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Masters Degrees (Predictive)

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The Predictive Modelling MSc is designed for those wishing to develop the skills and depth of knowledge to deal with the integration of Big Data with mathematical and statistical simulation tools in order to model and design complex systems in the presence of uncertainties. Read more
The Predictive Modelling MSc is designed for those wishing to develop the skills and depth of knowledge to deal with the integration of Big Data with mathematical and statistical simulation tools in order to model and design complex systems in the presence of uncertainties. The course will prepare you in the theory and practical implementation of cutting-edge predictive modelling techniques, exposing you to established and emerging applications.

Course Structure

The MSc runs over one year. The taught part consists of six 15-credit modules. Of those, three are core modules offered by the WCPM. Three more can be selected from relevant departments across the university. The second half of the course consists of a 90 credit individual research project, selected from a combined list from Engineering, Physics, Chemistry, Life Sciences, Social Sciences, Mathematics, Statistics, Computer Science, Warwick Business School, Warwick Manufacturing Group and the Centre for Scientific Computing.

You will also undertake a substantive individual research project involving a theoretical or computational investigation of a topic chosen by the student in conjunction with an academic supervisor.

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Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills. Read more
Gain in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.

In the era of Big Data, analytics is becoming a strategic necessity in virtually all areas of business and is an essential tool to drive real-time decisions, foster evidence-based decision-making and sustain competitive advantage. According to a recent ranking by US News and World Report, Market Research Analyst and Operations Research Analyst are in the top four Best Business Jobs of 2015, and Harvard Business Review claims Data Scientist is the 'sexiest job of the 21st century' with practitioners having rare and highly sought-after skills.

To meet the growing demand for graduates with analytics capabilities, the MSc in Business Analytics degree equips you with the latest analytics tools to analyse and interpret data, forecast future trends, automate and streamline decisions, and optimise courses of action. Emphasis is placed on learning fundamental analytics techniques, such as statistical analysis, data mining, forecasting and regression, optimisation, simulation and spreadsheet modelling among others.

You will learn how to apply descriptive, predictive and prescriptive modelling techniques to help organisations improve performance, explore alternatives, and anticipate and shape business outcomes in a rapidly changing environment. Upon graduation, you will be ready to start a fast-track career in a variety of industries and sectors including airlines, manufacturing companies, energy, healthcare delivery, banking, marketing and government.

Students enrolled in the programme have the opportunity to work for real organisations, improve their consultancy skills and enhance their employability through the Student Implant Scheme, which bridges the gap between classroom learning and the real world. Students are also involved in a variety of activities, including case studies, team project work, guest lectures and industry visits.

Software demonstration workshops supported by IBM/ILOG are regularly organised to support the teaching of state-of-the-art analytics packages including IBM Watson Analytics, R, SPSS, Weka, MS Excel and VBA, as well as optimisation packages including Optimization Programming Language, IBM/ILOG, CPLEX and Simul8.

This programme is ideal for graduates with a good background in a quantitative area who are seeking to gain an in-depth knowledge of analytical and predictive modelling skills as well as management, communication and research skills.

Visit the website https://www.kent.ac.uk/courses/postgraduate/292/business-analytics

About Kent Business School

Kent Business School has over 25 years’ experience delivering business education. Our portfolio of postgraduate programmes (http://www.kent.ac.uk/kbs/courses/msc/index.html) demonstrates the breadth and depth of our expertise. Academic research and links with global business inform our teaching, ensuring a curriculum that is relevant and current. We are ranked (http://www.kent.ac.uk/kbs/whychooseus/rank-accred.html) as a top 30 UK business school for the standard of our teaching and student satisfaction. We also hold a number of accreditations (http://www.kent.ac.uk/kbs/whychooseus/rank-accred.html?tab=accreditations-and-professional-bodies) by professional bodies.

Studying at Kent Business School (KBS) gives you the opportunity to increase your employability with real-life case studies, a student council and a business society. We have strong links to local and national organisations providing opportunities for projects, internships and graduate placements. The School attracts many high-profile speakers from industry and last year included visits and lectures from staff of the Bank of England, BAE Systems, Barclays, Lloyds Insurance, Cummins, Delphi and Kent County Council.

Careers

You gain much more than an academic qualification when you graduate from Kent Business School – we enhance your student experience and accelerate your career prospects.

From the moment you start with us, our efforts are focused on helping you gain the knowledge, skills and experience you need to thrive in an increasingly competitive workplace.

In today’s business climate employers are increasingly demanding more from new employees, we are therefore proud that they continually target our graduates for their organisations across the globe. Employers respect our robust teaching and reputation for delivering international business expertise, leading global research and an outstanding international learning experience.

Recent graduates have gone on to work for Barclays Capital, British Embassy, Gray Robinson PA and Holiday Extras.

To find out more about business analytics and future career prospects, see the following links.

- OR Society: British Society of Operational Research: http://www.theorsociety.com/

- What is OR? Video and success stories: http://www.learnaboutor.co.uk/

Professional recognition

Kent Business School is a member of the European Foundation for Management Development (EMFD), CIPD, CIM and the Association of Business Schools (ABS). In addition, KBS is accredited by the Association of MBAs (AMBA).

Find out how to apply here - https://www.kent.ac.uk/courses/postgraduate/apply/

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The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. Read more

The digital revolution has led to an unprecedented volume of information about consumers, which progressive organisations are eager to understand and use. This innovative masters degree will give you the practical skills to analyse consumer data and provide insights for successful marketing strategies.

Taught by leading academics from Leeds University Business School and School of Geography, you’ll explore a range of analytical techniques including applied Geographic Information Systems (GIS) and retail modelling, consumer and predictive analytics and data visualisation. You’ll also develop the softer skills to use the results of these analyses to inform decisions about marketing strategy.

Thanks to our connections with businesses worldwide, you’ll have access to emerging trends in topics such as consumer behaviour, decision science and digital and interactive marketing. You’ll further develop your practical skills with the opportunity to work on a live data project provided by a company.

