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Effective information management is key to the success of any organisation. The MBA Information Management develops knowledgeable and capable executives who will become managers in the IT / computing industry, or in companies in other sectors. Read more
Effective information management is key to the success of any organisation. The MBA Information Management develops knowledgeable and capable executives who will become managers in the IT / computing industry, or in companies in other sectors. The aim of the programme is to provide graduates with a range of management knowledge and skills, together with a thorough foundation in information management, information technology, and its commercial applications. The programme includes topical case studies, and reflects contemporary developments within the sector. The course is suitable for graduates in a wide range of disciplines, including Engineering, Finance, Social Sciences and other subjects.

Compulsory Modules:

Organisations and People: This module examines key issues arising from contemporary research in organisational behaviour (OB) and human resource management (HRM). It provides an integrated analysis of management, organisations and people, developing the conceptual, strategic and practical skills necessary for managers in complex, global organisational contexts. Specific topics include:

The nature of organisations
Organisation structures: strategy, design and function, job design
Organisation cultures: values, ethics, norms of behaviour
Theories and models of management: classical and contemporary
Individual differences: perception, learning, motivation, equality and diversity
Groups and teams in the organisation
Managing relationships: power, conflict, communication, engagement
Managers as leaders, people developers, coaches
Managing job satisfaction and performance

International Strategic Management: This module analyses strategic decision-making within business. You will develop a critical understanding of the strategic processes of business management, the interconnections with the functional domains of marketing, human resource management and corporate finance, and the management of knowledge systems. Specific topics include:

Concepts of strategic management applicable to business
Prescriptive and emergent strategies
Strategy implementation through capacity building and resource allocation
Managing, monitoring and reviewing strategic change
Organisational designs for strategic advantage
Human resources strategy, marketing and corporate financial strategy
Organisational learning and knowledge management

Management Research: This module analyses the philosophical basis for research in the management sciences, and examines a number of key methodological issues and approaches. Research designs for both quantitative and qualitative research methodologies are developed, including interviews, case studies, focus groups, surveys and experiments. Specific topics include:

Research methodologies and philosophy: positivism and interpretivism
Qualitative research methods and the search for meaning
Selecting a research strategy and design
Data gathering, documentary records, triangulation and mixed methods
Content analysis, conversation analysis, discourse analysis, grounded theory
Quantitative research design and methodologies
Univariate and multivariate analysis, factor, cluster and discriminant analysis

Web Technologies: This module provides an understanding of the basic technologies and structures for developing web applications, including internet resource creation, search techniques and programming languages for creating web content. You will create and use multimedia content in web applications, and gain familiarity with technologies for creating secure web applications. Specific topics include:

Internet concepts; networks; ISO 7 layer model; basic network architecture; routing; domain names; email; ftp; telnet; HTTP
WWW concepts; Internet resources; URI, and URI resolution, URL, URN; relation to XML namespaces; search engines; search algorithms; search engine optimisation
JavaScript; PHP; CSS; programming tools and environments
Multimedia; WWW support for multimedia; file compression
Internet Security; Cryptography; standards for the Internet; public key systems; signatures; authentication; trust management; electronic cash; security issues; firewalls
Web programming; HTML; XML; form input; CGI scripting; Perl programming

Finance for Managers: This module is designed for those who aim to achieve a basic understanding of financial management and control, and who require an understanding of finance in order to manage an organisation effectively. Financial planning and control are central themes, as well as the appraisal techniques of investment projects. Specific topics include:

Principles underlying the preparation of accounting information
Recording business transactions
Preparation and analysis of financial statements
Preparation of budgets, financial planning and control
Costing methods, uses and interpretation of cost data
Investment appraisal techniques

Databases: This module shows how to design a database and intelligently query a database using SQL; and provides an introductory level of understanding in database systems. A mini project is carried out towards the end of the module. This project allows you to complete the entire development process, from informal user requirements, to ER/EER modelling, transformation into relations, normalisation, and finally to the SQL commands to create and query the database. Specific topics include:

Characteristics of a relational database
ER/EER modelling of simple applications
Relational model and relational algebra
Transformation of an ER/EER model into a relational database
Normalisation techniques
Uses of SQL language to create and query a database

Technologies for Internet Systems: This module introduces technologies and tools for Internet Systems and e-commerce systems. Technologies and structures for developing web applications are examined. Technical issues for implementing an e-system, and commonly-available technology components, are covered. You will implement a practical web based e-commerce system using relevant technologies, taking into account current market implementation. Specific topics include:

e-commerce ideas and concepts
Internet concepts; networks; basic network architecture; routing; domain names; email; telnet; HTTP
Architectures and technologies, e-payment, e-commerce software and hardware, e-security, auctions
Design and implementation: HTML, XML, CSS, JavaScript, DOM, SVG
Research awareness: agent-based e-commerce; web services; grid computing; virtual organisations

Information Systems: This module examines the major types and components of Information Systems, their functions, benefits and limitations. The theoretical underpinnings of Information Systems are analysed. You will study the main business and personal uses of Information Systems, and how such systems are developed, procured and deployed. Specific topics include:

Understanding the nature of organisations and the people within them, and their use of information for strategic business purposes
The influence of human and organisational factors on the successful introduction of information systems
Methods and techniques involved in project and programme management
The importance of business processes and techniques for process modelling

Part 2:

For MBA Information Management, you MUST:

Complete two of the following Applied Business Projects: Business Planning; e-Business and Chain Value; Human Resource Management; International Business; Operations Management; Investment and Private Banking.
Write a Computing project, Software Hut. Software Hut is a project in which students (in groups) analyse, design and implement a software product for an organisation.

