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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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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.

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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

Overview

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.

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 numerous subject boundaries relevant to the transport sector. Through this, gain insights into how transport planning, social science, economics, environmental science, modelling and engineering can work together to design transport solutions to global challenges. This industry-inspired initiative will enable you to apply your knowledge to real world transport 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.

You can also study this subject at Postgraduate Diploma level, part time or full time.

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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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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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The MSc Information Technology prepares you for the intellectual, analytical and practical challenges of a career in IT. Read more
The MSc Information Technology prepares you for the intellectual, analytical and practical challenges of a career in IT. You will develop the knowledge and skills necessary to collate information, define, design and build or select the most appropriate IT solutions and develop a deeper understanding of how those solutions apply to professional contexts.

You can study part-time whilst in full-time employment, as there are few pre-requisites for most modules.

Key benefits

The British Computer Society's Professional Graduate Diploma (PGD) is accepted as an appropriate entry qualification for this course. The PGD is also accepted as advanced standing to IT-related undergraduate degrees at UWE Bristol.

Course detail

Upon graduation, you will be able to critically evaluate developments and new applications of information and communication technology systems, and relate them to the roles and uses of IT in different business settings. You will also have an enhanced understanding of system problems and how to choose the right methods and approaches to develop systems. From engaging in primary research for the dissertation and studying relevant literature, you will learn to recognise what constitutes suitable research questions or hypotheses and the appropriate perspectives for analysis.

Structure

The full Masters course is made up of 180 credits divided into three 60 credit stages: Postgraduate Certificate, Postgraduate Diploma and Masters. You will work incrementally through the three stages and need to pass all modules at each stage to be able to progress onto the next.

The MSc route is structured so that three quarters of the taught course comprises core modules, while you choose the rest to fit your personal and professional aspirations and career goals. In the first term, there are four core modules, followed by one core module and two optional ones in the second term.

Modules

Core modules:

• Professionalism And Governance In IT (15 credits)
• Project Management (15 credits)
• Information Security (15 credits)
• Digital Design and Development (15 credits)
• Group Software Development Project (30 credits)

Optional modules:

• Information and Knowledge Management
• Data Management
• Designing The User Experience
• Cloud Computing
• Linked, Open Data and The Internet of Things
• Machine Learning And Predictive Analytics
• Social Media And Web Science
• Big Data

Format

You learn through taught classes supported by independent study, and we provide considerable material online, via UWE Bristol's virtual learning environment, Blackboard.

Assessment

Assessment is through coursework and exams, and the dissertation.

Careers / Further study

UWE Bristol monitors its employment trends closely, and since 1986, we have ensured graduates of this course are equipped for the demands of the real world and are highly regarded by potential employers.

There is a growing need for creative IT graduates who can work with an ever-widening range of technologies and can meet organisational needs in business, education and health. This newly designed course tackles the challenges of technology in modern business and society, head on.

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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If you are from a non-financial background, this course provides a viable route to financial management roles in a variety of organisations. Read more

Why take this course?

If you are from a non-financial background, this course provides a viable route to financial management roles in a variety of organisations.

It is a practically orientated course based on financial, computational and modelling studies related to financial decision making and analysis. You’ll apply your improved decision-making ability in a range of areas including investment, risk management, budgeting, planning and forecasting.

What will I experience?

On this course you can:

Use the University’s Bloomberg terminals to monitor and analyse real-time financial market data movements and trade
Receive guided support and mentoring from staff through formal meetings and via our use of social media
Tap in to our Library’s vast selection of electronic resources, which can be accessed from anywhere with an internet connection

What opportunities might it lead to?

The Chartered Institute of Management Accountants (CIMA) offer exemption for their five Certificate level papers on successful completion of this course.

For the Association of Chartered Certified Accountants (ACCA), we currently have exemptions from Fundamentals Level papers F1 - F3.

The University is recognised as a centre of excellence for finance teaching by the Chartered Institute for Securities and Investment (CISI).

