The internationally recognised Camborne School of Mines is offering a brand new Mining Professional Programme, comprising a suite of courses for international mining staff giving an insight into every part of the mining business.
You will start by getting a flexible, industry-relevant immersion into the mining value chain and this can be followed by more detailed study of Mining Engineering: an integrated postgraduate programme delivered by mining experts and aligned with industry needs.
This is the future of mining education; industry aligned courses, learning while you work, forming interdisciplinary industry wide professional networks and exposure to diverse international mining practices.
Open to experienced mining industry staff; even without degrees but with appropriate experience, the course opens up the entire mining value chain, from finance, mineral deposit geology and exploration through mining and mineral processing methods to environmental & social impacts and mine closure.
The overall aim is to equip students with the business knowledge of the entire mining pipeline and the technical knowledge to support career progression in the area of mining operations. Students will gain interdisciplinary mine-site problem solving, and critical industry insight.
The programme is suitable for mining, engineering and geology graduates currently employed in the minerals industry, and other commercial and technical mining staff with suitable experience. The course cohort will ideally comprise those with widely differing roles across the mining industry. The blended learning approach allows these industry staff to undertake accredited educational studies while maintaining their industry work roles.
In addition to gaining the headline qualification, the programme will also deliver the following unique benefits:
• The course is particularly designed for those currently working in industry
• Establishing networks with industry professionals and across specialisms
• Opportunity to view world class mines during the mine study tour
• A value chain view of the mining industry
• Industry focused using real world case studies and examples
• Involves both technical and professional skills development
Diverse course delivery methods and assessment types are utilized to develop well-rounded Mining Professionals with broad industry knowledge.
This programme provides a robust understanding of the complete mining life cycle, from exploration and development to extraction and processing methods to waste management and mine closure. It is an excellent programme for new entrants into the mining business as a fast-track career induction.
The following are examples of the modules you might expect to study;
• Module 1 - Discovery: Introduction to the Mining Value Chain; Introduction to Geology, Rock Properties and Ore Forming Processes; Mineral Exploration; The Mining Business and Mineral Economics.
• Module 2 - Design: Deposit Evaluation and Resource Estimation; Introduction to Mining Methods and Mine Method Selection; Mine Planning and Mine Construction and Pre-production Decision Making
• Module 3 - Recovery: Principles of Surface Mining Operations; Principles of Underground Mining Operations; Mineral Processing; Mine Waste Management and Mineral Products
• Module 4 - Impacts: Environmental and Social Impacts of Mining; Economic Impacts of Mining (downstream and side stream investment); Mine Closure and Remediation and Corporate and Social Responsibility and the License to Operate
The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Please see the website for up to date information http://www.exeter.ac.uk/postgraduate/taught/mining-engineering/pgcert-mining-professional/#Programme-structure
The internationally recognised Camborne School of Mines offers a Mining Professional Programme, comprising of a suite of courses for international mining staff giving an insight into every part of the mining business.
You will start by getting a flexible, industry-relevant immersion into the mining value chain and this can be followed by more detailed study of Mining Engineering: an integrated postgraduate programme delivered by mining experts and aligned with industry needs.
This is the future of mining education; industry aligned courses, learning while you work, forming interdisciplinary industry wide professional networks and exposure to diverse international mining practices.
Open to experienced mining industry staff; even without degrees but with appropriate experience, the course opens up the entire mining value chain, from finance, mineral deposit geology and exploration through mining and mineral processing methods to environmental & social impacts and mine closure.
The overall aim is to equip students with the business knowledge of the entire mining pipeline and the technical knowledge to support career progression in the area of mining operations. Students will gain interdisciplinary mine-site problem solving, and critical industry insight.
The programme is suitable for mining, engineering and geology graduates currently employed in the minerals industry, and other commercial and technical mining staff with suitable experience. The course cohort will ideally comprise those with widely differing roles across the mining industry. The blended learning approach allows these industry staff to undertake accredited educational studies while maintaining their industry work roles.
