This course is a conversion course that will give you a grounding in computer programming. There's a particular focus on in-demand mobile and web applications, software engineering, and computer security. You'll learn through classes and extensive lab based work. You'll undertake a practical software development dissertation project. All classes within the course are tailored to the needs of students from non-computing backgrounds. They'll equip you with the key skills you'll need to begin a successful career as a software developer.
This course will prepare you for a professional and rewarding career in software development not only within the IT sector, but within many other sectors including education, engineering, health, finance, government, manufacturing, retail, and transport.
You'll also develop other valuable transferable skills including effective presentation, team working, and report writing, which will further enhance your skills as a future leader.
The Department of Computer & Information Sciences is based on levels 11 to 14 of the Livingstone Tower. We have a large quiet study zone and a large social zone for working on group activities.
There are three large computer laboratories within the department, each containing state-of-the-art equipment with over 175 dual boot Windows and Linux machines available. Each lab machine is equipped with up-to-date software.
All departmental machines are linked by a high-speed local area network and operate under a single network file system so you can access your files from any of our machines. High-speed wireless access is also available throughout the department.
The University has a large modern library which contains all of the materials that you need for your course. Many of the books are also available online electronically meaning they are available to all students at all times.
Software Development graduates are highly employable and can look forward to well-paid professional careers. You could end up designing and building the digital technologies that underpin the global economy and, indeed, every aspect of human activity from recreation through healthcare to business and the natural environment.
Example roles include:
Strathclyde University provides a range of professional development services, including career support services introduced during induction and offered throughout the period of study and even after graduation, to help our students achieve their career ambitions.
Designed for graduates who want to move into computing from another discipline, this one-year programme attracts students from diverse career and subject areas who wish to be introduced to the skills required for a career in Software Development.
This MSc Computing offers students from diverse career and subject areas a balance of software engineering skills and technical abilities required for a career in Software Development.
Through this one-year programme you will get a first-hand understanding of the vital problem-solving role of software, the interdisciplinary opportunities available, and what computational systems can achieve.
Through a gentle introduction and intensive support, you will be introduced to programming skills using important languages such as Java and Python. Emphasis is placed on handling data and you will develop essential skills in SQL (Structured Query Language) for advanced database functionality using industry standard products such as Oracle™.
A choice of taught optional modules allows you to further develop skills in areas of your choice.
Graduates from these programmes will be ideally placed for employment in the computing industry or for careers requiring a combination of their graduate discipline with computing expertise.
Distinctive features
The distinctive features of this course include:
The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.
A diverse range of teaching and learning styles are used throughout the MSc in Computing and the MSc in Computing with Placement. Students will attend lectures, participate in seminars, workshops and tutorials, and carry out practical and laboratory work.
Students obtain support materials either via Learning Central (Cardiff University’s Virtual Learning Environment) or from study packs specially developed for selected modules.
Students will also undertake a project and independent study to enable them to complete their dissertation. Dissertation topics may be suggested by the student or chosen from a list of options proposed by academic staff reflecting their current interest.
Recent graduates have gained employment in roles such as software developers, systems analysts, business analysts, IT consultants, and support engineers.
MSc Computing graduates are employed by organisations of all sizes locally, nationally, and internationally. For example, recent graduates have taken up positions with local NHS Trusts, Logica, Sun Microsystems, BT, and the National Library of Medicine in the USA, as well as undertaking further doctoral study.
This postgraduate Information Systems and Technology course is for students who have a keen interest in both information system development and information management. It will particularly appeal to you if you are in the early stages of your career or have significant work experience in the area and wish to formalise your knowledge. You will explore information and knowledge, managing them in organisations, and the requisite design and technical skills to meet business requirements.
The Information Systems and Technology MSc will help you to:
Accredited by BCS, The Chartered Institute for IT for the purposes of partially meeting the academic requirement for registration as a Chartered IT Professional.
As a postgraduate student on a Computing and Information Systems course, you will have the opportunity to complete up to six months of professional experience as part of your degree.
