F181 MSc Subsurface Characterisation and Geomodelling
For a geoscience career in a changing world
Geoscientists with digital skills able to manage and critically evaluate subsurface data are required in a range of applied industries and research areas. This one-year taught MSc course is designed to equip you with the training to understand, model and visualise the subsurface using a range of datasets and to make expert interpretations and predictions. This industry-facing programme is tailored to provide geoscientists with the expertise needed for the transition to a low carbon sustainable society. Graduates will acquire modern skills in applied geoscience that are applicable across a range of sectors, including mineral resources, energy, geothermal, groundwater, carbon sequestration, geotechnical services, national geological surveys and waste management. Training will be provided in the principles and methods of the acquisition, analysis and digital modelling of data from the shallow and deep subsurface. Modules will cover aspects of 3D mapping; stratigraphic prediction; 'hard rock' characterization; Quaternary geology; applied structural geology; data processing; geophysical methods; remote sensing; geostatistics; fractured rock characterisation; geofluids; geomechanics and geomodelling. As part of the course you will also receive training in state of the art industry software (e.g., Petrel and Leapfrog, GIS) and develop a range of soft skills (e.g. presenting, reporting and programming) required by industry. The wide range of sought-after transferable skills will provide flexibility in your future career choices in either industry or regulatory and applied research organisations requiring digital subsurface characterisation and modelling.
For more details on the course content, see: http://www.ucd.ie/earthsciences/study/mscsubsurfacecharacterisationandgeomodelling/
Based in the School of Earth Sciences on UCD's modern parkland campus on the south side of Dublin, the course draws on extensive applied geoscience expertise within the school and a dedicated teaching space including workstations and the latest interpretation and modelling software. The programme combines classroom-based instruction, extensive practical workstation experience with industry-standard software, team-based exercises and field visits.
Entry to the programme requires an Honours undergraduate degree at 2.1 or higher (or equivalent) level in Earth Science or Geoscience. Consideration will be given to applicants with similar qualifications in cognate areas (e.g. Geophysics/Physical Geography), and to those with significant and relevant work experience but who do not meet this criterion. Full details of the fees and application process are available on http://www.ucd.ie/graduateadmissions/
For more details contact Course Director Prof Peter Haughton at Peter.Haughton@ucd.ie.
Vision and values
This programme provides graduates and company staff seeking career advancement with the key knowledge, skills and tools required to be successful geoscientists across the range of industries and applied research organisations working with subsurface data. We value ambition and passion to be expert problem-solvers through the application of sound geological reasoning, models and quantitative techniques. We provide a learning environment that develops students' ability to solve complex subsurface problems in a creative but pragmatic manner, to present results effectively to management and clients, and to work both individually and in teams as required in a business context. A strong emphasis is placed on learning and assessment through individual and team-based practical exercises in both the classroom and field. Students work with a wide range of industry datasets and workflows, using state-of-the-art techniques and software. The curriculum facilitates direct engagement with industry personnel via tailored short courses, site visits, joint fieldwork and business-style technical presentations.
Programme Learning Outcomes
On completion of the programme students should be able to: