MIS4015S Analysis for Business

Academic Year 2024/2025

"In the 21st century, data is ubiquitous. Companies have to constantly adjust to complex, data-driven rapidly changing environments, building capacity and data literacy in both “small data” and “big data”, and creating systems of data collection and analysis. This creates opportunities to turn data into insight, but also to use data to support and promote transparency and accountability.

Data Analysis is the application of statistical techniques to describe and explore a set of data with the objective of highlighting useful information. Data Analysis is used to support evidence-based decision making, and so is a core part of modern business practices.

This module is a foundation in data analysis for business managers, and aims to familiarise you with data analysis techniques, which will serve as a basis for other specialised data-driven subjects, such as Human-Resources, Accounting, Finance, etc.

Show/hide contentOpenClose All

Curricular information is subject to change

Learning Outcomes:

Topics can include (but not limited to):
• Introduction to Probability
• Random Variables and Descriptive Statistics Measures
• Discrete Distributions
• Continuous Distributions
• Inferential Statistics: Population vs. Sample, Sampling Distribution of the Sample Mean
• Confidence Intervals
• Hypothesis Testing
• Correlation and Regression
• Simulation
"

Student Effort Hours: 
Student Effort Type Hours
Specified Learning Activities

80
Autonomous Student Learning

150
Lectures

20
Total

250
Approaches to Teaching and Learning:
• Simulation, problem based exercises, practical use of applications, etc.
 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Exam (In-person): Examination n/a Standard conversion grade scale 40% No

60
Assignment(Including Essay): Assignment n/a Standard conversion grade scale 40% No

40

Carry forward of passed components
No
 
Remediation Type Remediation Timing
Repeat Within Two Trimesters
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Christina Burke Tutor
Ms Michele Connolly Doran Tutor
Soh Cheong Hian Tutor
Shirley Ho Tutor
Rachel Sim Tutor
Chee Shong Tan Tutor
Charlene Tan Puay Koon Tutor
Siti Zarifah Tutor