The Master’s Programme in Information Systems is a one-year programme, coordinated by the Department of Informatics. The programme is given in English and starts every August.
The programme provides you with outstanding career opportunities. After graduation, you can pursue a career that links technology, people and business. You can seek positions such as: systems architect, IT consultant, IS designer, IT project manager, UX designer, business and systems analyst, business process engineer and business intelligence analyst.
We offer you a world-class programme that provides you with the tools and skills to understand the design of information systems that address important organisational and societal challenges.
In this programme you will learn how information and communication technologies and artificial intelligence can be used to achieve strategic goals, and how to design and develop modern information systems which are flexible to the goals and needs of the organisation. You will gain a deeper understanding of the wider business context of information systems and how digitalisation affects organisations.
The courses are designed to help you practice the theory, models and tools on real and complex problems in information systems, as well as its design and development. You will also learn how to participate in and manage IS-related change and innovation projects in national and international contexts.
In a national audit of degree programmes, our Master’s programme in Information Systems received the highest quality grade available.
Programme modules/courses (7.5 ECTS credits each):
- Business Intelligence
- Business Decision Management
- Human-Computer Interaction Design
- IT, Innovation and Sustainability
- Mobile Industry Dynamics
- Strategic Management and Information Systems
- Designing Digitalisation
- Business Processes and Artificial Intelligence
- Information Systems Research Methods.
The programme ends with a Master’s thesis (15 ECTS credits).
Graduates are in high demand as organisations rely on information systems experts to understand, design and develop systems that help them remain competitive in today's global marketplace.
The Master’s in Information Systems provides you with outstanding career opportunities. After graduation, you can pursue a career that links technology, people and business. You can seek positions such as: systems architect, IT consultant, IS designer, IT project manager, UX designer, business and systems analyst, business process engineer and business intelligence analyst.
Former students have found work at companies such as Goldman Sachs, Tetra Pak, Capgemini, IBM, Microsoft, Sony Mobile, Ericsson, PWC, IKEA, Sigma, Qlick, Accenture and EY. Some graduates have also started their own businesses.
The programme is also an excellent preparation for PhD studies.
- Mixed group of international students
- Capabilities-driven pedagogy
- Received the highest available quality grade in a national audit
- Strong placement rate
- Information Systems
|Presence of students||On-campus|
|Enrollment capacity per term||40|
|Average number of applications per term||500|
Business Decision Management (BDM) is about one of business most important assets – the operational business decisions. Many every day and repeating decisions are made e.g. for:
- Loan application assessments
- Risk assessments for insurance policy applications
- Customer ratings on a web shop
- Taxation in an on-line eService for income tax return
- Claim benefits
- Acceptance of orders and payment
- A diagnosis, such as vaccination status
Some of these decisions are made manually, but many more are automated in information and IT systems. We meet these decisions when we buy things on the web, book flights, make hotel reservations, hire a car, and so on.
BDM is tightly connected to Business Processes Management. Business Process Management is about changing or designing business processes. Business Decision Management takes responsibility for all the operational business decisions that a business process requires to function according to business goals.
Automation of operational business decisions – decisioning – in BDM applies Business Rules Management (BRM) and BRM systems for finding, authoring, managing and executing business rules (BR). In BDM business rules are subordinate to decision management and the decision requirements give the context and raison d´être of the BR. Many branches of society, especially banking, insurance and the public sector are rule heavy and already use rule-based decisioning. In Sweden, we can for instance fill in our tax return using digital services, which are based on rule-based decisioning. In the USA, an example of a major user of decisioning and support technology is IRS.
During this course, you will work both theoretically and practically with the concept of BDM. You will design decision requirement models and business rules to automate decisions in processes using professional technologies: Visual Paradigm, IBM Operational Decision Manager, and DecisionsFirst Modeler. The course is at the edge of development and technology, and represents unique knowledge that only a very few institutions around the world can and do teach.
