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Masters Degrees (Data Fusion)

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* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Read more

Studentships

* One-year masters studentships are available for this stream. Each studentship will be worth £5000 and can be taken either as a reduction in fees or as a bursary. Studentships will be awarded based on academic merit and are open to all applicants, regardless of fee status (home/EU/overseas). Please indicate 'Data Science' in the first line of your personal statement.

* Two PhD Studentships targeted at successful graduates from this stream. Two 3-year PhD studentships will be on offer, targeted at students obtaining a minimum of a Pass with Merit on the Data Science stream. These studentships will cover the cost of tuition fees for home/EU applicants and a stipend at standard Research Council rates.

Stream overview

The Data Science stream provides an interdisciplinary training in analysis of ‘big data’ from modern high throughput biomolecular studies. This is achieved through a core training in multivariate statistics, chemometrics and machine learning methods, along with research experience in the development and application of these methods to real world biomedical studies. There is an emphasis on handling large-scale data from molecular phenotyping techniques such as metabolic profiling and related genomics approaches. Like the other MRes streams, this course exposes students to the latest developments in the field through two mini-research projects of 20 weeks each, supplemented by lectures, workshops and journal clubs. The stream is based in the Division of Computational and Systems Medicine and benefits from close links with large facilities such as the MRC-NIHR National Phenome Centre, the MRC Clinical Phenotyping Centre and the Centre for Systems Oncology. The Data Science stream is developed in collaboration with Imperial’s Data Science Institute.

Who is this course for?

Students with a degree in physical sciences, engineering, mathematics computer science (or related area) who wish to apply their numeric skills to solve biomedical problems with big data.

Stream Objectives

Students will gain experience in analysing and modelling big data from technologically advanced techniques applied to biomedical questions. Individuals who successfully complete the course will have developed the ability to:

• Perform novel computational informatics research and exercise critical scientific thought in the interpretation of results.
• Implement and apply sophisticated statistical and machine learning techniques in the interrogation of large and complex
biomedical data sets.
• Understand the cutting edge technologies used to conduct molecular phenotyping studies on a large scale.
• Interpret and present complex scientific data from multiple sources.
• Mine the scientific literature for relevant information and develop research plans.
• Write a grant application, through the taught grant-writing exercise common to all MRes streams.
• Write and defend research reports through writing, poster presentations and seminars.
• Exercise a range of transferable skills by taking short courses taught through the Graduate School and the core programme of the
MRes Biomedical Research degree.

Projects

A wide range of research projects is made available to students twice a year. The projects available to each student are determined by their stream. Students may have access from other streams, but have priority only on projects offered by their own stream. Example projects for Data Science include (but are not limited to):

• Integration of Multi-Platform Metabolic Profiling Data With Application to Subclinical Atherosclerosis Detection
• What Makes a Biological Pathway Useful? Investigating Pathway Robustness
• Bioinformatics for mass spectrometry imaging in augmented systems histology
• Processing of 3D imaging hyperspectral datasets for explorative analysis of tumour heterogeneity
• Fusion of molecular and clinical phenotypes to predict patient mortality
• 4-dimensional visualization of high throughput molecular data for surgical diagnostics
• Modelling short but highly multivariate time series in metabolomics and genomics
• Searching for the needle in the haystack: statistically enhanced pattern detection in high resolution molecular spectra

Visit the MRes in Biomedical Research (Data Science) page on the Imperial College London web site for more details!

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The University of Liverpool Management School is one of an elite group of institutions worldwide to be AACSB-Accredited. Read more
The University of Liverpool Management School is one of an elite group of institutions worldwide to be AACSB-Accredited.

Programme Overview

Big Data, a fusion of fast moving digital technologies, management and computer science offers a unique opportunity to study a contemporary subject and attain knowledge which may be applied in a variety of sectors and services.

There is growing demand in the industry and business communities for highly skilled managers with a sound strategic and applied understanding of the opportunities and challenges of Big Data. This programme is for those who wish to pursue a career in this rapidly growing and dynamic field.

