CS350-30 Data Science Project

Academic year
Computer Science
Undergraduate Level 3
Module leader
Ranko Lazic
Credit value
Module duration
22 weeks
Study location
University of Warwick main campus, Coventry
Introductory description

The 3rd year project is an extended, individual piece of work which forms a core element of the Data Science degree. Students choose a topic and find a supervisor in the summer term of their 2nd year.

This module is not available to students from other departments.

Module aims

To provide experience of undertaking a significant individual research or development exercise from conception through to design, execution and delivery.

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

Students select a project during Term 3 of the second year by submitting an outline of the proposed project and finding an academic member of staff to supervise it. A detailed project specification is submitted during the first term. A written progress report on the current state of the project is submitted later in the first term for 5% credit (combined with the specification). A presentation of the final results of the project is given to the assessors during the second term for 15% credit. A detailed written report of the project is submitted early in the third term for 80% credit. The project is not a taught module but a major design and development exercise for the student carried out under supervision.

Learning outcomes

By the end of the module, students should be able to:

Indicative reading list

Please see Talis Aspire link for most up to date list.

View reading list on Talis Aspire

Research element

The entire project is based around undertaking a significant research exercise from conception through to design, execution and delivery

Subject specific skills

The individual project involves consolidating, combining and applying a wide variety of subject specific skills gained in the rest of the degree course so far.

Transferable skills

Study time

Type Required
Lectures 7 sessions of 1 hour (2%)
Project supervision 20 sessions of 30 minutes (3%)
Private study 283 hours (94%)
Total 300 hours
Private study description

Private study and independent learning in this module includes:


No further costs have been identified for this module.

You do not need to pass all assessment components to pass the module.

Assessment group A1
Weighting Study time
Progress report 5%

Progress report on project totalling 2000 - 3000 words maximum

Oral Presentation 15%
Final Report 80%

Final report on project totalling 12000 - 18000 words maximum

Assessment group R
Weighting Study time
Final Report 100%

Final project report totalling 12000 - 18000 words maximum

Feedback on assessment

Written Specification: Oral feedback from supervisor within 2 weeks of submission.
Written Progress Report: Feedback via Tabula within 20 university working days.
Oral Presentation: Feedback via Tabula within 20 university working days.


This module is not available to students from other departments.


This module is Core for:

  • Year 3 of USTA-G302 Undergraduate Data Science
  • Year 3 of USTA-G304 Undergraduate Data Science (MSci)
  • Year 4 of USTA-G303 Undergraduate Data Science (with Intercalated Year)