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CSC-10068 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

For academic year: 2024/25 Last Updated: 14 May 2024

CSC-10068 - Introduction to Data Science With Python
Coordinator: Vishwash Batra Tel: +44 1782 7 33114
Lecture Time: See Timetable...
Level: Level 4
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2024/25

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25


Aims
This module introduces data science, and 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 strong foundation in Python for data scientists.

Intended Learning Outcomes

outline how ethics and compliance affect data science work, and the impact of international regulations (including the General Data Protection Regulation): 1
describe the life-cycle of a data science project in the context of providing an impartial, scientific, hypothesis-driven approach: 1
evaluate a model for bias and prejudice recognising the professional, economic, social, environmental, moral and ethical issues involved: 1

Study hours

16 hours of practical lab classes (supported online and in block release)
16 hours of online lectures
4 hours of tutorials/discussions during the block release
114 hours of independent study breakdown as follows:
57 hours of self-directed reading and learning (approximately 50% of total time)
29 hours of coursework preparation (approximately 25% of the total time)
28 hours on lecture preparation (approximately 25% of total time)

School Rules

None

Description of Module Assessment

1: Coursework weighted 100%
Data Science Project Report
Structured coursework report based on a practical Python data science task applying the theoretical and practical aspects of the module. Students will be asked to describe the project life-cycle approach they have taken; apply data science skills to the task and evaluate the outcome for bias and prejudice. Format and word count will be listed for each section of the report with a total indicative word count of 2000 words, including figures and tables but not including appendices and references.

Please note that for the 2022/23 Academic Year programmes may be adapted to operate in accordance with a flexible, digital approach. This means that there may be some changes made to how modules are delivered and assessed. The latest information will be provided to you by your School in module handbooks. We endeavour to give you as much notice as possible of any changes and 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/student-terms-and-conditions/

Last Updated: 14 May 2024