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STAT30320

Academic Year 2024/2025

Investment and Trading (STAT30320)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
3 (Degree)
Credits:
5
Module Coordinator:
Dr Colm Fitzgerald
Trimester:
Autumn
Mode of Delivery:
Blended
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module covers investing, investment psychology and trading from both an academic perspective and a practical, real-world perspective.

About this Module

Learning Outcomes:

Upon completion of this module, students will be able to
-understand practical investing, investment markets, investors, investment psychology, trading, investment management and investment consulting

Indicative Module Content:

The module covers material from both academia, professional investment education and real-world materials.

Student Effort Hours:
Student Effort Type Hours
Lectures

24

Tutorial

8

Autonomous Student Learning

90

Total

122


Approaches to Teaching and Learning:
Lectures and tutorials

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
Group Work Assignment: Creating, managing and marketing a hedge fund as part of a team Week 1, Week 2, Week 3, Week 4, Week 5, Week 6, Week 7, Week 8, Week 9, Week 10, Week 11, Week 12 Graded No

50

No
Exam (In-person): End of term exam End of trimester
Duration:
2 hr(s)
Graded No

50

No

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Self-assessment activities

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Dr Monika Smatralova Lecturer / Co-Lecturer