MSc in Applied Social Data Science
Programme Code: TMASDS
Department: Methodology
For students starting this programme of study in 2019/20
Guidelines for interpreting programme regulations
Please note that places are limited on some optional courses. Admission onto any particular course is not guaranteed and may be subject to timetabling constraints and/or students meeting specific prerequisite requirements.
Paper |
Course number, title (unit value) | |
Paper 1 |
MY470 Computer Programming (0.5) | |
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And courses to the value of 0.5 units from the following: | |
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MY472 Data for Data Scientists (0.5) | |
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Paper 2 |
MY400 Fundamentals of Social Science Research Design (0.5) | |
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And courses to the value of 0.5 units from the following: | |
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MY452 Applied Regression Analysis (0.5) # (withdrawn 2021/22) | |
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Paper 3 |
Courses to the value of 0.5 units from the following: | |
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MY405 Research Design for Policy and Programme Evaluation (0.5) | |
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MY454 Applied Statistical Computing using R (0.5) # (withdrawn 2019/20) | |
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MY457 Causal Inference for Observational and Experimental Studies (0.5) # | |
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MY461 Social Network Analysis (0.5) | |
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ST449 Artificial Intelligence (0.5) | |
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OR | |
Courses to the value of 0.5 unit(s) from the following: | ||
Paper 4 |
Choice of any other 0.5 unit ÐÓ°ÉÂÛ̳ course (including MY) with approval of the Academic Mentor. | |
Paper 5 |
MY498 Capstone Project (1.0) |
Methodology Options List
MY401 Research Design for Studies in Digital Innovation (0.5) | |
MY405 Research Design for Policy and Programme Evaluation (0.5) | |
MY421 Qualitative Research Methods (0.5) (withdrawn 2021/22) | |
MY427 Qualitative Research with Digital and Visual Data (0.5) # (withdrawn 2021/22) | |
MY451 Introduction to Quantitative Analysis (0.5) (withdrawn 2021/22) | |
MY452 Applied Regression Analysis (0.5) # (withdrawn 2021/22) | |
MY454 Applied Statistical Computing using R (0.5) # (withdrawn 2019/20) | |
MY457 Causal Inference for Observational and Experimental Studies (0.5) # | |
MY461 Social Network Analysis (0.5) | |
MY472 Data for Data Scientists (0.5) | |
# means there may be prerequisites for this course. Please view the course guide for more information.
Note for prospective students:
For changes to graduate course and programme information for the next academic session, please see the . Changes to course and programme information for future academic sessions can be found on the .