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Masters Degrees (Computer Engineering)

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The master of science degree in computer engineering provides students with a high level of specialized knowledge in computer engineering, strengthening… Read more

Program overview

The master of science degree in computer engineering provides students with a high level of specialized knowledge in computer engineering, strengthening their ability to successfully formulate solutions to current technical problems, and offers a significant independent learning experience in preparation for further graduate study or for continuing professional development at the leading edge of the discipline. The program accommodates applicants with undergraduate degrees in computer engineering or related programs such as electrical engineering or computer science. (Some additional bridge courses may be required for applicants from undergraduate degrees outside of computer engineering).

Plan of study

The degree requires 30 semester credit hours and includes Analytical Topics in Computer Engineering (CMPE-610), two core courses, four graduate electives, two semesters of graduate seminar, and the option of completing either a thesis research or a graduate project. The core courses and graduate electives provide breadth and depth of knowledge. The Computer Engineering Graduate Seminar (CMPE-795) provides students with exposure to a variety of topics presented by researchers from within RIT, industry, and other universities, and guides students to choose either a thesis or project as their culminating experience. The Project/Thesis Initiation Seminar (CMPE-796) guides students to complete their thesis proposal or project execution plan with their faculty adviser.

Students who pursue the thesis option complete nine semester credit hours of thesis research (CMPE-790) to conduct research with a faculty adviser to answer a fundamental science/engineering question that contributes to new knowledge in the field. Students are expected to formulate the problem under the faculty adviser's guidance and conduct extensive quantitative or qualitative analyses with sound methodology. Research findings should be repeatable and generalizable, with sufficient quality to make them publishable in technical conferences and/or journals. Students who pursue the project option take six semester credits of graduate electives directly related to their project deliverables and three semester credits of Graduate Project (CMPE-792) to professionally execute a project under the supervision of a faculty adviser. The project generally addresses an immediate and practical problem, a scholarly undertaking that can have tangible outcomes, where students are expected to give a presentation or demonstration of the final deliverables of the project.

Research tracks/Graduate electives

Students may select four graduate electives from within the following research tracks. Students are encouraged to choose most of their graduate electives within a single research track. At least two of the electives must be from the computer engineering department (computer engineering department courses begin with the prefix CMPE). Courses outside the lists below may be considered with approval from the department of computer engineering. Research tracks are available in the following areas (see website for research track details):
-Computer architecture
-Computer vision and machine intelligence
-Integrated circuits and systems
-Networks and security
-Signal processing, control and embedded systems
-Additional graduate-level math courses

Curriculum

Thesis and project options differ in course sequence, see website for a particular option's module information.

Other admission requirements

-Submit official transcripts (in English) from all previously completed undergraduate and graduate course work.
-Have an GPA of 3.0 or higher.
-Submit scores from the Graduate Record Exam (GRE).
-Submit two letters of reference from individuals well qualified to judge the candidate's ability for graduate study, and complete a graduate application.
-International applicants whose native language is not English must submit scores from the Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS).

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UA’s Department of Electrical and Computer Engineering offers dynamic programs for students interested in a traditional electrical engineering degree or those who desire a specialization in computer engineering. Read more
UA’s Department of Electrical and Computer Engineering offers dynamic programs for students interested in a traditional electrical engineering degree or those who desire a specialization in computer engineering.

MISSION

UA’s Department of Electrical and Computer Engineering will

- provide high-quality and broad-based undergraduate and graduate education in electrical and computer engineering
- conduct high-quality research programs that will advance the state of knowledge
- contribute to the engineering profession and to society through service activities

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

Master of Science–Thesis Option (PLAN I):

30 Credit Hours
A minimum of 24 credit hours of coursework is required. Constraints on these 24 hours shall include:
- A minimum of 12 hours of closely related Electrical and Computer Engineering (ECE) designated courses in the student’s area of concentration, as defined by the advisory committee.

- A minimum of 9 hours of courses in an elective area approved by the advisory committee.

- A minimum of 3 hours of Mathematics (MATH or GES) or Science (Physics, Chemistry, or Biology) courses at the 500 level or above.

- No more than 6 hours may be from courses at the 400 level. In order to receive degree credit, 400-level courses require written application and approval by the Graduate School (http://graduate.ua.edu/) prior to the semester in which any 400-level course is to be takentaken.

A minimum of 6 hours of thesis research (ECE 599) is required.

A student’s curriculum and thesis must be approved by the student’s graduate advisory committee. The student must pass a final comprehensive examination, which is typically a presentation and defense of the thesis. In addition, the student must satisfy all University requirements defined in the current edition of The University of Alabama Graduate Catalog (http://graduate.ua.edu/catalog/index.html).

