This degree provides in-depth training for students interested in a career in industry or in research-oriented institutions focused on image and video analysis, and deep learning.
State-of-the-art computer-vision and machine-learning approaches for image and video analysis are covered in the course, as well as low-level image processing methods.
Students also have the chance to substantially expand their programming skills through projects they undertake.
Read about the experience of a previous student on this course, Gianmarco Addari.
This programme is studied full-time over 12 months and part-time from 24 to 60 months. It consists of eight taught modules and a standard project.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
This programme in Computer Vision, Robotics and Machine Learning aims to provide a high-quality advanced training in aspects of computer vision for extracting information from image and video content or enhancing its visual quality using machine learning codes.
Computer vision technology uses sophisticated signal processing and data analysis methods to support access to visual information, whether it is for business, security, personal use or entertainment.
The core modules cover the fundamentals of how to represent image and video information digitally, including processing, filtering and feature extraction techniques.
An important aspect of the programme is the software implementation of such processes. Students will be able to tailor their learning experience through selection of elective modules to suit their career aspirations.
Key to the programme is cross-linking between core methods and systems for image and video analysis applications. The programme has strong links to current research in the Department of Electronic Engineering’s Centre for Vision, Speech and Signal Processing.
To support your learning, we hold regular MSc group meetings where any aspect of the programme, technical or non-technical, can be discussed in an informal atmosphere. This allows you to raise any problems that you would like to have addressed and encourages peer-based learning and general group discussion.
We provide computing support with any specialised software required during the programme, for example, Matlab. The Faculty’s student common room is also covered by the University’s open-access wireless network, which makes it a very popular location for individual and group work using laptops and mobile devices.
Specialist experimental and research facilities, for computationally demanding projects or those requiring specialist equipment, are provided by the Centre for Vision, Speech and Signal Processing (CVSSP).
Computer vision specialists are be valuable in all industries that require intelligent processing and interpretation of image and video. This includes industries in directly related fields such as:
Studying for Msc degree in Computer Vision offers variety, challenge and stimulation. It is not just the introduction to a rewarding career, but also offers an intellectually demanding and exciting opportunity to break through boundaries in research.
Many of the most remarkable advancements in the past 60 years have only been possible through the curiosity and ingenuity of engineers. Our graduates have a consistently strong record of gaining employment with leading companies.
Employers value the skills and experience that enable our graduates to make a positive contribution in their jobs from day one.
We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.
We often give our students the opportunity to acquire international experience during their degrees by taking advantage of our exchange agreements with overseas universities.
In addition to the hugely enjoyable and satisfying experience, time spent abroad adds a distinctive element to your CV.
The course aims to foster advanced knowledge in clinical issues for optometrists, with an emphasis on how research informs practice and the evolution of eye care services and capabilities. The programme recognises and incorporates Professional Certificates from the College of Optometrists. Modules have been designed with contributions from guest experts from ophthalmology, clinicians from hospital settings and other specialists. A number of CET points are available for optometrists undertaking these modules.
This course is delivered by distance learning, on a part-time basis, so is designed for working optometrists to fit their learning around their other commitments.
Graduates of this course will be equipped with skills to undertake extended clinical roles, promote the development of eye care within their region. They will develop critical thinking skills to evaluate and undertake research, and may go on to further research endeavours including doctoral research training.
Ulster University is experienced in delivering courses through distance learning and has bespoke support and online delivery of teaching through the virtual learning environment, BlackBoard Learn. Distance learning offers the student the advantage of learning at their pace and preferred time, and teaching materials have been specifically developed with the distance learner in mind, ensuring access is simple and comprehensive. Support for distance learning students is at hand daily from online tutors and the e-Learning Support Unit at Ulster.
The MSc course is designed and structured so you will have the opportunity to choose a particular area of study that interests you, building from a series of Professional certificates and then going on to study ophthalmic public health and advanced retinal imaging or choosing to undertake the Theory of Independent prescribing for optometrists The skills of self-motivation, independent learning, problem solving and developing and communicating scientific arguments are encouraged and developed through a programme which emphasizes critical thinking and discussion of issues through online media.
