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Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Read more
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:
-Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms.
-Apply various computational and statistical methods to analyse scientific and business data.
-Assess the suitability of each method for the purpose of data collection and use.
-Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms.
-Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge.
-Report results in a clear and understandable manner.
-Analyse scientific and industrial data to devise new applications and support decision making.

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.

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 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 minor 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.

Minor studies give you a wider perspective of Data Science. Your minor subject 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).

Selection of the Major

You can specialise either in the core areas of data science -- algorithms, infrastructure and statistics -- or in its applications. This means that you can focus on the development of new models and methods in data science, supported by the data science research carried out at the University of Helsinki; or you can become a data science specialist in an application field by incorporating studies in another subject. In addition to mainstream data science topics, the programme offers two largely unique opportunities for specialisation: the data science computing environment and infrastructure, and data science in natural sciences, especially physics.

Programme Structure

You should be able to complete the MSc Programme in Data Science of 120 credits (ECTS) in two years of full-time study. The programme consists of:
-Common core studies of basic data science courses.
-Several modules on specific topics within data science algorithms, data science infrastructures and statistical data science, and on data science tools.
-Seminars and colloquia.
-Courses on academic skills and tools.
-Possibly an internship in a research group or company.
-Studies in an application domain.
-Master’s thesis (30 credits).

Career Prospects

Industry and science are flooded with data and are struggling to make sense of it. There is urgent demand for individuals trained to analyse data, including massive and heterogeneous data. For this reason, the opportunities are expected to grow dramatically. The interdisciplinary Data Science MSc programme will train you to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

If you are focusing on the core areas of data science, you will typically find employment as a researcher or consultant, sometimes after taking a PhD in Computer Science or Statistics to deepen your knowledge of the field and research methods. If your focus is on the use of data science for specific applications, you will typically find work in industry or in other fields of science such as physics, digital humanities, biology or medicine.

Internationalization

The Data Science MSc is an international programme, with students from around the world and an international research environment. All of the departments taking part in the programme are internationally recognised for their research and a significant fraction of the teaching and research staff come from abroad.

The departments participate in international student exchange programmes and offer you the chance to include international experience as part of your degree. Data Science itself is an international field, so once you graduate you can apply for jobs in any country.

In the programme, all courses are in English. Although the Helsinki area is quite cosmopolitan and English is widely spoken, you can also take courses to learn Finnish at the University of Helsinki Language Centre. The Language Centre also offers an extensive programme of foreign language courses for those interested in learning other languages.

Research Focus

The MSc programme in Data Science is offered jointly by three departments and two research institutes. Their research covers a wide spectrum of the many aspects of data science. At a very general level, the focal areas are:
-Machine learning and data mining
-Distributed computation and computational infrastructures
-Statistical modelling and analysis
-Studies in the programme are tightly connected to research carried out in the participating departments and institutes.

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A unique course, the only one of its kind in the UK, designed to fast track you into the industry. Quick Facts. 2 Year Course. Full-time. Read more
A unique course, the only one of its kind in the UK, designed to fast track you into the industry.

Quick Facts:

2 Year Course
Full-time
Course runs Jan-Dec each year
Next intake: January 2017
NFTS Scholarships available for UK Students

Visit the website https://nfts.co.uk/our-courses/masters/directing-producing-science-natural-history

APPLICATION DEADLINE: 13 OCT 2016

COURSE OVERVIEW

New technology and a greater variety of formats are challenging the traditional boundaries of Science and Natural History Programming and driving greater audience demand. British production companies are at the forefront of leading innovation in formats and high-end content, with growing opportunities to work with North American and international broadcasters.

This course will give you:

- The skills to direct science and natural history productions.
- The know-how to produce entire shows.
- A practical working knowledge of current science and natural history television production methods.
- The ability to generate science and natural history programme ideas and formats.
- Knowledge of how the business works and current trends, including co-productions etc.
- The confidence and know-how to pitch those ideas to commissioning editors.
- Brilliant industry contacts and relevant skills for building a sustainable career as a Producer/Director.
- Access to NFTS's Masterclasses lead by major creative figures from film, television and games.

The National Film and Television School’s Science and Natural History Masters* focuses on developing Producers and Directors. Therefore, as part of the course students will be exposed to the development and production challenges of specialist factual genres, such as Landmark and Blue Chip (interchangeable terms for high budget, high production value programming mainly used in a pure wildlife context), mini landmarks, Children’s, People and Nature, Live, Expedition films, Magazine formats, Obs-doc etc. In addition there will be a focus on promoting cross-genre ideas to foster creativity.