[[Master of Science–Non-Thesis Option (PLAN II):]
30 Credit Hours
A minimum of 30 credit hours of coursework is required. Constraints on these 30 hours shall include:
- A minimum of 15 hours of closely related Electrical and Computer Engineering (ECE) designated courses in the student’s area of concentration, as defined by the advisory committee.

- A minimum of 12 hours of courses in an elective area approved by the advisory committee.

- A minimum of 3 hours of Mathematics (MATH or GES) or Science (Physics, Chemistry, or Biology) courses at the 500 level or above.

- No more than six (6) hours may be courses at the 400 level. In order to receive degree credit, 400-level courses require written application and approval by the Graduate School prior to the semester in which any 400-level course is to be taken taken.

A student’s curriculum must be approved by the student’s graduate advisory committee. The graduate advisory committee must also approve the submission of a manuscript, authored or co-authored by the candidate, to a refereed journal or conference proceeding. This publication submission shall constitute The University of Alabama Graduate School culminating experience requirement for an MS Plan II degree in electrical and computer engineering.

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

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This MSc provides advanced training and enhances your skills in the specialised area of electronics, communications and computer engineering. Read more

About the course

This MSc provides advanced training and enhances your skills in the specialised area of electronics, communications and computer engineering.

The course aims to provide you with a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The programme provides an excellent basis for engineers wishing to update their knowledge, students who wish to embark a career in advance research and development, or for students wishing to enhance their training and qualifications.

Key facts

Particular features of the programme include:

- Incorporating 6 months industrial internship as part of the curriculum
- Teaching informed by active leading-edge researchers in the field
- Innovative and engaging teaching methods
- One-to-one project consultation with expert members of staff
- Access to many online resources and flexibility in course content. This is a highly flexible course, which gives you the opportunity to - Choose modules according to your specific interests and requirements.

Course content and structure

After completing the taught components of the course, you will undertake an industrial internship placement with the major industry players in the field of electronics, communications and computer engineering. Subsequently, with knowledge/skills gained through industrial internship period, you will proceed with highly industry-oriented research project supervised by our expert members of faculty staffs.

This course operates on a modular basis and consists of a series of taught modules (worth 120 credits), followed by 6 months of non-credit bearing industrial internship. During the industrial internship, you will explore your interest in a specific research topic/project dissertation which will be beginning right after your industrial placement. The project dissertation will be 60-credit worth, and will begin in the following spring period.

You will be taught using the latest advances in teaching methods and electronic resources, as well as small-group and individual tutorial.

Tutors provide feedback on assignments. Our objective is to help you develop the confidence to work as a professional academic, at ease with the conventions of the discipline, and ready to tackle any area of research in electronic communications and computer engineering.

Modules offered:

Instrumentation and Measurement
Engineering Ultrasonics
Optical Communications and Networks
HDL for Programmable Logic
Applied Computational Engineering
Integrated Photonics: Design and Technology
Control Systems Design
Electronic Design
Solid State Devices
Digital Communications
Power Electronic Design
Embedded Computing
Digital Signal Processing for Telecommunication Multimedia and Instrumentation
RF Microelectronics
Mobile Communications
VLSI Design
Telecommunication Electronics
Web Based Computing
Optical Communications
Applied Computational Engineering

Internship programme​

The internships are with IC design, solid-state electronics, automotive electronics or semiconductor industries that are mainly located in Ningbo/Shanghai. Our partners are either international or locally-bred, such as Ningbo Advanced Memory Technology Corporation, Atmel, Sondrel, AMD and Bosch. We may expand our internship programme in Hong Kong, South Korea, etc in the future.

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The URV-UOC online Master's Degree in Computer Engineering and Mathematics (ECiM) offers interdisciplinary training in the areas of engineering and applied sciences. Read more
The URV-UOC online Master's Degree in Computer Engineering and Mathematics (ECiM) offers interdisciplinary training in the areas of engineering and applied sciences. The ECiM programme includes cutting-edge topics such as computer modelling and simulation, numerical methods, parallel and distributed computing, knowledge representation, networks and graphs, and applied optimisation. The aim of the degree is to prepare students for R&D positions in industry, research centres and universities. It is intended for graduates with various scientific and technical qualifications (computer engineering, mathematics, telecommunications engineering, industrial engineering, statistics, physics, etc.).

Students must complete a total of 60 ECTS credits, distributed as follows: 17 for compulsory subjects, 25 for optional subjects and 18 for the master's thesis. The ECiM is designed to be completed in one year (full-time students) or two years (part-time students). As the programme’s lecturers are active researchers in the fields they teach, they can help students to initiate research careers in computer engineering and mathematics.