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Recognised by the British Computer Society, this Masters programme is designed for students with an Ordinary degree or equivalent in a relevant discipline who wish to upgrade their development skills and qualifications with new technologies and trends. Read more
Recognised by the British Computer Society, this Masters programme is designed for students with an Ordinary degree or equivalent in a relevant discipline who wish to upgrade their development skills and qualifications with new technologies and trends.

About the programme

The programme is designed with significant industrial input to represent the latest developments in computer systems analysis, design and implementation – the main areas of employment in the computing/IT sector. It uses various development tools and environments such as UML, Oracle, IBM Websphere, MS BizTalk, MS ASP.NET, NetBeans, Java MultiPlatform and Android SDK, data management/BI software such as MS Business Intelligence Development Studio, MS Project, and Security Architecture.

You will develop practical skills relevant to modern technologies for various software systems development and management with different devices, enabling you to make an immediate contribution to an organisation’s IT functions.

Your learning

Core modules include:
• Ethics for the IT Professional
• Managing Projects and Security
• Research Design and Methods
• Service Oriented Development

Optional modules (offered subject to demand) include:
• Business Database Applications
• Data Governance and Analytics
• Decision Support Systems
• Enterprise Systems Development
• Interactive Design for Smart Devices
• Mobile Business Technology and Design
• Mobile Networks and Smartphone Applications
• Oracle Database Development – covers Oracle server concepts, Oracle server client applications, (SQL*Plus and Form Developer) environments and concepts, advanced features of SQL and Oracle extensions, and PL/SQL programming language concepts

Full-time students undertake three or four modules and part-time students undertake two or three modules in each trimester. 60 credits are required for a Postgraduate Certificate award and 120 credits for a Postgraduate Diploma award. You will complete an individual MSc project (60 credits) to obtain 180 credits for a Masters award.

Our Careers Adviser says

Graduates are equipped to make an immediate contribution to IT functions within organisations or undertake further research towards a PhD. UWS graduates enjoy careers with IBM, Oracle, J P Morgan, and Bank of Scotland. Their roles include website manager, database developer, software developer, and doctoral (PhD) researcher.

Professional recognition

This MSc is recognised by the British Computer Society (BCS) as partially meeting the educational requirement for chartered IT professional recognition.

Financial support

In session 2015/16 the Postgraduate Diploma element of this programme carried SAAS postgraduate loan funding for eligible students. Check http://www.saas.gov.uk for 2016/17 loan info.

Cutting-edge facilities

As you would expect, we offer access to high-quality computing and state-of-the-art software systems as well as tried and tested in demand technologies such as Oracle, CIW, Adobe, CISCO, SAP and Microsoft.

Research and collaboration

We have a proven track record in knowledge and technology transfer in the form of applied research, training and consultancy. More than 65% of our research outputs were rated as world-leading and internationally excellent in the Research Excellence Framework 2014. We are proud that our research expertise informs teaching and our students are taught by academic staff who are at the forefront of their profession.

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This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community. Read more
This postgraduate Masters course is uniquely designed for both computing and non-computing graduates wishing to pursue a career in data science community.

Data science is at the intersection of the fields of computer science, statistics, and design. In a rapidly evolving world, new types of big data are emerging from mobile devices, sensors, instruments, transactional systems, web logs, social media, the cloud and other sources. Businesses are accumulating big data at a rate that often exceeds their capacity to extract value from it.

MSc Data Science is ideally placed to provide you with technical knowledge and employer-focused skills required in a data scientist role. The course will develop your specialist knowledge of data acquisition, data cleansing, data analysis, information extraction, prediction, visualization, story-telling and explanation.

You'll gain hands-on experience using industry standard tools for data science, business intelligence and analytics including SAS, Tableau MS SQL Server, Oracle Database, and R Programming.

Modules

Research methods and professional issues
Future internet technologies
Statistical analysis and modelling
Business intelligence
Data management
Machine learning
Data mining and analysis
MSc thesis

All modules are assessed by a mix of coursework and examinations.

Teaching and learning

You'll make use of our e-learning suite and learn in a combination of lectures, seminars, workshops and private study. You'll have access to specialist software including Microsoft SQL Server 2012, Netbeans 7.x with Java 7, Oracle, Python, SAS and Visual Paradigm.

Placements

You are encouraged to actively seek placements, work experience and voluntary work during your studies to improve your CV and to give you the opportunity to put theory into practice. Many opportunities are offered through the University's central Employability team, who can support you in finding a placement.

Accreditation

In order to ensure the course runs in accordance with industry recognised standards we are seeking accreditation for both Chartered Engineer (CEng) status as well as Chartered IT Professional (CITP) accreditation by the British Computer Society, the Chartered Institute for Information Technology.

