Choosing the Right Masters
11
I am currently in my final year of BSc Computer Science at Queen Mary University Of London. I have received 3 conditional offers from King's College London in the following courses: Advanced Computing MSc, Applied Bioinformatics MSc and Applied Statistical Modelling & Health Informatics(ASMHI) MSc.
I have gone through the modules covered and course descriptions and all are very appealing to me. I am unsure of what to go for based on my interests. I have an aptitude for mathematics and statistics more so than heavy-intensive programming but a balance would be ideal.
During my 3rd year I have taken modules such as Data Mining, Big Data, Bayesian Decision Risk Analysis, UX Design, and Digital Media Social Networks(Graph Theory for Data Sci).
From what I have gathered the Advanced Computing course seems aligned as a result of similar themes and modules covered which would make it easier to cope with Masters, however, it is a very generalized course but the generalizability could be good. Picking modules such as Nature-inspired learning algorithms could be more maths-focused and still give insights into the bioinformatics field but through my computing masters?
I haven't had exposure to Biology since GCSEs so is the jump into an applied bioinformatics course going to be tough but I feel I also have a passion for using computational tools for medical data-driven decision-making and working with, and analyzing biological datasets compared to if were to do a general data sci or computing course it would be broad datasets applicable across domains.
I think ASMHI course is similar as well to the career paths it leads on to and skills gained.
I am also considering LSE Data Science Masters, which may take a more social science perspective and approach to teachings?
Career Aspirations: Predictive sports analytics, Clinical health data Scientist/Analyst, Market Research Analyst, Epidemiology, Biostatistician
If anyone has any insights to these courses and what would be a right fit please let me know.
I have gone through the modules covered and course descriptions and all are very appealing to me. I am unsure of what to go for based on my interests. I have an aptitude for mathematics and statistics more so than heavy-intensive programming but a balance would be ideal.
During my 3rd year I have taken modules such as Data Mining, Big Data, Bayesian Decision Risk Analysis, UX Design, and Digital Media Social Networks(Graph Theory for Data Sci).
From what I have gathered the Advanced Computing course seems aligned as a result of similar themes and modules covered which would make it easier to cope with Masters, however, it is a very generalized course but the generalizability could be good. Picking modules such as Nature-inspired learning algorithms could be more maths-focused and still give insights into the bioinformatics field but through my computing masters?
I haven't had exposure to Biology since GCSEs so is the jump into an applied bioinformatics course going to be tough but I feel I also have a passion for using computational tools for medical data-driven decision-making and working with, and analyzing biological datasets compared to if were to do a general data sci or computing course it would be broad datasets applicable across domains.
I think ASMHI course is similar as well to the career paths it leads on to and skills gained.
I am also considering LSE Data Science Masters, which may take a more social science perspective and approach to teachings?
Career Aspirations: Predictive sports analytics, Clinical health data Scientist/Analyst, Market Research Analyst, Epidemiology, Biostatistician
If anyone has any insights to these courses and what would be a right fit please let me know.
Reply 1
Original post
by ArkxheroI am currently in my final year of BSc Computer Science at Queen Mary University Of London. I have received 3 conditional offers from King's College London in the following courses: Advanced Computing MSc, Applied Bioinformatics MSc and Applied Statistical Modelling & Health Informatics(ASMHI) MSc.
I have gone through the modules covered and course descriptions and all are very appealing to me. I am unsure of what to go for based on my interests. I have an aptitude for mathematics and statistics more so than heavy-intensive programming but a balance would be ideal.
During my 3rd year I have taken modules such as Data Mining, Big Data, Bayesian Decision Risk Analysis, UX Design, and Digital Media Social Networks(Graph Theory for Data Sci).
From what I have gathered the Advanced Computing course seems aligned as a result of similar themes and modules covered which would make it easier to cope with Masters, however, it is a very generalized course but the generalizability could be good. Picking modules such as Nature-inspired learning algorithms could be more maths-focused and still give insights into the bioinformatics field but through my computing masters?
I haven't had exposure to Biology since GCSEs so is the jump into an applied bioinformatics course going to be tough but I feel I also have a passion for using computational tools for medical data-driven decision-making and working with, and analyzing biological datasets compared to if were to do a general data sci or computing course it would be broad datasets applicable across domains.
I think ASMHI course is similar as well to the career paths it leads on to and skills gained.
I am also considering LSE Data Science Masters, which may take a more social science perspective and approach to teachings?
Career Aspirations: Predictive sports analytics, Clinical health data Scientist/Analyst, Market Research Analyst, Epidemiology, Biostatistician
If anyone has any insights to these courses and what would be a right fit please let me know.
I have gone through the modules covered and course descriptions and all are very appealing to me. I am unsure of what to go for based on my interests. I have an aptitude for mathematics and statistics more so than heavy-intensive programming but a balance would be ideal.
During my 3rd year I have taken modules such as Data Mining, Big Data, Bayesian Decision Risk Analysis, UX Design, and Digital Media Social Networks(Graph Theory for Data Sci).
From what I have gathered the Advanced Computing course seems aligned as a result of similar themes and modules covered which would make it easier to cope with Masters, however, it is a very generalized course but the generalizability could be good. Picking modules such as Nature-inspired learning algorithms could be more maths-focused and still give insights into the bioinformatics field but through my computing masters?
I haven't had exposure to Biology since GCSEs so is the jump into an applied bioinformatics course going to be tough but I feel I also have a passion for using computational tools for medical data-driven decision-making and working with, and analyzing biological datasets compared to if were to do a general data sci or computing course it would be broad datasets applicable across domains.
I think ASMHI course is similar as well to the career paths it leads on to and skills gained.
I am also considering LSE Data Science Masters, which may take a more social science perspective and approach to teachings?
Career Aspirations: Predictive sports analytics, Clinical health data Scientist/Analyst, Market Research Analyst, Epidemiology, Biostatistician
If anyone has any insights to these courses and what would be a right fit please let me know.
I am not an expert but the Advanced Computing seems the most applicable
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