The Mobile & Personal Communications MSc programme covers the latest aspects of personal and mobile wireless communication technology, communication networks, advanced digital communications theory and techniques and signal processing. You will study Digital Communications, Random Variables and Stochastic Processes, Communication Theory as well Mobile and Personal Communication Systems There are opportunities to explore a broad range of optional modules allowing you the freedom to develop your study pathway to reflect your interests. You will complete the course in one year, studying September to September and taking a combination of required and optional modules totalling 180 credits, including 60 credits that will come from an individual project of 15,000 words.
Our programme offers introductory modules followed by specialised topical courses on the latest aspects of communications technology, including personal and mobile wireless communications, communication networks, advanced digital communications theory and techniques and communications signal processing. You will study Digital Communications, Random Variables and Stochastic Processes, Communication Theory, Mobile and Personal Communication Systems. You will complete eight taught modules. You will also undertake a substantial individual project.
For students wishing to work in the telecommunications industry.
We use lectures, seminars and group tutorials to deliver most of the modules on the programme. You will also be expected to undertake a significant amount of independent study.
You are expected to spend approximately 150 hours of effort (i.e. about 10 hours per credit) for each module you attend in your degree. These 150 hours cover every aspect of the module: lectures, tutorials, lab-based exercises, independent study based on personal and provided lecture notes, tutorial preparation and completion of exercises, coursework preparation and submission, examination revision and preparation, and examinations.
Assessment
Assessment methods will depend on the modules selected. The primary methods of assessment for this course are written examinations and coursework. You may also be assessed by class tests, essays, assessment reports and oral presentations.
Students continue on to careers in industry, commerce, academic research and further study.
This is a programme of study that involves networking, software development technologies and architectures for the design and management of modern distributed computer systems and networks. The emphasis is on a software engineering approach based on sound modern software engineering project management methods, tools and techniques, which enable an integrated lifecycle systems development view.
The programme aims to provide students with the knowledge, skills and understanding required to allow them to contribute to the planning, design and management of modern network based computer systems. Students will gain the understanding of critical evaluation of existing technology options, future developments, protocols, architecture and tools needed to support the development and delivery of advanced network services. Upon successful completion of this Master's programme graduates are expected to be proficient in the development of new enterprise distributed and/or web-enabled systems, the integration of legacy systems into intranets or extranets, and advanced data and telecommunication technologies.
Through our short course centre opportunity may also be provided to study for the following professional qualifications: CISCO Certified Network Associate; Penetration Testing and Vulnerability Assessment.
The availability of some courses is subject to satisfying constraints that may come into effect in the year of entry. In addition, some options are negotiable, indicating that a course selection will need to be approved prior to the student undertaking the requested option.
Year 1
Students are required to study the following compulsory courses.
Students are required to choose 15 credits from this list of options.
Students are required to choose 15 credits from this list of options.
Year 1
Students are required to study the following compulsory courses.
Students are required to choose 30 credits from this list of options.
Students are required to choose 30 credits from this list of options.
Year 2
Students are required to study the following compulsory courses.
Students are required to choose 15 credits from this list of options.
Students are required to choose 15 credits from this list of options.
Students are required to choose 15 credits from this list of options.
Students are required to choose 15 credits from this list of options.
Students are assessed through examinations, coursework and a project.
This programme is accredited by the British Computer Society (BCS). On successful graduation from this degree, the student will have fulfilled the academic requirement for registration as a Chartered IT Professional (CITP) and partially fulfilled the education requirement for registration as a Chartered Engineer (CEng) or Chartered Scientist (CSci). Please contact the BCS for further information. The programme also has accreditation from the European Quality Assurance Network for Informatics Education (EQANIE).
Graduates from this programme are equipped for employment in industry commerce or education to work as independent consultants or within teams in diverse areas such as networking, business data communication and telecommunication, Internet and e-commerce applications, IT support, advanced research, teaching and training.
This full time course will cover the practical, theoretical and technological aspects of 5G Communications Systems as they evolve over the coming years.