We are also seeking Chartered Engineer (CEng) status with both the Institute of Engineering and Technology and the Engineering Council.

Employability

Career opportunities range from IT services to business consultancy, and this course will prepare you for a career in the business intelligence community working actively with a range of resources including tools from major commercial vendors such as Microsoft and SAS.

As a graduate of this course you should to be able to work within the areas of business intelligence or business and data analytics, in roles such as a business intelligence specialist, data or business analyst or business intelligence developer.

LSBU Employability Services

LSBU is committed to supporting you develop your employability and succeed in getting a job after you have graduated. Your qualification will certainly help, but in a competitive market you also need to work on your employability, and on your career search. Our Employability Service will support you in developing your skills, finding a job, interview techniques, work experience or an internship, and will help you assess what you need to do to get the job you want at the end of your course. LSBU offers a comprehensive Employability Service, with a range of initiatives to complement your studies, including:

• Direct engagement from employers who come in to interview and talk to students
• Job Shop and on-campus recruitment agencies to help your job search
• Mentoring and work shadowing schemes.

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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. Read more
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.

Program Structure

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 smu.ca/academics/msccda-courses.html for course outlines

Benefits of the MSc CDA

- 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)

Why Saint Mary's University

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.

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What is the Master of Digital Humanities all about?. The Master of Science in Digital Humanities helps graduates from . Read more

What is the Master of Digital Humanities all about?

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.

Structure

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.

International and multidisciplinary

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.

Objectives

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.

Career perspectives

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.



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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. Read more
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:

• An opportunity to take a conversion course which is also an accredited course recognised by BCS, the Chartered Institute for IT.

• The opportunity to complement the discipline in which you graduated with the discipline of Computing.

• The facility to tailor the course to your interests by the selection of advanced option modules.

• Flexible choice of project topic, for example: associated with the research activity of the School fulfilling a business need reflecting your own interest.

Structure

You will study core modules to a total of 80 credits, with two optional modules worth a total of 40 credits. Students will also undertake an individual project and dissertation (worth 60 credits).

This course is a full-time programme undertaken over one calendar year. It is also available as a part-time programme over three years, and with placement.

Core modules:

Information Processing in Python
Web Application Development
Object-Oriented Development with Java
Software Engineering
Dissertation

Optional modules:

Computational Systems
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Information Modelling & Database Systems
Visual Communication and Information Design
E-Commerce and Innovation

Teaching

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.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your Personal Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

The School has a formal student-staff panel to discuss topics or issues of mutual interest, in addition we schedule fortnightly informal gatherings over coffee for all students and staff associated with MSc Programmes.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules within the programmes are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The individual project and dissertation will enable students to demonstrate their ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

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.

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This specialist postgraduate degree provides you with high-quality postgraduate training in bioinformatics. It provides a foundation for the development of essential bioinformatics knowledge and skills, as well as an introduction to the emerging field of systems biology. Read more
This specialist postgraduate degree provides you with high-quality postgraduate training in bioinformatics. It provides a foundation for the development of essential bioinformatics knowledge and skills, as well as an introduction to the emerging field of systems biology. The course is run in parallel with an MRes course that includes a larger research component.

The programme is designed for students from a range of scientific backgrounds, who want to pursue research training in the interdisciplinary field of bioinformatics and systems biology. It is relevant to those seeking a future career in both academia and industry.

On successful completion of this programme, students from all backgrounds should be able to:

- Understand the core concepts and statistical fundamentals that underpin the field of bioinformatics, most notably in the area of sequence analysis.
- Program in Python, and design and query databases using SQL. Experience of more advanced programming practices (such as software testing and application development) will also be gained.
- Explain core biological concepts (such as genes and genomes, protein structure and function) and growth areas such as Next Generation Sequencing and (at least at an introductory level) systems modelling.

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With City’s MSc in Information systems and technology you will develop the skills to manage an organisation's IT infrastructure. This postgraduate Information Systems and Technology course is for students who have a keen interest in both information system development and information management. Read more
With City’s MSc in Information systems and technology you will develop the skills to manage an organisation's IT infrastructure.

Who is it for?

This postgraduate Information Systems and Technology course is for students who have a keen interest in both information system development and information management. Students are either in the early stages of their career or have significant work experience in the area and wish to formalise their knowledge.

Students will have curiosity about information and knowledge and will want to learn about managing them in organisations, together with the requisite design and technical skills to meet business requirements.

Objectives

Information systems are a key part of an organisation's IT infrastructure. IT professionals who can manage a business's information resources, and understand the technologies and systems that enable this are key to a modern enterprise's success.

Our postgraduate Information Systems and Technology degree will equip you with the skills to develop and maintain information systems that align with the strategic needs of any organisation.

Rather than focusing on technical issues only, the course combines technological fundamentals with a systematic understanding of IT's broader business contexts, including human and organisational factors. The course exploits City's research expertise in both computing and information management to produce effective professionals with a broad understanding of IT underpinned by a firm grasp of key technical concerns.

Placements

The School of Mathematics, Computer Science& Engineering has been delivering placements in the IT industry for over 20 years.

