Academy Marketplace/Computational Biology, Bioinformatics & Bioengineering/AST-D13-F01
Computational Biology, Bioinformatics & Bioengineering · Computational Biology, Bioinformatics & Bioengineering — Foundations & Theory Applied Practice Programmes

Computational Biology, Bioinformatics & Bioengineering

Build interdisciplinary capability at the intersection of biology, computation and engineering.

Capability journey
1UNDERSTAND → 2APPLY → 3BUILD → 4PROVE → 5GROW
45 hoursDuration
6Modules
24Topics
72Subtopics
6Assessments
6Evidence
01 · Programme snapshot

Know what you are stepping into.

Before you enrol, understand the proposition in context: what the programme is designed around, where it sits in the Academy, how it can be experienced and what recognition pathway is attached to it.

Programme purpose

Computational Biology, Bioinformatics & Bioengineering

A flagship programme introducing computational biological reasoning, bioinformatics workflows, biological data and responsible bioengineering thinking.

Professional ProgrammeProfessionalHybrid
What this tells you: the published profile brings together the learner context, programme positioning, delivery characteristics and recognition pathway in one place.
DomainComputational Biology, Bioinformatics & Bioengineering
Programme familyComputational Biology, Bioinformatics & Bioengineering — Foundations & Theory Applied Practice Programmes
LevelL2
RecognitionAcademy credential pathway
02 · Fit & readiness

Is this programme for you?

Make the learner fit visible before you commit. These published definitions describe who the programme is intended for, what eligibility applies and what preparation is expected.

Readiness check

Who this is for

Learners seeking an applied interdisciplinary capability pathway; suitable for students, professionals and capability-development cohorts.

Eligibility

Open to learners who can engage with the stated programme level and complete the required learning activities.

Entry requirements

Basic digital literacy and readiness to undertake guided applied work; domain-specific prerequisites may be introduced in later programme revisions.

03 · Capability outcomes

What you will be able to demonstrate.

The programme is designed around demonstrable capability. These published outcomes show what the learning journey is intended to help you understand, apply, build and prove.

18published capability outcomes

Computational Biology, Bioinformatics & Bioengineering Foundations & Framing

3 capability outcomes
01

Explain and frame the core concepts, methods and problem context addressed by the module.

02

Apply appropriate computational, analytical or engineering approaches to relevant biological problems.

03

Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.

Biological Data, Computational Methods & Evidence

3 capability outcomes
04

Explain and frame the core concepts, methods and problem context addressed by the module.

05

Apply appropriate computational, analytical or engineering approaches to relevant biological problems.

06

Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.

Bioinformatics & Bioengineering Applied Practice

3 capability outcomes
07

Explain and frame the core concepts, methods and problem context addressed by the module.

08

Apply appropriate computational, analytical or engineering approaches to relevant biological problems.

09

Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.

Biological Systems, Engineering & Integration

3 capability outcomes
10

Explain and frame the core concepts, methods and problem context addressed by the module.

11

Apply appropriate computational, analytical or engineering approaches to relevant biological problems.

12

Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.

Responsible, Ethical & Reproducible Practice

3 capability outcomes
13

Explain and frame the core concepts, methods and problem context addressed by the module.

14

Apply appropriate computational, analytical or engineering approaches to relevant biological problems.

15

Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.

Computational Biology, Bioinformatics & Bioengineering Capability Demonstration

3 capability outcomes
16

Explain and frame the core concepts, methods and problem context addressed by the module.

17

Apply appropriate computational, analytical or engineering approaches to relevant biological problems.

18

Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.

04 · Capability architecture

Understand → Apply → Build → Prove → Grow.

This is more than a five-word model. It describes the learner movement through the programme — and the kind of participation Astraal SymbiOS is designed to support after enrolment.

