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Masters Degrees (Natural Science)

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A unique course, the only one of its kind in the UK, designed to fast track you into the industry. -Exclusive scholarship available for this course with RSPB.*. Read more
A unique course, the only one of its kind in the UK, designed to fast track you into the industry.

-Exclusive scholarship available for this course with RSPB.*
-Students will gain the skills and expertise needed to direct science, natural history and wildlife productions and the know-how to produce entire shows.
-The course gives students the ability to generate science and natural history programme ideas and formats.
-Gain the confidence and know-how to pitch those ideas to commissioning editors.
-Graduate with brilliant list of industry contacts and relevant skills for building a sustainable career as a Producer/Director.
-Work experince at the UK’s major wildlife production companies.
-Sir David Attenborough will deliver a masterclass/lecture to the students.

'A new MA designed to bring on the next generation of natural-history programme makers' BBC Wildlife

'You are the future. It’s up to you to change things about the way you look at the natural world, using formats I haven’t dreamed about.' Sir David Attenborough, NFTS Masterclass 2017 (Picture: Sir David Attenborough with Science and Natural History Students)

We welcome EU/EEA Students. Those accepted onto courses starting in 2018 will have their fees guaranteed at the UK rate for both years of the course. Postgraduate students can apply for a loan to help with their studies via the Student Loans Company Loans. A £ 10,000 loan is available to contribute to course and living costs. The Post Graduate Loan is only open to EU/EEA and UK Students who normally live in England. It is not currently available to Scottish, Welsh or Northern Ireland Students. Find out more here: https://www.thestudentroom.co.uk/content.php?r=22757-Postgraduate-Loan

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 led 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 / 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.

*RSPB Scholarship
An exclusive scholarship is available for this course, kindly provided by course partner, RSPB. This scholarship is open to students who live within the RSPB’s conservation remit of the UK and UK overseas territories including Anguilla, Bermuda, British Virgin Islands, Cayman Islands, Falkland Islands, Gibraltar, Montserrat, St Helena and Dependencies (Ascension Island & Tristan da Cunha), Turks and Caicos Islands, Pitcairn Island, British Antarctic Territory, British Indian Ocean Territory, South Georgia and South Sandwich Islands

How To Apply For Scholarship
-If you are accepted onto the Directing & Producing Science & Natural History MA, you will be invited to submit a funding application to apply for the scholarship.
-Funding applications are only open to successful applicants.
-Applicants will be asked to provide proof of citizenship to qualify for the scholarship.
-Click the link to download further information about the RSPB partnership: https://nfts.co.uk/sites/default/files/u102/Documents/Funding/RSPB_Scholarship_04_2017.doc

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Goal of the pro­gramme. Data science combines computer science and statistics to solve exciting data-intensive problems in industry and in many fields of science. Read more

Goal of the pro­gramme

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.

Further information about the studies on the Master's programme website.

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 elective studies in the MSc programme, or it might already be part of your bachelor-level degree.

Studies in the Data Science MSc programme include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.

Elective studies give you a wider perspective of Data Science. Your elective studies can be an application area of Data Science (such as physics or the humanities), a discipline that supports application of Data Science (such as language technology), or a methodological subject needed for the development of new Data Science methods and models (such as computer science, statistics, or mathematics).



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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.

About this degree

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.
  • Module descriptions can be found on the STS website.

Dissertation/report

All MSc students undertake an independent research project which culminates in a dissertation of 10,000–12,000 words.

Teaching and learning

The programme is delivered through a combination of seminars, lectures, tutorials and research supervision. Student performance is assessed through coursework such as long and short essays, advocacy work, and project work.

Further information on modules and degree structure is available on the department website: Science, Technology and Society MSc

Funding

For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.

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.

Recent career destinations for this degree

  • Complaints Handler, IPSO (Independent Press Standards Organisation)
  • Copy Editor, Spandidos Publications
  • Export Analyst, U.S. Army Military District of Washington
  • Medical Communications Intern, inVentiv Health
  • Senior Software Engineer, Kano

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.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

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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The MSc in Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science. Read more

The MSc in Data Science will provide you with the technical and practical skills to analyse the big data that is the key to success in future business, digital media and science.