Academic facilities

The School's computer science laboratories are equipped with the latest up-to-date hardware and software. From Oracle’s leading commercial object-relational database server to PCs with state-of-the-art NVidia GPUs for computer graphics, Microsoft Dynamics, SAP etc you will have access to an array of tools to support your learning.

Teaching and learning

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.

Assessment

We expect you to 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 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 masters 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.

Modules

The postgraduate Information Systems and 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. We teach 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.

With respect to hours please consult the SMCSE programmes office.

Core Modules
-Systems Specification INM312 (15 credits)
-Databases INM343 (15 credits)
-Information and Knowledge Management INM351 (15 credits)
-Research Methods and Professional Issues INM373 (15 credits)
-Information Architecture INM401 (15 credits)

Elective Modules - you may choose three elective modules from the following:
-Information Retrieval INM305 (15 credits)
-Web Applications Development INM316 (15 credits)
-Business Engineering with ERP Solutions INM342 (15 credits)
-Information Law and Policy INM361 (15 credits)
-Project Management INM372 (15 credits)
-Data Visualization INM402 (15 credits) *
-Libraries and publishing in the information society INM380 (15 credits)
-Information Organisation INM303 (15 credits) +
-Business Intelligence and Analytics INM451 (15 credits)

+ Students who take INM303 must also take INM305 as an option.
* Students may only take one of INM402 or INM451 as an option.

Career prospects

City’s Information Systems and Technology MSc graduates are prepared for employment in information systems management roles within large and small organisations including banks, consultancies, the pharmaceutical and IT industries, central and local government and the education and health sectors.

Previous graduates have secured employment in some of the most prestigious companies in the world including Merrill Lynch, Deutsche Bank, Virgin Atlantic, Barclays Capital and the Royal Bank of Scotland.

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Geographical Information Systems (GIS) has grown rapidly to become a major component of information technology, creating distinctive methods of data analysis, algorithms and software tools. Read more

Why take this course?

Geographical Information Systems (GIS) has grown rapidly to become a major component of information technology, creating distinctive methods of data analysis, algorithms and software tools.

This course emphasises the acquisition of practical GIS skills. We use a wide range of industry-standard software tools and a structured approach to the analysis of spatial data through project work.

What will I experience?

On this course you can:

Get hands-on experience of using instruments such as GPS, Total Stations and 3D laser scanners
Be taught by experts, who have extensive industrial and consultancy experience and strong research portfolios
Practise your GIS data collection skills in a range of environments

What opportunities might it lead to?

The wide range of career opportunities across public and private sectors and in university-based research, coupled with the rapid rate of technological change, mean that major organisations and industrial firms are finding it essential to update their skills through advanced study. We therefore aim to meet this demand by tailoring our course to the needs of both regional and national markets.

Here are some routes our graduates have pursued:

Environmental consultancies
Geographical information science specialists
Working for the Environmental Agency
Working for the Ordnance Survey

Module Details

The academic year is divided into two parts. The first part comprises the lecture, workshop, practical and field work elements of the course, followed by a dissertation which will take approximately five months to complete.

Here are the units you will study:

Principles of Geographic Information Science: Beginning with an overview of the development of GIS, the first part of this unit examines data sources and data capture, as well as hardware and software tools. The second part deals with vector-based data structures and data management, followed by vector GIS operations, such as overlay and buffering. You will undertake a project to create a GIS of your own, which may be presented as a seminar session. Practical exercises are undertaken using MapInfo. You will then go on to develop an understanding of raster-based approaches to GIS, cartographic modelling and related areas of image processing which are often applied in remote sensing. Topics include raster data models and data compression techniques, raster GIS and cartographic modelling, imaging systems and image processing, geometric correction techniques and GIS/remote sensing integration in the raster domain. Practical work uses MapInfo, ArcGIS - ArcMap and ERDAS Imagine.

GIS and Database Management Systems: Your major focus on this unit will be the use of industry-standard methods and tools to develop competence in the successive stages of database design, development and implementation. You will have an introduction to data analysis techniques, followed by an examination of alternative types of database system and the rules of relational database design. There is extensive treatment of the SQL query language in standard databases and for attribute query within a GIS. You will be introduced to advanced topics including database programming and computer-aided database design. You will also consider the Object-Relational databases and spatial data types, explore the use of spatial queries using the ORACLE relational database management system and examine procedural database programming and web database connectivity. Practical work for this unit uses the ORACLE relational database management system, running in full client-server mode.

Applied Geographic Information Systems: On this unit you will develop a general, inferential, model-based approach to the analysis of quantitative data within a geographical framework. You will examine a range of underlying concepts including model specification, bias, linearity, robustness and spatial autocorrelation. You will subsequently develop these in the context of a unified framework for analysis. Practical work is based on ArcGIS - ArcMap.

Research Methods and Design: This unit will introduce you to the basic principles of research design and methodology, enabling you to develop a critical approach to the selection and evaluation of appropriate methods for different types of research problem.

Modelling and Analysis and the Web: This unit gives you the chance to consider the use of GIS technology for creating terrain models and explore the basics of photogrammetry, as well as analytical and digital techniques for photogrammetric data capture. You will also look at Orthophotography, LiDAR and RADAR systems. ArcGIS is used for spatial analysis, such as buffering and overlay techniques. You will also explore and exemplify data transfer between GIS software systems and technologies for internet-based GIS.