Academic excellence

This courseoffers you a rare combination of teaching expertise; the Business School’s academic excellence in Marketing alongside world-class teaching from the School of Geography, which draws on the knowledge of the Centre for Spatial Analysis and Policy.

The University of Leeds is a major centre for big data analytics and you’ll benefit from affiliation with the UK’s Consumer Data Research Centre. The centre aims to make data that are routinely collected by businesses and organisations accessible for academic purposes. Coordinating and analysing this large and complex data has the potential to increase productivity and innovation in business, as well as to inform public policy and drive development.

Read an interview with the academic team to learn more about our expertise and the growing importance of this emerging subject area.

Course content

Core modules will introduce you to a range of analytical methods, ensuring you develop a solid foundation in the essential skills for consumer analytics and marketing strategy.

You’ll learn how to analyse geographic data using GIS software and understand the application of this in retail modelling, to evaluate new markets and locations. You’ll study predictive analytics, big data and consumer analytics, business analytics and decision science, and learn how to communicate results through data visualisations.

Alongside this, you’ll learn how to deploy data to inform decisions about marketing strategy. Marketing modules include marketing strategy, consumer behavior and direct, digital and interactive marketing. You’ll also deliver your own data-driven marketing research project for a company.

Optional modules allow you to further your knowledge in a related area of interest, either corporate social responsibility, internal communications and managing change, or applied population and demographic analysis.

By the end of the course, you’ll submit an independent project. You can either research a topic in-depth and submit a dissertation, or gain practical experience through a consultancy project working with an external organisation.

Course structure

Compulsory modules

You’ll take the nine compulsory modules below, plus your dissertation, which can be a choice of either a research dissertation or marketing consultancy project.

  • Geographic Data Visualisation & Analysis 15 credits
  • Big Data and Consumer Analytics 15 credits
  • Predictive Analytics 15 credits
  • Applied GIS and Retail Modelling 15 credits
  • Business Analytics and Decision Science 15 credits
  • Consumer Behaviour 15 credits
  • Marketing Research Consultancy Project 15 credits
  • Direct, Digital and Interactive Marketing 15 credits
  • Marketing Strategy 15 credits
  • Dissertation OR Marketing Consultancy Project 30 credits

Optional modules

You'll take one further optional module.

  • Applied Population and Demographic Analysis 15 credits
  • Corporate Social Responsibility and Sustainability 15 credits
  • Internal Communications and Change Management 15 credits

For more information on typical modules, read Consumer Analytics and Marketing Strategy MSc in the course catalogue

Learning and teaching

We use a range of teaching methods so you can benefit from the expertise of our academics, including lectures, workshops, seminars, simulations and tutorials. Company case studies provide an opportunity to put your learning into practice.

Independent study is also vital for this course, allowing you to prepare for taught classes and sharpen your own research and critical skills.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. You’ll be assessed using a range of techniques including exams, group projects, written assignments and essays, in-course assessment, group and individual presentations and reports.

Career opportunities

As a graduate of this course you will be equipped with advanced skills in consumer analytics and marketing strategy, ideal for those wishing to pursue a career in consumer data analytics, marketing and/or management.

Due to the digital revolution, companies from around the world and in many industrial sectors have access to greater amounts of data.

The most progressive companies in the world are particularly interested in marketing graduates with strong analytical skills, and typical roles could include marketing or consumer data analyst, direct marketing manager, marketing manager, retail manager, or marketing or management consultant.

Careers support

As a masters student you will be able to access careers and professional development support, which will help you develop key skills including networking and negotiating, and put you in touch with potential employers.

Our dedicated Professional Development Tutor provides tailored academic and careers support to marketing students. They work in partnership with our academics to help you translate theory into practice and develop your interpersonal and professional business skills.

You can expect support and guidance on career choices, help in identifying and applying for jobs, as well as one-to-one coaching on interpersonal and communication skills.

Read more about careers support at the Business School.



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Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance. Read more
Companies need people who can take data and transform it into a powerful strategic asset. This specialisation provides a rigorous, practical foundation in the key skills needed to unlock the value of data, and an in-depth understanding of how companies can use data to make decisions and improve business performance.

Degree information

Business Analytics (with specialisation in Management Science) is taught by UCL School of Management (in conjunction with UCL Computer Science). It combines modules that explore how data and analytics are transforming key areas of business (decision-making, strategy, marketing, operations) with modules that provide the mathematical and computational skills needed to make effective use of the latest business analytics tools.

Students undertake modules to the value of 180 credits. The programme consists of six core modules (90 credits), two optional modules (30 credits) and a dissertation/report (60 credits).

Core modules
-Business Strategy and Analytics
-Marketing Analytics
-Mathematical Foundations for Business Analytics
-Programming for Business Analytics
-Predictive Analytics
-Operations Analytics

Optional modules - students take two optional modules from a selection of elective modules offered by the UCL School of Management and the UCL Department of Computer Science. Possible electives, subject to agreement, will cover topics including software engineering, practical machine learning, project management and social network analytics.

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, tutorials and project work. Assessment is through unseen written examinations, coursework and the dissertation.

Careers

The world is changing: more than 30 billion pieces of content are shared on Facebook every month; and companies are capturing trillions of bytes of information about their customers, suppliers, and operations. This explosion of data is disrupting industries and creating new opportunities.

Companies need people who can take data, understand it, process it, extract value from it, visualise it, and communicate it.

They need people who deeply understand data, its potential and its limitations, who can frame business problems, analyse data with statistical techniques, develop and maintain predictive models, and communicate analytics results to business executives, partners and customers.

Employability
Graduates from this new programme will be highly employable in global companies and high-growth businesses, finance and banking organisations, and consulting firms.

