Masters Degrees (Mining)

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.

Course aims

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.

Programme structure

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.

Modules

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

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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.

[[Course aims ]]
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.

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This course is designed to produce engineers capable of designing, operating and managing a mining operation. There are two major options: Mine Geotechnical and Mine Planning and Management.

The course and majors are suitable if you wish to gain specialist knowledge in mining engineering or are a graduate currently working within the mining industry and want to significantly upgrade your knowledge with a view to furthering your career in this field.

Individualised project topics are developed with a nominated supervisor. Career paths for mining professionals include in-house specialists in mining companies or employment as consultants, academics and researchers.

Graduates may obtain employment within these sectors or further their current career in mining engineering in the minerals industry.

Career opportunities

Careers for mining professionals include in-house specialists in mining and chemical companies, consultants, academics and researchers. Graduates can expect to obtain employment within these sectors or to further their current careers in mining engineering within the minerals industry.

Credit for previous study

Applications for credit for recognised learning (CRL) are assessed on an individual basis. If you hold a Curtin Graduate Diploma in Mining or a Bachelor of Engineering (Mining Engineering), you may receive up to 100 credits for recognised learning.

2016 Curtin International Scholarships: Merit Scholarship

Curtin University is an inspiring, vibrant, international organisation, committed to making tomorrow better. It is a beacon for innovation, driving advances in technology through high-impact research and offering more than 100 practical, industry-aligned courses connecting to workplaces of tomorrow.

Ranked in the top two per cent of universities worldwide in the Academic Ranking of World Universities 2015, the University is also ranked 25th in the world for universities under the age of 50 in the QS World University Rankings 2015 Curtin also received an overall five-star excellence rating in the QS stars rating.

Curtin University strives to give high achieving international students the opportunity to gain an internationally recognised education through offering the Merit Scholarship. The Merit Scholarship will give you up to 25 per cent of your first year tuition fees and if you enrol in an ELB program at Curtin English before studying at Curtin, you will also receive a 10 per cent discount on your Curtin English fees.

For full details and terms and conditions of this scholarship, please visit: curtin.edu/int-scholarships and click on Merit.

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MASTERS OF APPLIED SCIENCE

Backed by an unparalleled reputation for expertise and innovation in mineral extraction, mineral processing and environmental protection, the graduate program in Mining Engineering has two types of students in mind:

Those from industry who wish to improve their workplace skills; and

Those who wish to pursue research leading to advances in state-of-the-art or state-of-the-practice mining and mineral process engineering.

In order to best meet the needs of these two groups, the program encourages interaction between universities in North America and other countries. In many cases, this collaborative outlook leads to joint research projects and student exchanges.

Program Overview

The graduate program in Mining Engineering offers opportunity for study in the fields of mining and mineral processing, including mine environment and coal preparation. Areas of research interest are indicated below.
1. Mining. Mine economics and valuation, mine design, drilling and blasting methods, rock mechanics and slope stability, optimization and simulation of mining operations, advanced mining methods, mine services (particularly mine ventilation), and climatic control.
2. Mineral processing. Unit operations, comminution, process modeling and optimization, expert systems, instrumentation and computer control. Flotation, surface chemistry, fines recovery, coal recovery, treatment of fine and oxidized coal, and precious metals recovery.
3. Mining and Environment. Acid rock drainage, environmental protection, effluent control and treatment. Social and legal aspects of sustainable mining practices, small-scale mining in developing countries.

Quick Facts

- Degree: Master of Applied Science
- Specialization: Mining Engineering
- Subject: Engineering
- Mode of delivery: On campus
- Program components: Coursework + Thesis required
- Faculty: Faculty of Applied Science

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This course is designed to help you enter the mining industry. You will develop a detailed knowledge of the mining industry and become particularly familiar with mining engineering methods.

This course is designed for those outside the discipline of mining engineering who wish to become knowledgeable in the specialist skills of the mining industry and in particular become familiar with mining engineering methods. It prepares you for positions in the mining industry, both operational and management, in both open-pit and underground work and partially satisfies the entry requirements for the postgraduate Master of Engineering Science (Mining) study.