Dissertation: This provides an opportunity for you to pursue a particular topic to a greater depth than is possible within the taught syllabus. It can take a variety of forms, for example GIS-based analysis of original data sources and digital datasets, case studies of GIS adoption in public or private sector organisations, the development of new software tools/applications or the design of GIS algorithms. The final submission takes the form of an extended written report or dissertation of a maximum of 15,000 words.

Programme Assessment

The course provides a balanced structure of lectures, seminars, tutorials and workshops. You will learn through hands-on practical sessions designed to give you the skills in laboratory, computer and field techniques. The course also includes extensive field work designed to provide field mapping and data collection skills.

The majority of assessment takes the form of practical exercises and project-based activity. This enables you to become familiar with industry-standard software systems and develop your skills by applying your newfound expertise in areas that particularly interest you.

Student Destinations

GIS technology is now very widely deployed in many organisations ranging from utility companies, telecommunications networks, civil engineering, retailing, local and national government, international charities and NGOs, the National Health Service, environmental organisations, banking and finance, and insurance. GIS has become an essential part of the world's information infrastructure.

You can expect to go on to find work in organisations such as local authorities, health authorities, conservation organisations, banks and insurance companies, amongst others. Many of our previous graduates are now employed all over the world, working on a whole variety of GIS-related projects in a very wide range of different organisations and industries.

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The GIS (Geographical Information Science) MSc provides an education in the theoretical, scientific and practical aspects of GIS. Read more
The GIS (Geographical Information Science) MSc provides an education in the theoretical, scientific and practical aspects of GIS. It prepares students for technical and analytical GIS roles and is in high demand; we have very close links with industry and the majority of our students find employment prior to contemplating their degree.

Degree information

Students gain a solid grounding in the scientific principles underpinning the computational and analytical foundations of GISc. Our staff are world-leading experts in the areas of programming location-enabled Apps, spatial and 3D databases, big spatio-temporal analytics, citizen science and and human computer interaction, and the MSc therefore is able to offer a wide range of options and specialisations.

Students undertake modules to the value of 180 credits. The programme consists of four core modules (60 credits), four optional modules (60 credits) and a research project (60 credits). A Postgraduate Diploma, four core modules (60 credits), four optional modules (60 credits), full-time nine months is offered.

Core modules - core modules introduce the theory underpinning GIS, along with programming skills (python) and the basics of spatial analysis and statistcs. You'll learn to critically engage with GIS rather than just pushing buttons - how does the way data is captured and modelled influence the results of your analysis? Do you get the same results from two different GIS packages? Knowing what is inside the 'black box' means you understand analytical results and their limitations.
-GIS Principles and Technology
-Principles of Spatial Analysis
-Mapping Science
-Representations, Structures and Algorithms

Optional modules - term two is where you start to specialise, chosing modules that fit your interests, intended career choice and/or prepare you for your dissertation. At this point you can chose a heavilty technical route (e.g. databases, programming, human computer interaction) a more analytical route (spatio-temporal data mining, network and locational analysis, databases) or a mixture of the two routes. You will need to chose four modules in total. At least 30 credits of optional modules selected from :
-Geographical Information System Design
-Spatio-Temporal Analysis and Data Mining
-Web and Mobile GIS – Apps and Programming
-Spatial Databases and Data Management

Plus no more than 30 credits of optional modules (all term two) selected from :
-Airborne Data Acquisition
-Applied Building Information Modelling
-Network and Locational Analysis
-Image Understanding
-Ocean and Coastal Zone Management
-Positioning
-Research Methods
-Terrestrial Data Acquisition

Dissertation/report
All students undertake an independent research project which culminates in a dissertation of 10,000–15,000 words. Where appropriate, this may be undertaken in conjunction with one of our many industrial partners, including Arup, Joint Research Centre, British Red Cross, Transport for London.

Teaching and learning
The programme is delivered through lectures, practical classes, demonstrations and tutorials, and is supported by a series of external speakers from industry and visits to industrial who give weekly seminars describing how GIS is used in their field as well as what they are looking for when recruiting graduate GIS students. Assessment is through unseen examinations, group and individual coursework, formal and oral presentations, and the dissertation.

Careers

There are excellent employment prospects for our graduates, with starting salaries of around £25,000. Recent GIS graduates have found openings with large engineering design firms (such as Arup or WSP), specialist consultancy firms such as Deloitte or Informed Solutions, in leading professional software companies (such as ESRI or Google), with local authorities, for organisations such as Shell, Tesco, the Environment Agency, Transport for London, NHS and the Ordnance Survey.

Employability
Students will develop specific skills including a fundamental understanding of GIS and its application to real-world problems, through theoretical lectures covering the foundations of the science – how data is captured, map creation, generalisation, spatial data management, spatial analysis, data quality and error, and spatial algorithms. Students will develop strong technical (python, R, Java, HTML, Javascript, SQL) and analytical skills (data mining, human computer interaction and usability), and in order to fully understand the principles behind GIS will make use of multiple GIS packages, both proprietary and free/open source (ArcGIS, QGIS).

