Program Overview

Programming for Crime Scientists (SECU0012)

Key Information

Faculty and Teaching Department

The faculty for this program is the Faculty of Engineering Sciences, and the teaching department is Security and Crime Science.

Credit Value and Restrictions

• The credit value for this module is 15.
• This module is restricted to students of the Department of Security and Crime Science.

Alternative Credit Options

There are no alternative credit options available for this module.

Description

The course introduces students to the Python programming language and fundamental concepts underlying programming, including data structures, types, iteration, file input/output, and the use of mathematical and statistical packages. Students will also be exposed to computation methods for analyzing real crime-related datasets, such as survey data, crime reports, and DNA data, through weekly labs.

Module Deliveries for 2026/27 Academic Year

• Intended teaching term: Term 1
• Level: Undergraduate (FHEQ Level 4)

Teaching and Assessment

Mode of Study

• The mode of study is in person.

Methods of Assessment

• 50% Dissertations, extended projects, and reports
• 30% Viva or oral presentation
• 20% Group activity

Mark Scheme

• Numeric Marks

Other Information

Number of Students and Module Leader

• The number of students on the module in the previous year was 89.
• The module leader is Dr. Enrico Mariconti.

Last Updated

This module description was last updated on 10th March 2026.