Editorial policy and standards, together with codes of practice relating to science and the filming of animals, and Health and Safety will be fully explored.

Students will gain practical experience in both the research and development of programming of this type whilst also developing a body of work that showcases their practical film making skills and innovation within the genre.

* Subject to Validation

CURRICULUM

Below is an indicative list of the topics covered on the course:

- Audiences, and the genres of science and natural history films: differences and overlaps
- Editorial and production values in science and natural history programmes
- The documentary tradition
- Principles of storytelling and film narrative
- Finding stories: research
- Story Development
- Treatments and Proposal Writing / Pitching and packaging the concept
- The film process, from script to screen
- Writing techniques
- Wildlife Behaviour
- Finding and working with Talent and Presenters
- Guidelines for Filming Animals
- Editorial Policy and Standards
- Digital Content and Social Media Extensions
- Formatting
- Short form storytelling
- Directing the camera to capture a ‘scene’
- Working with graphics and VFX
- Pitch Reel / Sizzle Reels
- Outside Broadcasts
- Production and Post Production Workflow (logging, DITs etc)
- Health and Safety
- The History of Science and Wildlife Filmmaking
- The Business: how programmes are financed. International co-production
- International Markets and Programming
- Marketplace trends
- Managing a career

In addition, students will be exposed to specialist science and natural history filming techniques, such as: thermal, Slow Motion, underwater, Macro & Micro filming, drones, timelapse, rigs etc.

There is a strong emphasis on professional practice. This means that student projects will be expected to measure up to scientific scrutiny, as well as exhibition and broadcast standards.

The structure of the course follows the chronological steps of a Science or Natural History Television production. Injected into this timeline will be specifically tailored modules taught by top television professionals, with experience of different subgenres or appropriate specialist techniques, eg cinematography or VFX. Students also get the chance to pitch their Science and Natural History programme ideas to broadcasters like the BBC, National Geographic and Discovery.

NFTS students are engaged in more productions as part of the curriculum than any of our competitors. Unlike other schools, all production costs are met by the School and productions are given cash production budgets.

PLACEMENT

Each student will complete a minimum of 10 days work experience.

NFTS BENEFITS

Science & Natural History course participants will have full access to the NFTS’ optional creative stimulus strands, including: Cinema Club, Screen Arts and NFTS Masterclasses - these strands see major creative figures from film, television and games screening their work and discussing with students in the campus cinema. Recent speakers include David Fincher (Director, Seven, Gone Girl), Graham Linehan (The IT Crowd, Father Ted), Abi Morgan (Suffragette, The Hour), Christopher Nolan (Interstellar, The Dark Knight) and Hamish Hamilton (Director, Super Bowl XLVIII).

ENTRY REQUIREMENTS

If you are lively and imaginative, then this is the course for you! Applicants must be able to demonstrate their passion, commitment and talent for developing a career in Television.

Typically applicants will have a proven interest in science and natural history, which, typically, may involve a background in Physics, Chemistry, combined Natural Sciences, Zoology, Biology, Psychology, Mathematics etc.

APPLY WITH

- A short proposal for a science or natural history television programme – no more than one A4 typed page
- Optional: A DVD containing samples of your work specifying your exact role in each. This work need not be in the science and natural history area, as some applicants may not have a film or other programme-making background.

HOW TO APPLY

You can apply directly to us at the NFTS by clicking on the link below:

APPLY FOR DIRECTING & PRODUCING SCIENCE & NATURAL HISTORY COURSE - https://nfts.co.uk/user/login?destination=node/9%3Fnid%3D2023

You can apply online, or download a word document of the application form to submit via email
When selecting your course, please ensure that you have read the entry requirements and details of the supporting materials that should accompany your application.

TIMING YOUR APPLICATION

We are happy to receive applications 24/7 and 365 days a year up until the deadline. That said, there is no particular advantage to submitting your application very early. The important thing is that your application shows us your latest work and tell us about your most recent filmmaking experiences.

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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. Read more
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.