You’ll gain expert knowledge of the latest technologies that will drive the next mobile, wireless and communications revolution, and evolve our current 4G environment to 5G communications enabled systems. Applications will cover robotics & autonomous systems, UAVs, immersive systems and augmented realities, health monitoring, cyber-integrated systems, and smart grids. Data handling of the expected 50 billion IoT (internet of things) devices coming on-line to monitor traffic, weather, environment, smart agriculture, and even when your fridge runs out of milk, will also be explored.
5G will provide greater capacity, improved reliability, support at higher rates of mobility, and wider geographical coverage, at even higher data speeds and throughput and many new services and facilities.
On the course you will engage with experts and specialists whose integrated knowledge will enable you to gain the skills, knowledge and expertise to be part of the definition of the next generation of mobile and wireless communications. These will include:
There are two semesters of compulsory and optional taught classes, followed by a three month summer research project working in a core area of 5G Communications system design, either in the Department or with an industry partner via an internship.
Facilities for research projects are extensive and these will allow you to choose to work on projects in a wide variety of areas such as physical and MAC layers (e.g. Advanced LTE) from IoT, cybersecurity, dynamic spectrum, massive-MIMO, low latency communications, or in applications such as smart agriculture, environment monitoring, computer vision, communicating radar, satellite systems, automotive, driver-less cars and of course some application domains yet to be established with the advent of 5G!
We have an extensive set of teaching spaces and learning environments alongside a dedicated Masters Project and Study Environment for self-study and group working.
We work closely with a number of industry partners, and our state-of-the-art facilities include wireless and mobile radio hardware and software, FPGA and SDR systems, supported by companies including EE, Vodafone, Xilinx, Cisco, MathWorks, British Telecom, Intel, Lime Microsystems , Analog Devices and many smaller companies and organisations. Our research laboratories include our Signal Processing Design Lab; Image and Vision Processing Lab; White Space Radio Testbed, IoT Test Facility, RF anechoic room, and so on.
We use a blend of teaching and learning methods including interactive lectures, on-line video lectures, problem-solving tutorials and practical project-based laboratories. Our extensive teaching and project facilities include state-of-the-art Software Defined Radio laboratories, IoT and networking capabilities, Computer Vision laboratories, alongside satellite and sensor equipment.
Each module comprises approximately five hours engagement per week. Some classes are presented in traditional lecture-tutorial-lab style, and we also offer a number of “flipped learning” classes whereby lectures are delivered through complete on-line video sets, with complementary in-class discussion and review seminars held each week to discuss relevant topics and subject matter.
To enhance your understanding, you are expected to undertake a further five to six hours of self-study, using our web-based virtual learning environment (MyPlace), research journals and library facilities.
The teaching and learning methods ensure you'll develop not only technical engineering expertise but also communications, project management and leadership skills.
Interaction with industry is provided through our internships, teaching seminars and networking events.
British Telecom, Vodafone, Everything-Everywhere, Xilinx, Cisco, Texas Instruments, MathWorks, NXP/Qualcomm and Selex ES are just a few examples of the industry partners working with Strathclyde at this time, and you have the opportunity to engage with them during your studies.
A variety of assessment techniques are used throughout the course. You'll complete 120 credits of taught modules. Each module has a combination of written assignments, individual and group reports, oral presentations, practical lab work and, where appropriate, an end-of-term exam.
Assessment of the summer research project consists of four elements, with individual criteria:
As communications now impacts on virtually all areas of society, commerce and business, job opportunities are excellent, and you will be equipped for employment across a range of sectors including mobile/wireless, IT, defence, and big data.
Professional and technical occupations with international companies such as Samsung, Xilinx, British Telecom, MathsWorks, Nokia and Texas Instruments, as well as local companies such as Cirrus Logic, Leonardo, and Stream, are available.
Globalisation of the communications sector and the evolution of many countries to 5G means if graduates wish to work abroad, this course provides an ideal passport to anywhere in the world.
Job titles include:
This master’s course is great if you want to become an expert in computer security and networks. Whether you want to continue in your computer science studies or turn your industry experience into qualifications, this is the ideal course for you.