Here are some routes our graduates have pursued:

Commercial banking
Corporate finance
Financial planning
Insurance
Investment banking
Money management
Real estate

Module Details

You will study a total of five units which incorporate a range of topics covering decision and risk analysis, strategic management accounting, investment strategies and business valuation. We will also guide you in applying sophisticated forecasting techniques to help you understand and anticipate business trends, and with our guidance you will learn how to design and deliver research to the highest standards. The course then concludes with your dissertation where you’ll engage in research on a topic of your choice.

Here are the units you will study:

Financial Analysis and Modelling: This will enable you to gain a critical awareness of the financial environment from both an accounting and finance perspective. You will learn to understand, analyse and interpret company reports, examine the role of the regulatory framework for corporate reporting and the stock market, and explore the pricing of securities. You will also cover the key areas of decision and risk analysis, alongside the process of decision making, key statistical concepts, and selecting and using appropriate analytical software tools as aids to decision making.

Strategic Business Planning and Control: You will start on this unit by considering the internal perspectives of the firm in areas such as business planning and control including issues such as budgeting, the design of management control systems and the development of spreadsheet-based decision support systems. You will then build on this foundation by developing a more strategic corporate perspective. You will explore the relationships between strategy, strategic management and strategic management accounting and set the latter in the context of the historical development of management accounting in general.

Managerial Finance and Financial Markets: You will be introduced to key theoretical issues relating to financial markets and institutions, investments and corporate financial management and their practical applications and limitations. The areas covered will encompass shareholder value and the goals of the firm and the process of shareholder value creation, project evaluation and the discounted cash flow model, capital market theories including the efficient markets hypotheses and the ideas of modern portfolio theory. From this core understanding you will move on to look at the psychological, institutional and agency theory factors that impact upon financial markets. You will consider key empirical research on the explanatory and predictive power of models in the context of implementing investment strategies. This will be assisted by guided critical analysis of research and analysis of live data.

Corporate Finance and Valuation: This unit will give you the opportunity to consider the primary financial decisions of the firm focussing on advanced capital budgeting techniques and the strategic analysis of capital investment decisions, capital structure theories and financing policy, and dividend policy. You will appraise theories in the context of empirical research to facilitate critical understanding of the issues. Advanced study in business valuation will give you a practical understanding and further enable you to apply key professional techniques, which is particularly relevant for mergers and acquisitions, initial public offerings and private equity transactions.

Research Methods and Dissertation: This is a scheme of independent research. We offer comprehensive training via lectures and workshops throughout the year to develop skills commensurate with standards of good research practice. On completing this programme you will be ideally placed to develop your own research projects and work within professional research teams.

Programme Assessment

We use a combination of teaching methods from lectures, seminars and tutorials to student presentations, case studies and practical sessions in our Bloomberg Suite. We are committed to best practice in learning and encourage group participation promoting discussion and debate in a friendly, yet challenging class environment.

You are assessed in a variety of ways to reflect the individual topics. Our approaches to learning, assessment and feedback are varied and constructive, to help you build the personal management and employability skills that are essential for a fulfilling career.

Student Destinations

This course is designed to provide you with powerful analytical tools and methods to understand the complexities of modern financial markets. These skills are in high demand and you’ll be strongly placed to enter industry in the finance and industrial sectors. Previous graduates have gone on to secure roles in accountancy and general management as well as investment analysis, financial consultancy and project management in financial institutions. Alternatively, this course is also beneficial if you are aiming for careers in corporate financial management in non-financial companies or consultancy firms, government departments and international agencies.

Roles our graduates have taken on include:

Commercial finance analyst
Bid pricing executive
Finance internship
Graduate econometrician
Hedge fund manager

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Study technical architecture at a university that has been awarded centre of excellence status by the Chartered Institute of Architectural Technologists (CIAT). Read more
Study technical architecture at a university that has been awarded centre of excellence status by the Chartered Institute of Architectural Technologists (CIAT). This course is suitable for architectural technology and architecture graduates, and those from associated built environment, engineering and design disciplines.

