Nottingham University Business School
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Quantitative Analysis for Business

Please note that the following information may be subject to change.

Programme: Undergraduate

Module Code: N11117

Semester: Spring

Convenor: Roberto Hernan Gonzalez

Credits & Level: 10 credits; Level 1

Pre-requisites: None.

Co-requisites: None.

Target Students: Not available to the Industrial Economics or Finance, Accounting & Management students. Not available to Geography with Business students. Available to all students.

Delivery: 10 two-hour lectures to include 4 one-hour example classes and 3 one-hour computer labs.

Assessment: One 1.5 hour examination (70%); One 2,500 word group project (30%)

Exam Format:Answer question One from Section A and any Two questions from Section B. Paper two contain Five questions. All questions carry equal marks.

Summary of Content This module provides a grounding in practical aspects of quantitative analysis with an emphasis on understanding and analysis of data. Students will learn to apply statistical techniques to formulate and solve quantitative business problems. Students will develop skills in the use of spreadsheets for statistical analysis and in interpreting statistical results. A group project forms part of the assessment allowing students to improve their team working and management skills.

Aims Module provides a grounding in practical aspects of quantitative analysis.

Key Words: Basic statistics, data analysis regression

Learning Objectives & Outcomes Knowledge and understanding
This module develops a knowledge and understanding of:
  • The use of accounting and other information systems for planning, control, and decision making
  • The management of resources
  • The management of quality systems
Intellectual skills
This module develops:
  • The ability to analyse and evaluate a range of business data, sources of information and appropriate methodologies, which includes the need for strong digital literacy, and to use that research for evidence-based decision-making
Professional practical skills
This module develops:
  • Numeracy and quantitative skills to manipulate data, evaluate, estimate and model business problems, functions and phenomena
Transferable (key) skills
This module develops:
  • Statistical techniques and their application in a business context.

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Nottingham University Business School

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