You will meet industry expert James Taylor (http://expertfile.com/experts/james.taylor) live or on-line. You will also meet Lucas van Biert, a former INFN50 student and now BDM professional. They will provide expert insights and industry experience on BDM.
BDM is an approach drawing heavy industry interest. Through this course, you will have the possibility to acquire highly specialized and unique skills with high market value.
The course concentrates on design of Business Intelligence (BI) solutions. BI is a broad category of applications, technologies, and processes for gathering, storing, accessing, and analysing data to help business users make better decisions and take actions.
The students should acquire knowledge on how to design BI solutions for different BI targets. Three specific BI targets can be identified:
- point solutions, single or a few related applications,
- enterprise-wide BI, providing organisational BI infrastructure, and
- BI to support organizational transformation, enabling new business models.
The BI targets differ in terms of their focus; scope; level of sponsorship, commitment, and resources required; technical architecture; impact on personnel and business processes; and benefits.
Issues related to BI data management (from separate BI databases to real-time data warehousing), meta-data, data quality, BI governance, and BI benefits are addressed. Contemporary BI trends will be covered. The trends include, scalability (more data, more users, and more complex queries), pervasive BI, operational BI, and the BI-based organization (how organisations can compete on analytics).
From the perspective of Business Processes (BP) being the nerve system of a business, all organisations are affected by and dependent on BPs, their design and digitalisation. Most of today’s managerial work requires knowledge and toolsets to manage BPs and business decisions to be supported by and automated through Artificial Intelligence (AI). Moreover, to get real business value from AI, businesses must focus their efforts in AI on improving business decisions.
This course aims to provide an insight into designing the Business Processes, business decisions and Artificial Intelligence that are building today’s businesses.
On completion of the course, students shall have a thorough understanding of how BPs, business decisions and AI shape today’s businesses and their design. Students shall be able to identify problems that can be solved by, or decisions that can be made or supported by AI in a business process and be able to implement solutions to aid the aforementioned.
The course focuses on the challenges that digitalisation in terms of Business Processes and Artificial Intelligence poses in the modern organisation. To properly manage BPs and business decisions, both managerial and technological aspects must be considered in conjunction. By studying theories on Business Processes, business decisions and Artificial Intelligence and through hands on workshops, the course focuses on how AI and decision management alters internal and external processes within and across organisations.
There are few organisations today, private and public, that are not somehow affected by digitalisation. Most of today’s managerial work requires knowledge and toolsets to manage the different aspects of the omnipresent reshaping of the organisational landscape that is digitalisation.
Digitalisation, however, has different meanings for different stakeholders in any given organisation and it may span from automation to transformation of core processes. Digitalisation have the power to disrupt established business models and to create new, never before seen, business models.
This course aims to provide an insight into the technological and managerial landscape that information technologies are building today.
On completion of the course, students shall have achieved a thorough understanding of how digitalisation affects organisations.
The course focuses on the challenges that digitalisation poses in the modern organisation. To manage digitalisation, both managerial and technological aspects must be considered in conjunction. By studying theories on digitalisation and analysing cases, the course focuses on how information technology alters internal and external processes within and across organisations and society.
“User-centred is off centre” might at first seem counter-intuitive to the traditional notion of user-centred design as means of matching available technology with user wants. However, the HCI-design course takes on the challenge of moving beyond traditional basic means of designing associated with introductory and traditional HCI-courses.
Strengths and weaknesses of traditional HCI are critically examined in the intellectual and reading-intense first section of the course. This part seeks to activate the participants to formulate updated, relevant and independent points of view regarding the production and consumption of technology.
The later, practical part of the course is heavily influenced by the classroom practices associated with art and design schools. Working with several shorter and intense design projects, the traditional student-teacher relationship is depreciated in favour of tight interaction between the course participants. Building on ‘critique sessions’ as means to encourage and develop ideas is also a central theme to ensure an understanding of technology-consumer needs rather than capturing user wants.
Successful completion of the course will enhance both your individual creative problem-solving skills and your ability to contribute to the professional and academic debate on aspects concerning the relationship between humans and computers.