01UNDERSTAND
Build the foundation before you act.In SymbiOS: Engage with the concepts, explanations and guided learning experiences that establish the knowledge needed for the programme.
02APPLY
Use what you have learned in context.In SymbiOS: Work through guided activities, examples, exercises or cases and connect the concepts to practical situations.
03BUILD
Turn understanding into something tangible.In SymbiOS: Create, practise or develop an artefact, solution, analysis or other applied work that demonstrates growing capability.
04PROVE
Demonstrate capability with evidence.In SymbiOS: Complete the relevant assessments and produce the evidence needed to show what you can actually do.
05GROW
Extend capability beyond the immediate task.In SymbiOS: Reflect, refine and transfer the capability into broader contexts so learning can continue beyond the individual programme activities.
What this means for the learner: the Marketplace tells you what the programme is and what capability it is designed to develop. After enrolment, Astraal SymbiOS becomes the execution environment where the detailed learning activities, practice, assessment and evidence journey are carried through.
05 · Programme architecture

See what you will actually move through.

Explore modules, topics, subtopics, outcomes, assessments, evidence and learning experiences before enrolment.

01

Computational Biology, Bioinformatics & Bioengineering Foundations & Framing

Foundations for computational biology, bioinformatics and bioengineering problem framing.

6.00 hrs
Explore module content · 4 topics3 outcomes · 1 assessment · 1 evidence

Foundations of Computational Biology

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Biological Systems and Molecular Context

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Computational and Engineering Perspectives

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Biological Problem Framing

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.
Learning outcomes• Explain and frame the core concepts, methods and problem context addressed by the module.
• Apply appropriate computational, analytical or engineering approaches to relevant biological problems.
• Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.
AssessmentApplied Computational Biology, Bioinformatics & Bioengineering Foundations & Framing Assessment

Module-level assessment requiring application of concepts, methods and evidence.

EvidenceComputational Biology, Bioinformatics & Bioengineering Foundations & Framing Evidence

Evidence artefact demonstrating applied understanding and capability within the module.

Learning experience: Structured learning experience aligned to the module capability journey. · Professional Programme · Hybrid
02

Biological Data, Computational Methods & Evidence

Methods for working with biological data, computational tools and scientific evidence.

8.00 hrs
Explore module content · 4 topics3 outcomes · 1 assessment · 1 evidence

Biological Data Sources and Structures

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Data Quality and Preparation

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Computational Methods and Workflows

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Evidence and Biological Data Provenance

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.
Learning outcomes• Explain and frame the core concepts, methods and problem context addressed by the module.
• Apply appropriate computational, analytical or engineering approaches to relevant biological problems.
• Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.
AssessmentApplied Biological Data, Computational Methods & Evidence Assessment

Module-level assessment requiring application of concepts, methods and evidence.

EvidenceBiological Data, Computational Methods & Evidence Evidence

Evidence artefact demonstrating applied understanding and capability within the module.

Learning experience: Structured learning experience aligned to the module capability journey. · Professional Programme · Hybrid
03

Bioinformatics & Bioengineering Applied Practice

Applied computational and engineering practice across biological problems.

10.00 hrs
Explore module content · 4 topics3 outcomes · 1 assessment · 1 evidence

Sequence and Molecular Analysis

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Biological Data Modelling

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Bioengineering Design and Analysis

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Applied Computational Biology Practice

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.
Learning outcomes• Explain and frame the core concepts, methods and problem context addressed by the module.
• Apply appropriate computational, analytical or engineering approaches to relevant biological problems.
• Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.
AssessmentApplied Bioinformatics & Bioengineering Applied Practice Assessment

Module-level assessment requiring application of concepts, methods and evidence.

EvidenceBioinformatics & Bioengineering Applied Practice Evidence

Evidence artefact demonstrating applied understanding and capability within the module.

Learning experience: Structured learning experience aligned to the module capability journey. · Professional Programme · Hybrid
04

Biological Systems, Engineering & Integration

Integration of biological knowledge, computational systems and engineering approaches.

7.00 hrs
Explore module content · 4 topics3 outcomes · 1 assessment · 1 evidence

Biological Systems and Networks

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Computational Models and Simulation

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Bioengineering Systems and Processes

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Integrating Biological and Engineering Perspectives

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.
Learning outcomes• Explain and frame the core concepts, methods and problem context addressed by the module.
• Apply appropriate computational, analytical or engineering approaches to relevant biological problems.
• Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.
AssessmentApplied Biological Systems, Engineering & Integration Assessment

Module-level assessment requiring application of concepts, methods and evidence.

EvidenceBiological Systems, Engineering & Integration Evidence

Evidence artefact demonstrating applied understanding and capability within the module.

