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This is a challenging one-year taught Master’s degree programme that provides students with a range of advanced topics drawn from communication networks (fixed and wireless) and related signal-processing, including associated enabling technologies. Read more
This is a challenging one-year taught Master’s degree programme that provides students with a range of advanced topics drawn from communication networks (fixed and wireless) and related signal-processing, including associated enabling technologies. It provides an excellent opportunity to develop the skills needed for careers in some of the most dynamic fields in communication networks.

This programme builds on the internationally recognised research strengths of the Communications Systems and Networks, High Performance Networks and Photonics research groups within the Smart Internet Lab. The groups conduct pioneering research in a number of key areas, including network architectures, cross-layer interaction, high-speed optical communications and advanced wireless access.

There are two taught units related to optical communications: Optical Networks and Data Centre Networks. Optical Networks will focus on Wavelength Division Multiplexed (WDM) networks, Time Division Multiplexed (TDM) networks including SDH/SONET and OTN, optical frequency division multiplexed networks, and optical sub-wavelength switched networks. Data Centre Networks will focus on networks for cloud computing, cloud-based networking, grid-computing and e-science. There is a further networking unit: Networked Systems and Applications, which provides a top-down study of networking system support for distributed applications, from classical web and email to telemetry for the Internet of Things.

The programme is accredited by the Institution of Engineering and Technology until 2018, one of only a handful of accredited programmes in this field in the UK.

Programme structure

Your course will cover the following core subjects:

Semester One (40 credits)
-Communication systems
-Digital filters and spectral analysis
-Mobile communications
-Networking protocol principles

Semester Two (80 credits)
-Data centre networking
-Advanced networks
-Broadband wireless communications
-Networked systems and applications
-Engineering research skills
-Optical communications systems and data networks
-Optical networks

Project (60 credits)
You will carry out a substantial research project, starting during Semester Two and completed during the summer. This may be based at the University or with industrial partners.

Careers

This one-year MSc programme gives you a world-class education in all aspects of current and future communication networks and signal processing. It will prepare you for a diverse range of exciting careers - not only in the communications field, but also in other areas such as management consultancy, project management, finance and government agencies.

Our graduates have gone on to have rewarding careers in some of the leading multinational communications companies, such as Huawei, China Telecom, Toshiba, China Mobile and Intel. Some graduates follow a more research-oriented career path, with a number of students going on to study for PhDs at leading universities.

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The Masters in Subsea Engineering is aimed at engineers who already have some relevant offshore oil and gas experience and high calibre graduates who wish to enhance their employability in the subsea industry. Read more
The Masters in Subsea Engineering is aimed at engineers who already have some relevant offshore oil and gas experience and high calibre graduates who wish to enhance their employability in the subsea industry.

A broad range of topics are covered including well engineering and topside processing facilities as well as the core areas of subsea engineering including: subsea systems, subsea control, pipelines & risers, corrosion and subsea reliability. Current and emerging technologies and their design limitations as applied to deepwater, long tie-back and HP/HT wells are also covered.

This subsea engineering course has been developed and is supported by experienced oil and gas industry professionals using current standards and fundamental engineering practices.

Visit the website https://www.rgu.ac.uk/engineering/engineering-study-options/postgraduate/subsea-engineering

Modules

Each module comprises up to 52 hours of lectures and tutorials. Significant additional private study is expected during each module.

•The Oceans, Operability and Humans in the Ocean
•Wells
•Facilities
•Subsea Systems

Exit Award: PG Cert Subsea Engineering

•Subsea Reliability and Intervention
•Subsea Pipeline and Riser Design
•Materials and Corrosion Science
•Control and Telemetry Systems

Exit Award: PG Dip Subsea Engineering

•Individual Project Report

Award: MSc Subsea Engineering

Placements and accreditation

Course accredited by the Energy Institute

How to apply

To find out how to apply, use the following link: http://www.rgu.ac.uk/applyonline

Funding

For information on funding, including loans, scholarships and Disabled Students Allowance (DSA) please click the following link: http://www.rgu.ac.uk/future-students/finance-and-scholarships/financial-support/uk-students/postgraduate-students/postgraduate-students/

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This MSc teaches advanced analytical and computational skills for success in a data rich world. Read more
This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision.

Degree information

The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research.

Students undertake modules to the value of 180 credits.

The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits). Please note that not all combinations of optional modules will be available due to timetabling restrictions.