Students will develop strong quantitative and analytical skills, an in-depth understanding of how companies use data to make decisions and improve business performance, and practical experience with leading business analytics tools. They will be equipped to influence strategy and decision-making, and be able to drive business performance by transforming data into a powerful and predictive strategic asset.

Why study this degree at UCL?

Business Analytics requires a combination of management insight, strong quantitative and analytical skills, and an understanding of the technology required to handle data at scale.

UCL School of Management offers innovative undergraduate, postgraduate, and doctoral programmes to prepare people for leadership roles in the next-generation of innovation-intensive organisations. The department works closely with global companies and high-growth businesses at the cutting-edge of management practice. UCL Computer Science is a global leader in research in experimental computer science.

Students on the Business Analytics (with specialisation in Management Science) MSc will benefit from the extensive industry networks of both departments.

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The Department of Oncology and the Department for Continuing Education’s CPD Centre offer a part-time MSc in Experimental Therapeutics that brings together some of Oxford's leading clinicians and scientists to deliver an advanced modular programme designed for those in full-time employment, both in the UK and overseas. Read more
The Department of Oncology and the Department for Continuing Education’s CPD Centre offer a part-time MSc in Experimental Therapeutics that brings together some of Oxford's leading clinicians and scientists to deliver an advanced modular programme designed for those in full-time employment, both in the UK and overseas.

The Programme draws on the world-class research and teaching in experimental therapeutics at Oxford University and offers a unique opportunity to gain an understanding of the principles that underpin clinical research and to translate this into good clinical and research practice.

Visit the website https://www.conted.ox.ac.uk/about/msc-in-experimental-therapeutics

The first deadline for applications is Friday 20 January 2017

If your application is completed by this January deadline and you fulfil the eligibility criteria, you will be automatically considered for a graduate scholarship. For details see: http://www.ox.ac.uk/admissions/graduate/fees-and-funding/graduate-scholarships.

Programme details

The MSc in Experimental Therapeutics is a part-time course consisting of six modules and a research project and dissertation. The programme is normally completed in two to three years. Students are full members of the University of Oxford and are matriculated as members of an Oxford college.

The modules in this programme can also be taken as individual short courses. It is possible to transfer credit from up to three previously completed modules into the MSc programme, if the time elapsed between commencement of the accredited module(s) and registration for the MSc is not more than two years.

Programme modules:

- The Structure of Clinical Trials and Experimental Therapeutics
- Drug Development, Pharmacokinetics and Imaging
- Pharmacodynamics, Biomarkers and Personalised Therapy
- Adverse Drug Reactions, Drug Interactions, and Pharmacovigilance
- How to do Research on Therapeutic Interventions: Protocol Preparation
- Biological Therapeutics

Course aims

The aim of the MSc programme is to provide students with the necessary training and practical experience to enable them to understand the principles that underpin clinical research, and to enable them to translate that understanding into good clinical and research practice.

By the end of the MSc programme, students should understand the following core principles:

- Development, marketing and regulations of drugs
- Pharmaceutical factors that affect drug therapy
- Pharmacokinetics, pharmacogenetics and pharmacodynamics
- Adverse drug reactions, drug interactions, and pharmacovigilance
- Designing phase I, II and III clinical trials for a range of novel therapeutic interventions (and imaging agents).
- Application of statistics to medicine
- Laboratory assays used to support trial end-points
- Use of non-invasive imaging in drug development
- Application of analytical techniques

By the end of the programme, students should be equipped to:

- demonstrate a knowledge of the principles, methods and techniques for solving clinical research problems and translate this into good clinical and research practice
- apply skills gained in techniques and practical experience from across the medical and biological sciences
- develop skills in managing research-based work in experimental therapeutics
- carry out an extended research project involving a literature review, problem specification and analysis in experimental therapeutics and write a short dissertation

Guidance from the UK Royal College of Physician's Faculty of Pharmaceutical Medicine

The Faculty have confirmed that if enrolled for Pharmaceutical Medicine Specialty Training (PMST), trainees may be able to use knowledge provided by Experimental Therapeutics modules to cover aspects of a module of the PMST curriculum. Trainees are advised to discuss this with their Educational Supervisor.

Experimental Therapeutics modules may also be used to provide those pursuing the Faculty's Diploma in Pharmaceutical Medicine (DPM) with the necessary knowledge required to cover the Diploma syllabus. Applicants for the DPM exam are advised to read the DPM syllabus and rules and regulations.

Members of the Faculty of Pharmaceutical Medicine who are registered in the Faculty's CPD scheme can count participation in Experimental Therapeutics modules towards their CPD record. Non-members may wish to obtain further advice about CPD credit from their Royal College or Faculty.

Assessment methods

To complete the MSc, students need to:

Attend the six modules and complete an assessed written assignment for each module.
Complete a dissertation on a topic chosen in consultation with a supervisor and the Course Director.

Dissertation:
The dissertation is founded on a research project that builds on material studied in the taught modules. The dissertation should normally not exceed 15,000 words.

The project will normally be supervised by an academic supervisor from the University of Oxford, and an employer-based mentor.

The following are topics of dissertations completed by previous students on the course:

- The outcomes of non-surgical management of tubal pregnancy; a 6 month study of the South East London population

- Analysis of the predictive and prognostic factors of outcome in a cohort of patients prospectively treated with perioperative chemotherapy for adenocarcinoma of the stomach or of the gastroesophageal junction

- Evolution of mineral and bone disorder in early Chronic Kidney Disease (CKD): the role of FGF23 and vitamin D

- Survey of patients' knowledge and perception of the adverse drug reporting scheme (yellow cards) in primary care

- The predictive role of ERCC1 status in oxaliplatin based Neoadjuvant for metastatic colorectal cancer (CRC) to the liver

- Endothelial Pathophysiology in Dengue - Dextran studies during acute infection

- Literature review of the use of thalidomide in cancer

- An investigation into the phenotypical and functional characteristics of mesenchymal stem cells for clinical application

- Identification of genetic variants that cause capecitabine and bevacizumab toxicity

- Bridging the evidence gap in geriatric medicines via modelling and simulations

Teaching methods

The class-based modules will include a period of preparatory study, a week of intensive face-to-face lectures and tutorials, followed by a period for assignment work. Attendance at modules will be a requirement for study. Some non-classroom activities will be provided at laboratory facilities elsewhere in the University. The course will include taught material on research skills. A virtual learning environment (VLE) will provide between-module support.

