Year 1, Academic year 2016/17, Starting month: September
Notes: During the first three years of this programme students must complete 120 credits worth of courses and take at least one course from each of the specialisms:
*Quantitative Skills
*Data
*Life Sciences
Students joining the programme with Recognised Prior Learning, must complete 30 credits worth of courses and take a course from at least two of the specialisms.
COMPULSORY COURSES
This DPT has 0
compulsory course(s).
Code |
Course Name |
Period |
Credits |
COURSE OPTIONS
This DPT has 3
set(s) of course options with the following rules.
Overarching rule collection group: A
Select a minimum of 0 credits and a maximum of 120 credits
from these collections:
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MCLM11006
|
Health Economics
|
10
|
PGBI11029
|
Applicable Mathematics for MSc Drug Discovery and Translational Biology
|
10
|
MCLM11002
|
Introduction to Clinical Trials
|
20
|
PGBI11057
|
Bioinformatics Algorithms
|
10
|
MCLM11030
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Trials : Principles and Methods MED5336
|
20
|
GLHE11039
|
Research and Evaluation in eHealth
|
10
|
PGSP11401
|
Engaging with Digitial Research
|
10
|
PGSP11389
|
Social Shaping of Digital Research
|
10
|
PGSP11390
|
Technologies of Civic Participation
|
10
|
MCLM11038
|
Credits Awarded for Taught Courses [University of Glasgow] Introduction to Bayesian Statistics BIOL5124
|
10
|
MCLM11039
|
Credits Awarded for Taught Courses [University of Glasgow] Medical Statistics MED5356
|
10
|
MCLM11040
|
Credits Awarded for Taught Courses [University of Glasgow] Programming in R BIOL5133
|
10
|
MCLM11041
|
Credits Awarded for Taught Courses [University of Glasgow] Statistics 1 MED5341
|
10
|
MCLM11042
|
Credits Awarded for Taught Courses [University of Glasgow] Statistics 2 MED5366
|
10
|
Notes: These are courses from the Quantitative Skills specialism. Students must take at least one course from this specialism during the first three years of the programme.
AND
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MATH11174
|
Biomedical Data Science
|
10
|
MCLM11008
|
Bioinformatics and Data Management
|
10
|
PGPH11088
|
Fundamentals of Data Management
|
10
|
PGBI11023
|
Molecular Modelling and Database Mining
|
10
|
PGBI11089
|
Practical Systems Biology
|
20
|
GLHE11038
|
User-Centred Design in eHealth
|
10
|
GLHE11005
|
Telemedicine and Telehealth
|
10
|
GLHE11037
|
Public Health Informatics
|
10
|
GLHE11051
|
Health Informatics: Foundation, Emerging Trends and Influencing Factors.
|
10
|
GLHE11060
|
Health Informatics: core technologies and systems
|
10
|
GLHE11036
|
Ethics and Governance of eHealth
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
PGSP11391
|
Managing Digital Influence
|
10
|
PGSP11388
|
The use and evolution of digital data analysis and collection tools
|
10
|
PGSP11392
|
Understanding Data Visualisation
|
10
|
MCLM11037
|
Medical Informatics
|
10
|
MCLM11043
|
Credits Awarded for Taught Courses [University of Glasgow] Qualitative Research Methods MED5077
|
20
|
Notes: These are courses from the Data specialism. Students must take at least one course from this specialism during the first three years of the programme.