Student Profile

This Master's Degree is aimed at candidates who previously obtained:
-Bachelor's degrees in Mathematics, Statistics, Physics and related fields.
-Bachelor's Degree in Computer Science, Telecommunications, Electronics, Industrial, Electrical, Mechanical, Aeronautical and related fields.

Career Opportunities

Gracuates in Inter-university Master's Degree in Computer Engineering and Mathematics are capable of working in:
-Research and development centres
-Companies working in the information and communication technologies
-Computing centres
-Universities

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MSc. This MSc provides advanced training in Electronics, Communications and Computer Engineering. Read more
MSc:

This MSc provides advanced training in Electronics, Communications and Computer Engineering. It will give students a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The course provides an excellent basis for engineers wishing to update their knowledge, students who wish to go on to do research, or for first degree students wishing to enhance their training.

Students will develop:
the design, analytical and critical powers in relation to hardware and software aspects of complex electronic systems
the ability to plan and undertake an individual project
interpersonal, communication and professional skills
the ability to communicate ideas effectively in written reports
decision making powers in relation to the specification and solution of embedded system design, system-on-chip (SoC) and electronic engineering problems for appropriate
electronic systems and computer systems

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:
FPGA implementation of the optimized SIFT Algorithm for an image matcher
Zigbee-Based generic wireless data acquisition systems
Digital pulse position modulation for free space optical communication

Please see the school web pages for further details of the PG Dip course.

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

PGDip:

This Postgraduate Diploma provides advanced training in electronics, communications and computer engineering.

The course aims to provide you with a comprehensive coverage of the skills required by an engineer working in instrumentation, electronic systems, wireless and wired telecommunications, computer hardware, and software aspects of computer engineering.

The programme provides an excellent basis for engineers wishing to update their knowledge, or for first degree students wishing to enhance their training.

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The graduate programs in Electrical and Computer Engineering are designed to prepare students for a broad range of careers by providing a foundation of study in several technical areas. Read more
The graduate programs in Electrical and Computer Engineering are designed to prepare students for a broad range of careers by providing a foundation of study in several technical areas. Your course of study will be individualized to suit your interests, with intensive training in numerous specializations, such as all aspects of computer engineering, control systems, signal processing and communications, information assurance, VLSI, microelectronics, electro-optics, and power/energy.

The Master's of Science (MS) degree program prepares students for development-oriented engineering careers and/or continuation onto doctoral studies by providing a balance of advanced theory and practical engineering knowledge. The typical time for completion of the MS is 18–24 months of full-time study.

Applicant Qualifications

- Undergraduate major in electrical engineering, computer engineering or related field
- Previous coursework experience in each of the following (or equivalent) areas:
*Calculus through differential equations
*Computer programming
*Electrical circuits
*Electronics
*Digital design logic
*Laboratory experience

- Qualified applicants with non-ECE backgrounds may be extended an offer of conditional admission which will last until they fulfill the department's requirements for regular admission (generally, completion of specific undergraduate courses)
- Minimum GRE quantitative scores of 700 (old scale; 155 new scale); (750 old scale preferred; 169 new scale). GRE scores not required for graduates of ABET-accredited engineering programs
- Minimum TOEFL score of 80 (internet-based exam) for students whose native language is not English. A minimum score of 100 is desirable for students seeking teaching assistantships

All applicants must submit the following:

- Online graduate degree application and application fee
- Transcripts from each college/university at which you earned a degree
- Two letters of recommendation (except PhD applicants, as described above)
- Personal statement (2-3 pages) describing your reasons for pursuing graduate study, your career aspirations, your special interests within your field, and any unusual features of your background that might need explanation or be of interest to your program's admissions committee.
- Resume or Curriculum Vitae (max. 2 pages)
- Official GRE scores

And, for international applicants:
- International Student Financial Statement form
- Official bank statement/proof of support
- Official TOEFL, IELTS, or PTE Academic scores

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Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Read more
Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Computer engineering encompasses the principles, methods, and modern tools for the design and implementation of computing systems.

Our MSc Computer Engineering is the first in the UK and provides a balanced perspective of both hardware and software elements of computing systems, and their relative design trade-offs and applications. It will build on your knowledge in mathematics, science, and engineering to ensure you have a sound foundation in the areas needed for a career in this field.

Laboratory experiences enable you to understand experimental design and simulation techniques. We are internationally leading in this and you will have access to unique computer engineering platforms including our:
-Intelligent Flat (iSpace)
-Robotics Arena
-Networked intelligent campus (iCampus)
-Advanced networking and multimedia labs

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

This course is also available on a part-time basis.