Why study this degree at UCL?

This highly regarded MSc has been running for nearly 30 years and is taught by internationally recognised academics. Our specialist GIS laboratory offers the latest open source and proprietary software and our unique dual focus on the computer science and analytical aspects of GIS means that you will be able to develop your skills in multiple directions.

Our close links with industry (a strong alumni group and weekly industrial seminars) mean that you will be able to directly link your classroom learning with your future career as a GIS professional; you can also undertake your dissertation with an industrial partner.

As well as weekly industrial seminars, you will have the option to do an industry-linked project, and you will be able to attend our annual GIS careers event, which is co-organized with the UK Assocation of Geographic Infrormation.

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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. Read more
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

• A conversion course as well as an accredited course recognised by BCS, the Chartered Institute for IT.

• The opportunity to complement the discipline in which you graduated with the discipline of Computing.

• The facility to tailor the course to your interests by the selection of advanced option modules.

• Flexible choice of project topic, for example: associated with the research activity of the School; fulfilling a business need; reflecting your own interest.

• 7-12 month experience as an IT Professional for students who successfully find a suitable placement.

Structure

You will undertake a placement following the taught stage of the course and prior to undertaking your individual project and dissertation. Most students start their placement in the summer of Year 1. The breakdown is as follows:

Year 1: 80 credits core modules, 40 credit optional modules.

Year 2: 120 credits placement, dissertation.
This is a full-time course undertaken over two calendar years. It is also available as a full-time course over one year or a part-time course over three years, both without placement.

Year ONE core modules:

Information Processing in Python
Web Application Development
Object-Oriented Development with Java
Software Engineering

Year ONE optional modules:

Computational Systems
Computer Science Topic 1: Web and Social Computing
Distributed and Cloud Computing
Human Centric Computing
Information Modelling & Database Systems
Visual Communication and Information Design
E-Commerce and Innovation

Year TWO core modules:

Placement
Dissertation

Teaching

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.

Support

As a School, we pride ourselves on providing a supportive environment in which we are able to help and encourage our students.

All students are allocated a personal tutor who will monitor your progress throughout your time at university and will support you in your Personal Development Planning. You will see your Personal Tutor at least once each semester.

Outside of scheduled tutor sessions, our Senior Personal Tutor runs an open door policy, being on hand to advise and respond to any personal matters as they arise.

The School has a formal student-staff panel to discuss topics or issues of mutual interest, in addition we schedule fortnightly informal gatherings over coffee for all students and staff associated with MSc Programmes.

Students are responsible for obtaining their placement. The School actively assists students on “with Placement” courses in finding a suitable placement.

Feedback:

Feedback on coursework may be provided via written comments on work submitted, by provision of ‘model’ answers and/or through discussion in contact sessions.

Assessment

The taught modules within the programmes are assessed through examinations and a wide range of in-course assessments, such as written reports, extended essays, practical assignments and oral presentations.

The placement is assessed through a reflective report that demonstrates that the student has developed skills as an IT Professional.

The individual project and dissertation will enable you to demonstrate your ability to build upon and exploit knowledge and skills gained to exhibit critical and original thinking based on a period of independent study and learning.

Career prospects

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.

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This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality. Read more

About the course

This MSc provides you with the knowledge and skills to effectively develop, apply and research business intelligence systems. These are computerised information systems that enable organisations to gain business intelligence information and typically include some form of data mining functionality.

This course emphasises the concepts and techniques of business intelligence systems and their application and development, which are underpinned and exemplified via the learning of one or more contemporary ‘best of breed’ business intelligence software tools.

Reasons to study:

• Taught by SAS accredited teaching staff
you will be taught by experienced SAS accredited teaching staff providing you with expert knowledge and skills allowing you to work toward your SAS accreditation

• SAS endorsed course
enhance your employability and gain substantial knowledge and skills in SAS business intelligence software leading towards SAS data miner accreditation

• 50 years history of research and teaching in computing technology
benefit from our well established academic expertise and advance your skills in, and knowledge of, developing business intelligence systems and data mining solutions to business problems

• Gain an insight into real world solutions
attend guest lectures and seminars, which will give you a real understanding of the impact of their work

• Excellent graduate prospects
graduates have gone into roles such as BI/SQL developers, logistics data modeller’s and insight analysts at organisations including Cognisco, LLamasoft and Occam DM

Course Structure

Modules

First semester (September to January)

• Fundamentals of Business Intelligence Systems
• Analytics Programming
• Data Warehouse Design and OLAP
• Research Methods

Second semester (February to May)

• Data Mining
• Business Intelligence Systems Application and Development

Plus two from the following list:
• Management of Information Systems
• Human Factors in Systems Design
• Applied Computational Intelligence
• Artificial Neural Networks

Third semester (June to September)

•The individual project module.

Teaching and Assessment

Teaching will normally be delivered through formal lectures, informal seminars, tutorials, workshops, discussions and e-learning packages. Assessment will usually be carried out through a combination of individual and group work, presentations, reports, projects and exams.