The taught modules will include group work, discussions, guest lectures, and interaction and feedback with tutors and lecturers. Practical work aims to develop the students' knowledge and understanding of the subject.

Find out how to apply here - http://www.ox.ac.uk/admissions/graduate/applying-to-oxford

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Instrumentation and control engineers are highly sought after in a range of industries, including oil and gas, petrochemicals, chemical engineering, manufacturing, research, transport and infrastructure. Read more
Instrumentation and control engineers are highly sought after in a range of industries, including oil and gas, petrochemicals, chemical engineering, manufacturing, research, transport and infrastructure.

Course details

This programme will help you develop your knowledge and skills in instrumentation, electronics and control engineering, and it will help you develop the ability to synthesise information from a variety of sources and make effective decisions on complex instrumentation and control engineering problems.

What you study

For the Postgraduate Diploma (PgDip) award you must successfully complete 120 credits of taught modules. For an MSc award you must successfully complete 120 credits of taught modules and a 60-credit master's research project.

Examples of past MSc research projects:
-Effects of particle size on gas-solid flow measurement using dynamic electrostatic meters
-An investigation of self-turning and predictive control with MATLAB
-Modelling and control of hot air blow rig PT326
-Wireless controlled car with data acquisition
-BCD to 6-3-1-1 code converter design using VHDL
-Comparative evaluation of turning techniques for MPC
-Digital traffic signal controller design
-Proteus control board test site
-Design of temperature measurement system
-Control system design for stepping motor.

Core modules
-Digital Control and Implementation
-Hydrocarbon Production Engineering
-Identification and Model Predictive Control
-Project Management and Enterprise
-Research and Study Skills
-Robust Control Systems
-Signal Conditioning and Data Processing

MSc only
-Major Project

Modules offered may vary.

Teaching

You learn through lectures, tutorials and practical sessions. Lectures provide the theoretical underpinning while practical sessions give you the opportunity to put theory into practice, applying your knowledge to specific problems.

Tutorials and seminars provide a context for interactive learning and allow you to explore relevant topics in depth. In addition to the taught sessions, you undertake a substantive MSc research project.

Assessment varies from module to module. The assessment methodology could include in-course assignments, design exercises, technical reports, presentations or formal examinations. For your MSc project you prepare a dissertation.

Employability

An instrumentation and control engineer may be involved in designing, developing, installing, managing and maintaining equipment which is used to monitor and control engineering systems, machinery and processes. Graduates can expect to be employed in a wide range of sectors, including industries involved with oil and gas, petrochemicals, chemical engineering, manufacturing, research, transport and infrastructure.

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◾The University of Glasgow’s School of Mathematics and Statistics is ranked 3rd in Scotland and 11th in the UK (Complete University Guide 2017). Read more

Why this programme?

◾The University of Glasgow’s School of Mathematics and Statistics is ranked 3rd in Scotland and 11th in the UK (Complete University Guide 2017).
◾The Statistics Group at Glasgow is the largest statistics group in Scotland and internationally renowned for its research excellence.
◾Statistics obtained a 100% overall student satisfaction in the National Student Survey 2016. The subject continues to exceed student expectations by combining both teaching excellence and a supportive learning environment.

Programme Stucture

This flexible part-time programme is completed over three years. In the first two years you will be taking two courses each trimester. In the third year you will be working on a project and dissertation.

The courses are designed to allow you to work at your own pace, with milestones and assessment to be completed according to an agreed timetable.

The programme can be taken alongside full-time employment (around 10 hours of study per week are recommended).

Core courses
◾Stochastic Models and Probability
◾Learning from Data
◾Predictive Models
◾R Programming
◾Data Programming in Python
◾Data Management and Analytics using SAS
◾Advanced Predictive Models
◾Data Mining and Machine Learning I: Supervised and Unsupervised Learning
◾Data Mining and Machine Learning II: Big and Unstructured Data
◾Uncertainty Assessment and Bayesian Computation
◾High-performance Computing for Data Analytics
◾Data Analytics in Business and Industry

You will also carry out a 60 credit research project.

Online Distance Learning

Online distance learning at the University of Glasgow allows you to benefit from the outstanding educational experience that we are renowned for without having to relocate to our campus. You do not need to have experience of studying online as you will be guided through how to access and use all of our online resources.

Virtual Learning

Your courses will consist of rich interactive reading material, tutor-led videos and computer-led programming sessions. You will be provided with access to electronic articles and books for background reading. Regular online assessments will allow you to monitor your progress.

Collaborative learning

Community building and collaborative learning is a key focus of our online delivery and you will be encouraged and supported to interact with your fellow classmates and tutors in a variety of ways.

Requirements

All you need to participate in this online programme is a computer and internet access.

On-campus examinations

In the first year of the programme you will need to take three paper-based examinations, held on May 2018 (preliminary dates: May 7th to 9th, 2018). UK-based students will haver to take these examinations in Glasgow. Students from abroad can choose to either travel to Glasgow or take the examination in a local test centre, such as British Council offices. Test centres are subject to approval by the University and the candidate is responsible for any local fees charged by the test centre.

Career prospects

Data is becoming an ever increasing part of the modern world, yet the talent to extract information and value from complex data is scarce. There is a massive shortage of data-analytical skills in the workforce. Statistical Analysis and Data Mining was listed by LinkedIn as the hottest skill in 2014 and came second in 2015 and 2016. This programme opens up a multitude of career opportunities and/or boosts your career trajectory.