Degree information

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
-Introduction to Science and Technology Studies

Optional modules - students must take three modules from a prescribed list of options including:
-Practical Science Communication and Engagement
-Curating the History of Science
-Responsible Science and Emerging Technologies
-Science in the 20th Century and Beyond
-Science Policy Beyond Borders
-Science, Media, and Culture
-Science, Security, and Social Research
-Sociology and the Sociology of Science
-Special Topics Seminar in STS
-Ancillary Modules

Students must take two ancillary modules which may be options from our own degrees, for example, Material Culture and Science in the 18th Century OR, Knowledge, Evidence, and Explanation in Science, OR, they might be selected from any other programme at UCL.

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.

Careers

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.

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:

the chance to develop practical media skills, including audio production
learning to write for different audiences
developing your skills in both practical and theoretical science communication, including working in a major London museum
to meet and network with policy makers.

Why study this degree at UCL?

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.

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This programme offers breadth across a wide range of historical and philosophical themes. It also encourages intensive investigation and specialisation. Read more
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.

Degree information

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
-Introduction to Science and Technology Studies

Optional modules - students choose four options from the following:
-Science in the 19th Century
-Material Culture and Science in the 18th Century
-Early Modern Science
-Medieval Science and Medicine in Global Perspective
-Science in Antiquity
-Causality, Mechanism, and Classification in Science
-Knowledge, Evidence, and Explanation in Science
-Science, Art, and Philosophy
-Special Topics Seminar in History and Philosophy of Science

One optional module from our sister MSc programme, Science, Technology, and Society, may be substituted here provided it contributes to a coherent programme of study.

Ancillary Modules - students choose three ancillary modules which may be options from our degrees, e.g. Science in the 20th Century and Beyond, and Curating the History of Science, or they might be 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.

Careers

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.

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.

Why study this degree at UCL?

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.

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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. Read more
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.

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Environmental earth science (or geoscience) covers a range of topics including hydrology, sedimentology and geomorphology. This course provides specialist skills and knowledge for science graduates wanting to pursue careers in environmental earth science. Read more

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)

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The School of Life Science has developed an extremely active and successful undergraduate, Biomedical Science programme. We have embraced specialists working in local NHS Trusts to develop outstanding, collaborative relationships covering key diagnostic and clinical specialties. Read more

Overview

The School of Life Science has developed an extremely active and successful undergraduate, Biomedical Science programme. We have embraced specialists working in local NHS Trusts to develop outstanding, collaborative relationships covering key diagnostic and clinical specialties. Not only do students benefit from the inclusion of such specialist practitioners onto our teaching programmes, but could also be offered highly competitive research opportunities working within the hospital itself.

This MSc programme builds on this wealth of experience and best practice to enable well-qualified students to develop their scientific training and employability skills within a Biomedical context. The need for innovation and a multidisciplinary approach to Biomedical Science has never been more important. The teaching strategies embedded within this programme embrace these principles in its pursuit of Clinical Biochemistry, Medical Immunology and Haematology.

IBMS Accreditation

This programme is accredited by the Institute of Biomedical Science (IBMS) as the professional body of Biomedical Scientists within the United Kingdom. The IBMS aims to promote and develop the role of Biomedical Science within healthcare to deliver he best possible service for patient care and safety.

Accreditation is a process of peer review and recognition by the profession of the achievement of quality standards for delivering Masters level programmes.

Individuals awarded a Masters degree accredited by the Institute are eligible for the title of Chartered Scientist and the designation CSci if they meet the other eligibility criteria of corporate membership and active engagement in Continued Professional Development. A Masters level qualification is also one of the entry criteria for the Institute’s Higher Specialist Examination and award of the Higher Specialist Diploma, a pre-requisite for the membership grade of Fellowship and designation FIBMS.

The aim of IBMS accreditation is to ensure that, through a spirit of partnership between the Institute and the University, a good quality degree is achieved that prepares the student for employment in circumstances requiring sound judgement, critical thinking, personal responsibility and initiative in complex and unpredictable professional environments.

The Institute lists 10 advantages of IBMS accreditation:
1. Advances professional practice to benefit healthcare services and professions related to biomedical science.

2. Develops specific knowledge and competence that underpins biomedical science.

3. Provides expertise to support development of appropriate education and training.

4. Ensures curriculum content is both current and anticipatory of future change.

5. Facilitates peer recognition of education and best practice and the dissemination of information through education and employer networks.

6. Ensures qualification is fit for purpose.

7. Recognises the achievement of a benchmark standard of education.

8. The degree award provides access to professional body membership as a Chartered Scientist and for entry to the Higher Specialist Diploma examination.