Through this programme you’ll be able to:

- Prepare yourself as one of tomorrow’s managers and business executives with unique exposure to current business opportunities, challenges and developments in the area of Big Data Business Management.
- Learn with cutting-edge examples. In addition to presentations, lectures and tutorials, the academic content of the programme is underpinned by case studies and projects which are supported by leading industry practitioners and researchers.
- Develop and demonstrate your own knowledge with a project dissertation.

Key Facts

REF 2014
27th in the UK for 4* and 3* (world leading and internationally excellent), 100% impact and 88% environment at 4* and 3*.

Why University of Liverpool Management School?

'Learning to make a difference'

AACSB-Accredited, the University of Liverpool Management School is in the top 5% of business schools worldwide. Regarded as one of the most rigorous assessments, many top global recruiters will only consider candidates from AACSB-Accredited schools – a clear signal that our programmes respond to the needs of business and meet specific standards of excellence.

The University of Liverpool Management School works with today's leaders in business and management to prepare its students to be the leaders of the future. The school's mission is 'Learning to make a difference' and there is a fundamental belief that the purpose of the School's research and teaching is to develop students who are not only good managers, but individuals who are truly committed to making a difference. We hope that our students will use the knowledge and skills they gain here in their future roles to help solve some of the most endemic problems individuals, enterprises and communities face.

Career prospects

The aim of this programme is to jointly prepare tomorrow’s business leaders with unique exposure to the rapidly evolving field of Big Data and the opportunities, challenges and developments associated with running or expanding digital business enterprises.

Careers Support

From the moment you start your MSc you will have access to a specialist careers team which includes a professionally qualified MSc Careers Adviser and a dedicated International Employer Engagement Officer.

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This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. Read more
This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. It will provide you with the opportunity to gain a sound understanding of the internet protocol suite that forms the core for current data networks. The fusion of the internet world and multimedia is also addressed, as well as wireless communications. You can combine this course with management studies.

Key features
-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to study for industry certification, including CISCO, as an optional extra to the masters programme.
-You will have the option to work in one of our state-of-the-art research labs, called WMN (Wireless Multimedia and Networking). WMN is involved in EU and UK research collaborations and offers opportunities for advanced research and short-term research fellowships on completion of your MSc degree.

What will you study?

Using the latest methods and conforming to current network design standards, you will develop a disciplined engineering approach to, and sound practical skills in, the specification, design, modelling and implementation of software and hardware. You will gain specialist knowledge of digital communications , multimedia communications , wireless networks, security issues and other advanced technologies. You will have access to a dedicated test LAN/ WLAN with a diverse range of platforms and equipment, including wireless networks and enterprise scale networking technologies.

The management studies route modules will set your technical knowledge in a management context.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Networking and Data Communications MSc modules
-Data Communications
-Wireless Communications and Networks
-Network and Information Security
-Multimedia Communications
-Project Dissertation

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This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. Read more
This course aims to provide the knowledge and skills required to design, model and effectively operate secure and dependable digital IP-based networks. It will provide you with the opportunity to gain a sound understanding of the internet protocol suite that forms the core for current data networks. The fusion of the internet world and multimedia is also addressed, as well as wireless communications. You can combine this course with management studies.

Key features

-This course is accredited by BCS, The Chartered Institute for IT.
-You will have the opportunity to study for industry certification, including CISCO, as an optional extra to the masters programme.
-You will have the option to work in one of our state-of-the-art research labs, called WMN (Wireless Multimedia and Networking). WMN is involved in EU and UK research collaborations and offers opportunities for advanced research and short-term research fellowships on completion of your MSc degree.

What will you study?

Using the latest methods and conforming to current network design standards, you will develop a disciplined engineering approach to, and sound practical skills in, the specification, design, modelling and implementation of software and hardware. You will gain specialist knowledge of digital communications , multimedia communications , wireless networks, security issues and other advanced technologies. You will have access to a dedicated test LAN/ WLAN with a diverse range of platforms and equipment, including wireless networks and enterprise scale networking technologies.

The management studies route modules will set your technical knowledge in a management context.