Graduates from the programmes in our School have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance, business consulting and government statistical services, while others have continued on to a PhD.

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Programme description. Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can help inform business decisions to increase efficiency and ultimately build a competitive edge. Read more

Programme description

Given the ever-increasing volume of data that businesses have access to today, there is a demand for employees who have computational and analytical skills and who can help inform business decisions to increase efficiency and ultimately build a competitive edge. Our Masters in Business Analytics has been developed with just that in mind and aims to train students to understand the variety of business environments as well as importance and relevance of decision problems facing organisations and ways of solving these using a variety of techniques.

Students will learn how to apply descriptive, predictive, and prescriptive analytics of big data concepts and techniques to generate valuable insight that can assist with decision making. Last, but not least, the Masters will provide students with hands-on experience in applying these concepts and using these techniques and most of the popular analytics software through their projects including industry projects. In sum, the programme aims to equip students with the skills required to interpret, conceptualise and convert Big Data into useful information and thus enabling students to make better informed decisions as future business managers.

Programme structure

All students attend and complete four core courses in Semester 1 and four option courses in Semester 2. The programme concludes with a 60-credit Dissertation. Details of core and option courses are shown below.

Core courses - Semester 1

  • Principles of Data Analytics
  • Predictive Analytics and Modelling of Data
  • Prescriptive Analytics with Mathematical Programming
  • Business Analytics with Heuristics

Option courses - Semester 2

  • Performance Analytics with DEA
  • Media and Web Analytics
  • Industrial Analytics
  • Business Analytics with Simulation
  • Inventory Analytics
  • Supply Chain Analytics with Games

The Dissertation: Each student conducts an individual research project on a subject within business analytics, chosen in consultation with an academic supervisor. MSc candidates write up their work as a Dissertation (maximum 15,000 words with a maximum of 10% margin either way), which is submitted by the end of August. Some Dissertation topics are offered that involve working with business, NGOs or other organisations.

Learning outcomes

General Educational aims are to:

  • Enable all participants to recognise, understand and apply the language, theory and models of the field of business analytics.
  • Foster an ability to critically analyse, synthesise and solve complex unstructured business problems.
  • Encourage an aptitude for business improvement, innovation and entrepreneurial action.
  • Encourage the sharing of experiences to enhance the benefits of collaborative learning.
  • Instil a sense of ethical decision-making and a commitment to the long-run welfare of both organisations and the communities that they serve.

Specific Educational aims are to:

  • Understand and critically apply the concepts and methods of business analytics.
  • Identify, model and solve decision problems in different settings
  • Interpret results/solutions and identify appropriate courses of action for a given managerial situation whether a problem or an opportunity.
  • Create viable solutions to decision making problems.

Career opportunities

It is anticipated that the demand for data analytics employees will continue and indeed grow as analytics is viewed as a key competitive resource by many companies. If market forecasts are anything to go by then the Big Data technology and services market will grow at a 26.4% annual growth rate to $41.5 billion through 2018, or about 6 times the growth rate of the overall information technology market (Source: IDC). This will inevitably lead to further growth of the market for employees in the area of data analytics.

The new MSc in Business Analytics will offer students from a range of degree backgrounds the opportunity to equip themselves with an artillery of concepts, methods and applications of business analytics along with hands-on and practical experience in applying them to industry projects in different business settings. It is not just about being able to analyse and digest the data available but to then translate this into effective decision-making. In sum, we expect the new programme to open a range of career pathways in analytics for our graduates including business consultants, business analysts, business intelligence & analytics consultants, metrics & analytics specialists, analytics associates, data analysts, solution architects, business process analysts, management consulting associates, and operational research consultants.



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Digital Business Global Master has been designed to provide the necessary knowledge to all those professionals and students who want to improve their organizational skills and increase their competitiveness in the market. Read more
Digital Business Global Master has been designed to provide the necessary knowledge to all those professionals and students who want to improve their organizational skills and increase their competitiveness in the market. Additionally, under our guidance, people will not only understand but learn how to implement decision-making skills in order to elevate the existing level of the organization under their Management to a higher level of productivity and market orientation.

This course is not exclusively for “Tech Guys”, but is available for anyone who would like to be equipped with the tools to become a leader of the digital procedures of a company. No company can avoid this change and therefore all businesses must adapt their workflows to continue to compete in the current market. What Zigurat does is offers you the possibility of not only getting ahead in this marketing adjustment but rather to pioneer this movement.
This Global program has the potential to become the new MBA for the Business Sector.

In collaboration with IBM, Sabis, Elogia, Setesca ...

Goals

We have the tools and the capacity. We are the geniuses of the new era and as such we must reach out to others and overcome all the limitations imposed by humanity.
We have the power and with that, the world at our fingertips. We are unified in our desire to defeat such limitations. We are the new definition of billionaire. With our connection and our capacity to discover and evolve we can and will be the most competitive product in the market.
This is more than a conventional masters program. This course will guide you through one of the most epic changes in our era – the 4th revolution.
We will penetrate different market sectors, and for each of them, highlight the fundamental changes in each process including human resources practices and technological tools. Thereafter, we will demonstrate how to use such progress, implanting them into your business regime and converting your work ethic from “traditional” to a more progressive current way of working.
What will you be capable of doing?

By the end of this course you will understand how to apply the best plethora of collaborative and digital tools to improve your business strategies and processes.