9. Strengthens links between the professional body, education providers employers and students.

10. Provides eligibility for the Higher Education Institution (HEI) to become a member of HUCBMS (Heads of University Centres of Biomedical Science)

See the website https://www.keele.ac.uk/pgtcourses/biomedicalbloodscience/

Course Aims

The main aim of the programme is to provide multidisciplinary, Masters Level postgraduate training in Biomedical Blood Science. This will involve building on existing, undergraduate knowledge in basic science and applying it to clinical, diagnostic and research applications relevant to Clinical Biochemistry, Medical Immunology and Haematology.

Intended learning outcomes of the programme reflect what successful students should know, understand or to be able to do by the end of the programme. Programme specific learning outcomes are provided in the Programme Specification available by request, but to summarise the overarching course, aims are as follows:

- To develop students’ knowledge and understanding of different theoretical perspectives, methodological approaches, research interests and practical applications within Blood Science

- To explore and explicitly critique the clinical, diagnostic and research implications within the fields of Clinical Biochemistry,

- Medical Immunology and Haematology, and to place this in the context of a clinical laboratory, fully considering the potential implications for patients, health workers and research alike

- To develop a critical awareness of Biomedical ethics and to fully integrate these issues into project management including grant application and business planning

- To support student autonomy and innovation by providing opportunities for students to demonstrate originality in developing or applying their own ideas

- To direct students to integrate a complex knowledge base in the scrutiny and accomplishment of professional problem-solving scenarios and project development

- To enable student acquirement of advanced laboratory practical competencies and high level analytical skills

- To promote and sustain communities of practice that allow students to share best practice, encourage a multidisciplinary approach to problem-solving and to develop extensive communication skills, particularly their ability to convey complex, underpinning knowledge alongside their personal conclusions and rationale to specialist and nonspecialist listeners

- To provide students with a wide range of learning activities and a diverse assessment strategy in order to fully develop their employability and academic skills, ensuring both professional and academic attainment

Course Content

This one year programme is structured so that all taught sessions are delivered in just two days of the working week. Full-time students are expected to engage in independent study for the remaining 3 days per week. Consolidating taught sessions in this way allows greater flexibility for part-time students who will be expected to attend one day a week for two academic years, reducing potential impact in terms of workforce planning for employers and direct contact for students with needs outside of their academic responsibilities.

Semester 1 will focus on two main areas, the first being Biomedical ethics, grant application and laboratory competencies. The second area focuses on the clinical and diagnostic implications of Blood Science for patients and health workers, with the major emphasis being on Clinical Biochemistry.

Semester 2 will also focus on two main themes; firstly, business planning methodological approaches, analytical reasoning and research. Secondly, the clinical and diagnostic implications of Blood Science for patients and health workers, with the major emphasis being on Haematology and Immunology.

Compulsory Modules (each 15 credits) consist of:
- Biomedical Ethics & Grant Proposal
- Project Management & Business Planning
- Advanced Laboratory Techniques*
- Research Methodologies *
- Case Studies in Blood Science I
- Case Studies in Blood Science II
- Clinical Pathology I
- Clinical Pathology II

*Students who have attained the IBMS Specialist Diploma and are successfully enrolling with accredited prior certified learning are exempt from these two modules.

Dissertation – Biomedical Blood Science Research Project (60 credits)

This research project and final dissertation of 20,000 words is an excellent opportunity for students to undertake laboratory based research in their chosen topic and should provide an opportunity for them to demonstrate their understanding of the field via applications in Biomedical Science. Biomedical Science practitioners are expected to complete the laboratory and data collection aspects of this module in conjunction with their employers.

Requirements for an Award:
In order to obtain the Masters degree, students are required to satisfactorily accrue 180 M Level credits. Students who exit having accrued 60 or 120 M Level credits excluding the ‘Dissertation – Biomedical Blood Science Research Project’ are eligible to be awarded the Postgraduate Certificate (PgC) and Postgraduate Diploma (PgD) respectively

Teaching and Learning Methods

This programme places just as much emphasis on developing the way in which students approach, integrate and apply new knowledge and problem-solving as it is with the acquisition of higher level information. As such, particular emphasis is placed on developing critical thinking, innovation, reflective writing, autonomous learning and communication skills to prepare candidates for a lifetime of continued professional development.

The teaching and learning methods employed throughout this programme reflect these principles. For example, there is greater emphasis on looking at the subject from a patient-orientated, case study driven perspective through problem-based learning (PBL) that encourages students to think laterally, joining up different pieces of information and developing a more holistic level of understanding.