Students may not wish to undertake the whole MSc (180 credits), and there are options to undertake a Postgraduate Certificate (PgCERT), which amounts to 60 credits, or a Postgraduate Diploma (PgDIP), at 120 credits.
For those completing the MSc programme, a research project will be undertaken by the student in an area of their choosing with support and guidance from an academic supervisor. In addition, another member of staff will coordinate this module and provide generic support. This project will be a significant and novel piece of research.
This is a distance learning course and students access learning material via a virtual learning environment. 'elearning' is an excellent route for postgraduate learning as it gives unique flexibility and ownership of how and when you learn. It is a different experience from traditional face to face learning and is especially suited to adults who like to learn independently and are self-motivated. This course has been specifically designed with the elearner in mind, so learning material is appropriately displayed and students are encouraged to participate in discussion boards, and to contribute to online chats and are given regular small tasks to complete so learning is broken down into manageable segments.
Graduates will gain a Master's in Advanced Clinical Optometry from a UK university designed to enhance their academic and professional development. Graduates may use skills obtained to effectively promote and develop eye care in their area, and take part in enhanced eye care services. Graduates will gain valuable experience of undertaking research activities and producing high quality scientific reports. These skills will support the graduates who wish to develop their research careers.
In recent years the number of companies that decided to invest in protecting against cyber attacks has increased by 33%. A recent report by the European Union plans to create almost 1 million jobs related to cybersecurity 2020. And in 2015 cybersecurity has been identified at the World Economic Forum as one of the major risks in the world economy.
Therefore, given the growing demand for skilled professionals, IMF Business School, Deloitte and the University Camilo Jose Cela, have developed this Master in Cybersecurity, who manages to accommodate the needs of stakeholders, opting for an online high-level training with the ease of do it from anywhere. It is the only fully online master market 60 ECTS and supported by a University Moreover, the best students will be selected by Deloitte to perform CyberSOC internship at Deloitte, with high rates of joining Deloitte after completion.
This Master enables you to:
Get a comprehensive and thorough knowledge in disciplines such as Cyber Intelligence, malware analysis, technical audits of systems and networks (ethical hacking), forensic analysis and management of security incidents, secure web application development and monitoring and correlation of security events (SIEM through technologies).
MFI offers a flexible methodology adapted to your needs, whatever your geographical location or time availability. This master can be studied under:
All contents are fully updated and have great technical, easily understandable and with a clear practical vocation rigor. In addition, IMF offers you:
Continuous assessment as advances in the study of the Master.
Each module will be assessed by combining online and development of case examination; overcoming will free each subject.
Likewise, obtaining the titles of Master of IMF and Masters from the University Camilo Jose Cela, subject to overcoming the trials of each module (continuous assessment) without final examination, and conducting a Final Project Master.
According to a recent report by the European Union, it is expected to create one million jobs in the area Cybersecurity 2020.
At the end of our master you will be ready to serve as:
Guaranteed internships in companies
IMF Business School, through its website and Employment Practices ensures students of the Masters in Cybersecurity, practices in companies. Query conditions.
Human Resource Management is currently one of the fastest-growing management fields. Organizations are increasingly recognizing the strategic role of human capital for achieving significant business results, sustainable growth and innovation. Our vision is to develop managers with a sharp insight on people issues who will act as agents of transformation and as strategic investors in their organizations’ human capital. HR professionals can make a critical contribution to the process of business value creation. If you share this vision and aspire to play such a role in your organization, our program can help you reach your goals.
The MSc in Strategic HRM Is Designed for:
Investment in Human Capital pays off:
Key features of the program
Upon the completion of the Programme students will be able to:
We worked with industry professionals to develop an MSc Applied Instrument and Control programme that is accredited by the Institute of Measurement and Control (InstMC). It covers both the latest developments in the field and the industry knowledge we've gained through years of experience.
