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Curricular information is subject to change
On completion of the module students should be able to:
1. Understand the fundamental concepts, terminology, and principles of business analytics.
2. Collect, clean, and transform data into a suitable format for analysis. Perform exploratory data analysis to visualise and interpret data, identify patterns, and generate hypotheses.
3. Summarise and interpret historical data using descriptive statistics and apply predictive modelling techniques to make data-driven predictions and forecasts.
4. Exhibit sound ethical responsibility in the handling of data and adhering to ethical and regulatory standards in analytics projects.
-- Foundational Knowledge
-- Data Understanding
-- Exploratory Data Analysis (EDA)
-- Descriptive and Predictive Analytics
-- Data Visualization
-- Critical Thinking and Problem Solving.
Student Effort Type | Hours |
---|---|
Lectures | 24 |
Small Group | 12 |
Specified Learning Activities | 36 |
Autonomous Student Learning | 40 |
Total | 112 |
MIS20010
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Not yet recorded. |
Resit In | Terminal Exam |
---|---|
Spring | No |
• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment
• Online automated feedback
• Self-assessment activities
Automated feedback on MCQ; Team feedback (Grade plus comment) pre team project, plus general feedback to the class; Solutions to self-assessment exercises on VLE.