Compulsory taught modules give you the opportunity to gain the fundamental knowledge and practices required to apply, develop and research business intelligence systems, while optional modules provide you with chances to study particular aspects of system application and development in more depth.

The individual project module allows you to undertake research into an aspect of business intelligence systems that interests you, and/or to perform appropriate business intelligence development tasks in response to a given practical problem.

Contact and learning hours

Full-time students will normally attend around 16 hours of timetabled taught sessions per week, and can expect to undertake around 24 further hours of self-directed independent study and research to support your assignments and dissertation.

Industry Association

This course was developed and is run in conjunction with SAS. SAS is the world's largest independent business analytics company. It provides an integrated set of software products and services to more than 45,000 customer sites in 118 countries. Across the globe, both the public and private sector use SAS software to assist in their efforts to compete and excel in a climate of unprecedented economic uncertainty and globalization.

To find out more

To learn more about this course and DMU, visit our website:
Postgraduate open days: http://www.dmu.ac.uk/study/postgraduate-study/open-evenings/postgraduate-open-days.aspx

Applying for a postgraduate course:
http://www.dmu.ac.uk/study/postgraduate-study/entry-criteria-and-how-to-apply/entry-criteria-and-how-to-apply.aspx

Funding for postgraduate students:
http://www.dmu.ac.uk/study/postgraduate-study/postgraduate-funding-2017-18/postgraduate-funding-2017-18.aspx

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Artificial Intelligence and Machine Learning, Big Data. New technologies and ways of working are changing the way we make decisions. Read more

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.

Programme structure

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.

Career prospects

Business analytics students often pursue careers as consultants, researchers, managers, and analysts.

Software

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:

  • Excel (using the Solver and Data Analysis Add-Ins) and Tableau for decision making and visual analytics
  • COGNOS and SQL Server for Business Intelligence for analytical processing
  • Apache Hadoop (Map Reduce) with Amazon’s Elastic Cloud or IBM’s Smart Cloud for distributed Big Data analytics
  • SAP for Enterprise Resource Planning
  • R, SPSS and EViews for coding, statistics and forecasting
  • ILOG’s Optimisation Studio (Cplex) for optimisations
  • Matlab for algorithms and programming and Simulink (SimEvents) for simulations
  • Arena (or Simul8) for Discrete Event Simulations

Who we work with

This programme is run in cooperation with IBM.

Educational aims of the programme

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.

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.

Professional recognition

Surrey Business School is accredited by the Association to Advance Collegiate Schools of Business (AACSB) and by the Association of MBAs (AMBA).



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The world is awash with data and much more is on the way, creating a tidal wave of Big Data. Data Engineers develop the infrastructure to store, manage, analyse this wave of data, to bridge the gap between Data and Computer Science. Read more
The world is awash with data and much more is on the way, creating a tidal wave of Big Data. Data Engineers develop the infrastructure to store, manage, analyse this wave of data, to bridge the gap between Data and Computer Science. This unique course will give you the skills you’ll need to succeed as a Data Engineer.

Why study Data Engineering at Dundee?

The role of “Data Scientist” has been described as the “sexiest job of the 21st Century. However, there is a emerging a new role, that of Data Engineer as more companies are realising they need employees with specific skills to handle the amount of data that is being generated and the coming tidal wave from the Internet of Things.

This MSc has been created with industry input to prepare its students with the skills to handle this wave of data and to be at the forefront of its exploitation. Students on the sister programmes (“Data Science” and “Business Intelligence”) have gone on to work for some of the biggest companies in the industry and we are confident that graduates from this MSc will have the same success.

The School of Computing at the University of Dundee has been successfully offering related MSc programmes such as Business Intelligence and Data Science since 2010. These innovative programmes attract around 40 students per year, drawn from across Europe and Overseas.

What's so good about Data Engineering at Dundee?

Our facilities:
You will have 24-hour access to our award winning and purpose-built Queen Mother Building. It has an unusual mixture of lab space and breakout areas, with a range of conventional and special equipment for you to use. It's also easy to work on your own laptop as there is wireless access throughout the building. Our close ties to industry allows us access to facilities such as Windows Azure and Teradata, and university and industry standard software such as Tableau for you to evaluate and use.

Special features

The University of Dundee has close ties with the Big Data industry, including Teradata, Datastax and Microsoft. We have worked with SAS, Outplay, Tag, GFI Max, BrightSolid and BIPB, and our students have enjoyed guest lectures from Big Data users such as O2, Sainsbury’s, M&S and IBM.

You will be able to work with a range of leading researchers and tutors, including top vision and imaging researchers and BI experts. Our honorary staff include legal experts, entrepreneurs and renowned industry experts such as John Richards of the newly formed IBM Watson Group.

How you will be taught

The course will be taught by staff of the School of Computing. Depending on the modules you take this will include Andy Cobley, Professor Mark Whitehorn, and Professor Stephen McKenna.

What you will study

The course will be taught in 20 credit modules with a 60 credit dissertation. Students will require to complete 180 credits for the award of the MSc (including 60 credits for the dissertation). Students completing 120 credits (without the dissertation) will be eligible for a Postgraduate Diploma.