The rate at which we are able to create data is rapidly accelerating. According to IBM, globally, we currently produce over 2.5 quintillion bytes of data a day. This ranges from biomedical data to social media activity and climate monitoring to retail transactions. These enormous quantities of data hold the keys to success across many domains from business and marketing to treating cancer or mitigating climate change.

The pace at which we produce data is rapidly outstripping our ability to analyse and use it. Science and industry are crying out for a new generation of data scientists who combine the statistical skills of data analysis and the computational skills needed to carry out this analysis on a vast scale.

The MSc in Data Science provides you with these skills. 

Studying this Masters, you will learn the mathematical foundations of statistics, data mining and machine learning, and apply these to practical, real world data.

As well as these statistical skills, you will learn the computational techniques needed to efficiently analyse very large data sets. You will apply these skills to a range of real world data, under the guidance of experts in that domain. You will analyse trends in social media, make financial predictions and extract musical information from audio files. 

The degree will culminate in a final project in which you will you can apply your skills and follow your specialist interests. You will do a novel analysis of a real world data of your choice. 

The programme includes:

  • A firm grounding in the theory of data mining, statistics and machine learning
  • Hands-on practical real world applications such as social media, biomedical data and financial data with Hadoop (used by Yahoo!, Facebook, Google, Twitter, LinkedIn, IBM, Amazon, and many others), R and other specialised software
  • The opportunity to work with real-world software such as Apache

Modules & structure

You will study the following core modules:

You will also choose from an anually approved list of modules which may include:

Skills & careers

Data Science is one of the fastest growing sectors of employment internationally. Big Data is an important part of modern finance, retail, marketing, science, social science, medicine and government. 

The study of a combination of long established fields such as statistics, data mining, machine learning and databases with very modern and strongly related fields as big data management and analytics, sentiment analysis and social web mining, offers graduates an excellent opportunity for getting valuable skills in advanced data processing. 

This could lead to a variety of potential jobs including: 

  • Data Scientist
  • Data Mining Analyst
  • Big Data Analyst
  • Hadoop Developer
  • NoSQL Database Developer
  • R Programmer
  • Python Programmer
  • Researcher in Data Science and Data Mining

Find out more about employability at Goldsmiths.



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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.

About this degree

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 provided it contributes to a coherent programme of study.
  • Module descriptions can be found on the STS website

In addition, students choose three ancillary modules which may be options from our degrees, or selected from any other programme at UCL.

Dissertation/research project

All MSc students undertake an independent research project which culminates in a dissertation of 10,000–12,000 words.

Teaching and learning

The programme is delivered through a combination of seminars, lectures, tutorials and research supervision. Student performance is assessed through coursework such as long and short essays, advocacy work and project work.

Further information on modules and degree structure is available on the department website: History and Philosophy of Science MSc

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.

Recent career destinations for this degree

  • Art Gallery Curator, Dia Projects
  • PhD in History of Medicine, UCL

Employability

During the course of this programme, students will develop a wide range of transferable skills, including writing, research, critical thinking, and working in collaboration with others. Most graduates of this programme go on to follow careers that engage with the substance of the degree, including in the museums sector, or in academia. For these students, this programme provides an excellent opportunity to develop the specialist skills and personal connections necessary to succeed. These include basic curatorial skills, developing personal contacts in London museums, and developing personal and intellectual connections with key thinkers in the field.

Careers data is taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2013–2015 graduating cohorts six months after graduation.

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 Culture. We also use the city as a classroom, with custom-made walking tours, site visits, and special excursions.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Science & Technology Studies

82%: History subjects; 75%: Philosophy subjects rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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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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Many of the most pressing issues facing New Zealand and the world today—climate change, the loss of biodiversity, and how to respond to new technologies—can't be solved using traditional scientific approaches. Read more

Many of the most pressing issues facing New Zealand and the world today—climate change, the loss of biodiversity, and how to respond to new technologies—can't be solved using traditional scientific approaches.

In the age of social media, clickbait headlines and 'fake news', new means of communicating science and engaging different groups and communities are required.

The 180-point Master of Science in Society is a cross-disciplinary programme that combines taught courses, research projects and your choice of final project to give you a practical understanding of the role of science in society.

You'll learn how to engage New Zealanders in conversations about the science that impacts their lives so they can make informed decisions. Find out how you can influence policy change and research priorities.

