Business information, and using it to increase profitability, is becoming an ever more essential part of running any organisation. This course will train you to design and develop information management systems and make the best use of them in the workplace – a highly sought-after skill in today's competitive market.
Using business information to increase profitability is vital to running a successful business. Learn how to manage and improve business information systems and practices – a highly sought-after skill in today's competitive market.
The university's close links with industry have allowed us to develop a highly practical course, focusing on the skills employers tell us they want.
We work with companies such as Microsoft and Siemens, and we are a Cisco local academy and a Xilinx university partner – hence providing you access to industry-standard software/hardware, in our award-winning technology centre.
This course is accredited by the British Computer Society for Chartered IT Professional (CITP) status.
On our Business Information Systems Management MSc you will learn how to:
You will learn using the latest relevant technologies, and guest speakers from industry.
We will encourage you to publish your research and present your work at public conferences.
This course is accredited by the British Computer Society for Chartered IT Professional (CITP) status.
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On the MSc Business Information Systems Management, full-time students will complete four taught modules, and after a research project module.
You'll learn the technical skills you’ll need to introduce, manage and improve information systems and knowledge management programmes within an organisation to increase its profitability.
You’ll look at how information systems benefit an organisation, how to assess a company’s IT needs and choose appropriate technologies and methods for setting up a system. You’ll also explore business, management and decision-making theory, recent developments in information systems, and the legal, regulatory, ethical and professional issues surrounding the sector such as consumer protection, privacy, and intellectual property, copyright and trademarks.
This module focuses on the regulation of electronic commerce activities and associated technologies.
It gives you an understanding of regulatory frameworks for electronic technologies and the underlying legal principles that govern electronic commerce.
The module critically examines the role of regulation in the commercial context of electronic transactions and how such regulation applies to these transactions.
Legal and regulatory issues related to intellectual property, conducting business online, privacy, jurisdiction, taxation, cyber crime, dispute resolution are among many topics covered.
In addition to the above, the module covers regulation in the broader context of professional and ethical issues relevant to the use of information technology.
This module will give you an opportunity to:
On completion of this module, the you will be able to:
The main aim of this module is to provide you with the knowledge and skills to better understand the quality management of information systems within organisations.
Once successfully completing the module, you should have an excellent grounding to support further development within industry in information systems quality management, or in job roles such as business systems analyst.
The module covers the different approaches to the software development lifecycle and also overviews the project management lifecycle.
It considers operational business processes within organisations and the impact of change, discussing organisational structures. It includes teaching business process modelling.
The development and key theories of quality management within organisations is presented showing how quality management has evolved since the 1980s.
Various different quality management methods are introduced and their cost-effectiveness is assessed. The quality evaluation and certification of products and processes are also covered.
This module covers the concepts and theories of managing large data, i.e. data warehouse and data mining.
It also explores technologies and algorithms for handling a large amount of data, i.e. data modelling, data projection and data transformation to discover knowledge from large data sets.
The module is designed to apply the theories of decision-making and data analytics using some of the most widely used contemporary methods enabling modern decision support systems.
In particular, the module applies theories and practices of enterprise decision making, for example, statistical modelling, forecasting and trend analysis to tackle the challenges of uncertainty.
It is widely recognised that knowledge has become one of the most important resources in modern economy. However, understanding of how to measure and manage this resource is not straightforward.
Knowledge management is a quickly evolving multidisciplinary field of research combining elements of organisational science, information technology and even artificial intelligence aimed at developing new strategies for management and fostering knowledge in organisations.
To maintain competitive advantage in the knowledge economy, organisations have to invest into these knowledge management strategies.
The aim of this module is to enable you to draw upon the latest theory and practice in knowledge management to be able to assist organisations in developing knowledge management systems that nurture and exploit business, social and technological aspects of the organisation.
To find out more about this course, please download the Business Information Systems Management MSc specification (PDF).
As well as doing practical work in our laboratories, you’ll attend interactive lectures, where your teachers will introduce you to concepts and principles and demonstrate models and tools. You’ll also attend seminars, workshops or tutorials, where you’ll analyse systems, work on real-life case studies and problem-solving exercises, take part in discussions and give presentations. You’ll support this with your own independent study and research. You'll be taught by an experienced teaching team with a wide range of expertise and professional experience.
The number of students in seminars is usually 20-30 students.
You will be based at our north London campus.
In a typical year, you’ll spend about 1200 hours on your course.
Outside of teaching hours, you’ll learn independently through reading articles and books, working on projects, undertaking research, and preparing for assessments including coursework and presentations.
Whether you are studying full or part-time – your course timetable will balance your study commitments on campus with time for work, life commitments and independent study.
We aim to make timetables available to students at least 2 weeks before the start of term. Some weeks are different due to how we schedule classes and arrange on campus sessions.
Each of the four taught modules is allocated 3 hours of teaching per week and 9.5 hours for independent study.
On-campus: This includes tutor-led sessions such as seminars, lab sessions and demonstrations as well as student-led sessions for work in small groups.
Independent study: This is the work you do in your own time including reading and research.
You can also study this course part-time over two years. You will complete two taught modules per academic year.
We have a strong support network online and on campus to help you develop your academic skills. We offer one-to-one and group sessions to develop your learning skills together with academic support from our library, IT teams and learning experts.
You will be assessed100% through coursework and your research project. Assessments may include research papers and extended abstracts, essays, reports, critical analyses of research issues, database exercises, posters, presentations and case study assignments. Some assessed work will be done in groups and you’ll receive regular feedback on all work.
For your independent computing project you will plan, conduct and produce an original piece of research relevant to the industry. You will be assessed on your written report and possibly via an oral examination.
