PgCert Biostatistics and Bioinformatics
Academic Year 2021/22
A programme specification is required for any programme on which a student may be registered. All programmes of the University are subject to the University's Quality Assurance and Enhancement processes as set out in the DASA Policies and Procedures Manual.
Programme Title |
PgCert Biostatistics and Bioinformatics |
Final Award |
Postgraduate Certificate |
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Programme Code |
MED-PC-BB |
UCAS Code |
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HECoS Code |
100869 |
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ATAS Clearance Required |
No |
Health Check Required |
No |
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Portfolio Required |
Interview Required |
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Mode of Study |
Part Time |
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Type of Programme |
Postgraduate |
Length of Programme |
Part Time - 1 Academic Year(s) |
Total Credits for Programme |
60 |
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Exit Awards available |
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INSTITUTE INFORMATION
Teaching Institution |
Queen's University Belfast |
School/Department |
Medicine, Dentistry and Biomedical Sciences |
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Quality Code Higher Education Credit Framework for England |
Level 7 |
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Subject Benchmark Statements The Frameworks for Higher Education Qualifications of UK Degree-Awarding Bodies |
N/A |
Accreditations (PSRB) |
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REGULATION INFORMATION
Does the Programme have any approved exemptions from the University General Regulations No |
Programme Specific Regulations AWARDS, CREDITS AND PROGRESSION OF LEARNING OUTCOMES |
Students with protected characteristics N/A |
Are students subject to Fitness to Practise Regulations (Please see General Regulations) No |
EDUCATIONAL AIMS OF PROGRAMME
The aim of the programme is to provide a strong foundation in biostatistics and bioinformatics. Essential domain knowledge and context will be provided via an introduction to cell biology. Students will gain key, transferable, statistical, data analytical and scripting skills which will, in turn, provide a springboard into further specialist bioinformatics training and qualifications.
LEARNING OUTCOMES
Learning Outcomes: Cognitive SkillsOn the completion of this course successful students will be able to: |
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Critically evaluate scientific literature. |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
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Creatively apply and extend scientific principles to new problems. |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
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Efficiently analyse and summarise core concepts from diverse sources. |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
Learning Outcomes: Transferable SkillsOn the completion of this course successful students will be able to: |
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Critical, analytical and creative thinking. |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
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Oral communication and in writing scientific documentation |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
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Handling various types of IT resources. |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
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Time management |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
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Team work |
Teaching/Learning Methods and Strategies Online-based discussion, practical exercises Methods of Assessment Coursework, practical assignments |
Learning Outcomes: Knowledge & UnderstandingOn the completion of this course successful students will be able to: |
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Communicate the principles of cell biology. |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Perform statistical analyses and interpret the output from such analyses |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Explain basic principles of statistical methods. |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Utilise the basic elements of programming languages such as R |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Communicate the importance of data integration |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Explain the key concepts in health informatics and its integration with translational bioinformatics to facilitate the development of precision medicine approaches |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
Learning Outcomes: Subject SpecificOn the completion of this course successful students will be able to: |
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Select, apply and interpret statistical methods in the analysis of biomedical, omics and clinical data |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Interrogate relevant online resources for efficient data retrieval and analysis |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Utilise comprehensive programming skills. |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
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Utilise a variety of existing databases in biomedical research |
Teaching/Learning Methods and Strategies Online-Lectures, tutorials, practicals, self-directed learning Methods of Assessment Coursework, practical assignments |
MODULE INFORMATION
Programme Requirements
Module Title |
Module Code |
Level/ stage |
Credits |
Availability |
Duration |
Pre-requisite |
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Assessment |
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S1 |
S2 |
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Core |
Option |
Coursework % |
Practical % |
Examination % |
Scientific Programming & Statistical Computing |
SCM7047 |
7 |
20 |
YES |
YES |
6 weeks |
N |
YES |
100% |
0% |
0% |
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Biostatistical Informatics |
SCM8109 |
7 |
20 |
YES |
6 weeks |
N |
YES |
100% |
0% |
0% |
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Health and Biomedical informatics and the exposome |
SCM8148 |
7 |
10 |
YES |
6 weeks |
N |
YES |
100% |
0% |
0% |
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Introductory Cell Biology & Computational analysis for Bioinformatics |
SCM8159 |
7 |
10 |
YES |
6 weeks |
N |
YES |
100% |
0% |
0% |
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Notes |
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