Our longstanding internship scheme gives you the chance to apply the knowledge and skills gained from your taught modules within a real business environment. An internship also provides you with professional development opportunities that enhance your technical skills and business knowledge.
IntInternships delivered by City, University of London offer an exceptional opportunity to help you stand out in the competitive IT industry job market. The structure of the course extends the period for dissertation submission to January, allowing you to work full-time for up to six months. You will be supported by our outstanding Professional Liaison Unit (PLU) should you wish to consider undertaking this route.
The teaching and learning methods we use mean that your specialist knowledge and autonomy increase as you progress through each module. Active researchers and professionals guide your progress in the areas of information systems and management, project management and business processes.
Taught modules are delivered through a series of lectures together with either tutorials or laboratory sessions. Tutorials help you develop the skills to apply the concepts we have covered in the lectures. We normally achieve this through practical problem-solving contexts or case studies.
Laboratory sessions give you the opportunity to apply concepts and techniques using state-of-the-art software, environments and development tools.
City's online learning environment, Moodle, contains resources for each of the modules from lecture notes and lab materials, to coursework feedback, model answers, and an interactive discussion forum.
You will study independently and complete coursework for each module. Modules are assessed through a combination of written examinations, coursework, group work and presentations.
The individual project is a substantial task. It is your opportunity to develop an autonomous research-related topic under the supervision of an academic member of staff. This is the moment when you can apply your learning to solve a real-world information system or information management problem. At the end of the project you will submit a substantial MSc project report, which becomes the mode of assessment for this part of the programme.
Students successfully completing eight modules and the dissertation will be awarded 180 credits and a Master’s level qualification. Alternatively, students who do not complete the dissertation but have successfully completed eight modules will be awarded 120 credits and a postgraduate diploma. Successful completion of four modules (60 credits) will lead to the award of a postgraduate certificate.
The postgraduate Information Systems & Technology programme is made up of five core modules, three elective modules and a final project. All the electives are studied in the second term. You will take core and elective modules in three main streams: information, systems and technology. The third term is reserved for the project.
Modules include hands-on lab-based tutorials, group work seminars and presentations. You will learn technical skills in SQL, JavaScript and PhP, as well as design skills using UML. You can pursue a practical MSc project in an application area of your choice.
To find out more about the number of hours required, please consult the SMCSE programmes office.
As an Information Systems & Technology MSc graduate, you will be prepared for employment in information systems management roles within large and small organisations including:
Previous graduates have secured employment in some of the most prestigious companies in the world including:
The ‘with placement’ programme provides the opportunity to undertake a 7-10 month experience as an IT professional for students who successfully find a suitable placement.
This MSc Computing offers students from diverse career and subject areas a balance of software engineering skills and technical abilities required for a career in Software Development.
Through this two-year programme you will get a first-hand understanding of the vital problem-solving role of software, the interdisciplinary opportunities available, and what computational systems can achieve.
Through a gentle introduction and intensive support, you will be introduced to programming skills using important languages such as Java and Python. Emphasis is placed on handling data and you will develop essential skills in SQL (Structured Query Language) for advanced database functionality using industry standard products such as Oracle™.
A choice of taught optional modules allows you to further develop skills in areas of your choice.
Students may choose to apply for a paid 7-12 month professional work placement to be undertaken on completion of Spring semester and before completing the MSc course with a 60-credit dissertation. This provides valuable work experience to develop your IT Professional skills.
Graduates from these programmes will be ideally placed for employment in the computing industry or for careers requiring a combination of their graduate discipline with computing expertise.
Distinctive features
The School of Computer Science and Informatics has a strong and active research culture which informs and directs our teaching. We are committed to providing teaching of the highest standard and received an excellent report in the most recent Quality Assurance Agency (QAA) review.
A diverse range of teaching and learning styles are used throughout the MSc in Computing and the MSc in Computing with Placement. Students will attend lectures, participate in seminars, workshops and tutorials, and carry out practical and laboratory work.
Students obtain support materials either via Learning Central (Cardiff University’s Virtual Learning Environment) or from study packs specially developed for selected modules.