Core modules
-Supervised Learning
-Statistical Modelling and Data Analysis
-Graphical Models or Probabilistic and Unsupervised Learning
Plus one of:
-Applied Bayesian Methods
-Statistical Design of Investigations
-Statistical Computing
-Statistical Inference

Optional modules - students select 60 credits from the following list:
-Advanced Topics in Machine Learning
-Affective Computing and Human-Robot Interaction
-Applied Bayesian Methods
-Approximate Inference and Learning in Probabilistic Models
-Computational Modelling for Biomedical Imaging
-Information Retrieval and Data Mining
-Machine Vision
-Selected Topics in Statistics
-Optimisation
-Statistical Design of Investigations
-Statistical Inference
-Statistical Natural Language Programming
-Stochastic Methods in Finance
-Stochastic Methods in Finance 2
-Advanced Topics in Statistics
-Mathematical Programming and Research Methods
-Intelligent Systems in Business

Dissertation/report
All MSc students undertake an independent research project, which culminates in a dissertation of 10,000-12,000 words.

Teaching and learning
The programme is delivered through a combination of lectures, discussions, practical sessions and project work. Student performance is assessed through unseen written examinations, coursework, practical application and the project assessment process.

Careers

There is a strong national and international demand for graduates with skills at the interface of traditional statistics and machine learning. Substantial sectors of UK industry, including leading, large companies already make extensive use of computational statistics and machine learning techniques in the course of their business activities. Globally there are a large number of very successful users of this technology, many located in the UK. Areas in which expertise in statistics and machine learning is in particular demand include; finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, Chicago, as well as at UCL. The MSc is also ideal preparation for a PhD, in statistics, machine learning or a related area.

Top career destinations for this degree:
-Statistical and Algorithm Analyst, Telemetry
-Decision Scientist, Everline
-Computer Vision Researcher, Slyce
-Data Scientist, YouGov
-Research Engineer, DeepMind

Employability
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. There is a considerable shortfall in the number of qualified graduates in this area internationally. CSML graduates have been in high demand for PhD positions across the sciences. In London there are many companies looking to understand their customers better who have hired our CSML graduates. Similarly graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector has also hired several graduates recently.

Why study this degree at UCL?

The Centre for Computational Statistics and Machine Learning (CSML) is a major European Centre for machine learning having coordinated the PASCAL European Network of Excellence.

Coupled with the internationally renowned Gatsby Computational Neuroscience and Machine Learning Unit, and UCL Statistical Science, this MSc programme draws on world-class research and teaching talents. The centre has excellent links with world-leading companies in internet technology, finance and related information areas.

The programme is designed to train students in both the practical and theoretical sides of machine learning. A significant grounding in computational statistics is also provided.

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IN THIS 18-MONTH INTENSIVE PART-TIME PROGRAM YOU WILL GAIN. - Skills and know-how in the latest technologies in instrumentation, process control and industrial automation. Read more
IN THIS 18-MONTH INTENSIVE PART-TIME PROGRAM YOU WILL GAIN:

- Skills and know-how in the latest technologies in instrumentation, process control and industrial automation
- Guidance from industrial automation experts in the field
- Knowledge from the extensive experience of instructors, rather than from the clinical information gained from books and college
- Credibility as the local industrial automation expert in your firm
- Networking contacts in the industry
- Improved career prospects and income
- An Advanced Diploma of Industrial Automation

Next intake starts October 09, 2017. Applications now open; places are limited.

Contact us now to secure your place!

Payment is not required until around 2 to 4 weeks before the start of the program.

The EIT Advanced Diploma of of Industrial Automation is recognized worldwide and has been endorsed by the International Society of Automation (ISA). Please ask us about specific information on accreditation for your location.

OVERVIEW

Gain strong underpinning knowledge and expertise in Industrial Automation covering a wide range of skills ranging from instrumentation, automation and process control, industrial data communications, process plant layout, project and financial management and chemical engineering with a strong practical focus. Industrial Automation is an extremely fast moving area especially compared to the more traditional areas such as electrical and mechanical engineering. The field is diverse and dynamic and offers the opportunity for a well paid and enjoyable career. The aim of the course is to empower you with practical knowledge that will improve your productivity in the area and make you stand out as a leader in industrial automation amongst your peers.

*JOB OUTCOMES, INTERNATIONAL RECOGNITION AND PROFESSIONAL MEMBERSHIP:

A range of global opportunities awaits graduates of the Advanced Diploma of Industrial Automation. Pending full accreditation you may become a full member of Engineers Australia and your qualification will be recognized by Engineers Australia and (through the Dublin Accord) by leading professional associations and societies in Australia, Canada, Ireland, Korea, New Zealand, South Africa, United Kingdom and the United States. The Dublin Accord is an agreement for the international recognition of Engineering Technician qualifications.

For example, current enrolled students can apply for free student membership of Engineers Australia. After graduation, you can apply for membership to become an Engineering Associate, while graduates interested in UK recognition can apply for membership of the Institution of Engineering and Technology (IET) as a Technician Member of the Institution of Engineering and Technology.

This professional recognition greatly improves the global mobility of graduates, and offers you the opportunity of a truly international career.