Computer security and networks experts are in high demand around the world. You study a combination of modules, from Systems Administration and Security through to Mobile Systems and Communications, making sure you have the right skills for business. You gain a good understanding of planning and managing large development projects when studying our E-Commerce Management and Master’s Project modules – both will enhance your employability and career prospects even further.
There are three routes you can choose from to gain an MSc Computer Security and Networks:
You study the concepts, principles and theories of computer networks and security, informed by current research and professional practice. For example, building and managing a secure and effective commercial web presence requires much more than coding expertise – it requires a sound combination of commercial acumen, technical understanding and effective operations management. Our lecturers have significant research and industry experience and are well placed to develop your skills and knowledge in this field.
Course structure
Core modules
Modules offered may vary.
How you learn
You learn about concepts and methods primarily through keynote lectures and tutorials using case studies and examples. Lectures include presentations from guest speakers from industry. Critical reflection is key to successful problem solving and essential to the creative process. You develop your own reflective practice at an advanced level, then test and assess your solutions against criteria that you develop in the light of your research. For example, in Mobile Systems and Communications and Network Service Management you research an agreed area, based on the topics introduced during lectures, and prepare a report on this.
How you are assessed
Assessment takes a variety of forms including:
We typically give on-going feedback during lectures and tutorials and assessment feedback using online methods.
Career opportunities
From the beginning of your programme, we prepare you for a career in industry. In addition to your taught classes, we create opportunities for you to meet and network with our industry partners through events such as our ExpoSeries, which showcases student work to industry. ExpoTees is the pinnacle of the ExpoSeries with over 100 businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment.
Advanced practice
There are a number of internship options, including:
What is great about this computing master’s course is the flexibility it offers you – the direction you take is entirely up to you. You can design your programme from a huge range of subjects. Choose those that are most relevant to you and build a bespoke course that enhances your career opportunities and progression.
This course prepares you for a wide range of careers in the computing industry. Whether you are a graduate looking at the first step on the career ladder or a current employee looking to turn your industry experience into qualifications, this course is flexible enough to meet your needs. It is ideal if you already work in the field of computing and want to develop new skills, and equally relevant if you are a recent graduate wanting to develop the technical knowledge and understanding to progress to your chosen career.
There are three routes you can choose from to gain an MSc Computing:
This course both develops your knowledge to the forefront of computing and your intellectual ability for abstract analysis and synthesis at the level for postgraduate research. It produces graduates who can make reasoned, critical decisions for selecting or implementing appropriate computer-based solutions. It also produces graduates with sufficient technical and inter-personal skills to make an immediate contribution to major projects at the leading edge of computer applications. We encourage enterprise and progression towards further research including MPhil and/or PhD. You acquire a range of practical, professional and transferable skills.
Course structure
Core module
and five optional modules
Modules offered may vary.
How you learn
Lectures are used to introduce and develop material, with research issues and recent developments included as appropriate. Subjects are explored in depth via tutor-led seminars, practical workshops, individual or group research and contribution to discussion forums.
Lectures, discussion seminars and online discussions are used to develop intellectual skills. Directed self study and research are used in many modules to develop your critical evaluation skills.
Lectures, including presentations from guest external practitioners, are used to deliver relevant subject-specific content. Practical work includes case studies from real scenarios and the development of significant computer applications.
Development of transferable skills, self-managed learning and professional development are core themes throughout the programme. Methods include group-based activities and discussions, self-directed learning and research, and tutor-led workshops.
How you are assessed
Most learning outcomes are assessed by individual coursework, including case studies, essays and the development of computer applications, with critical evaluation of processes or products, and evidence of research into a specified area. Some learning outcomes are assessed by group work. The School of Computing is very experienced in assessing group work with a research profile in that area. The assessment starts with a group, with a clear emphasis on process as well as product, but proceeds to individual assessment of each student by a variety of means.
Other assessments include individual portfolios of technical work and presentations to tutors of research findings. Assessment of a significant computer application, plus group work, is used as the vehicle for assessing planning and self-management. Other assessments of transferable skills include oral presentations and the development of portfolios of work to a professional standard.
