Main Field of Study and progress level:
Informatics: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: VG Pass with distinction, G Pass, U Fail
Responsible department: Department of Informatics
Established by: Head of Department of Informatics, 2017-05-22
The course takes its starting point in that organizations need the ability to both sense and respond to entrepreneurial opportunities and threats, and that this ability is becoming increasingly important because of the ongoing digital transformation. Against this background, the course includes two specific themes, business analytics and organizational change. The business analysis is done through data analysis as analysis of data sets are becoming an increasingly important source of insight into the activities and changes, both internally within the organization and externally. In this course data analysis is treated both from a theoretical and practical perspective as students will work with literature in the field, and practical application of computer software for data analysis. The practical application includes analyzing data from various operations and results in the creation of decision recommendations. The second theme of the course, organizational change, also encompasses a theoretical and practical perspective as students will gain theoretical insights about the subject, and then apply these by developing recommendations for appropriate organizational change and implementation proposals.
Expected learning outcomes
Regarding knowledge and understanding the student is, after the course, expected to be able to:
Describe the process of data analysis in terms of data collection, formatting, visualization, modeling, forecasting and presentation.
Describe and analyze methods and theoretical foundations of organizational change.
Regarding proficiency and aptitude the student is, after the course, expected to be able to:
Perform and document data analyzes that address different types of organizational problems and opportunities.
Analyze and propose organizational changes.
Regarding evaluative capacity and approach the student is, after the course, expected to be able to:
Explain and critically reflect on the role data analysis can play in organizational change.
Explain and critically reflect on the role of methods in organizational change.
Admission to the course requires 90 credits in informatics, computer science, business administration, media and communication studies, pedagogics, psychology, political science or sociology (or equivalent competence). Also required is English B/6.
Form of instruction
Teaching is done preferably in the form of lectures, seminars, group exercises and supervision in connection with self-studies. During the course necessary computer applications, which students shall use on their own, are introduced and maintained. Some assistance is given in the use of these applications. Some teaching moments may be compulsory. Good ability in written presentation and English are important for assimilating the course.
Examination is done by individual assignments, active participation in seminars and group work. Examination assumes good ability in written and oral presentation in English. The grade given is pass with distinction, pass or fail. For students who do not obtain a pass after the first attempt an additional examination is normally arranged within a short time afterwards. Students who do not obtain a pass after two examination attempts are allowed to participate in three further examinations. In order to do so the student must register for the course during the term the examination is given. For additional attempts to pass the exam special dispensation is needed from the director of studies or the student counsellor.
Crediting of a Course An application to transfer credits from previous courses should be sent to the registrar (Registrator, Umeå University, 90187 Umeå). The application is then forwarded to the department of Informatics for assessment. The application must state for which course the credit transfer is requested. Authentic copies of course certificates or equivalent must be presented showing grade, higher education institution, date, field of study, level of study, credit points and so on. Also required is the course syllabus including literature for courses whose credits are to be transferred. For further information see “Transfer of Credits at Umeå University” (DNR: 540-3589-09).
2017 week 35
Data science for business : [what you need to know about data mining and data-analytic thinking] Provost Foster, Fawcett Tom 1. uppl. : Sebastopol, Calif. : O'Reilly : 2013 : xviii, 384 s. : ISBN: 9781449361327 Mandatory Search Album, the University Library catalogue