You will be qualified to find employment as an Engineering Associate in public and private industry including transportation, manufacturing, process, construction, resource, energy and utilities industries. Engineering Associates often work in support of professional engineers or engineering technologists in a team environment. If you prefer to work in the field you may choose to find employment as a site supervisor, senior technician, engineering assistant, or similar.

PROGRAM STRUCTURE

The program is composed of 72 topics within 21 modules. These cover the following seven engineering threads to provide you with maximum practical coverage in the field of industrial automation:

- Instrumentation, Automation and Process Control
- Electrical Engineering
- Electronics
- Industrial Data Communications and Networking
- Mechanical Engineering
- Project Management
- Chemical Engineering

The modules will be completed in the following order:
1. Practical Instrumentation for Automation and Process Control
2. Practical Fundamentals of Chemical Engineering (for Non- Chemical Engineers)
3. Control Valve Sizing, Selection and Maintenance
4. Fundamentals of Process Plant Layout and Piping Design
5. Practical Process Control for Engineers and Technicians
6. Practical Tuning of Industrial Control Loops for Engineers and Technicians
7. Practical Distributed Control Systems (DCS)
8. Practical Programmable Logic Controllers (PLCs) for Automation and Process Control
9. Best Practice in Industrial Data Communications
10. Practical Advanced Process Control for Engineers and Technicians
11. Practical Boiler Control and Instrumentation for Engineers and Technicians
12. Practical Hazardous Areas for Engineers and Technicians
13. Practical Safety Instrumentation and Emergency Shutdown Systems for Process Industries Using IEC 6155 and IEC 61508
14. Practical HAZOPS (Hazard and Operability Studies) for Engineers and Technicians
15. Practical Shielding, EMC/EMI, Noise Reduction, Earthing and Circuit Board Layout of Electronic Systems
16. Practical Wireless Ethernet and TCP/ IP Networking
17. Practical Radio Telemetry Systems for Industry
18. Practical SCADA Systems for Industry
19. Motor Protection, Control and Maintenance Technologies
20. Practical Power Distribution for Engineers and Technicians
21. Practical Project Management for Electrical, Instrumentation and Mechanical Engineers and Technicians

COURSE FEES

EIT provides distance education to students located all around the world – it is one of the very few truly global training institutes. Course fees are paid in a currency that is determined by the student’s location. We aim to give you a rapid response regarding course fees that are relevant to your individual circumstances.

We understand that cost is a major consideration before a student begins to study. For a rapid reply to your query regarding course fees and payment options, please contact a Course Advisor in your region via the below button and we will respond within two (2) business days.

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The master’s program in Exercise Science offers preparation for career opportunities in corporate, community, and private fitness sectors, as well as clinical exercise physiology, strength and conditioning, and doctoral programs. Read more
The master’s program in Exercise Science offers preparation for career opportunities in corporate, community, and private fitness sectors, as well as clinical exercise physiology, strength and conditioning, and doctoral programs. Thesis and non-thesis tracks are available for students. The Exercise Science Lab contains state-of-the-art equipment to facilitate both student and faculty research, including a DEXA, metabolic carts, an EKG system, land and underwater treadmills, leg and arm ergometers, a hydrostatic weighing tank, bioelectrical impedance, a lactate and cholesterol analyzer, and a telemetry EMG system.

Career

Graduates gain expertise to advance in positions in fitness and wellness, cardiac rehabilitation, strength and conditioning, corporate fitness, and research. The degree also helps prepare candidates to gain certifications through the American College of Sports Medicine and the National Strength and Conditioning Association and to enter a doctoral degree program in Exercise Science. Graduates can also continue their education in other health care professions. Potential occupations include, but are not limited to:

Bariatric exercise specialist
Cardiac rehabilitation specialist
Diabetes educator
Educator/professor
Employee fitness director
Exercise physiologist
Fitness center/gym owner or manager
Health coach
Occupational therapist
Oncology exercise rehabilitation specialist
Personal trainer
Physical therapist
Pulmonary rehabilitation specialist
Researcher
Strength and conditioning specialist
Wellness coach

Employers of MTSU Exercise Science M.S. alumni include:

Acuff & Associates, Inc.
Bowling Green University
Brooklyn Nets
Cross-fit Rampage
Cumberland University
DaVita Renal Dialysis
Journeys In Community Living
Middle Tennessee State University
National Federation of the Blind
North Carolina State University
OnLife Health
Orthotics Manufacturing Co., Chicago, Ill.
Physiotherapy Associates
Southern Tennessee Medical Center
Steadman Orthopedic Group
Tennessee State Governor’s Foundation for Health and Wellness
Tri-Fit Athletics
University of California-Santa Clara
University of Tennessee-Martin
U.S. Army
Vanderbilt Heart and Vascular Institute
Vanderbilt Orthopedic Institute Fitness Center
Well Fit Medicine and Nutrition
Williamson Medical Center/Cardiac Rehabilitation
YMCA

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