Broad perspectives

Develop your understanding of contemporary scientific issues, and draw from a range of diverse fields such as philosophy, history and the creative arts to gain a broader and more nuanced perspective on science.

Gain an insight into the range of perspectives different communities have on scientific and environmental issues, and explore the important role of mātauranga Māori and other indigenous knowledge in science decision-making.

The Master of Science in Society is suited to students who are interested in science but don't want to pursue a traditional postgraduate science research programme. If you're interested in more effective public engagement around key scientific issues like conservation and pest eradication, or you're keen to pursue a career in science policy or advocacy, this degree is a good choice for you.

Learn from the best

Learn from award-winning academics and professionals who are leaders in the field of science communication, public engagement with science, natural and social science, the humanities and the arts. You'll also be exposed to a wide range of expertise from across the university and from visiting experts.

How you’ll study

The Master of Science in Society has two parts. The first part takes place in Trimester One, is based on-campus and is compulsory for all students.

In Part 1, you'll focus on developing your critical thinking and communication skills in four taught courses. Look at the theory and practice of science communication, and gain a grounding in contemporary scientific issues and theories. Explore perspectives on science from different cultures and from across the humanities and social sciences.

You'll choose from three of four core 400-level courses, and complete an additional approved course worth 15 points.

The field component of SCIS 589, the Science Communication Project, also takes place during Trimester One.

You'll go on to put your learning into practice in Part 2 by completing your science communication project and a research essay. You'll also choose to do a work placement or a research project, or choose other relevant courses from another discipline of your choice, such as Māori Studies, Public Policy or Conservation Biology.

While working on your final projects you'll be supervised by subject experts from within and outside of the university, and will continue to meet regularly with your fellow students in tutorials or seminar sessions.

Study off-campus

You can complete Part 2 of your Master's remotely if your placement or research project takes place outside Wellington. You'll need to have sufficient internet access to take part in online seminars, lectures and workshops.

Duration and workload

The Master of Science in Society will take you three trimesters (one year) of full-time study, or up to three years if you are studying part time.

If you are studying full time, you can expect a workload of 40–45 hours a week for much of the year.

If you're a part-time student, you can estimate your workload by adding up the number of points you'll be doing. One point is roughly equal to 10–12 hours work.



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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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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

Structure

The course can be completed in one year with full-time study or in three years by part-time study.

You will be required to complete six 20-credit modules - five core research modules and one specialist pathway module. In all modules, you will have the opportunity to engage with literature and research relevant to your pathway.

On successful completion of the taught component, you will prepare a dissertation of a maximum 20,000 words. The 60-credit dissertation component requires independent study. You will choose your dissertation topic in agreement with your supervisor.

Core modules:

Developing Core Research Skills
Foundations of Social Science Research
Qualitative Research Methods
Quantitative Research Methods
Research Applications
Introduction to Science, Technology and Society
Dissertation

Teaching

Your programme will be made up of scheduled learning activities (including lectures, seminars, tutorials and practical sessions) and guided independent study.

You will be expected to actively engage in all the educational activities on your programme of study, to prepare for and attend all scheduled teaching activities, and continue your development as an independent and self-directed learner.

Assessment

You will have to successfully complete the taught component which comprises of 120 credits.

On successful completion of the taught component, you will prepare a dissertation of a maximum 20,000 words

Career prospects

This programme provides knowledge and expertise suitable for careers in research and development, business, market studies, public agencies at international, national and local levels, education, teaching and other public services work, and voluntary organisations.

It also provides appropriate training for proceeding to a PhD.

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Why this course?. Physics is the fundamental science. As a teacher of physics, you’ll inspire learners with knowledge of the laws governing our natural world and its place in the universe. Read more

Why this course?

Physics is the fundamental science. As a teacher of physics, you’ll inspire learners with knowledge of the laws governing our natural world and its place in the universe. From how we can harness and use energy, to the discovery and exploration of planets and stars, physics covers a range of applications of the relationships that have been discovered through experiment and calculation.

One of the highlights of the course for many student teachers is attending the residential Scottish Universities’ Science School (SUSS) where you will meet the student teachers of science from the other Scottish Universities. SUSS offers an excellent opportunity to begin networking with other future science teachers.