Assessment

Coursework and/or exams, research project/dissertation.

Work placement scheme

Kingston University has set up a scheme that allows postgraduate students in the Faculty of Science, Engineering and Computing to include a work placement element in their course starting from September 2017. The placement scheme is available for both international and home/EU students.

-The work placement, up to 12 months; is optional.
-The work placement takes place after postgraduate students have successfully completed the taught portion of their degree.
-The responsibility for finding the placement is with the student. We cannot guarantee the placement, just the opportunity to undertake it.
-As the work placement is an assessed part of the course for international students, this is covered by a student's tier 4 visa.

Details on how to apply will be confirmed shortly.

Course structure

The full MSc course consists of an induction programme, four taught modules, and project dissertation. Please note that this is an indicative list of modules and is not intended as a definitive list.

Networking and Data Communications with Management Studies MSc modules
-Data Communications
-Wireless Communications and Networks
-Network and Information Security
-Business in Practice
-Project Dissertation

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Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. Read more

About Computer Science

Computer Science is one of the drivers of technological progress in all economic and social spheres. Those graduating with an M.Sc. in Computer Science are specialists in at least one field of computer science who have wide-ranging science-based methodological expertise.
Graduates are able to define, autonomously and comprehensively, computer science problems and their applications, structure them and build abstract models. Moreover, they are able to define and implement solutions that are at the state of the art of technology and science.

Features

– A broad, international and relevant selection of courses
– As a student, you will work on cutting-edge research projects
– Individual guidance in small learning groups
– Excellent enterprise relations maintained by the chairs and institutes
– Numerous partnerships with universities throughout the world, including a double degree programme with the Institut national des sciences appliquées de Lyon (INSA)

Syllabus

The programme offers the following five focus modules:
1) Algorithms and Mathematical Modelling
2) Programming and Software Systems
3) Information and Communication Systems
4) Intelligent Technical Systems
5) IT Security and Reliability
1) Algorithms and Mathematical Modelling: This module teaches you about determinstic and stochastic algorithms, their implementation, evaluation and optimisation. You will acquire advanced knowledge of computer-based mathematical methods – particularly in the areas of algorithmic algebra and computational stochastics – as well as developing an in-depth expertise in mathematical modelling and complexity analysis of discrete and continuous problems.
2) Programming and Software Systems: This module imparts modern methods for constructing large-scale software systems, as well as creating and using software authoring, analysis and optimisation tools. In this module you will consolidate your knowledge of the various programming paradigms and languages, the structure of language processing systems, and learn to deal with parallelism in program procedures.
3) Information and Communication Systems: In this module you will study the interactions of the classic computer science areas of information systems and computer networks. This focus area represents an answer to the problem of increasing volume and complexity of worldwide information distribution and networks, and for the growing requirements on quality and performance of computer communication. Additionally, you will learn to transfer database results to multimedia data.
4) Intelligent Technical Systems: In this module you are acquainted with digital image and signal processing, embedded systems and applications of intelligent technical systems in industrial and assistance systems, which are necessary for production automation and process control, traffic control, medical and building technology. You will learn to develop complex applications using computer systems and deal with topics such as image reconstruction, camera calibration, sensor data fusion and optical measurement technology.
5) IT Security and Reliability: This module group is concerned with security and reliability of IT systems, e.g. in hardware circuitry and communication protocols, as well as complex, networked application systems. To ensure the secure operation of these systems you will learn design methodology, secure architectures and technical implementation of the underlying components.

Language requirements

Unless English is your native language or the language of your secondary or undergraduate education, you should provide an English language certificate at level B2 CEFR, e.g. TOEFL with a minimum score of 567 PBT, 87 iBT or ITP 543 (silver); IELTS starting from 5.5; or an equivalent language certificate.

To facilitate daily life in Germany, it would be beneficial for you to have German language skills at level A1 CEFR (beginner’s level). If you do not have any German skills when starting out on the programme, you will complete a compulsory beginner’s German course during your first year of study.