Assessment

The rich and varied assessment strategy adopted by this programme ensure student development of employability
and academic skills, providing an opportunity to demonstrate both professional and academic attainment. Assessment design is
largely driven by a number of key principles which include: promotion of independent learning, student autonomy, responsibility for personal learning and development of innovation and originality within one’s chosen area of interest. Note that not all modules culminate in a final examination.

Additional Costs

Apart from additional costs for text books, inter-library loans and potential overdue library fines we do not anticipate any additional costs for this post graduate programme.

Find information on Scholarships here - http://www.keele.ac.uk/studentfunding/bursariesscholarships/

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Natural resource management focuses on the way people and natural landscapes interact. It also deals with the sustainability of our environment. Read more

What is natural resource management?

Natural resource management focuses on the way people and natural landscapes interact. It also deals with the sustainability of our environment.

Who is this course for?

This course is for science graduates looking to gain advanced skills in natural resources management. A broad range of study areas includes marine protected areas and Indigenous resource management.
It is a flexible course offering you a range of electives so you can tailor a study program to meet your professional needs and interests.

Course learning outcomes

On successful completion of the Graduate Certificate of Science, graduates will be able to:
*Integrate and apply specialised 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 Certificate of Science (GCertSc)

Course articulation

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

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.
*World-recognised programs and research
*state-of-the-art research and teaching facilities
*internationally-acclaimed academic teaching staff
*strong collaboration with industry and research organisations, both locally and internationally.

Application deadlines

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

Read less
Natural resource management focuses on the way people and natural landscapes interact. It also deals with the sustainability of our environment. Read more

What is natural resource management?

Natural resource management focuses on the way people and natural landscapes interact. It also deals with the sustainability of our environment.

Who is this course for?

This course is for science graduates looking to gain advanced skills in natural resources management. A broad range of study areas includes marine protected areas and Indigenous resource management.
It is a flexible course offering you a range of electives so you can tailor a study program to meet your professional needs and interests.

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.
*World-recognised programs and research
*state-of-the-art research and teaching facilities
*internationally-acclaimed academic teaching staff
*strong collaboration with industry and research organisations, both locally and internationally.

Application deadlines

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

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Data Science brings together computational and statistical skills for data-driven problem solving. Read more
Data Science brings together computational and statistical skills for data-driven problem solving. This rapidly expanding area includes machine learning, deep learning, large-scale data analysis and has applications in e-commerce, search/information retrieval, natural language modelling, finance, bioinformatics and related areas in artificial intelligence.

Degree information

The programme comprises core machine learning methodology and an introduction to statistical science, combined with a set of more specialised and advanced options covering computing and statistical modelling. Projects are offered both within UCL Computer Science and from a wide range of industry partners.

Students undertake modules to the value of 180 credits.

The programme consists of three compulsory modules (45 credits), five optional modules (75credits) and a dissertation/report (60 credits).

Core modules
-Applied Machine Learning
-Introduction to Supervised Learning
-Introduction to Statistical Data Science

Optional modules - students choose a minimum of 30 credits and a maximum of 60 credits from the following optional modules:
-Cloud Computing (Birkbeck)
-Machine Vision
-Information Retrieval & Data Mining
-Statistical Natural Language Processing
-Web Economics

Students choose a minimum of 0 credits and a maximum of 30 credits from these optional Statistics modules:
-Statistical Design of Investigations
-Applied Bayesian Methods
-Decision & Risk

Students choose a minimum of 15 credits and a maximum of 15 credits from these elective modules:
-Supervised Learning
-Graphical Models
-Bioinformatics
-Affective Computing and Human-Robot Interaction
-Computational Modelling for Biomedical Imaging
-Stochastic Systems
-Forecasting

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered though a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed through a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.

Careers

Data science professionals are increasingly sought after as the integration of statistical and computational analytical tools becomes more essential to organisations. A thorough understanding of the fundamentals required from the best practitioners, and this programme's broad base, assists data scientists to adapt to rapidly evolving goals. This is a new degree and information on graduate destinations is not currently available. However, MSc graduates from across the department frequently find roles with major tech and finance companies including:
-Google Deepmind
-Microsoft Research
-Dunnhumby
-Index Ventures
-Last.fm
-Cisco
-Deutsche Bank
-IBM
-Morgan Stanley

Why study this degree at UCL?

