Mathematics and Data Interpretation
This module introduces learners to the essential mathematical, statistical, and data-handling skills required for study across a range of academic disciplines, including Business and Management, Humanities and Social Sciences, Computing and Data, and STEM. It is designed to build students’ confidence in working with numbers, applying mathematical methods, interpreting data, and using quantitative evidence to support problem-solving and decision-making in academic and real-world contexts.
Through practical and discipline-relevant activities, students will develop their ability to perform numerical calculations and apply fundamental mathematical techniques to straightforward problems. Topics such as algebra, equations, ratio, percentages, and introductory trigonometry will support learners in understanding how mathematical knowledge can be used across different subject pathways and professional settings.
The module also introduces learners to foundational statistical concepts and simple data analysis. Students will learn how to gather, organise, interpret, and present simple datasets, using measures such as averages and other basic statistical tools to draw meaningful conclusions. In doing so, they will strengthen their ability to engage with quantitative information critically and accurately.
- Teacher: Dasunmi Dayara
- Teacher: Dhahami Delgahagoda
- Enrolled students: There are no students enrolled in this course.
Essential Skills for Academic Study
The module provides a foundation for higher education by helping students understand academic conventions, disciplinary expectations, and the standards of communication, independent learning, and professional practice required in higher education. Students will develop confidence in using academic English, engaging with appropriate academic and professional sources, and applying accurate referencing conventions in their written and spoken work.
- Teacher: Dasunmi Dayara
- Teacher: Dhahami Delgahagoda
- Enrolled students: There are no students enrolled in this course.
Digital Literacy and Computational Foundations
- Teacher: Dasunmi Dayara
- Teacher: Dhahami Delgahagoda
- Enrolled students: There are no students enrolled in this course.
English for Academic Purposes
On successful completion of this module, you will be able to demonstrate the following:
1. Speaking: Demonstrate fluency and comprehension in spoken standard and academic English.
2. Writing: Produce coherent writing in clear, comprehensible English for different academic purposes, with accurate grammar and an appropriate academic vocabulary.
3. Reading: Read and critically interpret a range of academic texts, identifying key arguments, evidence, and implications, and synthesise information accurately for study tasks.
4. Listening: Demonstrate the ability to comprehend information and speaker stance in academic spoken English and apply effective note-taking strategies to support learning.
5. Progression Readiness (comparable to CEFR B2 level): Demonstrate English language proficiency at a level broadly comparable to IELTS 6.0 overall, with a minimum of 5.5 in each of Speaking, Writing, Reading, and Listening, through assessments aligned to IELTS performance descriptors.
* The CEFR (Common European Framework of Reference for Languages)
- Teacher: Dhahami Delgahagoda
- Teacher: Admin User
- Enrolled students: 1