The Master of Engineering Science (Mining) is available for further studies upon completion of this course.

Career opportunities

Graduates may be employed as underground and/or open pit mining engineers or quarry managers, or hold other senior management positions once the necessary experience is gained.

Credit for previous study

No recognition of prior learning (RPL) is considered for this course. The course will be structured to suit your individual background.

2016 Curtin International Scholarships: Merit Scholarship

Curtin University is an inspiring, vibrant, international organisation, committed to making tomorrow better. It is a beacon for innovation, driving advances in technology through high-impact research and offering more than 100 practical, industry-aligned courses connecting to workplaces of tomorrow.

Ranked in the top two per cent of universities worldwide in the Academic Ranking of World Universities 2015, the University is also ranked 25th in the world for universities under the age of 50 in the QS World University Rankings 2015 Curtin also received an overall five-star excellence rating in the QS stars rating.

Curtin University strives to give high achieving international students the opportunity to gain an internationally recognised education through offering the Merit Scholarship. The Merit Scholarship will give you up to 25 per cent of your first year tuition fees and if you enrol in an ELB program at Curtin English before studying at Curtin, you will also receive a 10 per cent discount on your Curtin English fees.

For full details and terms and conditions of this scholarship, please visit: curtin.edu/int-scholarships and click on Merit.

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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.

Programme Structure

You will study 180 credits to obtain an MSc and 120 credits for a PgDip

Compulsory modules

The compulsory modules can include; Research Project and Dissertation; Resource Estimation; Ore Deposit Geology and Industrial Minerals; Techniques in Mining Geology ; Excavation and Geomechanics ; Economics, Processing & Environment

Optional modules

Some examples of the optional modules are; Advanced Techniques for Mineral Analysis and Mine Wastes: Principles, Monitoring and Remediation.

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

Learning and teaching

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.

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MASTERS OF ENGINEERING

Come join one of the world’s leading mining schools.

Receive a Master of Engineering Degree from one of the world’s strongest mining departments, at a top ranked university and in one of the most beautiful and liveable cities in the world.

The purpose of a M.Eng. degree is to increase student’s skills and knowledge in a particular aspect of mining or mineral processing. This program has the same admission requirements as the MASc and offers the same courses but instead of a thesis, students are expected to take additional courses. Currently, M.Eng. degree students can specialize in four areas:
- Mining geotechnics,
- Mineral processing,
- Mine economics, or
- Mining sustainability and the environment.

Gain practical experience with an 4-8 month paid work term.

Take advantage of our institute’s strong sense of community and close industrial support.

The Master of Engineering in Mining Engineering (M.Eng.) is an intensive study program designed for professionals and engineering graduates eager to upgrade their skills in order to build a solid base for a career in the global mining industry. It includes at least 30 credits of course work with the option to complete a coop work term. The program takes up to 2 years to complete.

Quick Facts

- Degree: Master of Engineering
- Specialization: Mining Engineering
- Subject: Engineering
- Mode of delivery: On campus
- Program components: Coursework only
- Faculty: Faculty of Applied Science

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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.

Degree information

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
-GIS Principles and Technology
-Principles of Spatial Analysis
-Spatial Databases and Data Management
-Spatio-temporal Analysis and Data Mining

Choose four options from the following:
-Introductory Programming (requires Applied Machine Learning option)
-Complex Networks and Web
-Representation, Structures and Algorithms
-Mapping Science
-Supervised Learning (requires Applied Machine Learning)
-Web Mobile GIS
-Information Retrieval & Data Mining (requires Introductory Programming)
-Geographic Information System Design
-Applied Machine Learning (requires Introductory Programming, and Supervised Learning)

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.

Careers

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.

Why study this degree at UCL?

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.

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Our LLM in Oil, Gas and Mining Law builds upon our considerable expertise in this area and has been designed in response to the growing significance of legal issues surrounding the oil, gas and mining industry.

This new course will provide you with a strong analytical understanding of the key legal issues in the area, with a particular focus on the environmental law and investment law aspects of the oil, gas and mining industries.

It also draws on our strengths in international trade and commercial law, which will help you gain an appreciation of the oil, gas and mining industries in their global economic context.

