Module Descriptors
ESPORTS ANALYTICS
ESPO60002
Key Facts
Digital, Technology, Innovation and Business
Level 6
15 credits
Contact
Leader: Cameron Vanloo
Hours of Study
Scheduled Learning and Teaching Activities: 36
Independent Study Hours: 114
Total Learning Hours: 150
Assessment
  • Coursework - Assignment 3000 words weighted at 100%
Module Details
Learning Outcomes
1) Explain the significance of a range of data and information types to business organisations Knowledge and Understanding
Learning

2) Collect and analyse data in order to understand specific problems within identified organisational situations
Analysis
Enquiry
Problem Solving
Indicative Content
Data and information
• sources of data
• problem-solving and decision-making
• decision-modelling
• quantitative techniques

Techniques for data collection
• sampling
• statistical analysis
• trends and forecasts
• observation
• questionnaires
• interviews
• secondary data collection
• data analysis and evaluation

Patterns in Data
• changes and relationships in data
• forecasting
• correlation analysis
• regression analysis
Assessment Details
Written assignment 3000 words in which students use a range of data that they have collected and analysed, using this as the basis to discuss patterns
Learning Strategies
1x 3 hours Lecture/Tutorial
Texts
EMC Education Services (2015) Data Science & Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data, John Wiley & Sons