Designed for those with no formal ICT background, this course addresses the key areas of the ‘Skills Framework for the Information Age’ and will fire up your motivation for becoming a professional in the field. You will gain an effective introduction to software technology and engineering practice, study the details of database design and engineering management and if you choose to take on an internship with a professional practice, will gain critical skills that will prepare you for real-life working environments.
In this course, you have the option of undertaking an internship unit as part of the Faculty of Education, Science, Technology & Maths’ commitment to supporting work integrated learning, which will enhance your employability and ensure you’re armed with the right mix of skills and knowledge to take a super-confident leap into your future career.
This course has full accreditation by the professional body, the Australian Computer Society, at the Professional level.
A range of career opportunities exist for Master of Information Technology and Systems graduates, including as a:
Technology is one of the greatest agents of change in the modern world and it represents a significant opportunity and risk for businesses of all sizes. Developers play a central role in how we interact with the online world and employment in the IT industry is expected to grow at nearly 5 times the UK average over the next decade (CIO, 2015).
The demands of our global, data-intensive, knowledge based economy is creating a skills gap and making now the perfect time to gain the skills necessary to meet demand.
Northumbria University’s part-time MSc Web and Mobile Development Technologies is taught by industry experts around leading-edge content, and is designed to give you the knowledge and expertise to fill this gap.
-Part-time Masters degree based in Central London
-Continue working while you study with lectures delivered on 15 weekends throughout the 2 year course
-Build a firm grounding in strategic web development skills and mobile development
-Learn how to manage and utilise the opportunities emerging technologies create
-Undergraduate degree not essential for entry
Northumbria University’s part-time MSc Web and Mobile Development Technologies provides a firm grounding in strategic web development skills, with a specific focus on mobile development. Blending training with academic rigour, our programme will enable you to develop the lifelong skills needed to rise to the challenge and opportunity of emerging technologies and engage in the ‘bleeding edge’ field. An area which is notoriously high risk and has an increased potential of unreliability.
You will study the core skills required to gain a deep understanding of contemporary web development, industry practice and analysis which forms the basis of next generation technologies. This programme also focuses on mobile development and web development skills you need to engage and succeed in the cutting edge of technology.
During the programme you will also develop independent research skills to manage risk and identify, recommend and deploy relevant technologies both now and in the future. Throughout the course, you will study with a diverse group like-minded IT professionals, share ideas, and build upon your professional network.
The part-time programme is designed to enable working professionals to fit their study around their work and personal life. The programme is assessed through modular assignments and a final dissertation, with no exams.
All taught lectures are delivered on 15 weekends spread throughout the 2 year period, with approximately 24 hours of taught content per module. You will be expected to invest equal time on self-directed learning and reading.
Our MSc Web and Mobile Development Technologies is a truly blended learning programme, offering extensive student support in and outside of the classroom. We have a dedicated delegate support team based in London to assist you throughout your programme and arrange one-to-one sessions with our experienced faculty.
-LD7025 – Web Engineering (20 credits)
-LD7024 – UX/UI Theory, Experience and Development (20 credits)
-LD7026 – Mobile App Development (20 credits)
-LD7041 – Cloud Computing (20 credits)
-LD7027 – Web & Mobile Application Security (20 credits)
-LD0721 – Internet of Things (20 credits)
-LD0722 – Research Methods and Dissertation Preparation (0 credits)
-LD0729 – MSc Computer Science and Digital Technologies Project (60 credits)
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Data Science at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
MSc in Data Science aims to equip students with a solid grounding in data science concepts and technologies for extracting information and constructing knowledge from data. Students of the MSc Data Science will study the computational principles, methods, and systems for a variety of real world applications that require mathematical foundations, programming skills, critical thinking, and ingenuity. Development of research skills will be an essential element of the Data Science programme so that students can bring a critical perspective to current data science discipline and apply this to future developments in a rapidly changing technological environment.
The MSc Data Science programme focuses on three core technical themes: data mining, machine learning, and visualisation. Data mining is fundamental to data science and the students will learn how to mine both structured data and unstructured data. Students will gain practical data mining experience and will gain a systematic understanding of the fundamental concepts of analysing complex and heterogeneous data. They will be able to manipulate large heterogeneous datasets, from storage to processing, be able to extract information from large datasets, gain experience of data mining algorithms and techniques, and be able to apply them in real world applications. Machine learning has proven to be an effective and exciting technology for data and it is of high value when it comes to employment. Students of the Data Science programme will learn the fundamentals of both conventional and state-of-the-art machine learning techniques, be able to apply the methods and techniques to synthesise solutions using machine learning, and will have the necessary practical skills to apply their understanding to big data problems. We will train students to explore a variety visualisation concepts and techniques for data analysis. Students will be able to apply important concepts in data visualisation, information visualisation, and visual analytics to support data process and knowledge discovery. The students of the Data Science programme also learn important mathematical concepts and methods required by a data scientist. A specifically designed module that is accessible to students with different background will cover the basics of algebra, optimisation techniques, statistics, and so on. More advanced mathematical concepts are integrated in individual modules where necessary.