Content Program:

Module 1: Competitive models
Module 2: Digital Business model
Module 3: Omnichannel marketing and sales models
Module 4: Digital maturation analysis of the organization and strategic model
Module 5: Basic people skills and competences
Module 6: Management and innovation models
Module 7: Transformation of the value chain: Purchasing
Module 8: Transformation of the value chain : Logistics
Module 9: Transformation of the value chain: Production
Module 10:Transformation of the value chain: Distribution
Module 11: Transformation of the value chain: Marketing
Module 12: Transformation of the value chain: FICO
Module 13: Transformation of the value chain: Information Technology
Module 14: Transformation of the value chain: Human Resources
Module 15: Cybersecurity and Digital Business Security
Module 16: Digital business enablers (IoT, BlockChain, BigData, Predictive, AI)
Module 17: Collaborative models
Module 18: Predictive models and advanced data analysis
Module 19: Industry 4.0
Module 20: Impact of electrification and sustainable consumption

International Summit
3 days in Barcelona

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This course aims to provide a broad-based understanding of the subject and then a study of in-depth topics covering modern technology for Power Systems, Power Electronics and related subjects. Read more
This course aims to provide a broad-based understanding of the subject and then a study of in-depth topics covering modern technology for Power Systems, Power Electronics and related subjects. It will prepare students for a career as a professional engineer working in research, design or industrial applications.

The modular structure of the MSc in Electrical Engineering offers students a great deal of flexibility, allowing them to choose the
modules that most reflect their interests and feed into their research project. The modules cover the following subjects; power electronics, drives, power systems (including distributed generation and wind power), design of single and multi-variable control systems, motor and generator design, instrumentation and measurement. This course is suitable for graduates of related disciplines who wish to convert to electrical engineering.

Students will develop:
up-to-date knowledge of electrical engineering, including design and modelling techniques and applications
the ability to plan and undertake an individual project
interpersonal, communication and professional skills
the ability to communicate ideas effectively in written reports
the technical skills to equip them for a leading career in electrical engineering, especially in the areas of power electronics, power systems, electrical machines and control

Following the successful completion of the taught modules, an individual research project is undertaken during the summer term.

Previous research projects on this course have included:
Modular converter topologies for power system applications
Predictive control for an uninterruptable power supply
Power systems stability enhancement using Static Converter (STATCOM)
Sensorless permanent magnet motor drives for more electric aircraft applications

Scholarship information can be found at http://www.nottingham.ac.uk/graduateschool/funding/index.aspx

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If you are an ambitious social science, engineering or mathematics graduate, the internationally-recognised Transport Planning course will equip you with the tools to help address global challenges such as climate change mitigation and reduction through the development of safe and efficient city transport networks and mass public transport. Read more

If you are an ambitious social science, engineering or mathematics graduate, the internationally-recognised Transport Planning course will equip you with the tools to help address global challenges such as climate change mitigation and reduction through the development of safe and efficient city transport networks and mass public transport.

97% of our graduates find employment in a professional or managerial role, or continue with further studies.*

This ranges from transport consultancies and operating companies, through to planning departments, international agencies and academic research.

For those already in the profession, this course is seen in the industry as the passport to recognition by professional bodies.

Be taught by academics with an international reputation whose research sets industry standards, on a course that has been designed in close collaboration with industry. This includes policy, travel behaviour, modelling, data analysis, land use planning, and public transport planning and management using research and evidence from around the world.

Use research models and tools developed by our staff that set industry standards around the world.

A degree in Transport Planning will not only provide you with a deeper understanding of these analytical and predictive tools, but also gives you:

  • Hands on experience of collecting and evaluating data: the key to good planning
  • Expertise in sustainable spatial analysis
  • Deep insights into human travel behaviour to ensure plans are successfully implemented.

And experience what it is like to be part of a project team working across disciplinary boundaries within the transport sector. Through this, gain insights into how planning, economics, environmental science, modelling and engineering can work together to develop sustainable solutions to global challenges. This industry-inspired approach will enable you to apply your knowledge to real-world issues in the field.

Your colleagues will be among the best and brightest from Latin America to the Far East, from Africa to Europe and the UK. Together you will learn planning techniques that will help you develop transport networks that are founded on robust evidence, sustainable and equitable social principles, state-of-the-art modeling, accurate data analysis, and a profound understanding of human psychology.

ITS – the global institute teaching the transport leaders of tomorrow.

*Higher Education Statistics Agency (HESA), Destinations of Leavers from Higher Education (DLHE) 2015, http://www.hesa.ac.uk

We have redesigned our suites of courses following close consultation with Industry and academia.

With a strong focus on industry needs, our degrees will prepare you for employment in your chosen field. They will also address the multi-disciplinary nature of transport – enabling you to make effective decisions for clients, employers and society.

And to experience what it’s really like to work in the transport sector, collaborate with a project team of students from our other degrees through our new Transport Integrated Project module.

Research environment

The Institute for Transport Studies (ITS) was established as the UK’s first multi-disciplinary transport department, and we continue to lead the field with our research.

Our reputation allows us to invest in world-class facilities, such as the University of Leeds Driving Simulator – one of the most sophisticated in any university in the world, allowing us to research driver behaviour in controlled lab conditions. We also have access to a variety of specialist software tools including those we’ve developed in-house such as SATURN, PLUTO, DRACULA, MARS and KonSULT.

Other Study Options

This programme is available part time, allowing you to combine study with other commitments. You can work to fund your studies, or gain a new qualification without giving up an existing job. We aim to be flexible in helping you to put together a part-time course structure that meets your academic goals while recognising the constraints on your study time.

You can also study this subject at Postgraduate Diploma level, part time or full time, or at Postgraduate Certificate level with our PGCert in Transport Studies.

Accreditation

This programme is recognised by the major professional bodies in the transport sector. It fulfils the educational requirements for membership of the Chartered Institute of Logistics and Transport (CILT UK) and the Chartered Institution of Highways and Transportation (CIHT) and provides a pathway towards the Transport Planning Professional (TPP) qualification.

Course structure

Compulsory modules

  • Understanding Travel Behaviour 15 credits
  • Shaping Future Transport Systems 15 credits
  • Principles of Transport Modelling 15 credits
  • Transport Data Collection and Analysis 15 credits
  • Sustainable Spatial Planning and Analysis 15 credits
  • Transport Dissertation 60 credits
  • Transport Integrated Project 15 credits

For more information on typical modules, read Transport Planning MSc Full Time in the course catalogue

For more information on typical modules, read Transport Planning MSc Part Time in the course catalogue

Learning and teaching

Postgraduate study involves a range of teaching methods, supported by independent learning. In addition to the traditional lecture and seminar formats, you’ll experience a blend of workshops, computer exercises, practical sessions, directed reading, reflective journal, student-led discussions, fieldwork and tutorials.