In addition to gaining the headline qualification, the programme will also deliver the following unique benefits:
• The course is particularly designed for those currently working in industry
• Establishing networks with industry professionals and across specialisms
• Opportunity to view world class mines during the mine study tour
• A value chain view of the mining industry
• Industry focused using real world case studies and examples
• Involves both technical and professional skills development
Diverse course delivery methods and assessment types are utilized to develop well-rounded Mining Professionals with broad industry knowledge.
Application period/deadline: March 14 - 28, 2018
• High level education covering the whole mine value chain
• Shared courses in geosciences and engineering, including both theory and practice
• Excellent, cutting-edge infrastructure for research and education in close cooperation with the mining industry
The international master´s degree programme in Mineral Resources and Sustainable Mining (MRSM) is a two-year programme focusing on education in mining-related subjects. The programme provides master’s degrees in two fields: geosciences and engineering.
The specialisation lines in the field of geosciences are Economic Geology and Quaternary Geology and in the field of engineering sciences, they are Mining Engineering, Mineral Processing, and Applied Geophysics.
The programme will give you excellent skills and understanding on the whole mine value chain and principles of sustainable mining, including:
• Theoretical studies in geosciences and engineering
• Economical and environmental aspects of mining
• Hands-on practice in the well-equipped Oulu Mining School Research Centre and in the field
• The latest modelling and simulation education related to the topics
• Instrumental skills in mineral analytics
The two-year programme has five specialisation options:
Economic Geology focuses on characterisation of mineral deposits and geological processes behind their genesis, forming a basis for mineral exploration. Central topics include ore geology, regional geology, mineralogy, geochemistry, mining industry, and exploration. The obtained proficiency can be used in mineral exploration or exploitation of natural resources in private companies or research institutes.
Quaternary Geology covers a wide range of sub-disciplines including glacial geology, sedimentology, ore prospecting techniques, and hydrogeology. Education is also covering global change issues in the northern hemisphere and the Arctic. The programme will give in depth understanding of the properties of glacial sediments and deposits, their genesis and use for ore prospecting and for geotechnical purposes.
Mining Engineering covers a wide range of topics, including geotechnique, mining technologies, analysis of production capacity, and financing. The expertise can be used in design and management of metal mines as well as in other operations related to exploitation of raw materials.
Mineral Processing deals with the processes to economically separate valuable minerals from the ores. Oulu Mining School has unique, continuous mode in-house concentrating plant that provides an excellent infrastructure for training and education purposes. The environmental aspects of processing, health and safety in the plants, and collaboration with the mining industry are essential parts of education.
Applied geophysics concentrates on the basic phenomena in geophysics and how to apply the knowledge for example in exploration, mapping and management of natural resources, and in environmental and engineering studies. In the life cycle of a mine, geophysics plays an important role in all stages: before opening the mine in mineral exploration and resource assessment, during active mining operations in exploration for additional resources and environmental monitoring, and after the closure of the mine in environmental monitoring and mapping of potentially contaminated areas.
Graduating students understand and govern the technical, geological, financial, regulatory, environmental and social aspects of sustainable mining. Job opportunities exist in all fields related to the mining value chain including exploration, mining, mineral processing, and other kinds of rock engineering both in the industry and in research.
This full time 12 month intensive programme is designed to provide advanced specialised training for earth science graduates, leading to excellent employment opportunities in the extractive industry. It is suitable for those who already have an honours degree in geology, mining/minerals engineering or a related subject.
You will attain a comprehensive understanding of the role of a geoscientist working in the mining industry. New skills include underground geological and geotechnical mapping, surveying, mineral exploration, ore microscopy, ore deposit modelling and mine planning. In-depth coverage of mineral resource estimation and grade control, mineral extraction and management, mining law and the environmental impact of mining, enable skills in quantifying the economic value of an ore body and assessing its potential for exploitation to be attained. There is emphasis on acquiring knowledge of the geological characteristics and genesis, methods of exploration, extraction and processing techniques of the major types of metalliferous ore deposit, bulk commodities and industrial minerals.
Taught modules are presented over two semesters and individual projects are undertaken throughout the summer vacation, often as industrial placements with a mining/exploration company. Recent projects have been carried out in all major mining countries on six continents, including Australia, Tanzania, Mongolia, Chile as well as in the UK.
