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Durham University

Postgraduate Module Handbook 2021/2022

Module Description

Please ensure you check the module availability box for each module outline, as not all modules will run in each academic year. Each module description relates to the year indicated in the module availability box. Please be aware that modules may change from year to year, and may be amended to take account of, for example: changing staff expertise, disciplinary developments, the requirements of external bodies and partners, and student feedback.

Department: Management and Marketing

BUSI4Q915: Managing Data-Driven Innovation

Type Tied Level 4 Credits 15 Availability Available in 2021/22
Tied to G5K709 Business Analytics

Prerequisites

  • None

Corequisites

  • None

Excluded Combination of Modules

  • None

Aims

  • To introduce the students to the development, drivers, and trends of data-driven Information and Communication Technologies (ICT)-based innovations.
  • To provide students with a critical understanding of the key theories of data-driven ICT-based innovations.
  • To identify the critical challenges for organisations that initiated or adopted data-driven ICT-based innovations to create value and how those can be overcome.
  • To make students aware of the ethical and security implications in managing data-driven innovations.

Content

  • Recent progress of ICT
  • Types of data-driven ICT-based innovation
  • ICT-based innovation strategy
  • Business model generation for data-driven innovations
  • Design and development of data-driven ICT-based products and services
  • Ethical and security implications of data-driven ICT-based innovation

Learning Outcomes

Subject-specific Knowledge:
  • Upon successful completion of the module, the students will:
  • Have a critical understanding of the process of data-driven ICT-based innovation, the drivers, trends and barriers
  • Have a detailed understanding of the role of data-driven ICT-based innovations for creating new business models
  • Have understanding of ethical and security implications of data-driven ICT-based innovations
Subject-specific Skills:
  • Upon successful completion of the module, the students will:
  • Be able to critically examine current and future social and business trends to identify potential opportunities for data driven ICT-based innovations
  • Be able to analyse and critically evaluate the organisations that are leading in developing data driven ICT-based innovation and how they are managing their businesses
  • Be able to identify the underlying drivers and future trends in data driven ICT-based innovations
Key Skills:
  • Effective written communication
  • Planning, organising and time management
  • Problem solving and analysis;
  • Interpreting and using data
  • Making effective use of communication and information technology
  • Group working skills to effectively collaborate with group members and address the problem for the formative assessment case discussions

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

  • Learning outcomes are met through lectures and seminars, supported by online resources. The seminars consist of a combination of taught input, groupwork, case studies and discussion. Online resources provide supplementary material for the lectures and seminars - typically consisting of directed reading and video content.
  • The formative assessment consists of classroom-based exercises, conducted predominantly during the seminars, involving individual and group analysis of specific business situations/problems, simulation exercises and business games relevant to the learning outcomes of the module. Feedback will be given as appropriate.
  • The summative assessments are an individual presentation and an individual written assignment based on a specific topic or scenario in technology innovation. These are designed to test students' skills in problem identification, their theoretical understanding, and their ability to analyse the situation in order to categorise the potential solutions.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures 10 1 a week 2 hours 20
Seminars 4 1 every two weeks 1 hour 4
Preparation, reading and other independent study 126
Total 150

Summative Assessment

Component: Coursework Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Individual written assignment 1500 words 50%
Individual presentation 5 minutes 50% Individual Video Presentation (5 minutes)

Formative Assessment:

A range of formative assessment methods will be used, including case study based exercises, group presentations and group discussions to prepare students for the summative business report. Oral and written feedback will be provided on an individual and/or group basis as appropriate.


Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University


    If you have a query about a specific module or degree programme, please contact the appropriate department. For programmes in the Business School please see the Learning & Teaching Contact List.

    If you have a question about Durham's modular degree programmes, please visit our User Guide. If you have a question about modular programmes that is not covered by the User Guide, or a query about the Postgraduate Module Handbook, please contact us using the Comments and Questions form below.