CSC-20083 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

Programme/Approved Electives for 2025/26

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

NIL

Barred Combinations

None

Description for 2025/26

This module offers the opportunity to develop and showcase critical data science knowledge, skills, and behaviours through workplace projects. You will learn to apply data science principles in organizational contexts, apply governance, security, bias, ethics, and compliance, and handle real-world data patterns for decision-making. You’ll also hone your abilities to communicate effectively with diverse audiences, using appropriate support materials and visualizations, and build collaborative relationships at strategic and operational levels.

The goal of this module is to help you learn independently and apply your skills and knowledge effectively in the workplace. In this module you will be given an opportunity to solve a real problem using data from your company, e.g. collecting and processing real data, designing and implementing the data sciences (machine learning, AI techniques, mathematical modelling) methods and tools, applying and evaluating data techniques to solve a real problem. Throughout the semester, you will engage in modules that combine work-related and hands-on learning activities

Intended Learning Outcomes

Apply knowledge, skills, and behaviors of a professional data scientist in a real-work environment to achieve real-work objectives
: 2,3
Analyze and execute a work-based data science project, demonstrating the skills and behaviors needed for planning, including an evaluation of processes followed, and synthesize recommendations for future activities
: 2,3
Evaluate understanding of basic mathematics, statistics, ethics, security, and governance relevant for data scientists
: 1

Study hours

Active learning: 36 hours
Independent learning and meeting with supervisors: 64
Working on workplace project: 150 hours
Report writing: 50 hours

School Rules

None

Description of Module Assessment