Professional accreditation

This degree is accredited by the Institution of Engineering and Technology (IET).This accreditation is increasingly sought by employers, and provides the first stage towards eventual professional registration as a Chartered Engineer (CEng).

Our expert staff

Our research covers a range of topics, from materials science and semiconductor device physics, to the theory of computation and the philosophy of computer science, with most of our research groups based around laboratories offering world-class facilities.

Our impressive external research funding stands at over £4 million and we participate in a number of EU initiatives and undertake projects under contract to many outside bodies, including government and industrial organisations.

In recent years we have attracted many highly active research staff and we are conducting world-leading research in areas such as evolutionary computation, brain-computer interfacing, intelligent inhabited environments and financial forecasting.

Specialist facilities

We are one of the largest and best resourced computer science and electronic engineering schools in the UK. Our work is supported by extensive networked computer facilities and software aids, together with a wide range of test and instrumentation equipment.
-We have six laboratories that are exclusively for computer science and electronic engineering students. Three are open 24/7, and you have free access to the labs except when there is a scheduled practical class in progress
-All computers run either Windows 7 or are dual boot with Linux
-Software includes Java, Prolog, C++, Perl, Mysql, Matlab, DB2, Microsoft Office, Visual Studio, and Project
-Students have access to CAD tools and simulators for chip design (Xilinx) and computer networks (OPNET)
-We also have specialist facilities for research into areas including non-invasive brain-computer interfaces, intelligent environments, robotics, optoelectronics, video, RF and MW, printed circuit milling, and semiconductors

Your future

Upon graduation, you can look for employment in:
-Heavy industries, designing advanced computer systems and control
-Hardware companies, designing and developing microprocessors, personal computers, and supercomputers
-Communication and mobile phone companies, designing advanced computer systems for communications systems
-Large computer and microelectronics companies, writing software and firmware for embedded microcontrollers, and designing VLSI chips, analog sensors, mixed signal circuit boards, and operating systems
-Embedded system companies, developing advanced computer systems, and mobile applications and phones
-Banks and businesses, designing intelligent distributed systems to serve their operations
-Computer games companies, designing advanced computer games
-Our recent graduates have progressed to a variety of senior positions in industry and academia.

Some of the companies and organisations where our former graduates are now employed include Electronic Data Systems, Pfizer Pharmaceuticals, Bank of Mexico, Visa International, Hyperknowledge (Cambridge), Hellenic Air Force, ICSS (Beijing), United Microelectronic Corporation (Taiwan) and within our University.

We also work with the university’s Employability and Careers Centre to help you find out about further work experience, internships, placements, and voluntary opportunities.

Example structure

-MSc Project and Dissertation
-Converged Networks and Services
-Digital Signal Processing
-High Level Logic Design
-Professional Practice and Research Methodology
-Programming Embedded Systems
-Advanced Embedded Systems Design (optional)
-Artificial Neural Networks (optional)
-Constraint Satisfaction for Decision Making (optional)
-Creating and Growing a New Business Venture (optional)
-Electronic System Design & Integration (optional)
-Intelligent Systems and Robotics (optional)
-Mobile Communications (optional)

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Develop a different set of skills with this new one year conversion masters course. Read more
Develop a different set of skills with this new one year conversion masters course.

Are you a keen problem-solver looking to learn new skills that can change and influence processes? Southampton Solent’s computer engineering master’s conversion degree is well-suited to students from a wide range of non-computing backgrounds, helping you to learn new skills and develop advanced theoretical and practical proficiencies to prepare for a career in the IT and computing industries.

‌•The course offers students the opportunity to build web and mobile applications.
‌•Students have access to a range of state-of-the-art labs and facilities including computing and networking laboratories.
‌•To complement their studies, students have the opportunity to take part in enhancement activities, such as industry talks, code jams, employability support, and the chance to work on live projects.
‌•Southampton Solent hosts regular British Computer Society (BCS) professional development events.
‌•Small group teaching allows for tailored support, helping students to shape the course to their own interests.
‌•The course comes to a close with students conducting their own research projects. This can be an excellent way to specialise knowledge towards desired careers, or act as a springboard for PhD study.

The industry

The UK’s IT industry is worth over £58 billion annually. With employment of IT professionals expected to grow nearly twice as fast as the UK average between now and 2020 (e-skills UK), it looks like demand for well-qualified information technology graduates is set to remain strong.

