NCHNAL473 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. Students 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 students in the key terminology and concepts of data management systems.
• Train students 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 organisations.
• Give students 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 students the opportunity to practice applying analytic frameworks for maximising the return on investment for business information systems. 

Learning Outcomes

On successful completion of the course, students 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

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

Students are required to attend and participate in all the formal and timetabled sessions for this course. Students 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:

● Learning and teaching (6 days x 8 hours) = 48 hours 

● Independent study = 102 hours 

Indicative total learning hours for this course: 150 hours

Assignments (see below) will be completed as part of private study.

Assessment

Formative

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

Summative

The summative assessment will be assessed in accordance with the assessment aims set out in the programme specification.

Feedback

Students will receive formal feedback in a variety of ways: written (via email or VLE correspondence) and indirectly through online discussion groups. Students will also attend a formal meeting with their Mentor. These reviews will monitor and evaluate the student’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 students; 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

Students are encouraged to read material from relevant journals related to Data Management Systems as directed by their Course Leader.

Electronic Resources

Students 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