Measurement in Life Sciences

MQF Level 4

10 ECTS

Measurement in Life Sciences

Module Type
Compulsory
ECTS Credits
10 ECTS

Module Description

This interdisciplinary module introduces key physical and mathematical principles applied in biological contexts. It covers measurement systems, units, data analysis, introductory physics (motion, energy, waves), and basic computing for science. The aim is to develop scientific numeracy, data literacy, and analytical thinking essential for biomedical and health science studies.

Entry Requirement

Candidates who apply must be in possession of at least one of the following:

  • Successful completion of secondary education (equivalent to MQF Level 3), including passing grades in Biology, Chemistry, and Mathematics or a science-related subject.
  • Proof of English language proficiency at IELTS 5.5 (with no individual band lower than 5.0), or an equivalent internationally recognised qualification.
  • Basic digital literacy (e.g., familiarity with using email, online research, and word processing).

Applicants not meeting standard entry criteria may be considered through Recognition of Prior Learning (RPL) in accordance with MFHEA guidelines, where applicable.

This programme is suitable for both recent secondary school graduates and adult learners seeking access to undergraduate education in biomedical or health sciences.

Target Audience

The programme targets the following groups:  

  • This programme is intended for international and local learners aged 18 and above who are seeking entry into undergraduate programmes in biomedical science, medicine, dentistry, or health sciences. It is especially suited to students who:
    • Have completed secondary education but do not yet meet direct entry requirements for a science degree;
    • Require additional academic preparation in biology, chemistry, and scientific English;
    • Need to improve their academic skills and test-readiness for university admission (e.g., UCAT/BMAT);
    • Plan to study in higher education systems that require a foundation year.

Career Paths

This programme is designed to serve as a preparatory pathway for further study rather than a direct route to a regulated or warranted profession. It supports access to MQF Level 6 programmes such as B.Sc. in Biomedical Science, Medicine, Dentistry, and Health Sciences.

The programme builds foundational competences relevant to the following occupational areas as referenced in the Malta Qualifications Database (MQD):

  • Entry-level healthcare support roles
  • Pre-clinical academic preparation for health professions

Although it does not lead directly to a regulated profession, it equips learners with transferable scientific, academic, and digital skills necessary for further progression into regulated careers in the health and life sciences sectors.

Assessment

Assessment is carried out via two mandatory components:

  • Modular Assessment
  • Project Assessment

The programme includes different forms of assessment which allow for and promote students’ critical engagement. The formative and summative assessment tasks may include an in-class assignment and/or a home-based written assignment using diverse assessment tools which may take the form of online and in-class discussions, examinations, case studies, reports, proposals, essays, and presentations, etc., as applicable to the diverse modules. 

Assignment
Discussions

Learning Outcomes

Competences

At the end of the module/unit, the learner will have acquired the responsibility and autonomy to:

  • Work independently to solve quantitative and analytical problems in biology.
  • Ensure accuracy and clarity in data collection and interpretation.
  • Select and apply appropriate measurement techniques and scientific tools to gather reliable experimental data.
  • Collaborate in team-based problem-solving and lab assignments. 

Knowledge

At the end of the module/unit, the learner will have been exposed to the following:

  • Identify and use units of measurement relevant to the life sciences.
  • Explain core physics concepts such as energy, motion, and electricity in biological systems.
  • Understand basic statistical measures and data types.
  • Recognise the role of computing and ICT in biological investigations.

Skills

At the end of the module/unit, the learner will have acquired the following skills:

  • Apply mathematical methods to biological problems (e.g., algebra, graphing, probability).
  • Use software tools to analyse and present biological data.
  • Interpret physical phenomena (e.g., pressure, waves, temperature) in relation to physiology.
  • Write simple pseudocode to model biological processes.
Accredited
Professional
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