You will also undertake a project and independent study to enable you to complete a dissertation. Dissertation topics may be suggested by you or chosen from a list of options proposed by academic staff reflecting their current interest.
Recent graduates have gained employment in roles such as software developers, systems analysts, business analysts, IT consultants, and support engineers.
MSc Computing graduates are employed by organisations of all sizes locally, nationally, and internationally. For example, recent graduates have taken up positions with local NHS Trusts, Logica, Sun Microsystems, BT, and the National Library of Medicine in the USA, as well as undertaking further doctoral study.
Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions.
This programme will take your career to the next level and develop your ability to confidently make high impact businesses decisions that are driven by data.
The programme focuses on two key areas: analysing business data, and solving business challenges analytically. Optional modules allow you to further specialise in areas such as the economic, managerial or finance aspects of the subject.
Furthermore, you will benefit from hands-on experience of a wide range of analytics software such as simulators and mathematical tools.
The programme is studied full-time over one academic year. It consists of eight taught modules and a dissertation.
Example module listing
The following modules are indicative, reflecting the information available at the time of publication. Please note that not all modules described are compulsory and may be subject to teaching availability and/or student demand.
Business analytics students often pursue careers as consultants, researchers, managers, and analysts.
You will get hands-on experience using a wide range of tools in the course. An indicative list of the software tools is as follows:
This programme is run in cooperation with IBM.
The programme’s aim is to provide a high quality education that is both intellectually rigorous and at the forefront of management science research, relevant for problem solving and decision making by managers.
It will respond to the emergent needs of corporations and academia for professionals who are able to work with analytical tools to generate value from available Information depots and take advantage of the vast amounts of data now provided by the modern ICT and ERP systems, which underlie the operations of modern corporations.
The programme will implant understanding of the theoretical base around knowledge management and knowledge work, practical skills and experience in using analytical software tools.
It will allow future professional managers and consultants to cope with an increasingly complex and global operational environment of the modern corporation.
Completion of the programme will provide a sound foundation for those considering continuing their academic development towards a PhD degree in the management disciplines.
The programme is structured in a way that would provide students with a choice between a more quantitative intensive track of modules or a qualitative analytic (business development track) which would reflect students’ personal strengths and preferences and match future career aspirations.
The compulsory modules provide a sound foundation which builds an analytical skillset using relevant statistical and management theories, and supports the development of practical hands-on experience applying the theoretical aspects using real-world data to address corporate challenges and find solutions to actual problems.
The readings in the module will build a sound basis which would allow students to access and understand the academic literature and undertake empirical investigations in the areas of decision modelling and business development.
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.
Surrey Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and by the Association of MBAs (AMBA).
Gartner defines Big data as high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. A recent IDC forecast shows that the market for Big Data technology and services will grow at a 26.4% compound annual growth rate through 2018, or about six times the growth rate of the overall information technology market.
Saint Mary’s new Master of Science in Computing & Data Analytics (MSc CDA) is a graduate-level, 16-month professional program designed to meet the complex challenges associated with Big Data. It combines two essential aspects of computing and data analytics:
- Software design, development, customization, and management
- Analytics and Business intelligence: the acquisition, storage, management, and analysis of huge amounts of data to improve efficiency, innovation, and decision making
The primary focus of the MSc CDA program is to develop highly qualified computing and data analytics professionals who will drive innovation and organizational success. MSc CDA prepares students for rewarding and lucrative careers in the data science industry through experiential learning opportunities and industry interaction.