You will study 180 credits to obtain an MSc and 120 credits for a PgDip
The compulsory modules can include;
Some examples of the optional modules are;
The modules listed here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand
Formal teaching ends in late April/May with a field excursion to examine the geology and visit mines in an area of the world famous for its mining activity. Extensive use is made of Camborne School of Mines' underground mine facilities, laboratories, mineral processing pilot plant, and the superb field geology and extractive industry operations in South West England.
With the rapid development of smart sensors, smartphones and social media, "big" data is ubiquitous. This new MSc teaches the foundations of GIScience, database, spatial analysis, data mining and analytics to equip professionals with the tools and techniques to analyse, represent and model large and complex spatio-temporal datasets.
Students will be equipped with computational foundations and skills needed for big data analytics including visualisation, prediction, clustering and simulation with statistical and machine learning approaches, as well as retrieving and mining big (open) data, web services and cloud computing, web and mobile applications, by practising with real case data and open software.
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 dissertation/report (60 credits).
A Postgraduate Diploma, four core modules (60 credits), two optional modules (60 credits), full-time nine months is offered.
Core modules
Choose four options from the following:
Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 15,000 words.
Teaching and learning
The programme is delivered through a combination of lectures, seminars, and laboratory practicals. Assessment is through examination, coursework, practicals, dissertation, and poster presentation.
Further information on modules and degree structure is available on the department website: Spatio-temporal Analytics and Big Data Mining MSc
For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
Graduates from this programme are expected to find positions in consultancy, local government, public industry, and the information supply industry, as well as in continued research. Possible career paths could include: data scientist in the social media, finance, health, telecoms, retail or construction and planning industries; developer of spatial tools and specialised spatial software; researcher or entrepreneur.
Employability
Graduates will be equipped with essential principles and technical skills in managing, modelling, spatial and spatial-temporal analysis, visualising and simulating "big" spatio-temporal data, with emphasis on real development skills including: Java, JavaScript, Python and R. Business Intelligence (BI) skills will also be taught via practical case studies and close collaborations with leading industrial companies and institutions. All these skills are highly valued in big data analysis.
As one of the world’s top universities, UCL excels across the physical and engineering sciences, social sciences and humanities.
Spanning two UCL faculties, this interdisciplinary programme exploits the complementary research interests and teaching programmes of three departments (Civil, Environmental & Geomatic Engineering, Computer Science, and Geography).
Students on the Spatio-Temporal Analytics and Big Data Mining programme will be part of a vibrant, enthusiastic, and international research environment in which collaboration and free-ranging debate are strongly encouraged. This is supported by weekly research seminars and industrial seminars from top employers in the field.
Mining is an fascinating, global industry that is essential to societal progression. It provides the materials for production and is a leading industry in terms of technological innovation. This MSc is ideal for engineering and geologists already in employment that are looking for skills and knowledge enhancement. In addition, it is also suitable for geology and engineering graduates that wish to specialise in the following areas: mine, general management and excavation (geotechnics and tunnelling).
Students will learn specialist analytical, design and management skills that are relevant to industry. In addition, this programme also has excellent links with both the local and international minerals industry, which is reflected in its mix of UK and international students, and project-work is often centered around a company or business.
This programme is taught by the internationally established and world-class Camborne School of Mines (CSM), a combined mining school and geoscience department. This degree is professionally accredited under licence from the Engineering Council, as meeting the requirements for Further Learning for a Chartered Engineer (CEng) for candidates who have already acquired an Accredited CEng (Partial) BEng (Hons) undergraduate first degree. Visit the Accreditation tab for further information.
You can either study the course full time over a year or part-time over 3 years.
The compulsory modules can include;
Some examples of the optional modules are;
The modules listed here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. For up to date information please see the website.
The taught part of the programme is structured into two terms. Field visits and practical field-based assignments are used, where appropriate, to emphasise key areas within each module.
For the award of the Masters (MSc), you must pass four modules and complete a project and dissertation. To obtain a Postgraduate Diploma (PgDip), you must pass two modules and a project with dissertation.