A postgraduate qualification can put you at the forefront of this demand, demonstrating your commitment to the industry and your ability to carry out in-depth computing research.
Currently there is very high demand for those with technical skills in a wide range of areas with most demand in software development, SQL databases, web scripting and Agile development. Along with this demand, careers in these areas often carry higher than average salaries.

This is echoed in reports and comments from industry:

“As a small software house, dealing with a group of international corporates, we have a regular need for graduates with strong software engineering and database skills. Given that we design systems that link to e-commerce, a good understanding of cyber security engineering is also key. Over the years we have found the pool of graduates with the required technical skills has seriously diminished, so the more technical graduates from Solent University are an important source for us.”
John Noden, Managing Director/Executive Director Technical Design, Zentive

In addition, the CBI (2015) have indicated that the skills gaps in science, technology, engineering and maths (STEM) is affecting employers and have indicated that STEM-qualified graduates are at a real advantage in the jobs market, with four out of ten employers preferring STEM graduates over other graduates.

The programme

Southampton Solent University’s computer engineering master’s conversion degree exposes students to a wide range of both existing and emerging technologies and covers areas such as coding, software development, problem solving, computing, digital and engineering.

Working with the latest technology, students on this course will also have the opportunity to learn to program robotic devices, and can learn to develop apps for Android devices. To test these apps, students have access to the University’s new device laboratory which is a special test area consisting of a range of mobile devices, allowing students to assess their website designs and apps on real equipment.

The course curriculum is developed with input from a variety of sources, including an industrial liaison panel, to ensure students are studying the latest technology and working practices employed by industry experts.

With a strong focus on employability, and to complement studies, this course offers students the opportunity to work on live briefs, events and projects with real-world companies. Regular industry speakers and events by the BCS can help students to build their professional network.

To aid study, computing students at Southampton Solent have full access to the University’s industry-standard IT, computing and networking laboratories. These labs are set up with the latest design and development software, including Adobe Creative Cloud and GNS3. Real-world networking equipment is provided by Cisco, Fluke and HP, as well as high-fidelity simulation systems, including the market-leading Opnet.

Next steps

Think a career in computing is for you? Southampton Solent’s computer engineering master’s conversion degree will help you build on your existing knowledge and develop high-level technical and project management skills to take the next step in your career. Apply today http://www.solent.ac.uk/courses/2016/postgraduate/computer-engineering-msc/course-details.aspx#tab5

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Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Read more
Advances in technology are yielding smaller and higher-performance computer systems permeating into a wide range of applications, from communication systems to consumer products and common household appliances. Computer engineering encompasses the principles, methods, and modern tools for the design and implementation of computing systems.

Our MSc Computer Engineering is the first in the UK and provides a balanced perspective of both hardware and software elements of computing systems, and their relative design trade-offs and applications. It will build on your knowledge in mathematics, science, and engineering to ensure you have a sound foundation in the areas needed for a career in this field.

Laboratory experiences enable you to understand experimental design and simulation techniques. We are internationally leading in this and you will have access to unique computer engineering platforms including our:

- Intelligent Flat (iSpace)
- Robotics Arena
- Networked intelligent campus (iCampus)
- Advanced networking and multimedia labs

Our School is a community of scholars leading the way in technological research and development. Today’s computer scientists are creative people who are focused and committed, yet restless and experimental. We are home to many of the world’s top scientists, and our work is driven by creativity and imagination as well as technical excellence.

We are ranked Top 10 in the UK in the 2015 Academic Ranking of World Universities, with more than two-thirds of our research rated ‘world-leading’ or ‘internationally excellent (REF 2014).

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The Masters of Engineering (M.Eng.) program is suited to students who wish to pursue their electrical and computer engineering education beyond the undergraduate level but do not wish to pursue a thesis based research program. Read more
The Masters of Engineering (M.Eng.) program is suited to students who wish to pursue their electrical and computer engineering education beyond the undergraduate level but do not wish to pursue a thesis based research program. The program requires students to complete 30 credits of course work with the option of completing a supervised project.

The typical completion time for the M.Eng. is 12-16 months, if pursued on a full-time basis. M.Eng. degree candidates registered as full-time students are required to spend at least one winter session at the University. Candidates can also complete the M.Eng. on a part-time basis. In either case the program must be completed within 5 years of initial registration. Course selection must also be approved by their Graduate Supervisor.

A M.Eng. candidate may write an engineering report based on an appropriate engineering project in the candidate's chosen area of specialization, in lieu of 6 credits of course work. The subject of the report should be agreed upon between the candidate and the Graduate Supervisor.

The M.Eng. program is administered by the Faculty of Applied Science, rather than the Faculty of Graduate Studies. Financial aid is generally not available to M.Eng. students and tuition fees are higher than for the M.A.Sc.