In the first two semesters of the MSc CDA program, students are introduced to big data challenges and solutions through eight foundation courses:
- Software Development in Business Environment
- Statistics and its Applications in Business
- Human Computer Interaction
- Managing and Programming Databases
- Business Intelligence
- Managing Information Technology and Systems
- Data Mining
- Web, Mobile, and Cloud Application Development
The second half of the program features three applied learning choices:
- Applied Master Project - System and Functional Analysis / Implementation and Analysis of Results
- Internship
- Research Thesis
Visit https://smu.ca/academics/msccda-courses.html for course outlines
- Develop in-demand skills and knowledge that lead to exceptional career opportunities
- Study with award winning instructors from Saint Mary’s Faculty of Science and the Sobey School of Business
- Interact with industry professionals through core courses, paid internships, sponsored projects, industry workshops, expert guest speakers, hackathons, and special events
- MSc CDA studnets create a rich portfolio of apps and software solutions from a wide variety of in-demand platforms (Java/J2EE, C#/.Net, JavaScript/jQuery/jQuery Mobile/node.js, HTML5, PHP, iOS, Android, IBM Bluemix, Azure, SAS, Cognos, SQL/MySQL, NoSQL/Mongo DB, R, Python, IBM Watson)
Saint Mary’s approach to learning will uniquely nurture the promise you possess. With one-on-one access to award winning professors, who care about your academic performance and your future, you will have the kind of personal support that makes a difference. Saint Mary’s is located in the historic city of Halifax, the bustling economic and cultural centre of Nova Scotia on Canada's east coast.
Halifax is Atlantic Canada’s Innovation Hub - a leader in the information technology sector with a growing concentration of companies and research organizations focused on analytics innovation.
The Master of Science in Digital Humanities helps graduates from Humanities, Social and Behavioral Sciences programmes to develop digital competencies that will allow them to add digital dimensions to their own domain expertise. It aims to explicitly link these competencies to research questions, case studies and applications related to the domain expertise of the students.
Graduates of this programme will be able to bring their own domain expertise to a significantly higher level of functionality, using digital tools and techniques. Building both on the expertise they obtained from the programme and their prior expertise in Humanities, Social or Behavioral Sciences, graduates will be well placed to open many new digital applications to a much wider community. Moreover, those who wish to move to a professional profile involving more advanced digital competencies, are well prepared to do so.
The programme is organized around a number of clusters of course units. The central clusters are the Application Domains cluster and the Tools for the Digital World cluster. Supporting clusters are the Introductory Digitization Components cluster, the Advanced Digitization Components cluster and the Management Component. The heart of the research activities is situated in the Master’s thesis.
The Master’s Programme is conceived as a one year, international and multidisciplinary advanced master programme (master-after-master). The programme is unique in Flanders and one of only a few in Europe. The programme is firmly framed in an explicit collaboration between the Faculty of Arts, the Faculty of Psychology and Educational Sciences, the Faculty of Social Sciences and the Faculty of Sciences - Department of Computer Science. As such, it is supported by experts in Digital Humanities applications, who supply research expertise for the programme, as well as by experts in digital techniques and tools, who provide a sound technical basis for the students.
Digitization affects in many ways how future scientists in Humanities and Behavioural Sciences will conduct their research. Also, graduates from Humanities and Behavioural Sciences programs enter a professional world in which digitization becomes the standard, be it in publishing, arts, libraries, teaching and many others.
The Master of Science in Digital Humanities program aims to prepare graduates from Humanities and Behavioural Sciences programs for these challenges. It aims to help such graduates to develop digital competencies that will allow them to add digital dimensions to their own domain expertise. It aims to explicitly link this knowledge and these competencies to case studies and applications related to the domain expertise of the students. It will train them to master information structures and functionalities of data, programming structures and technique to produce scripts for digital applications, tools for improving access and interactive use of data and the development of new digital applications. It will train them how to manage projects related to digitization and introduce them to emerging new digital technologies and their applications.
As an advanced master program (master-after master), it is assumed that the students entering this program have already achieved the general academic competencies defined for any master's program. Nevertheless, it is also within the aims of the program to further strengthen these competencies, within the specific context that Digital Humanities offers.
More specifically, graduates understand the basics of Digital Humanities, databases and query languages, scripting languages, the role of IT in management and of some of the emerging technologies in Digital Humanities. They are able to formulate research goals, determine trajectories that achieve these goals, collect and select information relevant to achieve the research goals and interpret collected information on the basis of a critical research attitude. They are able to communicate scientifically. They are able to model a database and use SQL, to use a scripting language, to apply tools for Digital Humanities and to study applications in Digital Humanities. They have the attitudes of valuing and fostering creative, critical and independent thinking, of applying an interdisciplinary and participative approach in innovative development and of striving towards opening the digital world to a broader society.