The MSc Technical Architecture provides advanced level study in contemporary technical, environmental and professional issues for architecture. You work on design-led projects focusing on the creative and technical consideration of architecture, and carry out a range of applied projects to develop professional skills. Core modules provide key knowledge and skills, which are then applied to design projects. Lectures and projects look at emerging theory and practice in architectural design, technology and construction for new and existing buildings within the UK and global contexts.

All modules address contemporary issues in architecture. There is a focus on environmental and sustainable design and how they are achieved through inventive thinking, creative technical design, scientific understanding and computer aided predictive modelling. You learn to use design software including REVIT, ArchiCad and Ecotect. The course assessments are flexible so you develop your own areas of interest and expertise. Projects can be located in your home country, either in the UK or internationally, or you can explore alternative locations.

The part-time route enables you to work and study at the same time, and you can link your projects to your practice.
In the final stage of the course you produce an original and significant piece of research-led design in the major project module, supported by a research module. This is usually in a subject relevant to your area of architectural interest, technical specialism or practice. You use these concluding modules to identify and develop critical expertise for your chosen career. The course has a strong professional focus. A key feature is an international field trip as part of the interdisciplinary practice module, which you study alongside students in associated professions such as planning, regeneration, real estate and surveying. Other professional modules allow you to work as a consultant to a real client or to study new or alternative forms of computer aided design.

The course is versatile in its teaching approaches and provides educational and professional development opportunities for a range of applicant profiles. These include UK and international students with architecture, construction or environment related degree qualifications and mature applicants with a proven track record in practice.

You are taught by an expert team of staff that includes experienced architectural, digital and environmental practitioners and academics. We also have teaching links with leading consulting engineers such as ARUP and Price and Myers.

For more information, see the website: https://www.shu.ac.uk/study-here/find-a-course/mscpgdippgcert-technical-architecture

Professional recognition

This programme has been recognised by the Chartered Institute of Architectural Technologists (CIAT) as meeting established standards in terms of course content and qualifies the holder for associate membership of the institute (ACIAT).
CIAT recognises Sheffield Hallam University as an accredited Centre of Excellence for learning and teaching in architectural technology.

Course structure

Full time – 1 year, typically two days a week
Part time – typically 2 years, one day a week
Starts September

Core modules
-Concepts and design in technical architecture (30 credits)
-Environmental theory and practice for technical architecture (30 credits)
-Fundamentals of building information modelling (15 credits)
-Applied research methods (15 credits)
-Major project (45 credits)

Option modules
Three optional modules can be selected from:
-Interdisciplinary practice (15 credits)
-Contemporary digital practice in architecture (15 credits)
-Consultancy project (15 credits)
-Historic environments and design (15 credits)
-Academic and professional portfolio (15 credits)

Assessment: design projects, technical and environmental studies, digital modelling, essays, report writing, group projects, presentations, research reports, dissertation or major design project.

Other admission requirements

You need a high level of English language competence to successfully complete the course. If you are a non-native speaker of English, you typically need IELTS 6.0 and no component (listening, reading, writing and speaking) below 5.5. If your English language skill is currently below IELTS 6.0 or equivalent we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English score.

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Wageningen University is one of the leading centres in Food Science and Technology in Europe and the world. The history of the Food Technology programme at Wageningen University goes back more than 50 years; it is considered to be one of the best and most innovative programmes in its field in Europe. Read more

MSc Food Technology

Wageningen University is one of the leading centres in Food Science and Technology in Europe and the world. The history of the Food Technology programme at Wageningen University goes back more than 50 years; it is considered to be one of the best and most innovative programmes in its field in Europe. The programme focuses on aspects of production, composition and design of food products.