Course content

Each module on the course is designed to give the student the skills and understanding they need to succeed in the Data Engineering/ Science field. Content on the course includes (but is not limited to):

CAP theorem
Lamda Architecture
Cassandra, Neo4j and other nosql databases
The Storm distributed real time computation system
Hadoop, HDFS, MapReduce, and other Hadoop/SQL technologies
Spark and Shark frameworks
Data Engineering languages such as Python, erlang, R, Matlab
Vision systems, which are becoming increasingly important in data engineering for extracting features from large quantities of images such as from traffic, medical and industrial
RDBMS systems which will continue to play an important role in data handing and storage. You will be expected to research the history of RDMBS and delve in to the internals of modern systems
OLAP cubes and Business Intelligence systems, which can be the best and quickest way to extract information from data stores
Goals of machine learning and data mining
Clustering: K-means, mixture models, hierarchical
Dimensionality reduction and visualisation
Inference: Bayes, MCMC
Perceptrons, logistic regression, neural networks
Max-margin methods (SVMs)
Mining association rules
Bayesian networks

How you will be assessed

The course is assessed through a combination of examinations, coursework, presentations and interviews. Each module is different: for instance the Big data module has 40% coursework, consisting of Erlang programming and a presentation on nosql databases, along with an examination worth 60%.

Careers

Our experience suggests that graduates of this course will have most impact in the following areas:

Cloud and web based industries that handle large volumes of fast moving data that need to be stored, analysed and maintained. Examples include the publishing industry (paper, TV and internet), messaging services, data aggregators and advertising services

Internet of Things. A large amount of data is being generated by devices (robotic assembly lines, home power management, sensors etc.) all of which needs to be stored and analysed.

Health. The NHS (and others) are starting to store and analyse patient data on an unprecedented scale. The healthcare industry is also combining data sources from a large number of databases to improve patient well-being and health outcomes

Games industry. The games industry records an extraordinary amount of data about its customers' play activities, all of which needs to be stored and analysed. This course will equip students with the knowledge and skill to engage with the industry.

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The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. Read more
The MSc Computing and Information Systems is designed for those wishing to pursue a career in industry related to developing complex information systems, processing of enterprise data and controlling business processes to guarantee usability, security, manageability and quality of information services according to the modern standards of the cyber age. The focus of the course is on the three recent movements within IT industry: Cloud Computing, Big Data and Internet of Things. The focus of the course is on the three recent movements within IT industry: cloud computing, big data and the internet of things.

More about this course

The course will be based on development tools and software technologies for data, system and service development, Cloud Computing, Big Data, Internet of Things and Information Security. It will also make use of new technologies for integration of embedded devices such as Arduino and Raspberry. Students will be able to choose options from Mobile application development, cybercrime and security, data and visualisation or work related learning before embarking on the project.

The course provides preparation and training which encourages students seeking positions within the financial, retail and entertainment sectors. It incorporates materials for professional training, which prepare you for professional certification in Oracle SQL, Java Enterprise and Hortonworks Data Platform.

The extensive collaboration between the School of Computing and industries in London resulted in numerous Knowledge Transfer Partnerships and Consultancy Projects. These won a number of national awards and made London Met graduates renowned for their high starting salaries. Due to the high demand for specialists in this area, students on the course can rely on help in finding jobs both in the numerous high-tech startups as well as big financial organisations in the City of London.

A range of assessment methods is employed throughout the course:
-Case study reports and presentations
-Computer laboratory workshops
-Individual and group coursework
-Unseen examinations
-In class tests
-Individual vivas

The method of assessment for each module is clearly described in the individual module guide which is made available to the students at the start of the semester. Every module has dedicated website providing students with comprehensive learning/teaching material including workshop exercises. Module leaders use this site regularly to communicate with their students including guidelines on how prepare for assessment, supporting materials, and general feedback.

Professional accreditation

This course is not currently accredited, however, students who wish to pursue professional certification will be assisted to sit the certification exams in Databases, Java Enterprise and Apache Hadoop by Oracle and Hortonworks.

Modular structure

The course has a September start with three semesters spread over one academic year. Each semester is 60 credits with the final semester dedicated to your dissertation.

Indicative core modules:
-Information Systems Development (20 credits)
-Enterprise Software Components and Systems Development (20 credits)
-Information Security (20 credits)
-Datawarehousing and Big Data (20 credits)
-Cloud Computing and Internet of Things (20 credits)
-MSc Project (60 credits)

Indicative optional modules, choose one from:
-Mobile Applications Design and Development (20 credits)
-Cyber Crime and Security (20 credits)
-Data Analysis and Visualisation (20 credits)

Detailed information about the structure and content of the course is provided in the course handbook which will be made available to the students at the start of the course.

After the course

The employment market has an abundance of posts that require skills in the three key areas of this course - Ccloud computing, big data and internet of things. There are many exciting employment opportunities available, including:
-Enterprise Component Developer and System Integrator
-Data Warehouse and Big Data Manager
-Embedded and Mobile Devices Programmer
-Network Security and Cyber Security Consultant

Additionally, the course provides skills for seeking more traditional, but high demand industry roles:
-Software Engineer
-Internet Programmer
-System Programmer
-Database Administrator
-System Administrator

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