Which is Harder: a Bachelor in Math or CS?
It's a common question in academic circles: When it comes to earning a bachelor's degree, is a BA in mathematics or a BS in computer science more challenging? The answer often depends on the context and the specific requirements of the degree program. Let's delve into the nuances that might affect the difficulty of each degree.
Initial Difficulty: Math vs. CS
At the introductory level, math courses like Calculus I can be perceived as more theoretical and conceptually dense compared to an introductory CS/programming course. These fundamental math courses often involve rigorous proofs and complex problem-solving, which can be challenging for students who are not well-versed in mathematical reasoning. On the other hand, introductory programming courses are more practical and often easier to grasp, especially for those with a background in coding or technology.
The Progression of Difficulty: Math vs. CS
As students progress through their undergraduate years, the difficulty levels of math and computer science courses tend to shift. In higher-level courses, such as those in the junior and senior years, computer science becomes more conceptually advanced and relies heavily on mathematical principles. For example, upper-level courses in computer science often require students to understand and apply concepts from discrete mathematics, linear algebra, and probability theory. A strong math foundation can be a significant advantage in these advanced CS courses.
Conversely, while math may start familiar for students with a background in the subject, advanced courses like Real Analysis can present a steep learning curve. These courses can be emotionally and mentally taxing, as evidenced by the tears, stress, and sleepless nights many students experience during the course. This period might be seen as the most challenging in a math degree program.
School-Specific Differences
The difficulty of earning a bachelor's degree in either math or computer science can also vary significantly based on the institution. For instance, if you attend a top-tier math department, the challenges of a math degree might be more pronounced compared to a similar institution's computer science program. On the other hand, if you attend a competitive computer science department, the challenges might be reversed.
At an institution where both math and computer science departments are similarly prestigious, the difficulty can be more comparable. In my case, I pursued both degrees simultaneously, and I observed that both programs presented unique challenges. CS courses initially seemed more daunting due to the rapid pace and the integrated nature of coding projects, which required simultaneous problem-solving and debugging. However, as the courses progressed, I found myself becoming more confident in my learning process.
Personal Experience and Perspective
My personal experience with both degrees highlights the subjective nature of difficulty. When I embarked on my computer science degree, I was initially intimidated by programming languages, but over time, the projects and problem-solving became more manageable. This journey taught me that the difficulty can also depend on individual experiences and prior knowledge. Notably, some students drop the CS program and switch to electrical engineering, which can be more familiar territory for them.
On the other hand, my math degree presented a different set of challenges. Advanced courses such as Real Analysis required not only understanding complex theoretical concepts but also the ability to engage in rigorous proof-based problem-solving. This period was marked by late nights and intense study sessions, which, in hindsight, were crucial for my development as a mathematician.
Ultimately, whether a bachelor's degree in math or computer science is harder is a matter of personal perspective and context. Both disciplines demand rigorous study and critical thinking, but the specific challenges and pacing can differ. As with any academic pursuit, the key is to stay disciplined, seek help when needed, and maintain a supportive network of peers and mentors.