Assessment

Assessment is equally varied and can include coursework essays, case-study reports, group assignments, posters, presentations and exams.

Field trips

Transport at ITS is an applied subject. We offer plenty of opportunities for students to experience transport systems in action, both within the UK and Europe, allowing you to meet and hear directly from transport professionals and see what you’ve learned in practice.

For many of our students, the highlight of their year is the European Field Trip. This week-long trip which takes place after the summer exams and has been a fixture in the ITS calendar since 1987. The itinerary varies from year to year, but has often included Belgium, The Netherlands and Germany.

Stops en-route have included Pedestrian Centres and Docklands Transport in Rotterdam; Cycle and Traffic Calming Facilities in Delft; the Motorway Traffic Control Centre in Amsterdam; the Guided Bus System in Essen; the Wuppertal Monorail; Town Planning features in Duisburg and Dusseldorf; research talks at the University of Hasselt, and visit to the Brussels Metro.



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The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. Read more

Mathematical Biology at Dundee

The University of Dundee has a long history of mathematical biology, going back to Professor Sir D'Arcy Wentworth Thompson, Chair of Natural History, 1884-1917. In his famous book On Growth and Form (where he applied geometric principles to morphological problems) Thompson declares:

"Cell and tissue, shell and bone, leaf and flower, are so many portions of matter, and it is in obedience to the laws of physics that their particles have been moved, molded and conformed. They are no exceptions to the rule that God always geometrizes. Their problems of form are in the first instance mathematical problems, their problems of growth are essentially physical problems, and the morphologist is, ipso facto, a student of physical science."

Current mathematical biology research in Dundee continues in the spirit of D'Arcy Thompson with the application of modern applied mathematics and computational modelling to a range of biological processes involving many different but inter-connected phenomena that occur at different spatial and temporal scales. Specific areas of application are to cancer growth and treatment, ecological models, fungal growth and biofilms. The overall common theme of all the mathematical biology research may be termed"multi-scale mathematical modelling" or, from a biological perspective, "quantitative systems biology" or"quantitative integrative biology".

The Mathematical Biology Research Group currently consists of Professor Mark Chaplain, Dr. Fordyce Davidson and Dr. Paul Macklin along with post-doctoral research assistants and PhD students. Professor Ping Lin provides expertise in the area of computational numerical analysis. The group will shortly be augmented by the arrival of a new Chair in Mathematical Biology (a joint Mathematics/Life Sciences appointment).

As a result, the students will benefit directly not only from the scientific expertise of the above internationally recognized researchers, but also through a wide-range of research activities such as journal clubs and research seminars.

Aims of the programme

1. To provide a Masters-level postgraduate education in the knowledge, skills and understanding of mathematical biology.
2. To enhance analytical and critical abilities and competence in the application of mathematical modeling techniques to problems in biomedicine.

Prramme Content

This one year course involves taking four taught modules in semester 1 (September-December), followed by a further 4 taught modules in semester 2 (January-May), and undertaking a project over the Summer (May-August).

A typical selection of taught modules would be:

Dynamical Systems
Computational Modelling
Statistics & Stochastic Models
Inverse Problems
Mathematical Oncology
Mathematical Ecology & Epidemiology
Mathematical Physiology
Personal Transferable Skills

Finally, all students will undertake a Personal Research Project under the supervision of a member of staff in the Mathematical Biology Research Group.

Methods of Teaching

The programme will involve a variety of teaching formats including lectures, tutorials, seminars, journal clubs, case studies, coursework, and an individual research project.

Taught sessions will be supported by individual reading and study.

Students will be guided to prepare their research project plan and to develop skills and competence in research including project management, critical thinking and problem solving, project reporting and presentation.

Career Prospects

The Biomedical Sciences are now recognizing the need for quantitative, predictive approaches to their traditional qualitative subject areas. Healthcare and Biotechnology are still fast-growing industries in UK, Europe and Worldwide. New start-up companies and large-scale government investment are also opening up employment prospects in emerging economies such as Singapore, China and India.

Students graduating from this programme would be very well placed to take advantage of these global opportunities.

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This programme will teach you how to apply project management, industrial experimental design, sensory and quality design techniques to food product development - from concept to product launch. Read more

This programme will teach you how to apply project management, industrial experimental design, sensory and quality design techniques to food product development - from concept to product launch.

You’ll develop in-depth specialist knowledge of scientific techniques and practical skills in the assessment and control of food quality, food safety, product design and new product development. In addition to industrial monitoring of quality, you will also study industry standard techniques and international standards in quality and safety management, as well as the impact of EU law and legislation on food products.

Course content

Throughout the programme you will develop an understanding of the underpinning scientific techniques in chemistry, biochemistry, physics, mathematics and biology relevant in applications of food science and the food industry.

You’ll examine different aspects of the product development process from product conception through to product launch. Through the process you’ll apply principles of project management, industrial experimental design, quality design techniques and sensory science in developing new food products and production processes that integrate consumer needs and expectations ,while at the same time conforming to food legislation, food quality and safety requirements.

The study of the principles of quality assurance, management and improvement and its application through design, measurement and monitoring will also be examined, covering aspects such as quality auditing, quality control and HACCP, predictive modelling and experimental design.

