MIS41150 Intro to Business Analytics

Academic Year 2019/2020

An overview of the field and the programme. This module will feature analytics case studies, and example simulation/role-play to help frame and contextualise discussion of the goals, methods, benefits and limitations of many business analytics techniques.

● What is business analytics?
● The analytics organisation
● What are businesses trying to achieve? (measurement, understanding, prediction, optimisation, decision-making)
● Descriptive, predictive, prescriptive; relationships to other topics in the programme including Business Intelligence, Visual Analytics, Optimisation, Machine Learning and Artificial Intelligence
● Decision theory, utility
● Choosing the right analytics tool for the job
● Security, privacy, ethics

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Curricular information is subject to change

Learning Outcomes:

At the end of this module, students will be able to:
● Define business analytics and explain in detail its roles in the organisation
● Define a number of sub-topics of business analytics and explain how they relate to the organisation’s goals
● Map from verbal descriptions of business problems to appropriate analytics approaches
● Discuss issues of security, privacy and ethics as they relate to business analytics and data.

Student Effort Type Hours


Field Trip/External Visits


Specified Learning Activities


Autonomous Student Learning




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
Examination: Final exam 2 hour End of Trimester Exam No Graded Yes


Carry forward of passed components
Resit In Terminal Exam
Spring Yes - 2 Hour
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Peer review activities
• Self-assessment activities

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Professor Javier Faulin Subject Extern Examiner
Lecture Offering 1 Week(s) - Autumn: Weeks 1-6 Mon 09:30 - 11:20
Lecture Offering 1 Week(s) - Autumn: Weeks 1-6 Tues 09:30 - 11:20

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