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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

BUSI4R115: Data Analytics for Strategic Decision-Making

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 provide an appreciation of predictive and prescriptive business-analytics techniques.
  • To provide knowledge of, and ability to apply, a range of predictive and prescriptive business-analytics techniques.
  • To implement predictive and prescriptive business-analytics models using appropriate software.
  • To show how business analytics can help companies to make better decisions.
  • To provide knowledge of, and ability to apply, storytelling with data to promote data-driven decision-making.

Content

  • Predictive techniques such as simulation, queueing models, and Data Envelopment Analysis (DEA).
  • Prescriptive techniques such as decision analysis and linear optimisation.

Learning Outcomes

Subject-specific Knowledge:
  • By the end of the module students should:
  • Have in-depth knowledge of a range of predictive and prescriptive business-analytics techniques and be able to apply them critically to management problems.
  • Have an understanding of the applicability and limitations of predictive and prescriptive business-analytics techniques;
Subject-specific Skills:
  • By the end of the module students should be able to:
  • Implement predictive and prescriptive business-analytics models using appropriate software packages;
  • Interpret the results of predictive and prescriptive business analytics models and their relevance for companies;
  • Choose appropriate business-analytics techniques for some key management problems.
Key Skills:
  • Effective written communication skills
  • Oral presentation
  • Planning, organising and time-management skills
  • Problem solving and analytical skills
  • Sourcing appropriate data and evaluating evidence
  • Interpreting and using data
  • Selecting appropriate modes of communication
  • Making effective use of communication and information technology
  • Storytelling with data
  • Group work

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

  • This module will be delivered jointly by the Department of Computer Science and the Business School
  • Learning outcomes are met through lectures and computer workshops, supported by online resources. Online resources provide preparatory material for the lectures and computer workshops - typically consisting of directed reading and video content.
  • The formative assessment consists of classroom-based exercises involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module.
  • The summative assessments are an individual video presentation and an individual business analytics project. Both assessments are designed to test the ability to formulate a problem, apply appropriate business-analytics techniques to analyse it, and critically interpret the results obtained.

Teaching Methods and Learning Hours

Activity Number Frequency Duration Total/Hours
Lectures 10 1 a week 2 hours 20
Computer Workshops (max 30 students) 4 1 every two weeks 1 hour 4
Preparation and reading 126
Total 150

Summative Assessment

Component: Coursework Component Weighting: 100%
Element Length / duration Element Weighting Resit Opportunity
Individual Written Assignment 1500 words maximum 50%
Individual Video Presentation 5 minutes 50%

Formative Assessment:

The formative assessment consists of classroom-based exercises conducted during the computer workshops involving individual and group analyses and presentations on specific business situations/problems relevant to the learning outcomes of the module. Oral and written feedback will be given on a group and/or individual 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.