AND
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
BIME10009
|
Neuroimaging
|
20
|
GMED11081
|
Imaging in Medicine
|
10
|
MCLM11012
|
Pharmacogenomics
|
10
|
BILG11004
|
Next Generation Genomics
|
10
|
PGBI11001
|
Population and Quantitative Genetics
|
20
|
PGBI11040
|
Functional Genomic Technologies
|
10
|
PGBI11006
|
Bioinformatics
|
10
|
NEME11006
|
Neuroimaging: Common Image Processing Techniques 1
|
20
|
NEME11037
|
Neuroimaging: Common Image Processing Techniques 2
|
10
|
MCLM11031
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Genomics MED5425
|
20
|
MCLM11033
|
Credits Awarded for Taught Courses [University of Glasgow] Molecular Pathology MED5410
|
20
|
MCLM11044
|
Credits Awarded for Taught Courses [University of Glasgow] Cancer Genomics - NGS and Functional Analysis Methods BIOL530
|
20
|
MCLM11045
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Genomics MED5425
|
20
|
MCLM11046
|
Credits Awarded for Taught Courses [University of Glasgow] Foundations of Bioinformatics BIOL5170
|
15
|
MCLM11047
|
Credits Awarded for Taught Courses [University of Glasgow] Introduction to Matlab for Biologists BIOL5284
|
10
|
MCLM11048
|
Credits Awarded for Taught Courses [University of Glasgow] Metagenomics BIOL5172
|
10
|
MCLM11049
|
Credits Awarded for Taught Courses [University of Glasgow] Omic analyses for the biomedical sciences: from genomics to m
|
20
|
MCLM11050
|
Credits Awarded for Taught Courses [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174
|
15
|
MCLM11051
|
Credits Awarded for Taught Courses [University of Glasgow] RNA-seq and Next Generation Transcriptomics BIOL5177
|
10
|
MCLM11052
|
Credits Awarded for Taught Courses [University of Glasgow] The Molecular Genetics of Disease BIOL5152
|
30
|
Notes: These are courses from the Life Sciences specialism. Students must take at least one course from this specialism during the first three years of the programme.
|
Year 2, Academic year 2016/17, Starting month: September
Notes: During the first three years of this programme students must complete 120 credits worth of courses and take at least one course from each of the specialisms:
*Quantitative Skills
*Data
*Life Sciences
Students joining the programme with Recognised Prior Learning, must complete 30 credits worth of courses and take a course from at least two of the specialisms.
COMPULSORY COURSES
This DPT has 0
compulsory course(s).
Code |
Course Name |
Period |
Credits |
COURSE OPTIONS
This DPT has 3
set(s) of course options with the following rules.
Overarching rule collection group: A
Select a minimum of 0 credits and a maximum of 120 credits
from these collections:
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MCLM11006
|
Health Economics
|
10
|
PGBI11029
|
Applicable Mathematics for MSc Drug Discovery and Translational Biology
|
10
|
MCLM11002
|
Introduction to Clinical Trials
|
20
|
PGBI11057
|
Bioinformatics Algorithms
|
10
|
MCLM11030
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Trials : Principles and Methods MED5336
|
20
|
GLHE11039
|
Research and Evaluation in eHealth
|
10
|
PGSP11401
|
Engaging with Digitial Research
|
10
|
PGSP11389
|
Social Shaping of Digital Research
|
10
|
PGSP11390
|
Technologies of Civic Participation
|
10
|
MCLM11038
|
Credits Awarded for Taught Courses [University of Glasgow] Introduction to Bayesian Statistics BIOL5124
|
10
|
MCLM11039
|
Credits Awarded for Taught Courses [University of Glasgow] Medical Statistics MED5356
|
10
|
MCLM11040
|
Credits Awarded for Taught Courses [University of Glasgow] Programming in R BIOL5133
|
10
|
MCLM11041
|
Credits Awarded for Taught Courses [University of Glasgow] Statistics 1 MED5341
|
10
|
MCLM11042
|
Credits Awarded for Taught Courses [University of Glasgow] Statistics 2 MED5366
|
10
|
Notes: These are courses from the Quantitative Skills specialism. Students must take at least one course from this specialism during the first three years of the programme.
AND
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MATH11174
|
Biomedical Data Science
|
10
|
MCLM11008
|
Bioinformatics and Data Management
|
10
|
PGPH11088
|
Fundamentals of Data Management
|
10
|
PGBI11023
|
Molecular Modelling and Database Mining
|
10
|
PGBI11089
|
Practical Systems Biology
|
20
|
GLHE11038
|
User-Centred Design in eHealth
|
10
|
GLHE11005
|
Telemedicine and Telehealth
|
10
|
GLHE11037
|
Public Health Informatics
|
10
|
GLHE11051
|
Health Informatics: Foundation, Emerging Trends and Influencing Factors.
|
10
|
GLHE11060
|
Health Informatics: core technologies and systems
|
10
|
GLHE11036
|
Ethics and Governance of eHealth
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
PGSP11391
|
Managing Digital Influence
|
10
|
PGSP11388
|
The use and evolution of digital data analysis and collection tools
|
10
|
PGSP11392
|
Understanding Data Visualisation
|
10
|
MCLM11037
|
Medical Informatics
|
10
|
MCLM11043
|
Credits Awarded for Taught Courses [University of Glasgow] Qualitative Research Methods MED5077
|
20
|
Notes: These are courses from the Data specialism. Students must take at least one course from this specialism during the first three years of the programme.
