detail

Cert (PC) Pathology, Informatics & Business Application (DL)

Academic Year 2016/17

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

Cert (PC) Pathology, Informatics & Business Application (DL)

Final Award
(exit route if applicable for Postgraduate Taught Programmes)

Postgraduate Certificate

Programme Code

MED-PC-PIB

UCAS Code

JACS Code

A900 (DESCR) 100

Criteria for Admissions

For current general University entry requirements for this pathway go to: http://www.qub.ac.ado

(1) Applicants to the programme will be required to hold a professional qualification (MBBS, BDS, BVsc or equivalent), or
(2) 2.1 Hons degree (as minimum) or equivalent in a relevant biological subject (Note: significant long term experience may also be considered on an individual basis through the University’s procedures for Recognition of Prior Learning - RPL), or

International students:
Non-EEA nationals must satisfy UK Visas and Immigration (UKVI) requirements for English language for visa purposes.

• An IELTS score of 6.5, with not less than 6 in each of the four component elements of listening, reading, speaking and writing taken within the last 2 years
• A TOEFL score of 90+ (internet based test) taken within the last 2 years, with minimum component scores of Listening-20; Reading -19; Speaking-21; Writing 20
• A valid Certificate of Proficiency in English grade A or B
• A valid Certificate of Advanced English grade A or
• A 1st or Upper second class honours degree from a UK University, Republic of Ireland or other suitably quality assured location in a country deemed by UK Visas and Immigration (UKVI) to be majority English speaking

For further Information Refer to:
Course Handbook
School of Medicine, Dentistry and Biomedical Sciences
Postgraduate and Professional Development
Whitla Medical Building
97 Lisburn Road Belfast BT9 7BL
www.qub.ac.uk/schools/mdbs/
http://go.qub.ac.uk/mscclinicalanatomy
Tel: +44 (0) 28 9097 2615
Email: pgoffice.smdb@qub.ac.uk

ATAS Clearance Required

No

Health Check Required

No

Portfolio Required

Interview Required

Mode of Study

Part Time

Type of Programme

Postgraduate

Length of Programme

1 Academic Year(s)

Total Credits for Programme

60

Exit Awards available

INSTITUTE INFORMATION

Awarding Institution/Body

Queen's University Belfast

Teaching Institution

Queen's University Belfast

School/Department

Medicine, Dentistry and Biomedical Sciences

Framework for Higher Education Qualification Level 
http://www.qaa.ac.uk/publications/information-and-guidance

Level 7

QAA Benchmark Group
http://www.qaa.ac.uk/assuring-standards-and-quality/the-quality-code/subject-benchmark-statements

Accreditations (PSRB)

Date of most recent Accreditation Visit

External Examiner Name:

External Examiner Institution/Organisation

Professor Mark Arends

University of Edinburgh

REGULATION INFORMATION

Does the Programme have any approved exemptions from the University General Regulations
(Please see General Regulations)

No

Programme Specific Regulations

The following regulations should be read in conjunction with the General Regulations of the University.

1. Candidates must achieve an overall pass mark (50%+) and pass all modules to be awarded a postgraduate certificate.
2. In the case of failed modules, candidates will normally be permitted only one re-sit attempt in each module.

Students with protected characteristics

Normally there are no barriers but being a laboratory based subject 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 Skills

On the completion of this course successful students will be able to:

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

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 & Understanding

On the completion of this course successful students will be able to:

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

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

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: Transferable Skills

On the completion of this course successful students will be able to:

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.

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

Demonstrate good interpersonal skills

Teaching/Learning Methods and Strategies

Participation in group discussions and presentations

Methods of Assessment

Formative assessment of presentations

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,

Learning Outcomes: Subject Specific

On the completion of this course successful students will be able to:

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

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

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

Discuss digital pathology platforms and evaluate how different image analyse approaches are used for research and clinical application On line lectures, online tutorials and guided self-directed learning Course work

Teaching/Learning Methods and Strategies

On line lectures, online tutorials and guided self-directed learning

Methods of Assessment

Course work

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

Learning Outcomes: Transferable Skills

On the completion of this course successful students will be able to:

Critically evaluate current scientific literature

Teaching/Learning Methods and Strategies

Lectures, Seminars, Tutorials, Workshops, Masterclasses, Practicals, Journal Clubs, Guided Self-Directed learning, Small Group Teaching

Methods of Assessment

Course work, Presentations, Assignments

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,

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

MODULE INFORMATION

Programme Requirements

Module Title

Module Code

Level/ stage

Credits

Availability

Duration

Pre-requisite

 

Assessment

 

 

 

 

S1

S2

 

 

Core

Option

Coursework %

Practical %

Examination %

Biostatistical Informatics

SCM8109

7

20

YES

12 weeks

N

YES

100%

0%

0%

Digital Pathology Distance Learning

SCM8124

7

20

YES

12 weeks

N

YES

100%

0%

0%

The Academia-Industry Intersect

SCM8126

7

20

YES

12 weeks

N

YES

100%

0%

0%

Notes