The 2014 Research Excellence Framework ranked UCL first in the UK for computer science. 61% of its research work is rated as world-leading and 96% as internationally excellent.

UCL Computer Science staff have research interests ranging from foundational machine learning and large-scale data analysis to commercial aspect of business intelligence. Our extensive links to companies provide students with opportunities to carry out the research project with an industry partner.

The department also enjoys strong collaborative relationships across UCL; and exposure to interdisciplinary research spanning UCL Computer Science and UCl Statistical Science will provide students with a broad perspective of the field. UCL is home to regular machine learning masterclasses and big data seminars.

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Western science is dominated by ‘reductionism’ – the idea that natural phenomena can be Stephan Harding, Head of Holistic Science at Schumacher Collegefully explained in terms of their component parts. Read more
Western science is dominated by ‘reductionism’ – the idea that natural phenomena can be Stephan Harding, Head of Holistic Science at Schumacher Collegefully explained in terms of their component parts. Although it is a useful tool in certain circumstances, reductionism as a world view is incomplete and can be dangerous on its own since it suggests that by analysing the ‘mechanical’ workings of nature we can fully predict and manipulate it entirely for our own benefit.

Holistic Science integrates the useful aspects of reductionism and mainstream science by developing a more comprehensive basis for seeing and knowing. At the heart of this is Goethe’s rigorous and systematic way of involving the imagination in an appreciation of nature’s qualities, complexity and intrinsic value. Holistic thinking is stimulated by exercises using phenomenology and in tackling challenges related to physics, earth system science, ecology, evolutionary biology, organisational development and health studies. Since 1998, when the programme was pioneered at Schumacher College, it has developed a coherent methodology of holistic enquiry, providing a rigorous and ethical framework for a mature science.

The MSc takes you into a profound personal transformative learning journey helping you to join a growing group of international alumni contributing positively to ecological, economic and social change.

“Interactive, experiential and participatory learning encourages novel approaches to scientific investigation. Various non-traditional teaching formats, learning experiences and assessments are facilitated. Investigations are holistic in the sense that they are embodied as well as rational/intellectual and often result in different outcomes to traditional styles of research and reporting.”

- Philip Franses, Senior Lecturer of Holistic Science

Programme Overview

Develop an understanding of the pros and cons of using western science as a tool for gaining reliable knowledge about the world.
Learn how contemporary sustainability issues have come about and how we can successfully address them by combining rational and intuitive ways of knowing.
Gain an understanding of the importance of sensing, feeling and intuition for an expanded science.
Learn about a range of cutting edge alternative methodologies which integrate qualitative experience and quantitative measurement.
Develop an understanding of the emergent properties of whole systems through the lenses of chaos, complexity and Gaia theories, and discover how these approaches can help us deal with ecological, social and economic problems.
Understand how Holistic Science is being applied in the worlds of business, economics, health and mainstream science in the creation of a more sustainable world.
Develop a clear understanding of your own rational and emotional states and processes in the study of nature through experiential and reflective group enquiry.

Our Teachers and Guest Contributors Have Included:

Rupert Sheldrake
Patricia Shaw
Satish Kumar
Craig Holdrege
Mike Wride
Shantena Sabbadini
Jules Cashford
Bruce Lipton

Career Opportunities:

Our graduates from around the world have used their skills and knowledge for sustainable change to become eminent and important contributors to many fields, including climate change advocacy, education, scientific research, ecological design, healthcare, green business, protection of indigenous cultures, ecological restoration and sustainable agriculture. Working in in public, private and NGO sectors, many have set up their own projects or organisations.
What Past Participants Have Said:

“What I learnt and experienced from the MSc is that everything is ever changing. Working with the concepts of holistic science I experienced living with complexity and change as a way of life rather than as a stage I had to survive. For me, the gift of holistic science was to learn to appreciate the inherent potential in all situations. This has taught me to more effectively think, act and live with the tension of transitions through multidisciplinary approaches.”
- Anne Solgaard, Green Economy for UNEP/GRID-Arendal

“During my MSc in Holistic Science I learned a comprehensive qualitative approach to science that binds natural and cultural phenomena. It was a unique experience that transformed my own inner way of relating to complex circumstances and empowered me with the tools necessary to develop the way of life I’ve always dreamed of.“
- Sebastian Eslea Burch, founder of Gaia y Sofia

“The MSc certainly opened my eyes to new ways of doing business in a complex world. Both the formal teachings and the tremendous networking potential of the College have helped me in forging a professional life that I feel reflects my ideals.“
- Sophia Van Ruth, co-founder Urban Edibles

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Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. Read more
Data science brings together computational and statistical skills for data-driven problem solving, which is in increasing demand in fields such as marketing, pharmaceutics, finance and management. This MSc will equip students with the analytical tools to design sophisticated technical solutions using modern computational methods and with an emphasis on rigorous statistical thinking.