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
BIME10009
|
Neuroimaging
|
20
|
GMED11081
|
Imaging in Medicine
|
10
|
MCLM11012
|
Pharmacogenomics
|
10
|
BILG11004
|
Next Generation Genomics
|
10
|
PGBI11001
|
Population and Quantitative Genetics
|
20
|
PGBI11040
|
Functional Genomic Technologies
|
10
|
PGBI11006
|
Bioinformatics
|
10
|
NEME11006
|
Neuroimaging: Common Image Processing Techniques 1
|
20
|
NEME11037
|
Neuroimaging: Common Image Processing Techniques 2
|
10
|
MCLM11031
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Genomics MED5425
|
20
|
MCLM11033
|
Credits Awarded for Taught Courses [University of Glasgow] Molecular Pathology MED5410
|
20
|
MCLM11044
|
Credits Awarded for Taught Courses [University of Glasgow] Cancer Genomics - NGS and Functional Analysis Methods BIOL530
|
20
|
MCLM11045
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Genomics MED5425
|
20
|
MCLM11046
|
Credits Awarded for Taught Courses [University of Glasgow] Foundations of Bioinformatics BIOL5170
|
15
|
MCLM11047
|
Credits Awarded for Taught Courses [University of Glasgow] Introduction to Matlab for Biologists BIOL5284
|
10
|
MCLM11048
|
Credits Awarded for Taught Courses [University of Glasgow] Metagenomics BIOL5172
|
10
|
MCLM11049
|
Credits Awarded for Taught Courses [University of Glasgow] Omic analyses for the biomedical sciences: from genomics to m
|
20
|
MCLM11050
|
Credits Awarded for Taught Courses [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174
|
15
|
MCLM11051
|
Credits Awarded for Taught Courses [University of Glasgow] RNA-seq and Next Generation Transcriptomics BIOL5177
|
10
|
MCLM11052
|
Credits Awarded for Taught Courses [University of Glasgow] The Molecular Genetics of Disease BIOL5152
|
30
|
Notes: These are courses from the Life Sciences specialism. Students must take at least one course from this specialism during the first three years of the programme.
|
Year 3, Academic year 2016/17, Starting month: September
Notes: During the first three years of this programme students must complete 120 credits worth of courses and take at least one course from each of the specialisms:
*Quantitative Skills
*Data
*Life Sciences
Students joining the programme with Recognised Prior Learning, must complete 30 credits worth of courses and take a course from at least two of the specialisms.
COMPULSORY COURSES
This DPT has 0
compulsory course(s).
Code |
Course Name |
Period |
Credits |
COURSE OPTIONS
This DPT has 3
set(s) of course options with the following rules.
Overarching rule collection group: A
Select a minimum of 0 credits and a maximum of 120 credits
from these collections:
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MCLM11006
|
Health Economics
|
10
|
PGBI11029
|
Applicable Mathematics for MSc Drug Discovery and Translational Biology
|
10
|
MCLM11002
|
Introduction to Clinical Trials
|
20
|
PGBI11057
|
Bioinformatics Algorithms
|
10
|
MCLM11030
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Trials : Principles and Methods MED5336
|
20
|
GLHE11039
|
Research and Evaluation in eHealth
|
10
|
PGSP11401
|
Engaging with Digitial Research
|
10
|
PGSP11389
|
Social Shaping of Digital Research
|
10
|
PGSP11390
|
Technologies of Civic Participation
|
10
|
MCLM11038
|
Credits Awarded for Taught Courses [University of Glasgow] Introduction to Bayesian Statistics BIOL5124
|
10
|
MCLM11039
|
Credits Awarded for Taught Courses [University of Glasgow] Medical Statistics MED5356
|
10
|
MCLM11040
|
Credits Awarded for Taught Courses [University of Glasgow] Programming in R BIOL5133
|
10
|
MCLM11041
|
Credits Awarded for Taught Courses [University of Glasgow] Statistics 1 MED5341
|
10
|
MCLM11042
|
Credits Awarded for Taught Courses [University of Glasgow] Statistics 2 MED5366
|
10
|
Notes: These are courses from the Quantitative Skills specialism. Students must take at least one course from this specialism during the first three years of the programme.
