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CSC-20095 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2026/27 Last Updated: 17 March 2026

CSC-20095 - Data Science Techniques
Coordinator:
Lecture Time: See Timetable...
Level: Level 5
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2026/27

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

CSC-10070 Introduction to Programming

Barred Combinations

None

Description for 2026/27

The module will introduce a set of techniques for pre-processing and processing of raw data. Students will be able to discuss the relative merits of techniques falling under the same category and be able to select the most appropriate. The module will also touch on the important issues of ethics and security related with the acquisition, storing, processing and dissemination of data and information.

Aims
This module analyses the processes and techniques used to extract information from raw data. The module will also introduce the concepts of ethics and security in relation to collecting, storing and disseminating data and information.

Intended Learning Outcomes

explain the ethical implications of collecting and storing data: 1
evaluate different techniques for processing data in order to identify the best one for the intended purpose: 1
demonstrate appropriate use of data mining, machine learning and AI techniques used for extracting information from data: 1

Study hours

Lectures: 22h
Practical classes: 11h
Revision of lecture materials: 44h
Preparation and revision of practical classes materials: 33h
Working on coursework assessment: 40h

School Rules

None

Description of Module Assessment

1: Assignment weighted 100%
Coursework
Students will be given a problem that will require the use of a supplied set of data. Pre-processing and analysis of the given set will be required in order to prove/disprove a given hypothesis. Students will have to produce a written report (3000 words) explaining their workings and the reasoning/justification behind their work (i.e. their choice of data processing techniques).

The University undertakes a continuous review of its teaching and research provision to ensure programmes are of a high quality and changes may be made to modules where it is necessary and reasonable to do so. Please be aware that minor changes to modules, such as a change to an individual assessment, can occur up until enrolment, although we endeavour to give you as much notice as possible of any changes. Details about the circumstance in which changes are made to programmes can be found in the Student Agreement, available at: https://www.keele.ac.uk/legalgovernancecompliance/governance/actcharterstatutesordinancesandregulations/studenttermsconditions/

Last Updated: 17 March 2026