Degree information

The programme combines training in core statistical and machine learning methodology, beginning at an introductory level, with a range of optional modules covering more specialised knowledge in statistical computing and modelling. Students choosing the statistics specialisation will take one compulsory module and up to two additional modules from computer science, with the remaining modules (including the research project) taken mainly from within UCL Statistical Science.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research dissertation/report (60 credits).

Core modules
-Introduction to Statistical Data Science
-Introduction to Supervised Learning
-Statistical Design of Investigations
-Statistical Computing

Optional modules - st least two from a choice of Statistical Science modules including:
-Applied Bayesian Methods
-Decision & Risk
-Factorial Experimentation
-Forecasting
-Quantitative Modelling of Operational Risk and Insurance Analytics
-Selected Topics in Statistics
-Stochastic Methods in Finance I
-Stochastic Methods in Finance II
-Stochastic Systems

Up to two from a choice of Computer Science modules including:
-Affective Computing and Human-Robot Interaction
-Graphical Models
-Statistical Natural Language Processing
-Information Retrieval & Data Mining

Dissertation/report
All students undertake an independent research project, culminating in a dissertation usually comprising 10,000-12,000 words. Workshops running during the teaching terms provide preparation for this project and cover the communication of statistics.

Teaching and learning
The programme is delivered through a combination of lectures, tutorials and classes, some of which are dedicated to practical work. Assessment is through written examination and coursework. The research project is assessed through the dissertation and a 15-minute presentation.

Careers

Graduates from UCL Statistical Science typically enter professional employment across a broad range of industry sectors or pursue further academic study.

The Data Science MSc is a new programme with the first cohort of students due to graduate in 2017. Recent career destinations for graduates of the related Statistics MSc include:
-Towers Watson, Actuary Analyst
-Proctor & Gamble, Statistician
-Ernst & Young, Audit Associate
-Collinson Group, Insurance Analyst
-UCL, PhD Statistical Science

Employability
Data science professionals will be highly sought after as the integration of statistical and computational analytical tools becomes increasingly essential in all kinds of organisations and enterprises. A solid understanding of the fundamentals is to be expected from the best practitioners. For instance, in applications in marketing, the healthcare industry and banking, computational skills should go along with statistical expertise as graduate level. Data scientists should have a broad background so that they will be able to adapt themselves to rapidly evolving challenges. Recent graduates from the related Statistics MSc have been offered positions as research analysts or consultants, and job opportunities in these areas are increasing.

Why study this degree at UCL?

UCL Statistical Science has a broad range of research interests, but has particular strengths in the area of computational statistics and in the interface between statistics and computer science.

UCL's Centre for Computational Statistics and Machine Learning, in which many members of the department are active, has a programme of seminars, masterclasses and other events. UCL's Centre for Data Science and Big Data Institute are newer developments, again with strong involvement of the department, where emphasis is on research into big data problems.

UCL is one of the founding members of the Alan Turing Institute, and both UCL Statistical Science and UCL Computer Science will be playing major roles in this exciting new development which will make London a major focus for big data research.

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Our MSc in Social Science Research Methods aims to provide advanced training in research methods across the full range of the social sciences. Read more
Our MSc in Social Science Research Methods aims to provide advanced training in research methods across the full range of the social sciences.

You will be provided with a thorough theoretical and practical knowledge of how to construct effective research studies, of the variety of data collection methods available to the social scientist and of the principal methods of analysing social scientific data. You will also be introduced to the political and ethical frameworks within which social science research is conducted, and to some of the ways in which the results of social science research are disseminated.

The course pathways have ESRC recognition and they each provide the appropriate training basis for proceeding to a PhD. These programmes provide extensive opportunities for interdisciplinary study, the application of social research expertise for occupational career development, and the pursuit of substantive areas of interest at postgraduate level.