Quick Facts

- Degree: Master of Engineering
- Specialization: Electrical and Computer Engineering
- Subject: Engineering
- Mode of delivery: On campus
- Program components: Coursework only
- Faculty: Faculty of Applied Science

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Robotics and Computer Engineering is a 2-year Master’s programme that trains highly qualified roboticists, computer and space engineers. Read more
Robotics and Computer Engineering is a 2-year Master’s programme that trains highly qualified roboticists, computer and space engineers. The programme provides broad knowledge in the field of robotics, computer engineering or space technology. Graduates can work in enterprises or research and development centres connected to their field of study.

The curriculum of the study programme includes:

Basic module (24 ECTS)

Show Seminar module (12 ECTS)

Specialisation module (24 ECTS)

Narrow Field module

Optional subjects (6 ECTS)

Master's thesis (30 ECTS)

Technical Graphics II (3 ECTS)

19/20 admitted students will receive a tuition-waiver scholarship.

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Please visit http://www.ece.ubc.ca/admissions/graduate/apply. - Degree. Master of Applied Science. - Specialization. Electrical and Computer Engineering. Read more
Please visit http://www.ece.ubc.ca/admissions/graduate/apply

Quick Facts

- Degree: Master of Applied Science
- Specialization: Electrical and Computer Engineering
- Subject: Engineering
- Mode of delivery: On campus
- Program components: Coursework + Thesis required
- Faculty: Faculty of Applied Science

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You will cover subject specific subjects such as Digital Signal Processing and Artificial Intelligence alongside cohort taught subjects to develop their management skills and their employability. Read more
You will cover subject specific subjects such as Digital Signal Processing and Artificial Intelligence alongside cohort taught subjects to develop their management skills and their employability.

On the Msc in Microelectronics and Computer Engineering, the development of skills and advancement of knowledge focus on developing strong design skills for the seamless integration of software and hardware subsystems through the adoption of software-hardware co-design methodologies.

This will enable you to gain experience of designing digital systems for sustainable and smart applications, using DSP/FPGA/ASIC technology. Students will be aware of alternatives to the mainstream superscalar approach to computer design and instil in them design skills for a variety of acceleration intelligence techniques.

The successful postgraduates of the programme will acquire the knowledge and understanding, intellectual, practical and transferable skills necessary for the analysis and synthesis of problems in engineering and manufacturing through a combination of experimental, simulation, research methods and case studies. You can expect to work in a range of disciplines within a variety of industries from specialist technical roles to positions of management responsibility.

Why choose this course?

-Gain experience of designing digital systems for sustainable and smart applications.
-Microelectronics is developing as technology expands at an increasing rate and we are at the forefront for this subjects.
-Supported by the School which has over 25 years' experience of teaching electronic engineering and has established an excellent international reputation in this field.
-We offer extensive lab facilities for engineering students, including the latest software packages.

Careers

You will typically be employed to evaluate, select and deploy appropriate software tools to create/manage or simulate applications/systems. Within your area of expertise, you will be making independent design decisions on mission-critical systems.

Teaching methods

Our enthusiastic staff is always looking for new ways to enhance your learning experience and over recent years, we have won national awards for our innovative teaching ideas. In addition, our staff are active in research and useful elements of it are reflected on the learning experience.

The School of Engineering and Technology has a reputation for innovation in teaching and learning, where nearly all MSc modules are delivered through a combination of traditional face-to-face teaching and backup tutorial's using the University's StudyNet web based facility. StudyNet allows students to access electronic teaching and learning resources, and conduct electronic discussions with staff and other students.

A heavy emphasis is placed on theory and practice, and the School of Engineering and Technology has a policy of using industrial standard software wherever possible.

Structure

Modules
-Advanced Reconfigurable Systems and Applications
-Artificial Intelligence
-Computer Architecture Design
-Digital Signal Processing and Processes
-MSc Project
-Mixed Mode and VLSI Technologies
-Operations Management
-Operations Research
-Sustainability and Smart Systems Engineering

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The Edward S. Rogers Sr. Department of Electrical and Computer Engineering offers graduate cours​es and research opportunities in three programs of study. Read more
The Edward S. Rogers Sr. Department of Electrical and Computer Engineering offers graduate cours​es and research opportunities in three programs of study. The Master of Applied Science and Doctor of Philosophy are research-based degree programs and require the completion of a thesis. The Master of Engineering is a course-based degree program and may be taken on a full-time or part-time basis.