Course structure

Compulsory modules

  • Microbiological and Chemical Food Safety 20 credits
  • Food Processing 20 credits
  • Structure and Function of Food Components 20 credits
  • Food Analysis 10 credits
  • Food Product Development 80 credits
  • Sensory Science 20 credits
  • Food Quality Assurance and Control 10 credits

For more information on typical modules, read Food Quality and Innovation MSc in the course catalogue

Learning and teaching

Teaching is by lectures, practical classes, tutorials, seminars and supervised research projects. Extensive use is made of IT and a wide range of materials is available to enable you to study at your own pace and in your own time, to enhance and extend the material taught formally.

Assessment

Assessment is by course work and written exams which take place at the end of the semester in which the module is taught.

Career opportunities

Postgraduates from the School go into careers in research, in the food industry, into regulatory and public bodies across the world, backed by the confidence and skills gained from studying at one of the leading schools of food science and nutrition internationally.

Our graduates are in big demand and food companies come to Leeds to recruit the best talent. Some of our past graduates hold key positions in the food industry and government agencies.

There are many opportunities open to you within the food industry, from jobs in nutrition and new product development to roles in the supply chain, purchasing, logistics and distribution. You may decide to become a development scientist, working on new foodstuffs and producing food which is safe and nutritious with a consistent flavour, colour and texture. There are roles within this area in industry, but also within government and local authority food inspection departments. Other job roles include industrial buyer, retail buyer, production manager or quality assurance manager.

Read more about typical career paths:

Further study

A Masters in food science will also serve you well in progression to research-led projects. Many of our students go on to undertake PhD research here at the University of Leeds in one of the School’s research groups.

Read about postgraduate research in the School of Food Science and Nutrition.

Careers support

The School of Food Science and Nutrition has its own dedicated Employability Enhancement Officer who can offer quality advice and support with regards to careers, CV and cover letter writing, job applications etc. The Employability Enhancement Officer promotes a range of opportunities available to students to ensure they maximise their capabilities through a process of personal development and career planning.

We encourage you to prepare for your career from day one. That’s one of the reasons Leeds graduates are so sought after by employers.

The Careers Centre and staff in your faculty provide a range of help and advice to help you plan your career and make well-informed decisions along the way, even after you graduate. Find out more at the Careers website



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Mathematics is the science of structures, including mathematics itself. Discovery of new patterns and relations, and the construction of models with predictive power are the core of mathematics. Read more

Mathematical Sciences

Mathematics is the science of structures, including mathematics itself. Discovery of new patterns and relations, and the construction of models with predictive power are the core of mathematics.

Frequently, we see an interaction between fundamental and applied research. This versatility is reflected in the Master's programme Mathematical Sciences, which a broad range of courses is offered. Both students who want to specialise and students who aim for a wider background in mathematics.

[Tracks]]

You can tailor your programme by selecting one of the following seven tracks:
-Algebraic Geometry and Number Theory
-Applied Analysis
-Complex Systems
-Differential Geometry and Topology
-Logic
-Probability, Statistics, and Stochastic Modelling
-Pure Analysis
-Scientific Computing
-You can also choose to do a Research project in History of Mathematics.

This Master's programme offers a broad scope in a stimulating international environment which is renowned for its excellent research. Students who prefer to research subjects in depth will feel particularly at home at Mathematical Sciences.

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Since the world went online, information has grown rapidly in volume and become infinitely more accessible. At the same time, information science and systems have been converging towards a common focus on information discovery, organisation, and management. Read more
Since the world went online, information has grown rapidly in volume and become infinitely more accessible. At the same time, information science and systems have been converging towards a common focus on information discovery, organisation, and management. Information management is essential in libraries, archives, museums and business, and is a much sought-after skill in careers spanning the sectors for example, in governmental, legal, financial, media and publishing organisations. Meanwhile, owners and users of information need to be able to access and evaluate information in faster and more intuitive ways.

Key benefits

This course is accredited by The Chartered Institute of Library and Information Professionals (CILIP).

Course detail

The MSc Information Management is vocational and practice-oriented, designed to support information and knowledge managers. The course provides an excellent balance of traditional information management and library science, informed by cutting edge developments in information architecture and data management. It's an important route for anyone seeking professional chartership or progress to management roles.

Modules

• Information Contexts (30 credits)
• Knowledge Organisation (30 credits)
• Information and Digital Literacy (15 credits)
• Personal and Organisational Management (15 credits)
• Information and Knowledge Management
• Data Management
• Designing The User Experience
• Big Data
• Cloud Computing
• Linked, Open Data and The Internet of Things
• Machine Learning and Predictive Analytics
• Social Media and Web Science
• Dissertation

Format

You'll learn through lectures, discussions, tutorials, practical exercises and independent reading, as well as working together in small groups.

The course has a virtual learning environment online that supports you throughout your studies. It's a useful way to communicate with fellow students and teaching staff, find administrative details about the modules, and access course materials.

We regularly welcome specialist tutors to the department to contribute to specific modules.

Assessment

Assessment in most modules is through written coursework, portfolios, presentations and written exams. The supervisor and second marker will assess your dissertation.

Careers / Further study

This qualification is an excellent route to range of careers, and as a complement to existing career skills and professional development for example, for those moving into managerial roles. Our graduates have gone on to successful careers in a wide range of sectors, including educational, public sector and museum archivist roles, plus a variety of consultancy and professional services positions.

Alumni have prominent roles in local library services, university libraries in Bristol and Bath, with the government, and in records management roles in public and private sectors.

For anyone looking to pursue PhD research positions, this course is considered a highly valuable preparatory route.

How to apply

Information on applications can be found at the following link: http://www1.uwe.ac.uk/study/applyingtouwebristol/postgraduateapplications.aspx

Funding

- New Postgraduate Master's loans for 2016/17 academic year –

The government are introducing a master’s loan scheme, whereby master’s students under 60 can access a loan of up to £10,000 as a contribution towards the cost of their study. This is part of the government’s long-term commitment to enhance support for postgraduate study.

Scholarships and other sources of funding are also available.

More information can be found here: http://www1.uwe.ac.uk/students/feesandfunding/fundingandscholarships/postgraduatefunding.aspx

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