Applied and Computational Math vs. Psychology + MS Stats [on hold]
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Currently, I'm at a cross roads, I need to choose to pursue an applied math degree, or a psychology degree with a statistics minor for my undergraduate. If I do psychology, I'll pursue a course based MS statistics.
Which one would be better for the data-analytics portion of data-science?
I would like to stick around in the social services sector doing data-analysis to help make informed / effective decisions and streamline policies. I'm also interested in doing business intelligence, or math-based finance. I'm worried the Math major will be overkill.
Both paths will include classes such as Linear Algebra, Multivariable Calculus, Mathematical Statistics, and Time Series Analysis.
Now, the Applied and Computational Math degree covers:
-- Algorithm design and Optimization (year long)
-- Analysis (of vector spaces and multivariable calculus)
-- Introduction to Markov processes, martingales, Poissons, and Information Theory
-- Intro to regression, Bayesian stats, multivariate stats, and variance (the university notes that these are survey courses and are not a replacement for a statistics minor)
-- Dynamical Systems, Stochastic Optimal Control, Stochastic Differential Equations
-- All the above contain labs where the theory learned in classroom is applied in Python (so sometimes we're programming a heat function, other times we're working on clarifying an image)
I would also take a few courses in statistics, or a few in Computer Science (I'd have to choose one are of concentration). Statistical thinking seems more relevant, but learning advanced programming seems like it could be just as useful. Statistics, however, given a math background, seems easier to learn that computer science.
I really don't want to be the computer science guy programming new ML / AI models. That sounds tedious and my programming skills are only average, if not slightly below average (Bs in the classes I have taken so far).
So, my question, is which one is better preparation for what I would like to do? Would the math degree be overkill (or would it be worth it?)? Also, should I take the statistics or the computer-science concentration?
statistics math
New contributor
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put on hold as primarily opinion-based by Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 12 hours ago
Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.
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$begingroup$
Currently, I'm at a cross roads, I need to choose to pursue an applied math degree, or a psychology degree with a statistics minor for my undergraduate. If I do psychology, I'll pursue a course based MS statistics.
Which one would be better for the data-analytics portion of data-science?
I would like to stick around in the social services sector doing data-analysis to help make informed / effective decisions and streamline policies. I'm also interested in doing business intelligence, or math-based finance. I'm worried the Math major will be overkill.
Both paths will include classes such as Linear Algebra, Multivariable Calculus, Mathematical Statistics, and Time Series Analysis.
Now, the Applied and Computational Math degree covers:
-- Algorithm design and Optimization (year long)
-- Analysis (of vector spaces and multivariable calculus)
-- Introduction to Markov processes, martingales, Poissons, and Information Theory
-- Intro to regression, Bayesian stats, multivariate stats, and variance (the university notes that these are survey courses and are not a replacement for a statistics minor)
-- Dynamical Systems, Stochastic Optimal Control, Stochastic Differential Equations
-- All the above contain labs where the theory learned in classroom is applied in Python (so sometimes we're programming a heat function, other times we're working on clarifying an image)
I would also take a few courses in statistics, or a few in Computer Science (I'd have to choose one are of concentration). Statistical thinking seems more relevant, but learning advanced programming seems like it could be just as useful. Statistics, however, given a math background, seems easier to learn that computer science.
I really don't want to be the computer science guy programming new ML / AI models. That sounds tedious and my programming skills are only average, if not slightly below average (Bs in the classes I have taken so far).
So, my question, is which one is better preparation for what I would like to do? Would the math degree be overkill (or would it be worth it?)? Also, should I take the statistics or the computer-science concentration?
statistics math
New contributor
$endgroup$
put on hold as primarily opinion-based by Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 12 hours ago
Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.
add a comment |
$begingroup$
Currently, I'm at a cross roads, I need to choose to pursue an applied math degree, or a psychology degree with a statistics minor for my undergraduate. If I do psychology, I'll pursue a course based MS statistics.
Which one would be better for the data-analytics portion of data-science?
I would like to stick around in the social services sector doing data-analysis to help make informed / effective decisions and streamline policies. I'm also interested in doing business intelligence, or math-based finance. I'm worried the Math major will be overkill.
Both paths will include classes such as Linear Algebra, Multivariable Calculus, Mathematical Statistics, and Time Series Analysis.
Now, the Applied and Computational Math degree covers:
-- Algorithm design and Optimization (year long)
-- Analysis (of vector spaces and multivariable calculus)
-- Introduction to Markov processes, martingales, Poissons, and Information Theory
-- Intro to regression, Bayesian stats, multivariate stats, and variance (the university notes that these are survey courses and are not a replacement for a statistics minor)
-- Dynamical Systems, Stochastic Optimal Control, Stochastic Differential Equations
-- All the above contain labs where the theory learned in classroom is applied in Python (so sometimes we're programming a heat function, other times we're working on clarifying an image)
I would also take a few courses in statistics, or a few in Computer Science (I'd have to choose one are of concentration). Statistical thinking seems more relevant, but learning advanced programming seems like it could be just as useful. Statistics, however, given a math background, seems easier to learn that computer science.
I really don't want to be the computer science guy programming new ML / AI models. That sounds tedious and my programming skills are only average, if not slightly below average (Bs in the classes I have taken so far).
So, my question, is which one is better preparation for what I would like to do? Would the math degree be overkill (or would it be worth it?)? Also, should I take the statistics or the computer-science concentration?
statistics math
New contributor
$endgroup$
Currently, I'm at a cross roads, I need to choose to pursue an applied math degree, or a psychology degree with a statistics minor for my undergraduate. If I do psychology, I'll pursue a course based MS statistics.
Which one would be better for the data-analytics portion of data-science?
I would like to stick around in the social services sector doing data-analysis to help make informed / effective decisions and streamline policies. I'm also interested in doing business intelligence, or math-based finance. I'm worried the Math major will be overkill.
Both paths will include classes such as Linear Algebra, Multivariable Calculus, Mathematical Statistics, and Time Series Analysis.
Now, the Applied and Computational Math degree covers:
-- Algorithm design and Optimization (year long)
-- Analysis (of vector spaces and multivariable calculus)
-- Introduction to Markov processes, martingales, Poissons, and Information Theory
-- Intro to regression, Bayesian stats, multivariate stats, and variance (the university notes that these are survey courses and are not a replacement for a statistics minor)
-- Dynamical Systems, Stochastic Optimal Control, Stochastic Differential Equations
-- All the above contain labs where the theory learned in classroom is applied in Python (so sometimes we're programming a heat function, other times we're working on clarifying an image)
I would also take a few courses in statistics, or a few in Computer Science (I'd have to choose one are of concentration). Statistical thinking seems more relevant, but learning advanced programming seems like it could be just as useful. Statistics, however, given a math background, seems easier to learn that computer science.
I really don't want to be the computer science guy programming new ML / AI models. That sounds tedious and my programming skills are only average, if not slightly below average (Bs in the classes I have taken so far).
So, my question, is which one is better preparation for what I would like to do? Would the math degree be overkill (or would it be worth it?)? Also, should I take the statistics or the computer-science concentration?
statistics math
statistics math
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asked 19 hours ago
Russell PillingRussell Pilling
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put on hold as primarily opinion-based by Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 12 hours ago
Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.
put on hold as primarily opinion-based by Siong Thye Goh, Mark.F, Simon Larsson, Stephen Rauch♦ 12 hours ago
Many good questions generate some degree of opinion based on expert experience, but answers to this question will tend to be almost entirely based on opinions, rather than facts, references, or specific expertise. If this question can be reworded to fit the rules in the help center, please edit the question.
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