Data Management Systems Course Descriptor

Course Summary

This course explores how a wide range of enterprises around the world use information and information technology to create better managed, more innovative, and successful organisations. Today’s business leaders must have ready access to timely, accurate, and relevant information to manage effectively in the global economy. Learners will have the opportunity to apply their knowledge of data management systems using industry-standard cloud-based technology e.g. using ServiceNow training.

Course Aims

• Train learners in the key terminology and concepts of data management systems.
• Train learners to understand the central role of information management (IM) and information systems in enabling value delivery, performance evaluation, and strategic value identification within and across organizations.
• Give learners the opportunity to explore a variety of enterprises around the world and how they employ IM and IT to automate, informate, collaborate, and innovate.
• Give learners the opportunity to practice applying analytic frameworks for maximizing the return on investment for business information systems. 

Learning Outcomes

On successful completion of the course, learners will be able to:

Knowledge and Understanding

Subject Specific Skills

Transferable and Professional Skills

Teaching and Learning

This is an e-learning course, taught throughout the year.

This course can be offered as a standalone short course.

Teaching and learning strategies for this course will include: 

• On-line learning
• On-line Discussion Groups
• Final project

Course information and supplementary materials will be available on the University’s Virtual Learning Environment (VLE).

Learners are required to attend and participate in all the formal and timetabled sessions for this course. Learners are also expected to manage their self-directed learning and independent study in support of the course.

The course learning and teaching hours will be structured as follows:

• Off-the-job learning and teaching (6 days x 7 hours) = 42 hours
• On-the-job learning (12 days x 7 hours) = 84 hours (e.g. 2 days per week for 6 weeks)
• Private study (4 hours per week) = 24 hours

Total = 150 hours

Workplace assignments (see below) will be completed as part of on-the-job learning.

Assessment

Formative

Learners will be formatively assessed during the course by means of set assignments. These will not count towards the final degree but will provide learners with developmental feedback. 

Summative

Assessment will be in two forms:

Feedback

Learners will receive formal feedback in a variety of ways: written (via email or VLE correspondence) and indirectly through online discussion groups. Learners will also attend a formal meeting with their Academic Mentor (and for apprentices, including their Line Manager). These bi- or tri-partite reviews will monitor and evaluate the learner’s progress.

Feedback is provided on summatively assessed assignments and through generic internal examiners’ reports, both of which are posted on the VLE.

Indicative Reading

Note: Comprehensive and current reading lists for courses are produced annually in the Course Syllabus or other documentation provided to learners; the indicative reading list provided below is used as part of the approval/modification process only.

Books 

• Belanger, F.,  Van Slyke, C. and Crossler, R. E., (2019),  Information Systems for Business An Experiential Approach, Prospect Press.
• Laudon, K. C. and Laudon, J. P., (2019), Management Information Systems: Managing the Digital Firm, Pearson
• Bockij, P. (2018), Business Information Systems: Technology, Development and Management for the Modern Business, Pearson

Journals

Learners are encouraged to read material from relevant journals related to Data Management Systems as directed by their trainer.

Electronic Resources

Learners are encouraged to seek out websites related to Data Management Systems.

Indicative Topics

• An Introduction to Management Information Systems (MIS) and The MIS Integrated Learning Framework
• Assessing the quality and value of information
• Computer Hardware

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