Academically, researchers in the Humanities, Social or Behavioral Science are confronted with the need to apply digital tools to facilitate and enhance their research. The program enables graduates to enhance their research in the Humanities, Social or Behavioral Sciences through non-trivial uses of digital tools and techniques. This may include modeling and querying databases, accessing data, interconnecting andquerying web resources, extending tools with scripts to provide extra functionality, text-encoding and e-publishing, mining repositories, data visualization, analyzing social networks, adopting, adapting and enhancing e-learning environments, improvingusability of human-computer interaction. As such, graduates are very well placed to take on the challenges that novel research positions require.
Professionally, graduates of the Humanities, Social of Behavioral Sciences enter professional environments where connecting the company’s business with digital tools and techniques has become standard. Here as well, the program enables its graduates to put to use non-trivial digital techniques in their professional occupations, including e-media, publishing, arts, history, culture, music, libraries, e-education or interactions for end-user applications. Thus, graduates who want to pursue a career in the usual sectors for graduates of the Humanities, Social or Behavioral Sciences will be much better prepared to cope with the digital techniques that are currently applied there.
More generally, graduates of this program provide society with professionals and researchers who are able to bring their own domain expertise to a higher level of functionality, using digital tools and techniques. Building both on the expertise they obtained from the program and their prior expertise in Humanities, Social or Behavioral Sciences, are well placed to take part in opening the digital world to a larger community.
Graduates of this program who wish to move to a job profile involving more advanced digital competencies, are prepared to do so and will help to close to gap in an IT-focused labor market. This will require extra training at the company and aims at positions such as project analysts, project managers, service managers.
This degree, offered by the Department of Computer Science and the Department of Economics, allows you to specialise in modern quantitative finance and computational methods for financial modelling, which are demanded for jobs in asset structuring, product pricing as well as risk management.
Skills that you will acquire include the ability to:
You will be taught by world-leading academics. Research in Machine Learning at Royal Holloway started in the 1990’s, at which time V. Vapnik and A. Chervonenkis (the inventors of Support Vector Machines) were both professors here. We have developed both fundamental theory and practical algorithms that have fed into the analytics methods and techniques that are in use today. Current researchers include Alexander Gammerman and Vladimir Vovk – the inventors of conformal predictors theory, a radically new method of estimating the accuracy of each prediction as it is made – and Chris Watkins, originator of reinforcement learning who developed ‘Q-learning’, a work that is fundamental to planning and control.
Core modules
Optional modules
In addition to these mandatory course units there are a number of optional course units available during your degree studies. The following is a selection of optional course units that are likely to be available. Please note that although the College will keep changes to a minimum, new units may be offered or existing units may be withdrawn, for example, in response to a change in staff. Applicants will be informed if any significant changes need to be made.
Please note that some of these modules may have pre-requisites. During Welcome Week, your personal advisor will help you choose the electives that best suit your background and career ambitions, as well as your timetable.
Teaching is organised in terms of 11 weeks each. Examinations are taken in April/May of each academic year, except for Data Analysis for which the exam is in January. The individual project is taken over 12 weeks during the Summer.
A weekly seminar series runs in parallel with the academic programme, which includes talks by professionals in a variety of application areas as well as workshops that will train you to find a placement or a job and lead a successful career.
Assessment is carried out by a variety of methods including coursework, small group projects, and examinations, the proportions of which vary according to the nature of the modules.
This degree can be taken part-time - visit our website for details
Demand for data scientists is buoyant, in the UK and worldwide, with salaries much higher than other IT professions and at least double the UK average full time wage. All our graduates found jobs at the end of (if not during) their studies.
We bring several companies to our campus throughout the year, both for fairs and for delivering advanced topics seminars, which are an excellent opportunity to learn about what they do and discuss possible placements or jobs. Together with the University’s Careers Service, we offer you workshops and one-to-one coaching that prepare you to find a placement or a job and lead a successful career.
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