of advanced software. The development of a shared software framework or platform for several software products is very demanding both technically and from the development project viewpoint. Developing such software requires technical skills, but also team- and project work, quality assurance, and communication. Within this sub-programme, you can specialise in software engineering, software technology, or information management, and study the current research questions in these areas in depth.

Selection of the Major

The sub-programmes in the Master’s programme for computer science are:
-Algorithms
-Networking and services
-Software systems

You can select any of these programmes according to your preferences at the beginning of your studies. The sub-programme determines which courses you should take.

Programme Structure

The Master’s programme comprises 120 credits, which can be completed in two years, in accordance with an approved personal study plan. The degree includes:
-80 credits of advanced courses, including shared courses within the programme, courses within the programme which support the thesis topic, the Master’s thesis (Pro gradu), 30 credits.
-40 credits of other courses from your own or other programmes. The other courses can include a work-orientation period.

Career Prospects

The employment outlook within the field is excellent. Masters of computer science find varied positions within the ICT field, both as employees and entrepreneurs. The nature of the education is also geared towards giving you an aptitude for managerial posts. All the sub-programmes provide the qualifications to find employment in a wide variety of jobs.

Software-system graduates often start their careers as software developers and designers, while network graduates often start with software at the infrastructure level (such as data communications, computation, or data entry). The skills learned in the algorithms sub-programme enable you to work on challenging tasks in various fields.

As a graduate you can find employment within small or large corporations as well as organisations in the private, public, or third sector. Due to the global nature of the field, you can find employment anywhere in the world. Taking modules from other education programmes will help you apply your computer science skills in other areas. Many jobs are based on these combinations.

Thanks to its strong scientific basis, the degree is also an excellent springboard to a doctoral programme.

Internationalization

There is a very international atmosphere within the programme, as nearly a third of the students come from abroad, and the advanced courses are instructed by international researchers.

In addition, the University of Helsinki and the Faculty of Science offer you many opportunities for international activities:
-Instruction in English within other education programmes.
-International tasks within the students’ organisations or union.
-Language courses at the Language Centre of the University of Helsinki.

You can also get information and counselling about independent international experience, such as:
-Student exchange in one of the exchange locations of the faculty or university.
-Traineeships abroad.

Computer science at the University of Helsinki is a popular exchange location, especially from Germany. Some 5-10 students come annually; exchange students have come from 14 countries in recent years. The students in the department have taken exchange periods in 16 countries in the past few years.

Research Focus

There are several multidisciplinary research projects under way at the Faculty of Science, which are being carried out in cooperation with the research institutes on the science campus and with other faculties, universities, and corporations. The role of computer science within these projects is to develop the basic methods of the discipline in strategic areas and to collaborate in depth with other disciplines.

The sub-programmes within the Master’s programme cover a considerable part of the strategic focus areas of computer science research at the University of Helsinki: algorithms, data analysis and machine learning, networking and services, software systems, bioinformatics, and data science.

Computer science is part of three Finnish Academy centres of excellence: for computational inference, inversion problems, and cancer genetics. These units represent the collaboration between computer science and other disciplines.

Computer science has coordinated the long-lived Algodan centre of excellence, which has been the basis for many current research groups.

Read less

About the Program

With a master’s degree in Web Science you will be able to study and solve problems on the web. Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, studies of the law, linguistics and mathematics. All mandatory courses are taught in English.

In general, our programme aims at people with a bachelor’s degree or a minor in computer science. Our programme even is free of tuition. The medium of instruction is English.

More information under: http://west.uni-koblenz.de/en/mws

Employment Outlook

Graduates from the institute WeST have found interesting positions at successful companies, started their own businesses or continued towards a Ph.D. Institute WeST has a limited number of places available each year for pursueing a Ph.D. If you excel earning a master's degree in Web Science you will be in pole position for continuing with doctoral studies.

Studying in Koblenz

Koblenz is one of the oldest and most attractive cities in Germany with its surroundings honoured as UNESCO World Cultural Heritage. The university of Koblenz-Landau has close contacts to leading companies, offering possibilities for internships, collaboration and project experiences.

Program Structure

Our interdisciplinary curriculum emphasises computer science and builds bridges to social sciences, economics, law, linguistics and mathematics. All mandatory courses are taught in English.

The curriculum is organized in seven module groups:

Foundations of Web Science (two modules) establishes the main idea of Web Science. It provides an interdisciplinary primary view of the web and of more abstract web structures.

The Computer Science track (three modules) teaches the essential technical aspects, namely web engineering, semantic web and web retrieval.

Web and Society (two out of four modules) considers interaction of the web and different user groups: citizens, customers, entrepreneurs, and interest groups.

The module group Elective Courses in Computer Science provides a wide range of technical topics. Modules may be choosen freely from all Master courses in computer science with relevance to the web given at the University of Koblenz-Landau (three modules or more, mininum 18 ECTS).

Elective Interdisciplinary Courses contain web-related modules offered by our university from other disciplines (such as economy, social sciences, linguistics, anthropology, communication theory etc.). Students have to freely elect at least two modules (12 ECTS).

