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MIS41100

Academic Year 2024/2025

Hot Topics in Analytics (MIS41100)

Subject:
Management Information Systems
College:
Business
School:
Business
Level:
4 (Masters)
Credits:
7.5
Module Coordinator:
Dr Debajyoti Biswas
Trimester:
Summer
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

A compressed module that will expose students to cutting edge applications of analytical tools and methods to real-world business problems. The topics in analytics will encompass applications of optimisation methods, Large Language Models, simulations, and heuristics. A detailed literature review on a specific area in analytics based on the student’s choice can lead to a novel research idea, potentially forming the basis of the Capstone project.

About this Module

Learning Outcomes:

On completion of the module students should be able to:

● Describe and distinguish the applications of various analytical tools to real-world business problems
● Apply various analytical techniques and tools to solve business problems.
● Describe in detail a recent line of research in analytics
● Develop a new research idea after studying existing literature in a specific area of analytics.
● Critique research ideas in analytics

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

40
Autonomous Student Learning

100
Online Learning

32
Total

172

Approaches to Teaching and Learning:
The module will consist of approximately 30 hours of in-person sessions over a 3-week period, together with other student learning activities:

group work;
lectures;
reflective learning;
enquiry & problem-based learning.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Report(s): Peer-review of individual assignment. Week 14 Alternative linear conversion grade scale 40% No
20
 No
Group Work Assignment: Groupwork on a real-world business problem applying methods and tools taught in the module Week 12 Alternative linear conversion grade scale 40% No
40
 No
Assignment(Including Essay): A detailed literature review of a specific area in business analytics, leading to a research proposal (4 pages). This is an individual assignment. Week 12 Alternative linear conversion grade scale 40% No
40
 No

Carry forward of passed components
Yes
 

Remediation Type Remediation Timing
In-Module Resit Prior to relevant Programme Exam Board
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 Angel Perez Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Summer Lecture Offering 51 Week(s) - 45 Fri 10:00 - 12:50
Summer Lecture Offering 51 Week(s) - 43, 44, 45 Fri 14:00 - 16:50
Summer Lecture Offering 51 Week(s) - 43, 44, 45 Thurs 10:00 - 12:50
Summer Lecture Offering 51 Week(s) - 43, 44, 45 Tues 10:00 - 12:50
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