Gaining chartered status will help you to develop your role, as will keeping up to date with this fast-moving industry. Once you have gained some work experience in this role you can move up to a senior role, then team leader, then a senior role in management. It is also an option to move into a specialist technical role or a generalist role with more responsibility. A Masters or PhD in a geophysics or geosciences subject will help you to progress.
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You can progress to a senior geoscientist role with experience — with the chance to become a team leader or senior manager. Many will become chartered geoscientists, and it is important to take part in activities that will develop you professionally. You may also have a relevant MSc and experience of working as a geologist for an oil company. Graduates considering this career should aim for chartered geologist status. Many wellsite geologists go on to become operations geologists for oil companies, while others might undertake further training and become petrophysicists or reservoir engineers for oil companies.
You should have completed plenty of fieldwork during an Earth Science degree and will have perhaps even completed a placement year during your studies. You may want to add to this with paid or even voluntary work on short-term environmental projects. Work experience will help you to make decision about your future career as well as helping your CV to stand out. As well as a specific knowledge of geology, the practical side of your degree will provide you with expertise in field and laboratory investigations.
You will also learn: skills in observation, data collection, analysis and interpretation, the ability to prepare, process and present data as well as the ability to handle information in a range of different mediums. Many geology graduates go on to take a relevant MSc course, particularly those wishing to pursue a particular field within this subject. A number of students will also continue onto a PhD to develop specialist skill and knowledge.
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A degree in Chemical Engineering will enable you to be involved in ground- breaking technologies. This could lead you into a career in the oil and gas industry such as:. Career development tends to be dependent on achieving chartered status. However, it is possible to reach senior management much quicker than in other sectors. You will start to gain experience on a variety of projects before working towards project management, moving into research and development, a specialist role or more commercial areas.
Career development opportunities are high in this sector, with companies recruiting an increasing amount of new graduate engineers and promoting those that show potential. Graduates may progress from primarily technical roles through to senior technical roles. You must be willing to relocate for this role, which could take you all around the world. It is likely will start as a trainee after graduating and will gain experience you in a number of different aspects of project management.
You can then become a production supervisor or shift manager before becoming a production manager.
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You may eventually pursue a more strategic role or enter general management. You may want to complete a professional qualification to help with your progression. This is a valuable way to get first-hand knowledge of specialised industries and is useful if you are undecided about the area you wish to go in to. As well as technical knowledge, you will also pick up transferable skills such as problem-solving, project management, and presentation skills. Many graduates will go on to further study to gain professional status as a chartered engineer or incorporated engineer.
Others will go on to postgraduate studies in areas such as science or management. Starting as construction designers, structural engineers can quickly move on to being project managers. Gaining chartered status allows for professional recognition around the world. Once you have become a chartered quantity surveyor, you can work across a broad range of disciplines or you can specialise and develop an in-depth knowledge of a particular field.
You can also help your career progression by becoming a member of a relevant institute. Many will enter this profession via a structured graduate training programme, gaining experience in a range of areas before becoming fully chartered. Further qualifications and CPD in specialist areas will improve your job prospects. You can become senior before progress into team leadership, project management, consulting and management roles.
Any construction or civil engineering setting will help you to build up your knowledge and experience. Civil engineers are in demand, particularly in the oil and gas sector, for their technical and subject-specific knowledge and understanding. The skills you pick up will include critical thinking, the ability to interpret data as well as analytical and decision-making skills. Many new graduates who enter professional training with a civil engineering company will study part time while working, eventually becoming either chartered or incorporated engineers.
Postgraduate degrees will enable students to develop specialist knowledge. There are many different careers paths you can go down when working in the oil and gas industry. It is best to have in mind the type of role you might like to pursue so you can ensure your experience is in line with this.
This is an industry in which a few years of crucial experience translates into great opportunities and career advancements. Many companies also offer on the job training, which will help you to progress up the career ladder. Jobs in the oil and gas industry can be incredibly lucrative, and many include bonuses and overtime payment. However, there are a wide variety of roles available and pay will depend on your role and location — for starters.
Meanwhile, completion engineers and drilling consultants on average earn at least a six figure salary, if not more. Sometimes you may need to look past the big operators and contractors and look at working with the smaller more streamlined consultancies and concept companies in oil and gas.
I would also advise new graduates to spend as much time as possible learning all aspects of oil and gas and not rush to get promoted or move towards a senior position. Oil and gas Graduate guide. An estimated 12, new entrants To join this sector in the UK by The UK will be dependent on oil and gas for many decades to come, potentially even longer.
Update your CV and write your covering letter. Understand which entry-level job roles you should be applying for. Consider where those jobs can lead you. Think about any further training or qualifications you might need. CV for oil and gas graduate jobs: One of the first things you need to do is update your CV. Unstructured data is information that either does not have a pre-defined data model or is not organized in a pre-defined manner.
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Unstructured information is typically text-heavy, but may contain data such as dates, numbers, and facts as well. Semi-structured data is a form of structured data that does not obey the formal structure of data models associated with relational databases or other forms of data tables, but nonetheless contains tags or other markers to separate semantic elements and enforce hierarchies of records and fields within the data. An easy and simplified way to conceive of this is that structured data works in the specific context for its intended use , for example big data or small data sets with defined data types.
Usage may of course have unintended consequences. Data types in computer science and computer programming or simply type is an attribute of data which tells the compiler or interpreter how the programmer intends to use the data.
In computer science a compiler is a program that converts instructions into a machine-code or lower-level form so that they can be read and executed by a computer. Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena " with data. Now that we have a baseline for a discussion let us look at quality and qualitative. Quality is the standard of something as measured against other things of a similar kind; the degree of excellence of something.
Although there are likely other definitions. Qualitative data in statistics is also known as categorical data. This is data that approximates or characterises but does not measure the attributes, characteristics, properties, etc. Qualitative data describes whereas quantitative data defines. Qualitative data is distinguished by attributes that are not numeric and are used to categorise groups of objects according to shared features.
Exploring notions of qualitative data and research
Qualitative research is a scientific method of observation to gather non-numerical data. This methodology is often associated with the social sciences, perhaps particularly sociology and anthropology, however it is used in the natural sciences or other fields. You can as such see that notions of qualitative data and qualitative research share commonalities, yet diverges.
As an example an interview or a picture thought to be qualitative research, i. Words, sound, photography that are digital will be read by a central processing unit CPU as numbers. This raises some immediate thoughts or concerns:. They start telling of the potential embarrassment in machine learning projects were you did not think of the obvious and important features. Thus they argue data scientists without qualitative research can make assumptions about user behaviour that could lead to:.
In this context they posted a cartoon that emphasised their point. On that note I would recommend you check out cmx. Their journal article in Distill called AI Safety Needs Social Scientists published the 19th of February discusses how a specific qualitative method could be used.
Foundations in Data Science
Their proposed solution is to replace machine learning with people, at least until ML systems can participate in the complexity of debates we are interested in. Try with human participants first before considering to replace with ML. Of course qualitative data is far more than categorical data.
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