Topics for seminars and research lab can be freely chosen from Web Science subjects. Furthermore, this module group contains a social skills and leadership training..

The topic of the master's thesis can also be freely chosen from any Web Science subjects.

More information about the curriculum can also be found under: http://west.uni-koblenz.de/en/mws/curriculum

Requirements

Higher Education Entrance Qualification -

It is a legal requirement in Germany that students own a Higher education entrance qualification („Hochschulzugangsberechtigung“) respectively a Master entrance qualification („Masterzugangsberechtigung“), proven by school leaving certificates or studies completed at secondary education level.

Entrance qualification is not checked by us, but uni-assist (see application process), therefore please refrain from asking us if your diploma will be accepted. Uni-assist provides some further information on higher education entrance qualification.

Academic Background in Computer Science -

You need some academic background in computer science, such as a

bachelor's degree in computer science, business informatics, Computervisualistik (as offered by the University of Koblenz-Landau), Information management (as offered by the University of Koblenz-Landau until 2012 if 60 ECTS in computer science were acquired) or similar.

Students with a minor in computer science (at least 60 European Credit Points) can apply, too. Here we have to make a decision on a by-case-basis. To get an educated guess please contact the course guidance.

Only diplomas of international accredited universities will be accepted. If you are unshure if your academic background fulfils our requirements, do not hesitate to contact us: [email protected]. Non-academic, practical experience in computer science alone does not qualify you for our programme.

Sufficient Grades in Previous Studies -

The German grading system ranges from 1 ("very good") to 6 ("insufficient"). Lower numbers mean better grades. To be eligible for our programme, the grades from your previous studies must be between 1 and 2.5. Grade conversion into the German system is done by uni-assist (cf. application procedure), so we cannot tell you if your GPA fis sufficient. For a first, non-binding estimation on your eligibility you might want to check the calculator provided by the University of Paderborn.

English Language Proficiency -

The medium of instruction for all required courses is English, some additional electives can be taken in German. Thus, we require a certain level of English proficiency such that studies can be undertaken successfully. Thus, a standardised language certificate is required – proof that your previous studies were held in English are not sufficient and not negiotiable. We accept three types of language proficiency certificates:

a TOEFL result of at least 79 (internet based), 550 (paper based) or 213 (computer based)

IELTS test with 6.5 points mininum

Cambridge certificate at level B2 or higher (find an exam center)

Proficiency of German language is not a requirement for application. However, additional elective courses are available in German, and we recommend to learn some basic German for daily life. Some hints on learning German can be found at Deutsche Welle.

Motivational Letter -

Applicants need to supply a motivational letter. Please do not send lenghty standard letters describing your general interest in computer science and your appreciation of the German education system. Instead, refer only to our specific programme and follow these guidelines:

Length should be between 150 and 300 words.

The letter must be written in English.

Specify what you learnt and found particularly interesting in your previous studies or practical experiences. Tell us how you want to deepen these previous experience in our master's programme. You can also describe what you expect to learn here for your future job. You should always refer to our curriculum, especially the module groups Foundations of Web Science, Major Subject Computer Science und Major Subject Web and Society. Make clear that you know our curriculum and point out why you have chosen our programme above others.

Further information under: http://west.uni-koblenz.de/en/mws/requirements

Read less

What is environmental earth science?

Environmental earth science (or geoscience) covers a range of topics including hydrology, sedimentology and geomorphology.

Who is this course for?

This course provides specialist skills and knowledge for science graduates wanting to pursue careers in environmental earth science. Environmental scientists undertake work such as developing ways to minimise the impacts of humans on the natural environment.

Course learning outcomes

The graduates of James Cook University are prepared and equipped to create a brighter future for life in the tropics world-wide.
JCU graduates are committed to lifelong learning, intellectual development, and to the display of exemplary personal, professional and ethical standards. They have a sense of their place in the tropics and are charged with professional, community, and environmental responsibility. JCU graduates appreciate the need to embrace and be acquainted with the Aboriginal and Torres Strait Islander Peoples of Australia. They are committed to reconciliation, diversity and sustainability. They exhibit a willingness to lead and to contribute to the intellectual, environmental, cultural, economic and social challenges of regional, national, and international communities of the tropics.
On successful completion of the Graduate Diploma of Science, graduates will be able to:
*Integrate and apply advanced theoretical and technical knowledge in one or more science disciplines
*Retrieve, analyse, synthesise and evaluate knowledge from a range of sources
*Plan and conduct reliable, evidence-based laboratory and/or field experiments/practices by selecting and applying methods, techniques and tools, as appropriate to one or more science disciplines
*Organise, analyse and interpret complex scientific data using mathematical, statistical and technological skills
*Communicate complex scientific ideas, arguments and conclusions clearly and coherently to a variety of audiences through advanced written and oral English language skills and a variety of media
*Identify, analyse and generate solutions to unpredictable or complex problems, especially related to tropical, rural, remote or Indigenous contexts, by applying scientific knowledge and skills with initiative and high level judgement
*Explain and apply regulatory requirements, ethical principles and, where appropriate, cultural frameworks, to work effectively, responsibly and safely in diverse contexts
*Reflect on current skills, knowledge and attitudes to manage their professional learning needs and performance, autonomously and in collaboration with others.

Award title

GRADUATE DIPLOMA OF SCIENCE (GDipSc)

Course articulation

Students who complete the Graduate Diploma of Science are eligible for entry to the Master of Science, and may be granted advanced standing for all subjects completed under the Graduate Diploma.

Entry requirements (Additional)

English band level 1 - the minimum English Language test scores you need are:
*Academic IELTS – 6.0 (no component lower than 5.5), OR
*TOEFL – 550 (plus minimum Test of Written English score of 4.0), OR
*TOEFL (internet based) – 79 (minimum writing score of 19), OR
*Pearson (PTE Academic) - 57

If you meet the academic requirements for a course, but not the minimum English requirements, you will be given the opportunity to take an English program to improve your skills in addition to an offer to study a degree at JCU. The JCU degree offer will be conditional upon the student gaining a certain grade in their English program. This combination of courses is called a packaged offer.
JCU’s English language provider is Union Institute of Languages (UIL). UIL have teaching centres on both the Townsville and Cairns campuses.

Minimum English language proficiency requirements

Applicants of non-English speaking backgrounds must meet the English language proficiency requirements of Band 1 – Schedule II of the JCU Admissions Policy.

Why JCU?

James Cook University brings together a team of academic and associate staff across multiple disciplines.
*Nationally-recognised leader in geoscience
*state-of-the-art research and teaching facilities
*internationally-acclaimed academic teaching staff
*strong collaboration with industry and research organisations, both locally and internationally.

Career Opportunities

A postgraduate qualification from JCU can enhance your career prospects, enable you to reskill and change careers completely, or develop a specialist area of expertise and personal interest.
Earth science and environmental science graduates enjoy well-paid careers in Australia and overseas. A range of opportunities await graduates in the academia as well as in private and public sectors.
As an Environ mental Scientist, for instance, you will measure and record features of the environment and study, assess and develop methods of controlling or minimizing the harmful effects of hum an activity on the environment.
Graduates can also get jobs as research assistants or support staff for teaching. With a PhD, you can gain research positions (Postdoctoral, Fellowships) that are often funded for a few years or apply for permanent positions as a lecturer and researcher.

Application deadlines

*1st February for commencement in semester one (February)
*1st July for commencement in semester two (mid-year/July)

Read less

Overview

Science and technology clearly have a profound influence on society, but the reverse is also true: society significantly shapes the ways in which science and technology evolve. Economic interests, public opinion and policy shifts are decisive for the shaping of science and technology. However, experience has shown that scientists on the one hand and the general public, government and businesses on the other aren’t always able to clearly understand one another. That is why experts with a background in science and an understanding of social processes are indispensable.

The Master's specialisation in Science in Society offers you different perspectives on science and slightly shift your career opportunities by teaching you a different set of skills on top of the research skills learned in the first year of our Master’s programmes.

This specialisation is available in the Master's in Biology, Chemistry, Computing Sciences, Mathematics, Medical Biology, Molecular Life Sciences, Physics and Astronomy, and Science. Students gain advanced knowledge in their preferred science, and also choose a theme to structure their programme to gain specialised skills in one aspect of science management and innovation.

See the website http://www.ru.nl/masters/science/scienceinsociety

Career prospects

The intermediary role between science and society is highly sought after. You will be prepared for a dynamic career in various fields and work environments such as policy, advisory bodies, interest groups and governments, as well as interdisciplinary research that connects science and society. Although not part of the compulsory part of the programme, this specialisation can also prepare you for the field of science journalism or communication, for you can make that the focus of your graduation project.

Our research in this field

Top research and facilities
This specialisation is closely connected to the Institute for Science, Innovation & Society (ISIS); this institute brings together a group of experts from various disciplines and backgrounds in order to jointly tackle societal issues.

You also have the unique opportunity of working on a variety of large-scale European research projects that are connected to researchers on the Radboud University campus.

The Nijmegen approach

The first thing you will notice as you enter our Faculty of Science is the open atmosphere. This is reflected by the light and transparent building and the open minded spirit of the working, exploring and studying people that you will meet there. No wonder students from all over the world have been attracted to Nijmegen. You study in small groups, in direct and open contact with members of the staff. In addition, Nijmegen has excellent student facilities, such as high-tech laboratories, libraries and study ‘landscapes'.

Studying by the ‘Nijmegen approach' is a way of living. We will equip you with tools which are valuable for the rest of your life. You will be challenged to become aware of your intrinsic motivation. In other words, what is your passion in life? With this question in mind we will guide you to translate your passion into a personal Master's programme.

Quality Label

Radboud University was rated Best General University in the Netherlands in the Keuzegids Masters 2017 (Guide to Master's programmes)

See the website http://www.ru.nl/masters/science/scienceinsociety

Read less