Worldwide qualification

This course is a professional training course which qualifies you to teach secondary education. The qualification is recognised throughout the world and is regulated by:

  • the General Teaching Council for Scotland (GTCS)
  • the Scottish Government

What you'll learn

While on campus you'll attend two general teaching modules:

  • Educational Perspectives & Policies (EPP)
  • Principles, Policies & Practice (PPP)

Educational Perspectives and Policies will develop your understanding of educational issues in a broader intellectual context while Principles and Policy in Practice is the companion module to Educational Perspective and Policies. It shares a focus on critical professional engagement informed by educational research and theory. Tutorials for both classes provide the opportunity to work with students from different subjects and from within the primary sector.

The course builds confidence in students to allow them to perform to their full potential by equipping them with the theoretical knowledge and practical skills they require.

Subject specific classes are known as Creative Contexts for Learning (CCL). Here, you’ll learn about pedagogical approaches specific to physics with a highly experienced tutor.

The course also has links with several leading professionals in the world of physics teaching, who deliver school related aspects for the course. This time is used to familiarise you with the curriculum, allow you to collaborate with students and begin to plan lessons, develop materials, teach mini-lessons and to learn innovative and motivating ways to deliver the curriculum effectively.

The physics component of the PGDE course builds on your existing knowledge of physics to transform it into a form which school pupils can understand. You will work in groups with other student teachers to explore the practicalities of teaching a physics class before, during and after the lesson:

  • what prior knowledge do the pupils have about the topic? 
  • what misconceptions are they likely to have and how can you address them? 
  • what about behaviour management?
  • how can you plan practical work so that it engages pupils’ thinking? 
  • how can you develop pupils’ knowledge and understanding of physics?
  • how can you help pupils to learn to love physics?
  • once you have the taught the lesson, how you will reflect on what you could do better the next time?

All science teachers in Scotland have a specialist science teacher qualification in physics, chemistry or biology. They are also qualified to teach general science in first, second and third year in schools. In addition to learning about the pedagogy of teaching physics, chemistry or biology, student teachers of science also have an additional twenty hours of study to learn how to teach general science. This component is taught in mixed groups of physics, chemistry and biology student teachers to allow students to learn from one another and to simulate working in a school science department or faculty. The general science component is taught by a combination of experienced science teacher educators and seconded teachers.

In addition, the general science component draws on the expertise of science educators from the Glasgow Science Centre and includes a visit to the Centre or other suitable sites to consider out-of-classroom learning in science. The general science component of the specialist PGDE science courses makes it easy for qualified teachers to find employment as teachers outside Scotland.

You will also complete a Professional Specialism (PS) module which can be self-directed or comprised of on-campus classes which aims to allow you to develop your knowledge in an educational area of particular interest.

Placement

You'll spend 18 weeks of the course on placement in a school within Scotland. You'll be continually assessed while there to show you meet the requirements for the Standards for Provisional Registration.

You must attend your placement school throughout the full working day. You must also attend school on staff in-service days, unless told otherwise by your school. 

Placement is your chance to put what you're learning into practice. You'll explore your own teaching style, learn new techniques and develop relationships with your pupils.

You must keep a portfolio of progress while on placement. This placement file will form part of the evidence of your meeting the Standards for Provisional registration and prepares you for the continuation of professional development during your professional teaching career.

Guaranteed employment for Scottish & EU students

If you're a Scottish or EU student, you're guaranteed a job for one year in a Scottish school after you graduate. This is part of the GTCS Teacher Induction Scheme.

Following graduation you should contact the GTCS for provisional registration. Once you complete your probationary year, you'll be awarded full registration.

Work anywhere in Scotland

As a newly qualified teacher, you can receive an additional £8,000 under the Preference Waiver Scheme if you agree to work anywhere in Scotland for your induction scheme.



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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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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.

About this degree

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 in 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 Machine Learning
  • Statistical Design of Investigations
  • Statistical Computing

Optional modules

At 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 of 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.

Further information on modules and degree structure is available on the department website: Data Science MSc

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:

  • Management Associate, HSBC
  • Statistical Analyst, Nielsen
  • PhD in Statistics, UCL
  • Mortgage Specialist, Citibank
  • Research Assistant Statistician, Cambridge Institute of Public Health

Employability

Data science professionals are likely to be increasingly sought after as the integration of statistical and computational analytical tools becomes essential in all kinds of organisations and enterprises. A thorough 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 should be accompanied by statistical expertise at graduate level. Data scientists need a broad background knowledge so that they will be able to adapt 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.

