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STAT41090

Academic Year 2025/2026

Implementation Project 1 (onl) (STAT41090)

Subject:
Statistics & Actuarial Science
College:
Science
School:
Mathematics & Statistics
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Dr Garrett Greene
Trimester:
Summer
Mode of Delivery:
Online
Internship Module:
No
How will I be graded?
Pass/Fail (GPA Neutral)

Curricular information is subject to change.

This module is the first of three linked project modules to be taken by students on the MSc Data Science (Online).
Over the course of the three modules, students will choose a research question and dataset for their project, complete a number of workshops covering important practical skills, and finally develop a web-based data science application to address their chosen research problem.

In this first project module, students will choose a research question and appropriate dataset, develop a project plan, and complete a video workshop on database structures. Students will then implement their chosen dataset in a structured database.

About this Module

Learning Outcomes:

Students will gain knowledge and experience of Structured Query Language (SQL), and demonstrate the ability to create and query a structured database containing the chosen dataset for their research project.

Students will develop a research question and project plan to be approved by module staff.

Indicative Module Content:

Workshop content:
Creation of structured databases using MySQL
Basics of database structures: tables, variable types, keys etc.
Construction of queries using MySQL syntax
Querying databases through R and Python, using e.g. SQLAlchemy, RSQL

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

50

Autonomous Student Learning

140

Online Learning

10

Total

200


Approaches to Teaching and Learning:
Students will learn through watching online video lectures, and by implementing the skills learned in these lectures in practical projects.

Students will interact with lectureres and tutors through online discussion forums, where they can ask questions, discuss methods and receive advice on their project and analysis.

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
Quizzes/Short Exercises: Quizzes linked to SQL workshop. Week 5 Pass/Fail Grade Scale Yes
20
Yes
Individual Project: Submission of written project plan outlining the student's chosen research question and the accompanying dataset. Week 10 Pass/Fail Grade Scale Yes
40
Yes
Practical Skills Assessment: Implementationof chosen project dataset in a SQL database.
Students will demonstrate ability to create a structured database to be used as part of their future project work.
Week 10 Pass/Fail Grade Scale Yes
40
Yes

Carry forward of passed components
No
 

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

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.