Certificate in Pathology, Informatics & Business Application (Distance Learning)
Academic Year 2017/18
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 |
Certificate in Pathology, Informatics & Business Application (Distance Learning) |
Final Award |
Postgraduate Certificate |
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Programme Code |
MED-PC-PIB |
UCAS Code |
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JACS Code |
A900 (DESCR) 100 |
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Criteria for Admissions For current general University entry requirements for this pathway go to: http://www.qub.ac.ado |
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 |
1 Academic Year(s) |
Total Credits for Programme |
60 |
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Exit Awards available |
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INSTITUTE INFORMATION
Awarding Institution/Body |
Queen's University Belfast |
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Teaching Institution |
Queen's University Belfast |
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School/Department |
Medicine, Dentistry and Biomedical Sciences |
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Framework for Higher Education Qualification Level |
Level 7 |
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QAA Benchmark Group |
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Accreditations (PSRB) |
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REGULATION INFORMATION
Does the Programme have any approved exemptions from the University General Regulations No |
Programme Specific Regulations The following regulations should be read in conjunction with the General Regulations of the University. |
Students with protected characteristics Normally there are no barriers but each case will be considered individually |
Are students subject to Fitness to Practise Regulations (Please see General Regulations) No |
EDUCATIONAL AIMS OF PROGRAMME
To nurture skills in digital molecular pathology and pathology informatics for effective application across academic, health care delivery or bio-industry sectors
Demonstrate how close working relationships with industry are essential to facilitate rapid transfer of translational medicine into clinical practice
Apply effective core molecular pathology skills to the workplace
To promote leadership in molecular pathology across academic, health care delivery or bio-industry sectors
LEARNING OUTCOMES
Learning Outcomes: Cognitive SkillsOn the completion of this course successful students will be able to: |
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Select and evaluate theories and research from the knowledge base of molecular pathology to integrate digital molecular pathology and bioinformatics in order to underpin molecular diagnostics, theranostics and clinical trials delivery |
Teaching/Learning Methods and Strategies Lectures (online), Webinars, Tutorials, Masterclasses, , Guided Self-Directed learning including online quizzes Methods of Assessment Coursework, Essays and Assignments |
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Lead teams applying molecular pathology skills in academia, healthcare or bio-industry sectors |
Teaching/Learning Methods and Strategies Lectures (online), Webinars, Tutorials, Masterclasses, , Guided Self-Directed learning including online quizzes Methods of Assessment Presentations and Assignments |
Learning Outcomes: Knowledge & UnderstandingOn the completion of this course successful students will be able to: |
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Evaluate and apply basic principles of statistical analysis for handing data in translational medical research |
Teaching/Learning Methods and Strategies On line lectures, online tutorials and guided self-directed learning Methods of Assessment Coursework, Assignments |
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Appraise the theoretical and technical aspects of digital pathology and have an appreciation for the regulatory requirements relating to digital pathology for research and clinical application |
Teaching/Learning Methods and Strategies On line lectures, online tutorials and guided self-directed learning Methods of Assessment Coursework, Assignments |
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Explain how academia and industry intersect to develop mutually beneficial research collaborations |
Teaching/Learning Methods and Strategies Lectures, Tutorials, Workshops, Masterclasses, Guided Self-Directed learning Methods of Assessment Course work, Assignments |
Learning Outcomes: Subject SpecificOn the completion of this course successful students will be able to: |
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Identify and evaluate the key components required to establish a spin off company from research findings; including familiarity with aspects of IPR, patenting and licencing |
Teaching/Learning Methods and Strategies On line lectures, online masterclasses and guided self-directed learning Methods of Assessment Course work |
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Discuss commercial strategies for marketing and developing products |
Teaching/Learning Methods and Strategies On line lectures, online masterclasses and guided self-directed learning Methods of Assessment Course work |
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Evaluate how different ‘omics’ research data are analysed |
Teaching/Learning Methods and Strategies On line lectures, online tutorials and guided self-directed learning Methods of Assessment Course work |
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Discuss digital pathology platforms and evaluate how different image analyse approaches are used for research and clinical application |
Teaching/Learning Methods and Strategies On line lectures, online tutorials and guided self-directed learning Methods of Assessment Course work |
Learning Outcomes: Transferable SkillsOn the completion of this course successful students will be able to: |
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Critically evaluate current scientific literature |
Teaching/Learning Methods and Strategies Lectures, Seminars, Tutorials, Workshops, Masterclasses, Practical's, Guided Self-Directed learning, Small Group Teaching Methods of Assessment Course work, Presentations, Assignments |
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Demonstrate critical, analytical and creative thinking by identifying resources and by gathering and managing important information |
Teaching/Learning Methods and Strategies Lectures, tutorials and through identifying additional resources, gathering information Methods of Assessment Course work, Essays, Presentations, Written Assignments, |
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Organisational and personal skills – including life-long responsibility and self-motivation, self-confidence, personal integrity, setting own goals and time management |
Teaching/Learning Methods and Strategies Lectures, tutorials, course guidance about time requirements for course completion Methods of Assessment Timely submission of coursework., Assessment of presentations |
Learning Outcomes: Cognitive SkillsOn the completion of this course successful students will be able to: |
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Analyze, interpret and appraise experimental data including data made publically available |
Teaching/Learning Methods and Strategies Lectures (online), Webinars, Tutorials, Masterclasses, , Guided Self-Directed learning including online quizzes Methods of Assessment Assignments |
Learning Outcomes: Transferable SkillsOn the completion of this course successful students will be able to: |
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Demonstrate good interpersonal skills |
Teaching/Learning Methods and Strategies Participation in group discussions and presentations Methods of Assessment Formative assessment of presentations |
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Demonstrate creativity by initiating and expressing new ideas, developing sound arguments and a persuasive opinions including critically evaluating and writing a business plan |
Teaching/Learning Methods and Strategies Lectures, tutorials and through identifying additional resources, gathering information Methods of Assessment Course work, Essays, Presentations, Written Assignments. |
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Data management skills – increased ability to carry out advanced data management/ data–base interrogation including ability to utilise statistical programming and interpret results from a statistical analysis in biomedical terms |
Teaching/Learning Methods and Strategies Lectures, tutorials and through identifying additional resources, gathering information Methods of Assessment Course work, Essays, Presentations, Written Assignments |
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Innovative thinking and its application to commercialisation of opportunities |
Teaching/Learning Methods and Strategies Lectures (traditional and online), tutorials, self directed learning Methods of Assessment Course work, Essays, Presentations, Written Assignments, |
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General IT skills including use of bibliographic software such as RefWorks or equivalent |
Teaching/Learning Methods and Strategies Lectures, tutorials, masterclasses, delivery of presentation, self-directed learning Methods of Assessment Course work, Data handling 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 % |
Biostatistical Informatics |
SCM8109 |
7 |
20 |
YES |
12 weeks |
N |
YES |
100% |
0% |
0% |
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Digital Pathology Distance Learning |
SCM8124 |
7 |
20 |
YES |
12 weeks |
N |
YES |
100% |
0% |
0% |
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The Academia-Industry Intersect |
SCM8126 |
7 |
20 |
YES |
12 weeks |
N |
YES |
100% |
0% |
0% |
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Notes
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