You'll acquire a specialised skillset and expertise that's highly desirable to employers, making you a competitive candidate for rewarding careers in many industries, with oil and gas pathways available. The programme draws on relevant case studies with real-world implications, so you'll gain practical knowledge that you can apply on the job from day one.
The programme also fulfils the Engineering Council's further learning requirements for registration as a Chartered Engineer.
At GCU, you'll find a welcoming community of people like yourself - hardworking, career-focused individuals with the vision and discipline to pursue meaningful work. We'll help you develop the tools to be successful, in your career and in your life.
We hope you'll use those tools to make a positive impact on your community and contribute to the common good through everything you do.
The curriculum has been developed in consultation with industry and can be broadly grouped in three areas: the introduction of new facts and concepts in measurement and control; the application of facts and concepts to real measurement problems and systems; and subjects which are of general importance to the professional engineer, for example safety and safety management and management ethics and project planning.
Students complete eight taught modules - four in trimester A and four in trimester B; and a Masters project in trimester C.The MSc project will be carried out at the student's workplace; this can be in an area relevant to the company's production/maintenance function, thus providing maximum benefit to both the company and the individual.
Consolidates advanced classical and modern control design techniques emphasising the practical considerations in applying control design in an industrial environment. The appropriateness and difficulties encountered in applying various design techniques in practice will be explored. In particular system sensitivity, robustness and nonlinearity will be studied.
Data Acquisition and Analysis
Develops the ability to evaluate, in a given situation, the most appropriate strategy for acquiring data and understand the merits of this strategy with respect to other approaches. A range of modern time and frequency domain analysis techniques will also be discussed.
Industrial Case Studies
Following on from the foundation in measurement and instrumentation provided by the Measurement Theory and Devices module, students will now be equipped to study in depth instrumentation in industrial processes. This module will cover aspects of designing sensor systems for industrial measurements, instrument control, system troubleshooting and optimisation in industrial applications.
Develops the ability to evaluate, in a given situation, the most appropriate strategy for acquiring and transmitting data and understand the merits of this strategy with respect to other approaches. A wide range of different instrument communication and networking techniques will be studied. In addition the module provides practical experience of hardware setup and software development, relating to these techniques.
Industrial Process Systems
Identification and system modelling from real data play an important role in this module. This approach thus leads to more complex and realistic models that can be used to design more robust and reliable controllers that take into account problematic physical effects such as time-delays and sensor noise. The module will cover more advanced aspects of control design such as feed forward and multivariable control.
A range of advanced measurement systems will be studied in depth. Sensors, signal processing, low-level signal measurements, noise-reduction methods and appropriate measurement strategies will be applied to industrial and environmental applications. The influence of environmental factors and operation conditions will be considered in relation to the optimisation of the measurement system.
Measurement Theory and Devices
Adopts a generalised approach to measurement theory and devices, allowing students to become familiar with the characteristics of measurement systems in terms of the underlying principles. In this way, the students will be able to develop a systems approach to problem solving. They should find this methodology to be a considerable benefit to them when they have to apply their expertise to solving more complex industrial measurement problems.
Develops the students' ability to select, develop and plan an MSc research project, to research and critically analyse the literature associated with the project and to present research findings effectively, it will also provide students with the ability to apply a competent process of thinking to project planning and give them a critical understanding of safe and ethical working.
The programme is accredited by the Institute of Measurement and Control (InstMC) as meeting the Engineering Council’s further learning requirements for registration as a Chartered Engineer.
The MSc Applied Instrumentation and Control offers graduates a highly focused skillset that's valuable to an extremely wide range of industries - any business that benefits from the measurement of process variables and environmental factors. For instance, chemicals, pharmaceuticals, optics and optoelectronics, medical instrumentation and more.
Across these industries, you might focus on computer-controlled instrumentation systems, process instrumentation, technical management and sales, process control and automation, sensor development and manufacturing, instrument networking, industrial development or test and measurement systems.
You might also pursue a career with a company that designs and manufactures measurement systems.