Career opportunities
From the beginning of your programme, we prepare you for a career in industry. In addition to your taught classes, we create opportunities for you to meet and network with our industry partners through events such as our ExpoSeries, which showcases student work to industry. ExpoTees is the pinnacle of the ExpoSeries with over 100 businesses from across the UK coming to the campus to meet our exceptional students, with a view to recruitment.
Advanced practice
There are a number of internship options, including:
This programme of study aims to train first-degree holders in computing-related areas into specialists in selected areas of IT and computing. Based on the current expertise in the Department, the programme offers students opportunities for in-depth study in:
The programme is carefully designed to suit the varied needs of different students from different backgrounds and with different career objectives.
Communications using mobile and wireless devices such as mobile phones, PDA s and laptops have become increasingly important in modern life and electronic commerce. Reliable, speedy and secure transmission of information over such devices is vital for the successful exploitation of the technologies.
Authentication, using biometric data as a sophisticated means to combat fraud, is increasingly accepted by both businesses and governments. Biometric authentication solutions require good use of imaging and data mining techniques in constructing and verifying customer profiles. Online organisations have accumulated large collections of online data that need speedy processing and analysis. If you are interested in finding out more about any of these technologies, then this programme is for you.
On graduating from this programme, you will be able to:
Find out more about our Department of Applied Computing on http://www.buckingham.ac.uk/appliedcomputing.
Our modules include a mixture of formal lectures, tutorial classes and practical classes. At the start of each module you will be given an up-to-date module outline and reading list. Most modules will provide two or three hours of lectures each week to introduce you to the basic concepts and techniques. These will be supported by lecture notes or handouts.
Lectures are supported by weekly tutorial classes, usually one hour in length, which are held in small groups so that all students can benefit from individual attention. You will be expected to prepare for these classes, for example by attempting a set of exercises or by reading a case study.
Many of our modules have supervised practical classes in the computer laboratories in which you can apply and practise the techniques you have learnt in the lectures. These practical sessions are usually two or three hours long.
You will also be expected to study on your own, using the library for reading research and the computer laboratories to improve your practical skills.
Course material is also available on the University’s own Virtual Learning Environment. This allows students to download lecture notes, submit assignments and share resources in an electronic forum both within the University’s computer network and remotely.
The increasing specialisation which is frequently required in the employment market is no longer provided by just an undergraduate degree. A postgraduate degree provides these advanced skills and, in today’s competitive employment market, is becoming increasingly important in order to stand out from the crowd.
Any successful career choice in the market place will be dependent on a number of factors. Your academic qualification, while important, may not be the deciding factor. Your attitude, skills and experience matter too. Whatever your motivation in taking a postgraduate course, you should think about the transferable skills an employer is seeking, and taking advantage of every opportunity for self-development to improve your chances of success in your future career. The Careers Service has the resources to help you with this process.
The communications sector has changed dramatically in the past 5 years, as mobile internet, smartphones and associated apps such as social media, commerce and digital media have spurred an information revolution.
This programme responds to the growth of networks and mobile internet applications, allowing you to study traditional communications theory alongside modules dealing with network security and the protocols for high-speed switches and routers.
You’ll build your knowledge of new developments in data-centric networking and the growing trend in cloud computing and online services, such as web-search, video content hosting and distribution, social networking and large-scale computations. Optional modules will allow you to specialise in topics appropriate to your interests and career plans.
It’s a chance to gain specialist knowledge and skills that will be in demand over a wide range of disciplines, from the traditional communications industries to banking, finance and commerce.
Specialist facilities
Our School is an exciting and stimulating environment where you’ll learn from leading researchers in specialist facilities. Depending on your research project, these may include our Keysight Technologies wireless communications lab, as well as labs for embedded systems, power electronics and drives, ultrasound and bioelectronics.
There’s also a Terahertz photonics lab, class 100 semiconductor cleanroom, traffic generators and analysers, FPGA development tools, sensor network test beds. We have facilities for electron-beam lithography and ceramic circuit fabrication – and a III-V semiconductor molecular beam epitaxy facility.
The Faculty is also home to the £4.3 million EPSRC National Facility for Innovative Robotic Systems, set to make us a world leader in robot design and construction.