Programme summary

The Food Technology programme at Wageningen University has been in place for more than 50 years and is considered one of the best and most innovative programmes in its field in Europe. Wageningen University offers high-level courses and research in all areas of food science; ranging from advanced technical fields, such as Process Engineering or Chemistry, to fields with a more economic or sociological focus, such as Marketing and Gastronomy.

The Wageningen Food Science faculty is larger than that of any other European university. It includes professors and lecturers from a wide range of departments: Food Chemistry, Food Physics, Food Microbiology, Food Quality and Design, and Food Process Engineering. Food Technology covers nearly all aspects of food science and technology. As a result of being a very broad field, students are required to choose one of the specialisations offered.

Specialisations

Within the programme Food Technology you can choose your own specialisation that meets your personal interests.

Ingredient Functionality
This specialisation focuses on the composition of food, especially, on the role of various components, ingredients or structures in the quality and functionality of the final product. It deals with sensory, nutritive and textural aspects of foods in relation to their components. You major in Food Chemistry or Food Physics.

Product Design
While many new products are launched, not all succeed. This specialisation deals with the design and development of new or improved products. The focus is on the processes used in Food Technology, the design of new products from a consumer perspective and on modelling new product concepts/processes and predictive quality control. You major in Food Process Engineering or Food Quality and Design.

Food Innovation and Management
This specialisation combines courses in Food Technology with courses in Management Studies. It is intended for students who wish to work on product development in small businesses or who plan to start their own business. You will do a thesis in Management Studies and an internship in one of the Food Technology groups.

Food Biotechnology and Biorefining
This specialisation focuses on using micro-organisms or enzymes in food production. During this specialisation, you will learn about processes that can be used for biorefinery or agricultural raw materials. The focus is on biotechnological food production. You major in Food Microbiology, Food Chemistry, Food Process Engineering.

Dairy Science and Technology
This specialisation focuses on the dairy production chain. Its core programme consists of dairy-related courses and several additional courses, such as Food Components and Health, Advanced Fermentation Science and Predicting Food Quality. During the second year, you complete a dairy-related thesis research project and internship.

Sustainable Food Process Engineering
This specialisation focuses on the development of processes that are more efficient in their use of resources. Thesis can be carried out under the supervision of one of the following groups: Food Process Engineering; Operations Research and Logistics; Biobased Chemistry and Technology; or Food Quality and Design.

European Masters Degree in Food Studies
This international specialisation is developed in cooperation with the universities of Cork (Ireland), Lund (Sweden) and Agro-Paris Tech (Paris, France) as well as with ten large industrial partners. For more information see: http://www.eurmscfood.nl.

Gastronomy
This specialisation focuses on the molecular science behind products and dishes used in small scale settings. Scientific insights are used to develop improved food preparation techniques. The cultural aspects of food will also receive attention. You major in Food Chemistry, Food Physics or Rural Sociology.

Sensory Science
This specialisation combines Food Technology with Nutrition and Health. You will work with products and humans in different contexts and study how sensory systems function, how this relates to products and how to analyse these aspects.

Your future career

Graduates find jobs with relative ease, especially in the Netherlands and Western Europe. Recent graduates found positions in the private sector (from small- and medium-sized companies to large multinationals), at Wageningen University or other universities as PhD students, and at research institutes domestically and abroad. Graduates also work in the field of process technology at innovation centres, innovative food companies or government agencies. Most achieve management positions.

Student Harmke Klunder
“It is rich in proteins, unsaturated fats, vitamins and is available in large quantities all over the world. You may conclude, ‘The ideal food ingredient.’ However, would you still think it was ideal if you knew it was made from insects? With three other students, we added insects to a third world food product, thereby winning an international competition from the IFT (Institute of Food Technologists). Malnutrition in Africa could be fought by enriching their daily porridge, sorghumpap, with protein-enhanced termites. As food ingredients technologist, it is possible to look beyond the products found on the shelves of the local supermarkets.”

Related programmes:
MSc Food Quality Management
MSc Food Safety
MSc Biotechnology
MSc Nutrition and Health

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