You'll evaluate your work, skills and knowledge and identify areas for improvement. Sometimes you'll work in groups and assess each other's progress. Each term, you'll get regular feedback on your learning.
Students will use up-to-date technologies for teaching and learning including software and labs.
Our library is open 24 hours a day during the term and includes:
We offer lots of support to help you while you're studying including financial advice, wellbeing, mental health and disability support.
We'll support you if you have additional needs such as sensory impairment or dyslexia. And if you want to find out whether Middlesex is the right place for you before you apply, get in touch with our Disability and Dyslexia team.
Our specialist teams will support your mental health. We have free individual counselling sessions, workshops, support groups and useful guides.
Our Middlesex Unitemps branch will help you find work that fits around uni and your other commitments. We have hundreds of student jobs on campus that pay the London Living Wage and above. Visit the Middlesex Unitemps page.
You can apply for scholarships and bursaries and our MDX Student Starter Kit to help with up to £1,000 of goods, including a new laptop or iPad.
We have also reduced the costs of studying with free laptop loans, free learning resources and discounts to save money on everyday things. Check out our guide to student life on a budget.
You will graduate from this course with excellent career prospects for roles such as - IT manager, project manager, business analyst, quality assurance engineer, information systems auditor, or web developer, due to the high demand for well-qualified IT professionals.
Recent graduates have gone on to hold such positions as:
You could also start your own business.
MDXworks, our employability service, will help you make the most of your experience and connections to achieve your career goals. You'll have unlimited access to one-to-one advice and support from specialists in your sector plus 24/7 online support. You can also make the most of events and networking opportunities, on and off campus.
You’ll be studying with students from 122 countries who’ll become part of your personal global network. You'll learn how to work with a global mindset and make invaluable connections on your course for your chosen industry.
The fees below are for the 2024/25 academic year:
Full-time students: £11,000
Part-time students: £73
Part-time students: £37
Full-time students: £17,300
Part-time students: £117 per credit
Part-time students: £59 per dissertation credit
We cover your costs for the day-to-day things that you need to do well in your studies.
The following course-related costs are not included in the fees, and you will need to budget for these:
We offer lots of support to help you with fees and living costs. Check out our guide to student life on a budget and find out more about postgraduate funding.
You may be eligible for one of our scholarships including:
For international students, we also have a limited number of other awards specific to certain regions, and work in partnership with funding providers in your country to help support you financially with your study.
Find out more about our postgraduate scholarships.
Your employer can contribute towards the cost of your postgraduate study as part of their staff development programme.
If you are not currently working, we can help you find work that fits around uni and your other commitments. We have hundreds of student jobs on campus that pay the London Living Wage and above.
1. UK fees: The university reserves the right to increase postgraduate tuition fees in line with changes to legislation, regulation and any government guidance or decisions. The tuition fees for part-time UK study are subject to annual review and we reserve the right to increase the fees each academic year by no more than the level of inflation.
2. International fees: Tuition fees are subject to annual review and we reserve the right to increase the fees each academic year by no more than the level of inflation.
Any annual increase in tuition fees as provided for above will be notified to students at the earliest opportunity in advance of the academic year to which any applicable inflationary rise may apply.
Dr. Carlisle George is computer scientist and lawyer (barrister). He was called to the Bar of England and Wales at Lincoln's Inn (London) and the Bar of the Eastern Caribbean Supreme Court (St Lucia). Among other qualifications, he holds a doctorate (PhD) in Computer Science from the University of London (Goldsmiths), a Masters degree (LLM) in Information Technology & Communications Law from the London School of Economics and a Master’s degree in Business Administration (MBA) from Middlesex University. Dr George has a wealth of experience in academia. At Middlesex, he is an Associate Professor, Programme Leader, Chair of the Computer Science Research Ethics Committee, Convenor of the ALERT (Aspects of Law and Ethics Related to Technology) research group, and Director of Studies (Supervisor) for several PhD students.
Roman Belavkin obtained MSc in Physics from the Moscow State University and PhD in Computer Science from the University of Nottingham. His research interests span several areas including geometric analysis of optimal and learning systems, dynamics of information, value of information, quantum information, topology of information, geometry and combinatorics of mutation and recombination of sequences, optimal control of evolutionary algorithms, cognitive modelling.
Roman joined Middlesex University in 2002, where he participated in several research projects and organized research seminars of the Artificial Intelligence group. Since 2009 Roman has been the Principle Investigator of the EPSRC project `SANDPIT: Evolution as an Information Dynamic System', which was led by Middlesex University in collaboration with Universities of Manchester, Keele and Warwick. Roman's current work is on geometric and dynamic value of information theory, which has applications in parameter control and optimization of learning, adaptive and evolving systems.
Programmer (1982), System Analyst (1985), Licentiate in Computer Science (1992), Ph.D. in Computer Science (1998), M.Sc. in Higher Education Practice (2009).
Prof Augusto is interested in developing innovation of services supported by the use of sensing devices.
Module leader:
Research Outputs and interests:
We’ll carefully manage any future changes to courses, or the support and other services available to you, if these are necessary because of things like changes to government health and safety advice, or any changes to the law.
Any decisions will be taken in line with both external advice and the University’s Regulations which include information on this.
Our priority will always be to maintain academic standards and quality so that your learning outcomes are not affected by any adjustments that we may have to make.
At all times we’ll aim to keep you well informed of how we may need to respond to changing circumstances, and about support that we’ll provide to you.
Start: September 2024
Duration: 1 year full-time, 2 years part-time
Code: PGG42G
Start: September 2024
Duration: 1 year full-time, 2 years part-time
Code: PGG404