You will complete six taught modules and an independently researched and written dissertation, under the supervision of an expert academic. In addition to four core modules you will also select two option modules from other subject areas.

Scholarships are available, visit: http://www.ntu.ac.uk/scholarshipsnls for details.

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The programme provides specialist analytical, design and management skills. The MSc provides skill enhancement for engineers and geologists already employed in the mining, minerals, quarrying and civil engineering industries. It is also suitable for geology and engineering graduates wishing to specialise in either of the following main study areas: mine and general management; excavation (geotechnics and tunnelling).

Taught modules take place at the Camborne School of Mines; projects are often company-based.

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.

Programme Structure

You can either study the course full time over a year or part-time over 3 years.

Compulsory modules

The compulsory modules can include; Project and Dissertation; Excavation and Geomechanics; Health and Safety in the Extractive Industry; Economics, Processing & Environment and Project Management

Optional modules

Some examples of the optional modules are; Surface Excavation Design; Resource Estimation; Tunnelling and Underground Excavation; Production and Cost Estimation; Mine Planning and Design; Geomechanics Computer Modelling for Excavation Design and Soil and Water Contamination.

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 at http://www.exeter.ac.uk/postgraduate/taught/mining-engineering/msc-mining-engineering/#Programme-structure

Learning and teaching

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.

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Degree: Master of Science (120 credits) with a major in Statistics
Teaching language: English

The rapid growth of databases provides business people and scientists with vast new resources. This programme - on the interface between statistics and computer science - will help students discover patterns and trends in large and complex datasets, and turn data into information and knowledge.

Statistics and data mining is a programme with unique career opportunities. The methods to organise and analyse data are getting more and more powerful, and this makes the synergy between data mining and statistics immensely rewarding. Economic transactions, customer data, individual health records and environmental data are just a few examples of the contents of enormous databases awaiting thorough examination.

The programme prepares students for professional work with data analysis in private enterprises and government agencies. It can also provide an ideal background for students who aspire to pursue a career as researchers in statistics or computer science.

The programme is designed for students with a solid background in statistics, computer science or applied mathematics, and an aspiration to learn more about data analysis. Being at the interface between statistics and computer science, it provides skills that cannot be achieved in conventional discipline-oriented programmes. The focus is on applications of data analysis, but underlying theories are also given considerable space.

Data mining courses, covering prediction, classification, clustering and association analysis constitute the core of the programme. Visualisation, survey sampling and theory of science are also mandatory. Supporting courses and profile courses (in statistics or computer science) and the master’s thesis project enables students to tailor the programme towards specific applications.

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About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

Reasons to study:

• 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

Course Structure

Modules

First semester (September to January)

• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP
• Research Methods

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

Teaching and Assessment

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.

Contact and learning hours

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.

Industry Association

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 find out more

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:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Introduction

This postgraduate master's degree is designed to give legal and non-legal professionals the expertise to pursue careers in the mining and energy industries through exposure to units focusing on the law applicable to those industries.

Course description, features and facilities

This degree consists of eight units. The compulsory units consist of units focussing on petroleum law, mining law, corporate governance for resources companies and the agreements used in the petroleum industry. Optional units include international oil and gas law, environmental law, international environmental law, climate change and emissions trading, oil and gas project development law (new), one unit chosen from the options available for the Master of Commercial and Resources Law and one unit chosen from the options available for the Master of Laws

Subjects are often taught intensively, in non-standard teaching periods, to accommodate practitioners and overseas students. However, we also offer a range of options throughout the academic Semesters.

Structure

Key to availability of units:
S1 = Semester 1; S2 = Semester 2; S3 = summer teaching period; N/A = not available in 2015;
NS = non-standard teaching period; OS = offshore teaching period; * = to be advised

All units have a value of six points unless otherwise stated.

Note: Units that are indicated as N/A may be available in 2016 or 2017.