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The MA Creative Media Arts. Data and Innovation is designed to respond directly to your needs as someone with the ambition to build a career in one of the growth sectors in the UK. Read more
The MA Creative Media Arts: Data and Innovation is designed to respond directly to your needs as someone with the ambition to build a career in one of the growth sectors in the UK: the creative and cultural industries. The course delivers a unique combination of media art and design methodologies alongside basic management and business analytics, to help you build a successful career or venture within this dynamic sector. The curriculum has been developed in response to important research findings, demonstrating that growth in the wider economy is being driven by a creative sector founded on a fusion between digital technologies, creative practice and the wider arts and humanities. It's what we call the “fusion hypothesis”. Drawing extensively on this concept we have developed a programme that brings the cultures of art, technology and enterprise into new and generative combinations.

With its emphasis on focused innovation and rapid prototyping the course is unusual in combining a critical media arts perspective with a deep understanding and engagement with the business-led dynamics of the creative industries.

The course is delivered in the context of Bournemouth University’s world renowned Faculty of Media & Communication, known for its contacts at the heart of the media industry. The programme has been developed and lead by leading practitioners from media art contributing business-led research and development insights from the design sector aimed at developing advanced enterprise and creative projects. The image at the top of this page was taken at the Museo Jumex in Mexico City and features work entitled Squidsoup by Liam Birtles, one of the senior lecturers on this course, just one example of the international reach our team has in this field.

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We actively encourage postgraduate students on this course to undertake internships and build up a portfolio of clients and practical experience. Read more
We actively encourage postgraduate students on this course to undertake internships and build up a portfolio of clients and practical experience.

Course overview

Careers in Sport and Exercise Science can develop in at least two directions. Firstly you can help elite athletes reach their optimum sports performance. Secondly you can help the general population to improve fitness through exercise referral and community programmes.

This course allows you to specialise in both those areas, by providing you with a solid grounding in measurement, evaluation, research methods, data analysis, and sport and exercise psychology. Additionally, you will get the chance to study applied physiology, applied biomechanics or complete a personal project. The final stage is a research project that reflects your developed knowledge and skills.

Compared to undergraduate studies, this Masters has more emphasis on self-directed lab work, data collection and analysis. We encourage you to undertake real-world internships and build up experience with external clients and sports clubs. This practical experience will complement the rigorous research elements of the course.

By the end of the course you will have a portfolio of work, feedback from clients/employers, and a record of practical and academic projects. This will give you a clear advantage when it comes to applying for jobs.

Course content

The course mixes taught elements with independent research and self-directed study. There is flexibility to pursue personal interests in considerable depth, with guidance and inspiration from Sunderland's supportive tutors.

Core modules:
-Measurement and Evaluation (20 Credits)
-Applied Sport and Exercise Psychology (20 Credits)
-Applied Research Methods and Data Analysis (20 Credits)
-Masters Project (60 Credits)

Designated core modules (you must choose one of the following, but you may choose the other as an option):
-Applied Sport and Exercise Physiology (20 Credits)
-Applied Biomechanics in Sport and Exercise (20 Credits)

Optional modules (choose at least one):
-Strength and Conditioning in Practice (20 Credits)
-Sports Injuries, Management and Rehabilitation (20 Credits)
-Applied Weight Management (20 Credits)
-Professional Skills and Practice (20 Credits)
-Independent Learning Project (20 Credits)
-Applied Public Health (20 Credits)
-Brief Interventions (20 Credits)

Teaching and assessment

We use a wide variety of teaching and learning methods which include lectures, problem-based learning seminars, web-based resources, small group discussions and debates. You will develop your practical skills with workshops and laboratory classes.

Assessment methods include essays, case studies, portfolios, oral presentations, scientific reports, practical exams, data analyses, critical reviews, poster presentations and a dissertation.

Facilities & location

We have invested in the latest software and equipment so that you have maximum scope to measure and improve performance. Our facilities will propel your learning in sport and exercise sciences.