The Master of Applied Science (MASc) program provides students with an opportunity to pursue advanced studies in the particular field of major interest and an opportunity to engage in research. The program requires full-time study for a minimum of one year, coursework, and a thesis on a research project.

The Master of Engineering (MEng) program is designed to provide professional training beyond the undergraduate level and to accelerate careers with specialized engineering expertise needed in business, government, and industry. The degree requirements, consisting of courses and an optional MEng project, are structured to be completed in one year by a full-time student.

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If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you. The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning. Read more
If you are intrigued by the acquisition, processing, analysis and understanding of computer vision, this Masters is for you.

The programme is offered by Surrey's Department of Electrical and Electronic Engineering, recognised for world-leading research in multimedia signal processing and machine learning.

PROGRAMME OVERVIEW

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.

PROGRAMME STRUCTURE

This programme is studied full-time over 12 months and part-time over 48 months. It consists of eight taught modules and a standard project.

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.
-Digital Signal Processing A
-Object Oriented Design and C++
-Image Processing and Vision
-Space Robotics and Autonomy
-Satellite Remote Sensing
-Computer Vision and Pattern Recognition
-AI and AI Programming
-Advanced Signal Processing
-Image and Video Compression
-Standard Project

EDUCATIONAL AIMS OF THE PROGRAMME

The taught postgraduate degree programmes of the Department of Electronic Engineering are intended both to assist with professional career development within the relevant industry and, for a small number of students, to serve as a precursor to academic research.

Our philosophy is to integrate the acquisition of core engineering and scientific knowledge with the development of key practical skills (where relevant). To fulfil these objectives, the programme aims to:
-Attract well-qualified entrants, with a background in Electronic Engineering, Physical Sciences, Mathematics, Computing and Communications, from the UK, Europe and overseas.
-Provide participants with advanced knowledge, practical skills and understanding applicable to the MSc degree
-Develop participants' understanding of the underlying science, engineering, and technology, and enhance their ability to relate this to industrial practice
-Develop participants' critical and analytical powers so that they can effectively plan and execute individual research/design/development projects
-Provide a high level of flexibility in programme pattern and exit point
-Provide students with an extensive choice of taught modules, in subjects for which the Department has an international and UK research reputation

Intended capabilities for MSc graduates
-Know, understand and be able to apply the fundamental mathematical, scientific and engineering facts and principles that underpin computer vision, machine learning as well as how they can be related to robotics
-Be able to analyse problems within the field computer vision and more broadly in electronic engineering and find solutions
-Be able to use relevant workshop and laboratory tools and equipment, and have experience of using relevant task-specific software packages to perform engineering tasks
-Know, understand and be able to use the basic mathematical, scientific and engineering facts and principles associated with the topics within computer vision, machine learning
-Be aware of the societal and environmental context of his/her engineering activities
-Be aware of commercial, industrial and employment-related practices and issues likely to affect his/her engineering activities
-Be able to carry out research-and-development investigations
-Be able to design electronic circuits and electronic/software products and systems

Technical characteristics of the pathway
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.

PROGRAMME LEARNING OUTCOMES

The Department's taught postgraduate programmes are designed to enhance the student's technical knowledge in the topics within the field that he/she has chosen to study, and to contribute to the Specific Learning Outcomes set down by the Institution of Engineering and Technology (IET) (which is the Professional Engineering body for electronic and electrical engineering) and to the General Learning Outcomes applicable to all university graduates.

General transferable skills
-Be able to use computers and basic IT tools effectively
-Be able to retrieve information from written and electronic sources
-Be able to apply critical but constructive thinking to received information
-Be able to study and learn effectively
-Be able to communicate effectively in writing and by oral presentations
-Be able to present quantitative data effectively, using appropriate methods

Time and resource management
-Be able to manage own time and resources
-Be able to develop, monitor and update a plan, in the light of changing circumstances
-Be able to reflect on own learning and performance, and plan its development/improvement, as a foundation for life-long learning

Underpinning learning
-Know and understand scientific principles necessary to underpin their education in electronic and electrical engineering, to enable appreciation of its scientific and engineering content, and to support their understanding of historical, current and future developments
-Know and understand the mathematical principles necessary to underpin their education in electronic and electrical engineering and to enable them to apply mathematical methods, tools and notations proficiently in the analysis and solution of engineering problems
-Be able to apply and integrate knowledge and understanding of other engineering disciplines to support study of electronic and electrical engineering

Engineering problem-solving
-Understand electronic and electrical engineering principles and be able to apply them to analyse key engineering processes
-Be able to identify, classify and describe the performance of systems and components through the use of analytical methods and modelling techniques
-Be able to apply mathematical and computer-based models to solve problems in electronic and electrical engineering, and be able to assess the limitations of particular cases
-Be able to apply quantitative methods relevant to electronic and electrical engineering, in order to solve engineering problems
-Understand and be able to apply a systems approach to electronic and electrical engineering problems

