<p>First of all, note that you have to take only ONE Quantitative Reasoning course. Your QR options are here:</p>
<p>[HERS</a> Output](<a href=“http://webdocs.registrar.fas.harvard.edu/courses/core/QuantitativeReasoning.html]HERS”>http://webdocs.registrar.fas.harvard.edu/courses/core/QuantitativeReasoning.html)</p>
<p>Many of these are fairly easy. Of course, if you want to learn something useful, you might want to go for something you’re not too familiar with. I’ll note that you should be slightly wary of core courses, and (if they’re available) check their CUE ratings. Some are very well taught, but some aren’t.</p>
<p>Don’t forget to look at the list of departmental courses at the bottom of the page- if you’re not interested in taking a core course, there are many, many options. If you’re interested in government, try </p>
<p>Government 50. Introduction to Political Science Research Methods
[Government 1000. Quantitative Methods for Political Science I]
[Government 1015. Strategic Models of Political Economy]</p>
<p>(The second two, unless I’m mistaken, will not be given this particular year, but should be the year after). If you like Economics:</p>
<p>Economics 1123. Introduction to Econometrics
Economics 1126. Quantitative Methods in Economics</p>
<p>And I personally have two recommendations. I think that learning computer programming is wonderfully useful, though it can be very difficult for people that aren’t interested in math (there is very little math involved, but math-oriented people often tend to do better). So there are some courses that deal with computers:</p>
<p>Quantitative Reasoning 20. Computers and Computing
Computer Science 1. Great Ideas in Computer Science
Computer Science 50. Introduction to Computer Science I</p>
<p>Please note that CS 50 is, to someone who hasn’t done programming before, a challenging course (expect over ten hours of work a week). However, it’s my favorite course that I’ve taken yet at Harvard- it can be extremely rewarding. The course is also very well managed and the administration is EXTREMELY helpful.</p>
<p>My second recommendation, since I’m a statistics major, is to take a Stat course. Statistical innumeracy is, in my opinion, a big problem among humanities students (and even science students!).</p>
<p>Quantitative Reasoning 32. Uncertainty and Statistical Reasoning
Quantitative Reasoning 50. Medical Detectives
Statistics 100. Introduction to Quantitative Methods for the Social Sciences and Humanities
Statistics 101. Introduction to Quantitative Methods for Psychology and the Behavioral Sciences
Statistics 102. Fundamentals of Biostatistics
Statistics 104. Introduction to Quantitative Methods for Economics
Statistics 105. Real-Life Statistics: Your Chance for Happiness (or Misery)
Statistics 110. Introduction to Probability</p>
<p>Of these, Statistics 100 is almost certainly the best fit for you. It is designed for humanities majors, but it has plenty of very useful information about statistics that would help you whatever field you enter.</p>
<p>I’d also like to add that I recommend against taking the Math Xa/b track. For one thing, it is two courses instead of one- if you’re not interested in math, take something else with that second course! Also, you’ve already taken AB Calc, why would you basically take it again? Finally, if you don’t enter math or science, it is very, very, very unlikely you will ever need calculus again. However, statistics, computer science, and the appropriate government or econ courses have great applications in the humanities (which I feel are underused). I strongly recommend you look at that set of courses.</p>