Biomechanics equipment

Our equipment can measure motion, muscle activity and forces on the body during high intensity sports and the activities of daily living. Equipment and techniques include the following:
-3D motion capture systems including Vicon® systems and Xsens® motion capture suits
-Software such as Dartfish®, Kinovea® and LongoMatch® software to capture live action images for match tagging and coaching feedback
-Movement tracking tools such as Actigraph® and Catapult®
-Delsys® Trigno electromyography equipment to see how the muscles of the body are working
-Kistler® force platforms and Batak® reaction walls to analyse sporting performance
-Novel® Pedar systems to analyse foot pressure

Exercise Physiology and Psychology
Our laboratories include the most up-to-date equipment for assessing human performance. You’ll get hands-on practical experience with the following:
-Polar® Team2 heart rate monitoring system for assessing the heart rates of a full squad of team players in real time
-Cortex® gas analysers to evaluate cardiovascular performance
-Biochemical analysers from Randox®, Jenway® and Gonotec® to measure substances and enzymes within the body
-Tendo®, Myotest® and Globus® equipment to profile your strength and power and develop specific training programmes
-Fusion Sport® SMARTSPEED light gates for assessing speed, agility and reaction times
-Assess and enhance cognitive performance using our Neurotracker® 3D multiple object tracking equipment

Sports Medicine and Anatomy
Anatomy is taught by experienced staff in a specialist clinical lab using skeletons, anatomical models, 3D software, online material and human subjects. You will learn techniques for sports injury rehabilitation, including the use of sports massage and ultrasound equipment.

You will also examine balance and stability using our Biodex® stability and balance trainer and assess strength imbalances using our sophisticated Biodex® dynamometer and new BTE Primus® rehabilitation equipment. You can investigate how new techniques such as thermal imaging are being used in injury assessment with Flir® IR cameras.

Fitness and Conditioning Suite
In our lab, you'll find fitness and conditioning equipment that would be the envy of most modern gyms. From a wide range of cardiovascular equipment to machine and Olympic weights, you will receive hands-on teaching in a professional environment.

University Library Services
The University library has thousands of relevant books, e-books and journal articles, with many more titles available through the inter-library loan service. We subscribe to useful resources such as SPORTDiscus, which provides journal articles, book chapters and summaries about sport, fitness and related disciplines.

Sciences Complex
This course is based in the Sciences Complex at our City Campus, which has benefited from multi-million pound investments. The IT facilities are excellent and, across the University, there are hundreds of workstations as well as wireless internet access. If you have any computer problems, just ask the friendly helpdesk team.

Sports facilities
Students at Sunderland have easy access to some of the best facilities in the region. These include:
-50m Olympic size swimming pool
-95m artificial ski slope
-Climbing wall with some of the best route setters in the UK
-Football training pitches at Sunderland AFC’s Academy of Light
-Marine Activities Centre for sailing, canoeing, kayaking and powerboating
-LTA indoor tennis centre with 13 indoor and outdoor courts
-Floodlit athletics tracks

CitySpace
Our City Campus features a state-of-the-art facility called CitySpace. It features:
-Sports hall (suitable for hosting large-scale events)
-Fitness suite/gym
-Strength and conditioning room
-Injury prevention and support suite
-Fitness classes
-Climbing wall

Employment & careers

Potential employers of graduates from this course include national sports associations, sports and leisure companies, recreation services, local authorities, health bodies including the NHS, schools and colleges. Job roles include the following (some require further training):
-Sports and exercise scientist
-Performance Analyst
-Sports coach/instructor
-Manager of health promotion initiatives
-Manager of cardiac rehabilitation and exercise referral
-Fitness centre manager
-Personal trainer/specialist fitness instructor
-Lecturer

Recent Sunderland graduates are now working within the fitness industry, sports development and in Further Education colleges.
A Masters degree will also enhance career opportunities within Higher Education and prepare you for further postgraduate studies.

