The International Enterprise Information Management MSc is offered as a partnership between Kingston University and Neu-Ulm University and leads to a dual degree from both universities. The programme is designed to develop new knowledge and skills that are particularly important to design and implement information systems strategies in international organisations.
You will have the opportunity to enhance your personal and professional development by studying in both countries together with your colleagues from the other university and by undertaking an international internship in the 'other' country (German students will complete the internship in the UK while UK students will complete theirs in Germany), in an international business organisation.
As a student of this programme you will gain a strong theoretical background which will greatly increase your employability in international information management. The international focus of the programme, in combination with the internship experience opportunity will inform your International Project and enable you to succeed in a global setting.
The programme is delivered in both countries in English (the first teaching block at Neu-Ulm University and the second teaching block at Kingston University).
|Full time||18 months||Two 30-credit modules per teaching block||September 2020|
Please note: this programme is only offered to home/EU students.
|Location||Penrhyn Road (Kingston University) and Neu Ulm University, Germany|
The study includes fundamental elements of business organisations and an understanding of the strategic value of information systems (IS), its design and architecture and its role in the efficiency of complex international customer oriented operations. On completion of the taught modules you will have an opportunity to spend six months on an internship in industry, which is one of the key attractions of the programme.
Typically the programme will be delivered according to the following plan:
Students are introduced to the management of information systems (IS) on a company-wide level. This includes the planning, design and development of IS, as well as the necessary concepts, methods and tools. Also, related activities and concepts such as advanced project management and business-consulting methods are part of this module.
With respect to enterprise IS as a subject of scientific research, you are introduced to scientific work in general and in particular to the domain of IS research (ISR) and the related questions and activities.
Students are introduced to business strategy, business intelligence and organisational performance. You will learn to lead an enterprise in the intended direction with the support of corporate performance management (CPM), as measures and measurement systems are the foundation of returning values to investors and owners of enterprises.
In this context, you will familiarise yourself with business analytics and business intelligence (BI) and learn how to define a business intelligence strategy. As a prerequisite to successful BI and CPM, data management and data quality play an important role. You will develop an understanding of the practices and processes of data quality assessment and improvement as well as to manage the increasing amount of data and use it as competitive advantage. Furthermore, you will get familiar with BI architecture and the technical, organisational, and entrepreneurial requirements for a successful implementation.
The module focuses on various components of modelling an Enterprise Architecture. It deals with modelling the business and the underlying information and software system to support the business. It follows the object-oriented paradigm for the development lifecycle, and utilises UML as the modelling language. Indicative contents include aspects of enterprise architectures, business analysis, business modelling, business process reengineering, requirements engineering, object oriented concepts and principles and UML.
On successful completion of the module, you will be able to:
This core module looks at ways organisations manage, store and secure data. Different approaches and methods will be explored to model data requirements into entity-relationship diagrams, logical diagrams and normalisation.
On successful completion of the module, you will be able to:
This module is a stand-alone, non-credit bearing module for the International Enterprise Information Management MSc. The module is taken as an industry-based internship and it does not contain a taught component. The module aims to provide you with a unique opportunity to acquire professional experience in an international working environment and give them access to a variety of professional practices. The relevant information is provided via StudySpace, in the Internship Guide and in the Course Handbook. During the course of the internship you are required to maintain regular meetings with your internship supervisor as described in the Internship Guide and in the Course Handbook and to keep a record of these meetings and of progress.
This module constitutes the major individual piece of work of the International Enterprise Information Management MSc where you carry out a project involving independent critical research, design and implementation (where applicable), inspired and informed by the internship experience or, exceptionally, by an industry-based case study. The internship (or the case study) prepares you for the International Project module and informs the creation of the project proposal.
The information above reflects the currently intended course structure and module details. Updates may be made on an annual basis and revised details will be published through Programme Specifications ahead of each academic year. The regulations governing this course are available on our website. If we have insufficient numbers of students interested in an optional module, this may not be offered.
The programme is only offered to home/EU students.
Applicants are normally required to fulfill the admission criteria of both Kingston University and Neu-Ulm University, as follows:
A good UK honours degree (minimum lower-second class honours (2:2), or equivalent); this amounts to 180 ECTS points, and should be supplemented by one of the following experiences:
Applicants need to have basic computer science and information systems skills reflected in their course transcript.
Non-German applicants will be required to provide a German language skills certificate equivalent to the B1 level, according to the joint European reference frame.
In order to complete your programme successfully, it is important to have a good command of English and be able to apply this in an academic environment. Therefore, if you are a non-UK applicant* you will usually be required to provide certificated proof of English language competence before commencing your studies.
For this course the minimum requirement is Academic IELTS of 6.5 overall with 6.0 in Writing and 5.5 in Reading, Listening and Speaking.
Applicants who do not meet the English language requirements may be eligible to join our pre-sessional English language course.
Please make sure you read our full guidance about English language requirements, which includes details of other qualifications we'll consider.
* Applicants from one of the recognised majority English speaking countries (MESCs) do not need to meet these requirements.