This course provides you with knowledge of how to plan, carry out and report design and social science investigations and studies. You will learn how to deal with both qualitative and quantitative as well as design science research methods for social science research studies and for professional investigations.
We start with an overview of different assumptions concerning the nature of the world and our knowledge about it, as well as the purpose of research. This is then discussed in relation to various research methods and techniques within the area of Information Systems (IS). The course also brings to the fore the issue of how to plan and carry out research within the IS area, as well as how to write up research, i.e. the written presentation of research results.
The course is designed to enhance the knowledge of research methods on both a practical and a theoretical level, including lectures and seminars in which you get to practice the roles of a seminar leader and a presenter, and workshops in which you practice analysing empirical data.
The course is examined through group reports as well as through an individual report in the form of a research plan.
This course examines how information and communication technology (ICT) can be used as a tool that enables evaluation and innovation in how organisations communicate and optimize environmental performance. The course further discusses sustainability from a green IT perspective. The aim of the course is an increased understanding of how sustainability ICT and innovation can – and should – interact. By achieving the course objectives, the student will gain the ability to understand how companies can increase IT effectiveness and efficiency and thereby lower their carbon footprint. The successful student will also be able to discuss IT’s role in any formal sustainability programme.
The Master Thesis involves independent work in teams of two students addressing a research problem. This is an independent piece of work, which means that the student-teams must themselves find a problem-area, they will not be provided with pre-defined problems. The problem-area must be relevant to informatics as a social science, but it may not be any kind of problem within the social sciences. Next the student-team must formulate a research-question and present a relevant theoretical framework, which provides the basis for planning and conducting an empirical investigation, and the student-team must also draw conclusions from the empirical investigation and the theoretical framework. Finally the investigation and the findings must be presented in a written thesis, which is examined at a seminar.
In your thesis you will use quantitative or qualitative approaches, or some combination of these. The course on Informaiton Systems Research Methods provide you with the appropriate knowledge and tools.
The objective of the course is to provide a thorough overview of the landscape and commercial dynamics of the mobile industry – from the old world of network equipment and telecom operators to the new software-driven world of mobile platforms and developer ecosystems. Within the wider ICT landscape, the mobile industry is moving faster than any other sector. In the wake of this development, old technologies such as the Wintel PC and old business models are being disrupted by the ongoing convergence between mobile, IT, electronics and multimedia. As smartphones and tablets replace the PC, whole new market sectors, services and business models are created, centred on mobile platform ecosystems such as Apple’s iOS and Google’s Android.
Topics covered in the course include the competitive technology landscape, the dynamics and culture of handset manufacturers and network operators, the regional market differences, the business models of dominating players such Google, Apple, Samsung, Microsoft, Facebook, Amazon and others, the dynamics of the application market, the developer economics and the trends that are shaping the convergence of mobile, IT and the Internet. These topics are grouped in the following themes which will be presented during the course:
- History and background of the mobile industry
- Theoretical perspectives of innovation, disruption and modularity applied to the mobile industry
- The mobile value chain
- Handset OEM disruption
- Ecosystem engineering and economics
- Developers and app economics
The course aims to help participants respond to the challenges of the information revolution. How will advances in information technology affect competition and the sources of competitive advantage? What strategies should a company pursue to exploit the technology? What are the implications of actions that competitors may already have taken? Of the many opportunities for investment in information technology, which are the most urgent? To answer these questions, one must first understand that information technology is more than just computers. Today, information technology must be conceived of broadly to encompass the information that business creates and uses, as well as a wide spectrum of increasingly convergent and linked technologies that process information. In addition to computers, then, data recognition equipment, communications technologies, factory automation, and other hardware and services are involved.
- Introduction – strategy and information technology
- Using information technology for competitive advantage
- Creating and sustaining competitive advantage with information technology
- Formulation of information systems strategies
- Implementing information technology strategy
- Strategy and organisation
Teaching methods and examination:
- Case studies and guest seminars with experts from industries and enterprises
- Written test and assignments