15 Credits AUTUMN

Aims/Description: The emergence of Artificial Intelligence (AI) and Cognitive Computing is causing total reinvention of contemporary enterprises and in particular their business decision making processes. Early adopters of such disruptive technologies gain significant competitive advantage and therefore put pressure on modern organisations to catch up or fade away. This module is designed to equip senior leaders with knowledge of the next generation business information systems, using AI technologies and analytics to understand, reason, and evolve. The main aim of this unit is to elevate managerial performance via the utilisation of cutting edge innovations from the domain of enterprise knowledge engineering.

Staff Contact: MISHKOV LYUBO
Teaching Methods: Lectures, Seminars, Independent Study
Assessment: Course work

Information on the department responsible for this unit (Management School):

Departmental Home Page
Teaching timetable


The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

Teaching methods and assessment displayed on this page are indicative for 2021-22. Students will be informed by the academic department of any changes made necessary by the ongoing pandemic.

Western Bank, Sheffield, S10 2TN, UK