Research Excellence Framework (REF)

The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.

The following REF score was awarded to the department: Statistical Science

82% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)

Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.



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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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MSc Geo-Information Science. Do you want to contribute to solving multidisciplinary and complex issues using Geo- information science, geo-informatics and remote sensing? Then the master's Geo- Information Science is a perfect match for you!. Read more

MSc Geo-Information Science

Do you want to contribute to solving multidisciplinary and complex issues using Geo- information science, geo-informatics and remote sensing? Then the master's Geo- Information Science is a perfect match for you!

The increasing complexity of our society demands for specialists who can collect, manage, analyse and present spatial data using state-of-the-art methods and tools. At Wageningen University & Research we offer a unique, top-quality programme that blends geo-information science methods, technologies and applications within environmental and life sciences for a changing world. Our Geo-information Science graduates usually have a job waiting for them on graduation. Read more about the background of the programme

Specialisations

There are no formal specialisations in the Geo-Information Science programme. You can specialise by taking advanced courses in GIS and/or Remote Sensing, and by selecting courses in a range of application fields or geo-information technology. Furthermore, you develop your Geo-information Science profile by completing a major research thesis in one of the following research fields:

Your choice of internship location is another factor in developing your profile and specialisation.

Your future career

The increasing demand for digital geographical information has resulted in a phenomenal growth in the discipline of Geo-Information Science. The demand for geo-information is the result of an increase in environmental problems and the need to manage the natural and the social environment.The increasing demand for digital geographical information has resulted in a phenomenal growth in the discipline of Geo-Information Science.

The overview below provides more detailed information about the fields and positions taken by our alumni on graduation:

In Research

  • PhD
  • Researcher
  • Research Assistant

In Consultancy

  • Remote Sensing Specialist
  • Consultant
  • GIS adviser
  • Geo-information Manager
  • Geo-information Analist

In Education

  • Lecturer

Read more about career perspectives and opportunities after finishing the programme.

Related programmes:

MSc Geographical Information Management and Applications

MSc Forest and Nature Conservation 

MSc Landscape Architecture and Planning

MSc Environmental Sciences 

MSc Biosystems Engineering



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CONNECTING THE WORLD OF SCIENCE AND BUSINESS. Companies and institutions need professionals with the skills to manage and market knowledge-intensive products, as well as professionals with a solid understanding of the scientific principles underlying products and processes. Read more

CONNECTING THE WORLD OF SCIENCE AND BUSINESS

Companies and institutions need professionals with the skills to manage and market knowledge-intensive products, as well as professionals with a solid understanding of the scientific principles underlying products and processes.

Our Master's programme Science and Business Management (SBM) offers you a unique training that will enable you to translate interesting ideas into innovative products.

Our degree programme enables graduates of bachelor’s programmes in the life- or natural sciences to combine their passions for science and business. The programme will equip you with the knowledge and tools to identify, manage, and overcome problems that arise in each phase of the innovation process.

Students chose the Master's programme Science and Business Management at Utrecht University as the best programme in the field in the yearly review 'Beste studies' by Elsevier.

PROGRAMME OBJECTIVE

SBM is aimed at students with a Bachelor’s degree in Life Sciences or Natural Sciences, who are interested in a business career. The first year comprises a science-focused programme, in which you will receive training in a research environment within your area of expertise. A solid understanding of science is essential to bring science-based products to the market. In the SBM programme, you will build on your academic background in science while adding knowledge of business processes and practical skills for commercial settings.

From scientific research to a business internship 

Importantly, you will also focus on the strategic value and applicability of scientific research. In the second year you will obtain business management skills and learn about operations management, organization and strategic management, marketing, economics, entrepreneurship and effective communication in a business environment. You will apply your skills at the final stage of the master, during an internship at a national or international company of your choice. The internship must be sufficiently challenging and is subject to approval by the coordinator.

Interactive community

Particularly important in the programme is the level of interaction between students and lecturers. Students will regularly meet to present and share their projects and will work closely together. A strong sense of community is initiated by the programme, and also by the SBM study Association Business For Life’. These enthusiastic students organize workshops, talks but also social events



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