CSC-10058 - Introduction to Data Science I
Coordinator: Peter Wootton Tel: +44 1782 7 33767
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2022/23


Available as a Free Standing Elective






Barred Combinations


Description for 2022/23

This module introduces data science, its relationship with business analytics, statistics, machine learning and artificial intelligence. It outlines the key terms and skills required by a data scientist and provides a foundation in the tools that are required to apply such skills.

Intended Learning Outcomes

Collect, clean and organise sets of data from the real world.: 1
Identify methodologies and tools for extracting information from data.: 1,2
Demonstrate different visualisation techniques in order to present information from data.: 1
Form hypotheses and inferences that relate to real-world problems.: 2

Study hours

Lectures: 24h
Practicals: 22h
Exam: 2h
Independent study: 102h

School Rules


Description of Module Assessment

1: Coursework weighted 40%
1500-word report on a data science task where students will be given a set of raw data to operate on. Students will be expected to extract the right data from the given set (thus demonstrating what they would choose to collect in the first place), use appropriate methods to clean and organise the data and then apply basic data mining methodologies in order to extract information that would aid the solution of the given problem. Finally the students will choose appropriate visualisation techniques to present the information extracted.

2: Exam weighted 60%
2-hour unseen examination
2-hour unseen examination. Students will pick 2 questions from 3.