Take all units (24 points):

NS LAWS5111 Corporate Governance for Resources Companies
NS LAWS5517 Mining Law
NS LAWS5532 Oil and Gas Agreements
NS LAWS5589 Australian Oil and Gas Law

Take units up to the value of 12 points chosen from the options available for the Master of Commercial and Resources Law (20560) and/or the Master of Laws (20500), and units from Group A sufficient to bring the total to 24 points:

Group A

NS LAWS5208 Oil and Gas Project Development Law
NS LAWS5507 International Oil and Gas Law
NS LAWS5521 Climate Change Law and Emissions Trading
N/A LAWS5540 Environmental Protection Law

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Master in BIG DATA : Data Analytics, Data Science, Data Architecture”, accredited by the French Ministry of Higher Education and Research, draws on the recognized excellence of our engineering school in business intelligence and has grown from the specializations in Decision Support, Business Intelligence and Business Analytics. The Master is primarily going to appeal to international students, "free movers" or those from our partner universities or for high-potential foreign engineers who are looking for an international career in the domain of Business Analytics.

This program leads to a Master degree and a Diplôma accredited by the French Ministry of Higher Education and research.

Objectives

Business Intelligence and now Business Analytics have become key elements of all companies.

The objective of this Master is to train specialists in information systems and decision support, holding a large range of mathematic- and computer-based tools which would allow them to deal with real problems, analyzing their complexity and bringing efficient algorithmic and architectural solutions. Big Data is going to be the Next Big Thing over the coming 10 years.

The targeted applications concern optimization in the processing of large amounts of data (known as Big Data), logistics, industrial automation, but above all it’s the development of BI systems architecture. These applications have a role in most business domains: logistics, production, finance, marketing, client relation management.

The need for trained engineering specialists in these domains is growing constantly: recent studies show a large demand of training in these areas.

Distinctive points of this course

• The triple skill-set with architecture (BI), data mining and business resource optimization.
• This master will be run by a multidisciplinary group: statistics, data mining, operational research, architecture.
• The undertaking of interdisciplinary projects.
• The methods and techniques taught in this program come from cutting-edge domains in industry and research, such as: opinion mining, social networks and big data, optimization, resource allocation and BI systems architecture.
• The Master is closely backed up by research: several students are completing their end-of-studies project on themes from the [email protected] laboratory, followed and supported by members from the laboratory (PhD students and researcher teachers).
• The training on the tools used in industry dedicated to data mining, operational research and Business Intelligence gives the students a plus in their employability after completion.
• Industrial partnerships with companies very involved in Big Data have been developed:
• SAS via the academic program and a ‘chaire d’entreprise’ (business chair), allowing our students access to Business Intelligence modules such as Enterprise Miner (data mining) and SAS-OR (in operational research).

Practical information

The Master’s degree counts for 120 ECTS (European Credit Transfer System) in total and lasts two years. The training lasts 1252 hours (611 hours in M1 and 641 hours in M2). The semesters are divided as follows:
• M1 courses take place from September until June and count for a total of 60 ECTS
• M2 courses take place from September until mid-April and count for a total of 42ECTS
• A five-month internship (in France) from mid- April until mid- September for 9 ECTS is required and a Master thesis for 9 ECTS.

Non-French speakers will be asked to participate to a one week intensive French course that precedes the start of the program and allows students to gain the linguistic knowledge necessary for daily interactions.

[[Organization ]]
M1 modules are taught from September to June (60 ECTS, 611 h)
• Data exploration
• Inferential Statistics (3 ECTS, 30h, 1 S*)
• Data Analysis (2 ECTS, 2h, 1 S)
• Mathematics for Computer science
• Partial Differential Equations and Finite Differences (3 ECTS, 30h, 1 S)
• Operational Research: Linear Optimization (2 ECTS, 20h, 1 S)
• Combinatory Optimization (2 ECTS, 18h, 1 S)
• Complexity theory (1 ECTS, 9h, 1 S)
• Simulation and Stochastic Process (3 ECTS, 30h, 2 S**)
• Introduction to Predictive Modelling (2ECTS, 21h, 2 S)
• Deterministic and Stochastic Optimization (3 ECTS, 30h, 2 S)
• Introduction to Data Mining (2 ECTS, 21h, 2 S)
• Software and Architecture
• Object-Oriented Modelling (OOM) with UML (3 ECTS, 30h, 1 S)
• Object-Oriented Design and Programming with Java (2 ECTS, 30h, 1 S)
• Relational Database: Modelling and Design (3ECTS, 30h, 1 S)
• PLSQL (2 ECTS, 21h, 2 S)
• Architecture and Network Programming (3 ECTS, 30h, 2 S)
• Parallel Programming (3 ECTS, 30h, 2 S)
• Engineering Science
• Signal and System (3 ECTS, 21 h, 1 S)
• Signal processing (3 ECTS, 30h, 1 S)