Science and Technology Studies pathway

The Science and Technology Studies pathway through the Social Science Research Methods MSc is suitable for all students with an interest in the social dimensions of science and technology. We have research expertise in a range of substantive and methodological approaches and can offer supervision and training for students interested in:

Sociology of science and technology, including natural sciences, biotechnology, medicine and genomics
Nature, distribution and classification of expertise
Public understanding of, and engagement with, science and technology
Use of scientific advice and other forms of expertise in decision-making

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Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. Read more
Research in Computer Science at York is carried out at the frontiers of knowledge in the discipline. This course gives you the chance to study a range of advanced topics in Computer Science, taught by researchers active in that area. This means you will be learning current research results, keeping you at the forefront of these areas. You will also learn a range of theories, principles and practical methods.

The MSc in Advanced Computer Science is a full time, one year taught course, intended for students who already have a good first degree in Computer Science, and would like to develop a level of understanding and technical skill at the leading edge of Computer Science.

You can choose modules on a range of topics, including Cryptography, Functional Programming, Interactive Technologies, Natural Language Processing, Quantum Computation and Model-Driven Engineering.

Course aims
You will gain an in-depth knowledge of topics on the frontiers of Computer Science in order to engage in research or development and application of leading-edge research findings.

By undertaking an individual project, you will become a specialist in your selected area. You will be encouraged to produce research results of your own. This will prepare you to undertake a PhD in Computer Science should you wish to continue studying within the subject.

Learning outcomes
-A knowledge of several difference topics in Computer Science at an advanced level.
-An understanding of a body of research literature in Computer Science in your chosen topic, and the underlying principles and techniques of research in this area.
-An ability to engage in independent study at an advanced level, and develop skills in self-motivation and organisation.

Research Project

You will undertake your individual research project over the Summer term and Summer vacation. This will be a culmination of the taught modules you have taken during the course, which will allow you to focus on a specialist area of interest.

You will be allocated a personal supervisor, who will be an expert in your chosen area of research. You will be hosted by the research group of your supervisor, and you will benefit from the knowledge and resources of the whole group. Being attached to a research group also allows you to take part in their informal research seminars, and receive feedback and help from other members of the group.

You can choose from projects suggested by members of our academic staff. You also have the option of formulating your own project proposal, with the assistance from your personal supervisor.

All project proposals are rigorously vetted and must meet a number of requirements before these are made available to the students. The department uses an automated project allocation system for assigning projects to students that takes into account supervisor and student preferences.

The project aims to give you an introduction to independent research, as well as giving you the context of a research group working on topics that will be allied to your own. You will develop the skills and understanding in the methods and techniques of research in Computer Science.

As part of the assessment of the project, as well as your dissertation, you will give a talk about your work and submit a concise paper which we will encourage you to publish.

Information for Students

The MSc in Advanced Computer Science exposes you to several topics in Computer Science that are under active research at York. The material taught is preparatory to helping to continue that research, and perhaps continuing to a PhD. What we require from you are enthusiasm, hard work and enough background knowledge to take your chosen modules.

The modules on the MSc in Advanced Computer Science are mostly shared with our Stage 4 (Masters level) undergraduates. Your technical background will be different, and we acknowledge this.

During August we will send entrants a document describing the background knowledge needed for each module and, in many cases, references to where this knowledge is available (for example, widely available text books and web pages).

More generally, many of the modules expect a high level of mathematical sophistication. While the kind of mathematics used varies from module to module, you will find it useful to revise discrete mathematics (predicate and propositional calculi, set theory, relational and functional calculi, and some knowledge of formal logic), statistics and formal language theory. You should also be able to follow and produce proofs.

Careers

Here at York, we're really proud of the fact that more than 97% of our postgraduate students go on to employment or further study within six months of graduating from York. We think the reason for this is that our courses prepare our students for life in the workplace through our collaboration with industry to ensure that what we are teaching is useful for employers.

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Environmental earth science (or geoscience) covers a range of topics including hydrology, sedimentology and geomorphology. This coursework program provides specialist skills and knowledge for science graduates wanting to pursue careers in environmental earth science. Read more

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 coursework program 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

On successful completion, graduates will be able to:
*Demonstrate an advanced level of scientific knowledge from with their chosen major
*Critically analyse scientific theory, models, concepts and techniques from within their chosen major
*Critically read and evaluate quantitative and qualitative research findings from within their chosen major
*Apply analytic tools and methodologies to define and describe scientific problems from within their chosen major
*Communicate effectively and persuasively, both orally and in writing.

Award title

MASTER OF SCIENCE (MSc)

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?

JCU 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)

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