AND
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
MATH11174
|
Biomedical Data Science
|
10
|
MCLM11008
|
Bioinformatics and Data Management
|
10
|
PGPH11088
|
Fundamentals of Data Management
|
10
|
PGBI11023
|
Molecular Modelling and Database Mining
|
10
|
PGBI11089
|
Practical Systems Biology
|
20
|
GLHE11038
|
User-Centred Design in eHealth
|
10
|
GLHE11005
|
Telemedicine and Telehealth
|
10
|
GLHE11037
|
Public Health Informatics
|
10
|
GLHE11051
|
Health Informatics: Foundation, Emerging Trends and Influencing Factors.
|
10
|
GLHE11060
|
Health Informatics: core technologies and systems
|
10
|
GLHE11036
|
Ethics and Governance of eHealth
|
10
|
INFR11031
|
Advanced Vision (Level 11)
|
10
|
PGSP11391
|
Managing Digital Influence
|
10
|
PGSP11388
|
The use and evolution of digital data analysis and collection tools
|
10
|
PGSP11392
|
Understanding Data Visualisation
|
10
|
MCLM11037
|
Medical Informatics
|
10
|
MCLM11043
|
Credits Awarded for Taught Courses [University of Glasgow] Qualitative Research Methods MED5077
|
20
|
Notes: These are courses from the Data specialism. Students must take at least one course from this specialism during the first three years of the programme.
AND
Select
a minimum of 0 credits and maximum of 120 credits
from the following list of courses, as available
Code |
Course Name |
Credits |
BIME10009
|
Neuroimaging
|
20
|
GMED11081
|
Imaging in Medicine
|
10
|
MCLM11012
|
Pharmacogenomics
|
10
|
BILG11004
|
Next Generation Genomics
|
10
|
PGBI11001
|
Population and Quantitative Genetics
|
20
|
PGBI11040
|
Functional Genomic Technologies
|
10
|
PGBI11006
|
Bioinformatics
|
10
|
NEME11006
|
Neuroimaging: Common Image Processing Techniques 1
|
20
|
NEME11037
|
Neuroimaging: Common Image Processing Techniques 2
|
10
|
MCLM11031
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Genomics MED5425
|
20
|
MCLM11033
|
Credits Awarded for Taught Courses [University of Glasgow] Molecular Pathology MED5410
|
20
|
MCLM11044
|
Credits Awarded for Taught Courses [University of Glasgow] Cancer Genomics - NGS and Functional Analysis Methods BIOL530
|
20
|
MCLM11045
|
Credits Awarded for Taught Courses [University of Glasgow] Clinical Genomics MED5425
|
20
|
MCLM11046
|
Credits Awarded for Taught Courses [University of Glasgow] Foundations of Bioinformatics BIOL5170
|
15
|
MCLM11047
|
Credits Awarded for Taught Courses [University of Glasgow] Introduction to Matlab for Biologists BIOL5284
|
10
|
MCLM11048
|
Credits Awarded for Taught Courses [University of Glasgow] Metagenomics BIOL5172
|
10
|
MCLM11049
|
Credits Awarded for Taught Courses [University of Glasgow] Omic analyses for the biomedical sciences: from genomics to m
|
20
|
MCLM11050
|
Credits Awarded for Taught Courses [University of Glasgow] Omics and Systems Approaches in Biology BIOL5174
|
15
|
MCLM11051
|
Credits Awarded for Taught Courses [University of Glasgow] RNA-seq and Next Generation Transcriptomics BIOL5177
|
10
|
MCLM11052
|
Credits Awarded for Taught Courses [University of Glasgow] The Molecular Genetics of Disease BIOL5152
|
30
|
Notes: These are courses from the Life Sciences specialism. Students must take at least one course from this specialism during the first three years of the programme.
|
Year 4, Academic year 2016/17, Starting month: September
Notes: By Year 4 students must have achieved 120 credits as detailed in Years 1 - 3 of the DPT. There are no taught elements in Year 4.
COMPULSORY COURSES
This DPT has
compulsory course(s).
Code |
Course Name |
Period |
Credits |
COURSE OPTIONS
This DPT has
set(s) of course options with the following rules.
|
|