The MSc Data Science programme delivers the practical components using a number of programming languages and software packages, such as Hadoop, Python, Matlab, C++, OpenGL, OpenCV, and Spark. Students will also be exposed to a range of closely related subject areas, including pattern recognition, high performance computing, GPU processing, computer vision, human computer interaction, and software validation and verification. The delivery of both core and optional modules leverage on the research strength and capacity in the department. The modules are delivered by lecturers who are actively engaged in world leading researches in this field. Students of the Data Science programme will benefit from state-of-the-art materials and contents, and will work on individual degree projects that can be research-led or application driven.
Modules for the MSc Data Science programme include:
- Visual Analytics
- Data Science Research Methods and Seminars
- Big Data and Data Mining
- Big Data and Machine Learning
- Mathematical Skills for Data Scientists
- Data Visualization
- Human Computer Interaction
- High Performance Computing in C/C++
- Graphics Processor Programming
- Computer Vision and Pattern Recognition
- Modelling and Verification Techniques
- Operating Systems and Architectures
The Department of Computer Science is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, our Computer Science students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
As part of the expansion of the Department of Computer Science, we are building the Computational Foundry on our Bay Campus for computer science and mathematical science.
- Data Analyst
- Data mining Developer
- Machine Learning Developer
- Visual Analytics Developer
- Visualisation Developer
- Visual Computing Software Developer
- Database Developer
- Data Science Researcher
- Computer Vision Developer
- Medical Computing Developer
- Informatics Developer
- Software Engineer
Visit our website for more information on fees, scholarships, postgraduate loans and other funding options to study Logic and Computation at Swansea University - 'Welsh University of the Year 2017' (Times and Sunday Times Good University Guide 2017).
Logic is the basis for reasoning about what we can express and compute, having a profound influence in philosophy, linguistics, mathematics, computer science, and electronics. Since the invention of computers, logic has always been the primary source of ideas and techniques for the theoretical and practical development of programming.
Today, as the scope of programming technologies expands, and the horizon of applications widens, research in logic and its applications in software and hardware development is booming. In industry, formal methods are an integral part of system development, e.g., in automotive electronics, avionics, and chip design.
The MRes Logic and Computation course will teach you about advanced techniques in logic and their applications in research problems in computer science. You will receive an elite education of direct relevance to research and development problems in contemporary information and communication technology (ICT).
Teaching score of Excellent.
Highest percentage of top-class researchers of any Computer Science department in Wales – and only 12 in the UK have higher.
70% of the research activity assessed as world-leading or internationally excellent.
Our industrial programme IT Wales which can arrange vacation employment placements.
A state-of-the-art education.
Friendly staff, committed to the highest standards.
A university with high success rate, low drop-out rate, and excellent student support.
Swansea's Library spends more per student on books and other resources than any other university in Wales, and most in the UK.
The main part of the MRes in Logic and Computation is a substantial and challenging project involving cutting edge research. The completion of such a project will give you the ability and confidence to pursue a successful career in industrial research and development, or to proceed to academic PhD studies.
In seminars and reading courses you will enter the world of research by studying general topics in theoretical computer science as well as special topics for your research project. Guided by your supervisor you will conquer new technical subjects and learn to critically assess current research.
Lecturers and students will meet regularly to discuss recent developments and give informal talks. Topics of the seminars are chosen in accordance with the research projects, and will cover material such as:
Theorem proving techniques
Formal program verification
Algebraic and coalgebraic specification
Modelling of distributed systems
Advanced methods in complexity theory
Additionally you will choose selected taught modules covering important topics such as Critical Systems, IT Security, Concepts of Programming
Languages, Artificial Intelligence Applications, Design Patterns and Generic Programming.
The Department is well equipped for teaching, and is continually upgrading its laboratories to ensure equipment is up-to-date – equipment is never more than three years old, and rarely more than two. Currently, students use three fully networked laboratories: one, running Windows; another running Linux; and a project laboratory, containing specialised equipment. These laboratories support a wide range of software, including the programming languages Java, C# and the .net framework, C, C++, Haskell and Prolog among many; integrated programme development environments such as Visual Studio and Netbeans; the widely-used Microsoft Office package; web access tools; and many special purpose software tools including graphical rendering and image manipulation tools; expert system production tools; concurrent system modelling tools; World Wide Web authoring tools; and databases.
All Computer Science courses will provide you the transferable skills and knowledge to help you take advantage of the excellent employment and career development prospects in an ever growing and changing computing and ICT industry.
90% of Swansea’s Computer Science graduates are in full-time employment or further study within six months of graduating (HESA June 2011).
Some example job titles from the HESA survey 2011:
Software Engineer: Motorola Solutions
Change Coordinator: Logica
Software Developer/Engineer: NS Technology
Workflow Developer: Irwin Mitchell
IT Developer: Crimsan Consultants
Consultant: Crimsan Consultants
Programmer: Evil Twin Artworks
Web Developer & Web Support: VSI Thinking
Software Developer: Wireless Innovations
Associate Business Application Analyst: CDC Software
Software Developer: OpenBet Technologies
Technical Support Consultant: Alterian
Programming: Rock It
Software Developer: BMJ Group
The results of the Research Excellence Framework (REF) 2014 show that Swansea Computer Science ranked 11th in the UK for percentage of world-leading research, and 1st in Wales for research excellence. 40% of our submitted research assessed as world-leading quality (4*).