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The course will offer an opportunity for students to study modern ground, mobile and airborne engineering surveying techniques. Satellite positioning technology and the sciences and technologies of remote measurement including photogrammetry, total stations and laser scanning, are still developing rapidly. Read more
The course will offer an opportunity for students to study modern ground, mobile and airborne engineering surveying techniques. Satellite positioning technology and the sciences and technologies of remote measurement including photogrammetry, total stations and laser scanning, are still developing rapidly. These primary data collection techniques with supporting subjects such as aspects of geodesy all form part of this course. The generation of traditional map information as well as 3D surface models and landscapes are covered. The course introduces data and information management, data integration and fusion, spatial analysis and visualisation through GIS and a range of modelling methods and software’s.

This course provides the opportunity to develop a knowledge and in depth of understanding of surveying practise and underpinning theory with an emphasis on geographical information science. Student will have an opportunity to develop practical skills, experience and a deeper understanding of the subject through some major practical tasks and modules

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The Department of Metallurgical and Materials Engineering offers a master of science in metallurgical engineering. Visit the website http://mte.eng.ua.edu/graduate/ms-program/. Read more
The Department of Metallurgical and Materials Engineering offers a master of science in metallurgical engineering.

Visit the website http://mte.eng.ua.edu/graduate/ms-program/

The program options include coursework only or by a combination of coursework and approved thesis work. Most on-campus students supported on assistantships are expected to complete an approved thesis on a research topic.

Plan I is the standard master’s degree plan. However, in exceptional cases, a student who has the approval of his or her supervisory committee may follow Plan II. A student who believes there are valid reasons for using Plan II must submit a written request detailing these reasons to the department head no later than midterm of the first semester in residence.

All graduate students, during the first part and the last part of their programs, will be required to satisfactorily complete MTE 595/MTE 596. This hour of required credit is in addition to the other degree requirements.

Course Descriptions

MTE 519 Principles of Casting and Solidification Processing. Three hours.
Overview of the principles of solidification processing, the evolution of solidification microstructure, segregation, and defects, and the use of analytical and computational tools for the design, understanding, and use of solidification processes.

MTE 520 Simulation of Casting Processes Three hours.
This course will cover the rationale and approach of numerical simulation techniques, casting simulation and casting process design, and specifically the prediction of solidification, mold filling, microstructure, shrinkage, microporosity, distortion and hot tearing. Students will learn casting simulation through lectures and hands-on laboratory/tutorial sessions.

MTE 539 Metallurgy of Welding. Three hours.
Prerequisite: MTE 380 or permission of the instructor.
Thermal, chemical, and mechanical aspects of welding using the fusion welding process. The metallurgical aspects of welding, including microstructure and properties of the weld, are also covered. Various topics on recent trends in welding research.

MTE 542 Magnetic Recording Media. Three hours.
Prerequisite: MTE 271.
Basic ferromagnetism, preparation and properties of magnetic recording materials, magnetic particles, thin magnetic films, soft and hard film media, multilayered magnetoresistive media, and magneto-optical disk media.

MTE 546 Macroscopic Transport in Materials Processing. Three hours.
Prerequisite: MTE 353 or permission of the instructor.
Elements of laminar and turbulent flow; heat transfer by conduction, convection, and radiation; and mass transfer in laminar and in turbulent flow; mathematical modeling of transport phenomena in metallurgical systems including melting and refining processes, solidification processes, packed bed systems, and fluidized bed systems.

MTE 547 Intro to Comp Mat. Science Three hours.
This course introduces computational techniques for simulating materials. It covers principles of quantum and statistical mechanics, modeling strategies and formulation of various aspects of materials structure, and solution techniques with particular reference to Monte Carlo and Molecular Dynamic methods.

MTE 549 Powder Metallurgy. Three hours.
Prerequisite: MTE 380 or permission of the instructor.
Describing the various types of powder processing and how these affect properties of the components made. Current issues in the subject area from high-production to nanomaterials will be discussed.

MTE 550 Plasma Processing of Thin Films: Basics and Applications. Three hours.
Prerequisite: By permission of instructor.
Fundamental physics and materials science of plasma processes for thin film deposition and etch are covered. Topics include evaporation, sputtering (special emphasis), ion beam deposition, chemical vapor deposition, and reactive ion etching. Applications to semiconductor devices, displays, and data storage are discussed.