• Research Initiation
• Scientific Paper review (1 ECTS, 9h, 1 S)
• Final research project on BIG DATA (5 ECTS, 50h, 2 S)
• Project Management
• AGIL Methods & Transverse Project (2 ECTS, 21h, 2 S)
• Languages and workshops
• French and Foreign languages (6 ECTS, 61h, 1&2 S)
• Personal and Professional Project (1 ECTS, 15, 1 S)
*1 S= 1st semester, ** 2 S= 2nd semester

M2 Program: from September to September (60 ECTS, 641h)
M2 level is a collection of modules, giving in total 60 ECTS (42 ECTS for the modules taught from September to April, plus 9 ECTS for the internship and 9 ECTS for the Master thesis).

Computer technologies
• Web Services (3 ECTS, 24h, 1 S)
• NOSQL (2 ECTS, 20h, 1 S)
• Java EE (3 ECTS, 24, 1S)
Data exploration
• Semantic web and Ontology (2 ECTS, 20h, 1 S)
• Data mining: application (2 ECTS, 20h, 1S)
• Social Network Analysis (2ECTS, 18h, 1S)
• Collective intelligence: Web Mining and Multimedia indexation (2 ECTS, 20h, 2 S)
• Enterprise Miner SAS (2 ECTS, 20h, 2 S)
• Text Mining and natural language (2 ECTS, 20h, 2 S)
Operations Research
• Thorough operational research: modelling and business application (2 ECTS, 21h, 1 S)
• Game theory (1 ECTS, 10h, 1 S)
• Forecasting models (2 ECTS, 20h, 1 S)
• Constraint programming (2 ECTS, 20h, 2 S)
• Multi-objective and multi-criteria optimisation (2 ECTS, 20h, 2 S)
• SAS OR (2 ECTS, 20h, 2 S)
Research Initiation Initiative
• Scientific Paper review (1 ECTS, 10h, 1 S)
• Final research project on BIG DATA (2 ECTS, 39, 2 S)
BI Architecture
• BI Theory (2 ECTS, 20h, 2 S)
• BI Practice (2 ECTS, 20h, 2 S)
Languages and workshops (4 ECTS, 105h, 1&2 S)
• French as a Foreign language
• CV workshop
• Personal and Professional Project
Internship
• Internship (9 ECTS, 22 weeks minimum)
Thesis
• Master thesis (9 ECTS, 150h)

Teaching

Fourteen external teachers (lecturers from universities, teacher-researchers, professors etc.), supported by a piloting committee, will bring together the training given in Cergy.

All the classes will be taught in English, with the exception of:
• The class of FLE (French as a foreign language), where the objective is to teach the students how to understand and express themselves in French.
• Cultural Openness, where the objective is to enrich the students’ knowledge of French culture.
The EISTI offers an e-learning site to all its students, which complements everything the students will learn through their presence and participation in class:
• class documents, practical work and tutorials online
• questions and discussions between teachers and students, and among students
• a possibility of handing work in online

All Master’s students are equipped with a laptop for the duration of the program that remains the property of the EISTI.

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This course is designed to train highly qualified data analysts – or data scientists – to embark on careers in a wide range of industries. You’ll be given an excellent practical and theoretical grounding in data mining and statistics with the chance to customise your degree through modules in artificial intelligence, visualisation, programming and database manipulation.

Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of a modern business. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferable skills.

We have a large Data Mining, Machine Learning and Statistics research group, which has made significant contributions to the field in the last 10 years, so you’ll be working directly with pioneering experts.

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