When not attending timetabled sessions you will be expected to continue learning independently through self-study. This typically will involve reading journal articles and books, working on individual and group projects, undertaking preparing coursework assignments and presentations, and preparing for exams. Your independent learning is supported by a range of excellent facilities including online resources, the library and CANVAS, the online virtual learning platform.
As a student at Kingston University, we will make sure you have access to appropriate advice regarding your academic development. You will also be able to use the University's support services.
14% of your time is spent in timetabled teaching and learning activity.
Assessment typically comprises exams (egtest or exam), practical (eg presentations, performance) and coursework (eg essays, reports, self-assessment, portfolios, dissertation). The approximate percentage for how you will be assessed on this course is as follows, though depends to some extent onthe optional modules you choose
We aim to provide feedback on assessments within 20 working days.
You will be part of an intimate cohort of students which provides dedicated academic guidance and advice as well as the opportunity to build a life-long network of colleagues. Some modules are common across other postgraduate programmes therefore you may be taught alongside MPharm students..
This course is delivered by the School of Computing and Information Systems in the Faculty of Science, Engineering and Computing.
The Faculty's wide selection of undergraduate and postgraduate courses covers a diverse range of subject areas, from aerospace to geography; from mathematics and computing to biotechnology; and many more. Our collaborative set-up provides new opportunities for our students, and we design our courses with industry professionals to ensure you stay up to date with the latest developments.
The School of Computing and Information Systems offers high-quality undergraduate and postgraduate courses, designed to reflect the developing needs of business and industry. We deliver our teaching in an exciting and challenging learning environment, and make use of modern, well-equipped facilities.
Our courses cover the range of modern technologies in computer science, information systems and software engineering, with specialisations in games technology; network and wireless technologies; information security; electronic business; and embedded systems.
Postgraduate students may run or assist in lab sessions and may also contribute to the teaching of seminars under the supervision of the module leader.
Kingston University offers a postgraduate Annual Fund scholarship.
There are also the following discounts for Kingston University alumni:
There is a wide range of facilities at our Penrhyn Road campus, where this course is based. You will have access to a modern environment with the latest equipment, including:
Our dedicated team of IT technicians support the labs and are always on hand to provide assistance.
Kingston is just a 30-minute train journey from central London. Here you can access a wealth of additional libraries and archives, including the British Library and the Institute of Engineering and Technology.
The demand for IS specialists and consultants is fast-evolving and this programme, with its balance of theory and applied specialist learning, its international nature and especially its international internship opportunity prepares graduates well for the senior technical and management positions in a range of fields such as:
The Faculty of Science, Engineering and Computing has a specialist employability team. It provides friendly and high-quality careers and recruitment guidance, including advice and sessions on job-seeking skills such as CV preparation, application forms and interview techniques. Specific advice is also available for international students about the UK job market and employers' expectations and requirements.
The team runs employer events throughout the year, including job fairs, key speakers from industry and interviews on campus. These events give you the opportunity to hear from, and network with, employers in an informal setting.
On the course you will have an opportunity to spend six months on an internship in industry. The objective of the internship (to be followed by the International Project) is to provide you with hands-on experience of the way that information systems (IS) are applied into real international business case scenarios. It is envisaged that the UK students will undertake their internships in Germany and the students from Germany will undertake their internship in the UK thus gaining an experience in a different business culture.
Kingston University and Neu Ulm University have secured a pool of industrial partners willing to take part in this programme. They include companies such as Apple, Sony, Disney, Newedge, Marsh McLennan, Ernst & Young, Royal Bank of Scotland and NTT Data. Both institutions endeavor to continuously expand the pool of companies willing to participate, but the internship is not guaranteed to a student, as such. All students have an opportunity to apply for it and this will be greatly encouraged. The internship is not credit bearing, but significantly impacts on the International Project work and it is subsumed in the 60-credit value of that module. Placement supervisors – members of staff involved in the programme – will be responsible for monitoring the quality of the work, as described in the job template for each placement, in accordance with Kingston University processes and clearly specified within the liaison agreement to ensure the quality of the internship supervision.
Many of our staff are research active. This ensures they are in touch with the latest thinking and bring best practice to your studies.
The Digital Information Research Centre at Kingston University is dedicated to the advancement of the theory and applicability of computer science to enable internationally leading work in the field of informatics, addressing the needs of society in the thematic areas of health, communications, security and data. It provides an inclusive and outward-looking environment for research development, fostering interdisciplinary and multidisciplinary research to achieve maximum impact in real-world applications.
Since 2009 researchers in the Digital Information Research Centre have generated more than 650 academic publications, received £4million of external research income and supported a PhD population of 120. Research funding has been received from a wide range of sources, including UKRC, EU FP7 and H2020, KTP, Innovate UK and industrial sponsors. A strong contribution to the REF 2014 submission was made by researchers in the School, with a rank achieved of 57% nationally, and with an overall score of 90.2% of the national average. Overall, more than 50% of the research was judged to be 3* or above.
The scope of the research within the Digital Information Research Centre is substantial. It is envisaged that research can be developed to further the excellence already achieved. Collaborative effort on research projects, both inside and outside the University, will help to achieve this overall aim.