MTE 556 Advanced Mechanical Behavior of Materials I: Strengthening Methods in Solids. Three hours. Same as AEM 556.
Prerequisite: MTE 455 or permission of the instructor.
Topics include elementary elasticity, plasticity, and dislocation theory; strengthening by dislocation substructure, and solid solution strengthening; precipitation and dispersion strengthening; fiber reinforcement; martensitic strengthening; grain-size strengthening; order hardening; dual phase microstructures, etc.

MTE 562 Metallurgical Thermodynamics. Three hours.
Prerequisite: MTE 362 or permission of instructor.
Laws of thermodynamics, equilibria, chemical potentials and equilibria in heterogeneous systems, activity functions, chemical reactions, phase diagrams, and electrochemical equilibria; thermodynamic models and computations; and application to metallurgical processes.

MTE 574 Phase Transformation in Solids. Three hours.
Prerequisites: MTE 373 and or permission of the instructor.
Topics include applied thermodynamics, nucleation theory, diffusional growth, and precipitation.

MTE 579 Advanced Physical Metallurgy. Three hours.
Prerequisite: Permission of the instructor.
Graduate-level treatments of the fundamentals of symmetry, crystallography, crystal structures, defects in crystals (including dislocation theory), and atomic diffusion.

MTE 583 Advanced Structure of Metals. Three hours.
Prerequisite: Permission of the instructor.
The use of X-ray analysis for the study of single crystals and deformation texture of polycrystalline materials.

MTE 585 Materials at Elevated Temperatures. Three hours.
Prerequisite: Permission of the instructor.
Influence of temperatures on behavior and properties of materials.

MTE 587 Corrosion Science and Engineering. Three hours.
Prerequisite: MTE 271 and CH 102 or permission of the instructor.
Fundamental causes of corrosion problems and failures. Emphasis is placed on tools and knowledge necessary for predicting corrosion, measuring corrosion rates, and combining this with prevention and materials selection.

MTE 591:592 Special Problems (Area). One to three hours.
Advanced work of an investigative nature. Credit awarded is based on the work accomplished.

MTE 595:596 Seminar. One hour.
Discussion of current advances and research in metallurgical engineering; presented by graduate students and the staff.

MTE 598 Research Not Related to Thesis. One to six hours.

MTE 599 Master's Thesis Research. One to twelve hours. Pass/fail.

MTE 622 Solidification Processes and Microstructures Three hours.
Prerequisite: MTE 519
This course will cover the fundamentals of microstructure formation and microstructure control during the solidification of alloys and composites.

MTE 643 Magnetic Recording. Three hours.
Prerequisite: ECE 341 or MTE 271.
Static magnetic fields; inductive head fields; playback process in recording; recording process; recording noise; and MR heads.

MTE 644 Optical Data Storage. Three hours.
Prerequisite: ECE 341 or MTE 271.
Characteristics of optical disk systems; read-only (CD-ROM) systems; write-once (WORM) disks; erasable disks; M-O recording materials; optical heads; laser diodes; focus and tracking servos; and signal channels.

MTE 655 Electron Microscopy of Materials. One to four hours.
Prerequisite: MTE 481 or permission of the instructor.
Topics include basic principles of operation of the transmission electron microscope, principles of electron diffraction, image interpretation, and various analytical electron-microscopy techniques as they apply to crystalline materials.

MTE 670 Scanning Electron Microscopy. Three hours
Theory, construction, and operation of the scanning electron microscope. Both imaging and x-ray spectroscopy are covered. Emphasis is placed on application and uses in metallurgical engineering and materials-related fields.

MTE 680 Advanced Phase Diagrams. Three hours.
Prerequisite: MTE 362 or permission of the instructor.
Advanced phase studies of binary, ternary, and more complex systems; experimental methods of construction and interpretation.

MTE 684 Fundamentals of Solid State Engineering. Three hours.
Prerequisite: Modern physics, physics with calculus, or by permission of the instructor.
Fundamentals of solid state physics and quantum mechanics are covered to explain the physical principles underlying the design and operation of semiconductor devices. The second part covers applications to semiconductor microdevices and nanodevices such as diodes, transistors, lasers, and photodetectors incorporating quantum structures.

