2025/26 Undergraduate Module Catalogue

NATS2360 Interdisciplinary Skills and Programming for Natural Scientists

20 Credits Class Size: 100

Module manager: Paul Beales
Email: p.a.beales@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2025/26

Module replaces

NATS2100 & NATS2300

This module is not approved as a discovery module

Module summary

This module highlightsthe skills and professional benefits of interdisciplinary science training. Scientific programming skills will be developed and seminars on interdisciplinary research in Leeds will form the basis for skills training, including scientific literacy skills in literature searching, scientific writing for a general audience and scientific ethics. Careers planning and professional development training will equip students to reflect on the skills gained and plan the next steps in their academic and professional careers.

Objectives

This module aims to develop interdisciplinary, transferable and employability skills for Natural Sciences students. This will combine exposure to current interdisciplinary research, scientific literacy, scientific and professional ethics, scientific programming, personal development, and planning skills.

Learning outcomes

On successful completion of the module students will have demonstrated the following learning outcomes:

1. Engage with relevant literature in a systematic and selective way to extract scientific information, to locate primary literature and carry out citation searches, and use the literature as an integral part of scientific communication skills.
2. Navigate and utilise advanced digital information tools in a systematic way to source and collate information and data. Carry out citation searches. Select, summarise and interpret primary literature on a specific topic, citing and referencing the sources used.
3. Demonstrate an awareness and understanding of interdisciplinary topics in modern scientific research through a report on interdisciplinary research topics. 
4. Search scientific literature for relevant information and communicate scientific ideas and concepts to a general audience. 
5. Develop programming skills in Python to solve computational problems relevant to the Natural Sciences.

Skills Learning Outcomes

On successful completion of the module students will have demonstrated the following skills learning outcomes:

A) Recognise their professional development needs through a process of self-analysis and reflection.
B) Collaborate and work successfully in a group environment and with others in a professional manner, contributing positively and flexibly to team outputs.
C) Reflect on progress and adapt action plan. Plan and manage their own and group work effectively.
D) Communicate effectively using appropriate presentation skills such as written, oral and other presentation methods, selecting appropriate content, media and methods for the audience, purpose and subject.
E) Realise the nature and value of their own and other's intellectual property, and the importance of managing and curating data.
F) Recognise and constructively use career management tools, including CVs, application forms and interview preparation.

Syllabus

Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.

Methods of assessment
The assessment details for this module will be provided at the start of the academic year

Teaching Methods

Delivery type Number Length hours Student hours
Lecture 4 1 4
Lecture 20 2 40
Seminar 2 2 4
Private study hours 152
Total Contact hours 48
Total hours (100hr per 10 credits) 200

Reading List

There is no reading list for this module

Last updated: 30/04/2025

Errors, omissions, failed links etc should be notified to the Catalogue Team