Engineering tools
-Have relevant workshop and laboratory skills
-Be able to write simple computer programs, be aware of the nature of microprocessor programming, and be aware of the nature of software design
-Be able to apply computer software packages relevant to electronic and electrical engineering, in order to solve engineering problems

Technical expertise
-Know and understand the facts, concepts, conventions, principles, mathematics and applications of the range of electronic and electrical engineering topics he/she has chosen to study
-Know the characteristics of particular materials, equipment, processes or products
-Have thorough understanding of current practice and limitations, and some appreciation of likely future developments
-Be aware of developing technologies related to electronic and electrical engineering
-Have comprehensive understanding of the scientific principles of electronic engineering and related disciplines
-Have comprehensive knowledge and understanding of mathematical and computer models relevant to electronic and electrical engineering, and an appreciation of their limitations
-Know and understand, at Master's level, the facts, concepts, conventions, principles, mathematics and applications of a range of engineering topics that he/she has chosen to study
-Have extensive knowledge of a wide range of engineering materials and components
-Understand concepts from a range of areas including some from outside engineering, and be able to apply them effectively in engineering projects

Societal and environmental context
-Understand the requirement for engineering activities to promote sustainable development
-Relevant part of: Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk issues
-Understand the need for a high level of professional and ethical conduct in engineering

Employment context
-Know and understand the commercial and economic context of electronic and electrical engineering processes
-Understand the contexts in which engineering knowledge can be applied (e.g. operations and management, technology development, etc.)
-Be aware of the nature of intellectual property
-Understand appropriate codes of practice and industry standards
-Be aware of quality issues
-Be able to apply engineering techniques taking account of a range of commercial and industrial constraints
-Understand the basics of financial accounting procedures relevant to engineering project work
-Be able to make general evaluations of commercial risks through some understanding of the basis of such risks
-Be aware of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety and risk (including environmental risk) issues

Research and development
-Understand the use of technical literature and other information sources
-Be aware of the need, in appropriate cases, for experimentation during scientific investigations and during engineering development
-Be able to use fundamental knowledge to investigate new and emerging technologies
-Be able to extract data pertinent to an unfamiliar problem, and employ this data in solving the problem, using computer-based engineering tools when appropriate
-Be able to work with technical uncertainty

Design
-Understand the nature of the engineering design process
-Investigate and define a problem and identify constraints, including environmental and sustainability limitations, and health and safety and risk assessment issues
-Understand customer and user needs and the importance of considerations such as aesthetics
-Identify and manage cost drivers
-Use creativity to establish innovative solutions
-Ensure fitness for purpose and all aspects of the problem including production, operation, maintenance and disposal
-Manage the design process and evaluate outcomes
-Have wide knowledge and comprehensive understanding of design processes and methodologies and be able to apply and adapt them in unfamiliar situations
-Be able to generate an innovative design for products, systems, components or processes, to fulfil new needs

Project management
-Be able to work as a member of a team
-Be able to exercise leadership in a team
-Be able to work in a multidisciplinary environment
-Know about management techniques that may be used to achieve engineering objectives within the commercial and economic context of engineering processes
-Have extensive knowledge and understanding of management and business practices, and their limitations, and how these may be applied appropriately

FACILITIES, EQUIPMENT AND SUPPORT

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).

CAREER PROSPECTS

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:
-Multimedia indexing and retrieval (Google, Microsoft, Apple)
-Motion capture (Foundry)
-Media production (BBC, Foundry)
-Medical Imaging (Siemens)
-Security and Defence (BAE, EADS, Qinetiq)
-Robotics (SSTL)

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.

Our graduates are employed by companies across the electronics, information technology and communications industries. Recent employers include:
-BAE Systems
-BT
-Philips
-Hewlett Packard
-Logica
-Lucent Technologies
-BBC
-Motorola
-NEC Technologies
-Nokia
-Nortel Networks
-Red Hat

INDUSTRIAL COLLABORATIONS

We draw on our industry experience to inform and enrich our teaching, bringing theoretical subjects to life. Our industrial collaborations include:
-Research and technology transfer projects with industrial partners such as the BBC, Foundry, LionHead and BAE
-A number of our academics offer MSc projects in collaboration with our industrial partners

RESEARCH PERSPECTIVES

This course gives an excellent preparation for continuing onto PhD studies in computer vision related domains.

GLOBAL OPPORTUNITIES

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.

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