MTE 691:692 Special Problems (Area). One to six hours.
Credit awarded is based on the amount of work undertaken.

MTE 693 Selected Topics (Area). One to six hours.
Topics of current research in thermodynamics of melts, phase equilibra, computer modeling of solidification, electrodynamics of molten metals, corrosion phenomena, microstructural evolution, and specialized alloy systems, nanomaterials, fuel cells, and composite materials.

MTE 694 Special Project. One to six hours.
Proposing, planning, executing, and presenting the results of an individual project.

MTE 695:696 Seminar. One hour.
Presentations on dissertation-related research or on items of current interest in materials and metallurgical engineering.

MTE 698 Research Not Related to Dissertation. One to six hours.

MTE 699 Doctoral Dissertation Research. Three to twelve hours. Pass/Fail.

Find out how to apply here - http://graduate.ua.edu/prospects/application/

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The Masters in Mechatronics is a fusion of mechanical, electrical, electronic and control engineering. Modern industry depends for its success in global markets on its ability to integrate these subjects into both the manufacturing process and innovative products and systems. Read more
The Masters in Mechatronics is a fusion of mechanical, electrical, electronic and control engineering. Modern industry depends for its success in global markets on its ability to integrate these subjects into both the manufacturing process and innovative products and systems.

Why this programme

◾Electronic and Electrical Engineering at the University of Glasgow is consistently highly ranked recently achieving 1st in Scotland and 4th in the UK (Complete University Guide 2017).
◾You will learn how to apply design synthesis and analysis techniques within a coherent range of subjects in mechatronic engineering.
◾You will learn how to utilise specific software tools to support mechatronic system synthesis and analysis activity, and professionally plan, report and present the results of multidisciplinary project activity.
◾The University of Glasgow’s School of Engineering has been delivering engineering education and research for more than 150 years and is the oldest School of Engineering in the UK.
◾Mechanical Engineering is a core engineering discipline that has a long history in the University of Glasgow, dating back to the 1760’s and includes famous people such as James Watt.
◾This programme has a September and January intake*.

*For suitably qualified candidates.

Programme structure

Modes of delivery of the MSc in Mechatronics include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work.

You will undertake a project where you will apply your newly learned skills and show to future employers that you have been working on cutting-edge projects relevant to the industry.

Core courses normally offered include

◾Data signal processing
◾Integrated system design project.

Optional courses

◾Advanced manufacture
◾Auto vehicle guidance systems
◾Computer communications
◾Control
◾Fault detection, isolation and reconfiguration
◾Lasers
◾Power electronics and drives
◾Real-time embedded programming
◾Robotics 4.

Projects

◾To complete the MSc degree you must undertake a project worth 60 credits, many of which are conducted with industry.
◾The project will integrate subject knowledge and skills that you acquire during the MSc programme.
◾The project is an important part of your MSc where you can apply your newly learned skills and show to future employers that you have been working on cutting edge projects relevant to the industry.
◾You can choose a topic from a list of MSc projects in Mechatronics. Alternatively, should you have your own idea for a project, department members are always open to discussion of topics.

Example projects

Examples of projects can be found online

*Posters shown are for illustrative purposes

Industry links and employability

◾The MSc in Mechatronics has developed in consultation with industry – it will provide you with the interdisciplinary approach necessary to achieve the coherent integration of these traditionally divided disciplines.
◾The School of Engineering has extensive contacts with industrial partners who contribute to several of their taught courses, through active teaching, curriculum development, and panel discussion. Recent contributors, in the area of Mechanical Engineering include: Babcocks, Howdens, Doosan and Terex.
◾During the programme students have an opportunity to develop and practice relevant professional and transferrable skills, and to meet and learn from employers about working in a wide range of industries.

Career prospects

Career opportunities include manufacturing production systems; system design and manufacture; product engineering and manufacture.

Graduates of this programme have gone on to positions such as:
Senior Software Engineer at Wipro Technologies.

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