During the last decade, there has been a dramatic increase in the size and complexity of data collected by both Industry and the Academic community. Examples include genomic and proteomic data on one hand, and social media and electronic commerce data on the other. The availability of such vast quantities of data is having a large impact on both academic research and business practices. In particular, it is changing the nature and focus of the statistical profession.
The Department of Statistics at the University of Haifa is dedicated to providing its students with a rigorous, modern and up to date education in this exciting era for our profession. We focus on fundamentals while teaching the newest methods and applications. We emphasize computational know-how, the understanding of statistical ideas, and the ability to apply them. We train our graduates to analyze and draw meaningful conclusions from data, a skill that is becoming ever more important. Our goal is to see out graduates assume leading roles, within the profession, whatever their career choices may be.
The International Master of Arts program in Statistics at the University of Haifa in Israel is dedicated to providing you with a rigorous, modern, and up-to-date education in Statistics. You will be trained to analyze and draw meaningful conclusions from data collected in a variety of application areas. This includes clinical trials, finance, genomics, and social media and web/mobile applications. The ability to reason with data is a skill that is becoming ever more important in the current age of Big Data, Data Science, and the Digital Economy.
The cutting-edge curriculum emphasizes computational know-how and the fundamental and core themes of the statistical sciences. At the same time it is also mathematically rigorous and challenging. The program will prepare you for further academic studies as well as for data related leadership roles in various industries including High-Tech, E-commerce, Healthcare, Research and Development and more.
The one-year program (non-thesis track) is taught in English over 3 consecutive semesters. A thesis track is also offered to those students who are interested in continuing to Ph.D. Your academic studies at the University of Haifa will be enhanced with networking opportunities with students from Israel and all over the world as well as by vibrant life on and off campus, which will acquaint you with Israeli culture, language, and start-up mentality.
We are entering a golden age for the statistical sciences and profession. Companies large and small have come to realize that their data is among their most important assets, an asset they should analyze and learn from. Consequently, the demand for statistical expertise, and for statisticians, is rapidly growing. In addition to the traditional jobs in academia, government and the pharmaceutical industry, there is today a huge demand in modern applications such as finance, e-commerce, and social media to name a few. In some of these settings, statisticians go by the name of data scientists. The data explosion is also fueling research in new methods and models.
Graduates of our program have found employment in a variety of settings. Some have gone to assume academic positions. The majority, however, have found work in either industry and/or government. This includes large companies such as the Israeli Electric Company, the Israeli Ministry of Health, and Pharmaceutical companies such as Teva. Other graduates have preferred to work for smaller companies in various industries including the biomedical arena and as consultants in such companies as Boston Consulting. Recent graduates have found work as data scientists in the high-tech sector with transnational companies such as Intel and Microsoft.
The Non-Thesis Track lasts for three consecutive semesters over 12 months. In addition to a non-thesis track, a Thesis Track is offered, which takes five semesters over 24 months. The courses include:
Note: Internship/Statistical Practice may be included for outstanding students. For more details on the courses, please click here.
The faculty members of the Department of Statistics have broad international experience. Some were born outside of Israel, others have studied abroad and/or hold doctorate degrees from foreign universities. All of the faculty members either have been post-doctoral fellows or have held visiting positions at top universities in Europe, East Asia or the US. Our faculty members regularly publish research in the highly ranked international journals and lecture at the top conferences of the profession.
The Head of the program, Professor Ori Davidov, has been a faculty member in Haifa since October 1999. Professor Davidov's research has been supported by the Israeli Science Foundation, the Binational Science Foundation, and the USA’s National Institute of Health. Professor Davidov has published the results of his research work in the top Academic Journals and has had the opportunity to present his research at numerous international venues. He has twenty years of teaching experience at the undergraduate and graduate level. Professor Davidov has taught courses in Israel, the United States, Europe, and Thailand and is an active participant in the Inter-European Network of researchers. In addition, professor Davidov has consulted pharmaceutical companies, venture capital, and software firms.
A full list of faculty staff can be found here.
Scholarships are available for exceptional applicants. International school may offer scholarships for early applicants. Learn about application deadlines here.
Information on other scholarships and financial aid can be found here.
Join one of our 16 International English-language Master’s programs at the University of Haifa
