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Geoinformatics course details

What will I learn?

This programme will educate students in the geometric and semantic aspects of BIM and the integrated management of geospatial and BIM-related data. This includes principles of surveying, 3D reality capture, a general overview of technologies related to mapping sciences, geo-information science and 3D geometric modelling.

Why should I study this degree at UCL?

UCL Civil, Environmental & Geomatic Engineering is an energetic and exciting environment. Students have the advantages of studying in a multi-disciplinary department with a long tradition of excellence in teaching and research, situated at the heart of London.

Through its research collaborations the department is in close contact with key industry leaders such as Arup, SKANSKA and Autodesk. Through these contacts it has been possible to verify the industry's need for the exact skills this training will provide.

The department is seeking accreditation from the Royal Institution of Chartered Surveyors (RICS) for this new programme.

Degree Structure

Students undertake modules to the value of 180 credits. The programme consists of seven core modules (105 credits), one optional module (15 credits) and a dissertation/report (60 credits).

A Postgraduate Diploma (120 credits, full-time one year) is offered

Core Modules

Applied Building Information Modelling
Data Analysis
GIS Principles and Technology
Mapping Science
Principles and Practices of Surveying
Spatial Data Management
Terrestrial Data Acquisition

Options

Either Survey Project or Image Understanding

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 through a combination of lectures, practical exercises, and involvement in projects. Assessment is through written examination, coursework and project work.
Further details available on subject website:

How to apply

You may choose to apply online or download application materials; for details visit

Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.

The programme is suitable for students from a variety of backgrounds e.g. geomatics, civil engineering, architecture and quantity surveying who wish to develop the skills necessary for careers in building information modelling.

What are we looking for?

When we assess your application we would like to learn:

why you want to study Geoinformatics for Building Information Modelling at graduate level
why you want to study Geoinformatics for Building Information Modelling at UCL
what particularly attracts you to this programme
how your personal, academic and professional background meets the demands of a challenging programme
where you would like to go professionally with your degree

Together with essential academic requirements, the personal statement is your opportunity to illustrate whether your reasons for applying to this programme match what the programme will deliver.

Your Future Career
Graduates are likely to find work on UK government construction projects and also with international corporations.

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The southwest region of the United States is ideally suited for this. In fact, a solar farm 100 miles by 100 miles could satisfy 100% of the America’s annual electrical needs. Solar technology primarily addresses the peak power demands facing utility companies in the Southwest U.S. and other solar-rich areas.

Depends

by tlbrink

The cost of living and job markets are better than the national average, but the best job strategy is not to go for averages, but look at your specific skills and experiences, figure out which careers that relates to, and then go to that geographical area:
technology - Silicon Valley
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by BurpBoohickie

WASHINGTON (Reuters) – Scientists have sequenced the DNA from four frozen hairs of a Greenlander who died 4,000 years ago in a study they say takes genetic technology into several new realms.
Surprisingly, the long-dead man appears to have originated in Siberia and is unrelated to modern Greenlanders, Morten Rasmussen of the University of Copenhagen and colleagues found.
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