Students are encouraged to undertake projects directly linked with industry, which may result in industrial placements for their project period.
This course was developed and is run in conjunction with SAS, it will provide you with the knowledge and skills to effectively research, develop and apply business intelligence systems. These are computerised information systems which support an organisation in the decision making process. Many of the techniques used in this area are underpinned by predictive statistics and mathematical modelling. This course will emphasise the concepts and techniques of business intelligence systems and their application and development. You will have access to specialist computing laboratories including one suite reserved specifically for postgraduate students. Upon graduating you be well placed to take up more general management and business information systems development roles within industry, or to undertake academic researchin this field.
• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation
• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation
• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems
• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work
• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM
First semester
• Fundamentals of Business
Intelligence Systems
• Data Warehouse Design and OLAP
• Research Methods
• Statistics
Second semester
• Data Mining
• Business Intelligence Systems
Application and Development
• Analytics Programming
Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks
Third semester
• Final Project
Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.
Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.
The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.
Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.
This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.
To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx
Applying for a postgraduate course:
Funding for postgraduate students:
The Faculty of Law of the University of Pretoria, widely known as Africa's Global Law Faculty, forms part of an unsurpassed network of universities from the African continent and abroad, with graduates from its post-graduate programmes filling leading positions across the region. The quality and relevance of the Faculty’s post-graduate programmes are widely acclaimed, and recognised as such by the likes of the United Nations and the African Union through the awarding to the Faculty of its highest honours.
An established suite of cutting edge masters programmes focussed on Africa, addresses themes as diverse as human rights and democratisation, to trade and investment law in Africa. Adding to this selection, the Faculty is now offering a specialised masters programme in extractive industry law in Africa.
A first for the continent, this programme focusses on extractive industries in African from a multi-disciplinary perspective, with a particular emphasis on the law aspects associated with contemporary oil, gas and mineral extraction. In addition to lectures presented by eminent academics and practitioners in this field of law, the learning experience is enhanced, as never before, by comprehensively incorporating aspects of macro- and micro economics and management, finance, mining engineering and earth sciences. The student experience is further enriched by field visits to operational mines and extractive industry operations, related organisations and institutions.
The aim, as with other masters programmes presented by the Faculty, is to deliver graduates who have a comprehensive and holistic understanding of all relevant aspects of the extractive industries in Africa, equipping them with the knowledge and confidence to take on the toughest challenges with which they will be presented. Tailor-made in Africa, for students who will be working in Africa, the ambition is nothing short of grooming the next generation of industry and government leaders, who will be at the vanguard of unlocking the riches of the continent in a way that can change the future of Africa's countries and her people for the best.
As such, it will be of particular interest to candidates from legal practice who work with the extractive industries, the judiciary, government officials, legislators, policymakers, international organisations, consultancies, industry regulators and research institutes. The programme also provides an excellent foundation for recent graduates on which to prepare for a career in this dynamic and exciting field.
A maximum of 25 students is selected for admission per year. In order to allow for the greatest flexible learning experience and to accommodate working professionals, the course consists of a blend of intensive, on-campus contact sessions throughout the year, and distance learning modules.
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:
You will study the following core modules:
You will also choose from an anually approved list of modules which may include:
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:
Find out more about employability at Goldsmiths.
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.
The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.
The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.
Modules for the MSc Data Science programme include:
- Visual Analytics
- Data Science Research Methods and Seminars
- Big Data and Data Mining
- Big Data and Machine Learning
- Mathematical Skills for Data Scientists
- Data Visualization
- Human Computer Interaction
- High Performance Computing in C/C++
- Graphics Processor Programming
- Computer Vision and Pattern Recognition
- Modelling and Verification Techniques
- Operating Systems and Architectures
The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.
- Data Analyst
- Data mining Developer
- Machine Learning Developer
- Visual Analytics Developer
- Visualisation Developer
- Visual Computing Software Developer
- Database Developer
- Data Science Researcher
- Computer Vision Developer
- Medical Computing Developer
- Informatics Developer
- Software Engineer
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