Learning experience: Structured learning experience aligned to the module capability journey. · Professional Programme · Hybrid
05

Responsible, Ethical & Reproducible Practice

Responsible practice across biological data, computation, engineering and research.

6.00 hrs
Explore module content · 4 topics3 outcomes · 1 assessment · 1 evidence

Ethics and Responsible Biological Practice

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Privacy, Consent and Data Stewardship

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Biosafety and Responsible Innovation

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Reproducibility, Uncertainty and Accountability

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.
Learning outcomes• Explain and frame the core concepts, methods and problem context addressed by the module.
• Apply appropriate computational, analytical or engineering approaches to relevant biological problems.
• Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.
AssessmentApplied Responsible, Ethical & Reproducible Practice Assessment

Module-level assessment requiring application of concepts, methods and evidence.

EvidenceResponsible, Ethical & Reproducible Practice Evidence

Evidence artefact demonstrating applied understanding and capability within the module.

Learning experience: Structured learning experience aligned to the module capability journey. · Professional Programme · Hybrid
06

Computational Biology, Bioinformatics & Bioengineering Capability Demonstration

Integrated demonstration of computational biology, bioinformatics and bioengineering capability.

8.00 hrs
Explore module content · 4 topics3 outcomes · 1 assessment · 1 evidence

Problem Definition and Capability Framing

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Data, Computational and Engineering Artefacts

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Evaluation and Evidence

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.

Capability Demonstration and Defence

Core topic within the module.

  • Concepts and terminology — Structured subtopic for guided capability development.
  • Methods and practical considerations — Structured subtopic for guided capability development.
  • Evidence, application and reflection — Structured subtopic for guided capability development.
Learning outcomes• Explain and frame the core concepts, methods and problem context addressed by the module.
• Apply appropriate computational, analytical or engineering approaches to relevant biological problems.
• Produce and evaluate evidence that demonstrates responsible and effective application of the module capability.
AssessmentApplied Computational Biology, Bioinformatics & Bioengineering Capability Demonstration Assessment

Module-level assessment requiring application of concepts, methods and evidence.

EvidenceComputational Biology, Bioinformatics & Bioengineering Capability Demonstration Evidence

Evidence artefact demonstrating applied understanding and capability within the module.

Learning experience: Structured learning experience aligned to the module capability journey. · Professional Programme · Hybrid
06 · The Astraal difference

From programme discovery to demonstrable capability.

Astraal separates the public marketplace experience from the detailed learning execution — so learners can understand the proposition before they enrol and know what happens next.

Marketplace → SymbiOS

Academy Marketplace helps you discover the programme, understand its purpose, structure, capability outcomes and access pathway. Astraal SymbiOS takes over after enrolment for the detailed learning, practice, assessment and evidence journey.

Capability → Evidence → Recognition

The programme is not presented as content alone. Its outcomes connect to learning activities, assessments and evidence so that capability can move from learning to demonstration and, where applicable, to recognition.

Your Astraal learner pathway
DISCOVER
UNDERSTAND
ENROL
EXECUTE IN SYMBIOS
PROVE
RECOGNISE

What changes after enrolment: the Marketplace remains your programme reference, while SymbiOS becomes the environment in which you engage with the detailed experiences, practice, assessment and evidence required by the published programme architecture.

07 · Recognition

Turn learning into something you can demonstrate.

The programme connects capability development with evidence, assessment and — where the published programme provides for it — Academy recognition.

Recognition pathway

Capability can become a credential.

The credential layer gives the learner a visible endpoint for demonstrated achievement. The credential names shown here come directly from the published V2 programme record.

Learn→ Demonstrate→ Recognise
Programme Credential
Evidence matters

Show what you can demonstrate.

6evidence

Evidence is part of the published programme architecture. It gives the learner a concrete way to show what has been produced, applied or demonstrated across the learning journey.

6module assessments
6evidence items
Computational Biology, Bioinformatics & Bioengineering Foundations & Framing Evidence
Biological Data, Computational Methods & Evidence Evidence
Bioinformatics & Bioengineering Applied Practice Evidence
Evidence is not an extra layer added after learning. It is part of the programme architecture that connects learning, assessment and demonstrable capability.

Ready to explore the pathway?

Review the published access offer and take the next step into this programme. Detailed learning execution continues in Astraal SymbiOS after enrolment.