C++ Online Programming Course Testimonials

The most unique part of this course is its close alignment with the financial application. I mean there’re lots of C++ courses and books all over the world and internet for many years, and QuantNet C++ can teach the fundamental OOP and combine it with actual financial application.
 
I took this course to strengthen my C++ fundamentals and understand more about its application in the financial sector. The structured assignments and hands-on projects were extremely helpful in building both my understanding of C++ concepts and problem-solving ability. I particularly appreciated how the course focused on real-world applications relevant to quant roles.
 
I found this course through QuantNet while looking for a way to improve my C++ skills for finance. As a math major planning to enter quantitative finance, I realized that C++ is still an important language in the field. I chose this course because it has a very practical and structured curriculum, with great support from the TA.

During the course, I learned a lot not only about C++ syntax, but also about how to structure real financial engineering projects. The assignments helped me build strong foundations, and the final project brought everything together. It was sometimes challenging, but very rewarding.

Thank you for the great learning experience!
 
I enrolled in this C++ course to fulfill Baruch’s MFE application requirement and to build proficiency in a language still pervasive in financial engineering. The clear, practical assignments helped me quickly grasp core concepts—from object-oriented design to memory management—and apply them to real-world quantitative problems. Your timely feedback made the material both challenging and directly relevant to my career goals in quantitative finance.
 
I really learned a lot through this course, the arrangement of the course is reasonable. I believe it will help me greatly in my future career.
I was recommended by my teacher.
 
As someone who is trying to navigate through the ocean of “skills needed for breaking into quantitative finance” , the journey can be quite unclear and it is easy to get lost in everything. This course not only paves a path for you, but it also gives you C++ knowledge where you can be confident in knowing that you learned the nitty gritty details of syntax, logic, and object oriented techniques.

I’ve realized after I graduated, I fell in love with math and quantitative finance. It was a field where I could do computationally hard work and contribute by constantly engaging my critical thinking skills. I decided I want to pursue an MFE by 2027 and this was the first big step for me in my journey.
 
I found this course when first applying to Baruch's MFE Program. I had some coding experience, but not with C++, which was specifically required for admission into the program. For students who do not meet this requirement, Baruch recommends this QuantNet course, stating that its certificate would meet the C++ requirement. This, and later learning that it is relatively well known / respected course, I decided to take it.
As I was taking the course, I was pleased with most explanations on the topics, including a general idea, perhaps a tangible analogy, and then some utility and examples. I was also happy to see the lots of sample code provided to us so that we may experiment and play with already working code. I also appreciated the suggestions throughout regarding other texts / resources for more information on whatever topic in question.
In general, it was a very informative course, with easy-to-follow lectures and interesting, albeit occasionally difficult, quizzes and homework assignments.
 
Choosing to dive into C++ at Baruch College was a deliberate step in shaping my academic and professional path. My primary drive stems from a strong ambition to pursue a Master of Financial Engineering (MFE) and to build a robust understanding of quantitative finance.

From the outset, I recognized that in the modern financial landscape, deep theoretical knowledge alone isn't enough. The ability to translate complex financial models into actionable, high-performance systems is critical. C++ stands out as the foundational language for this, powering everything from high-frequency trading platforms to sophisticated risk management tools and derivative pricing engines. For me, mastering C++ is less about simply learning code and more about acquiring the essential toolkit for real-world financial applications.

Baruch's MFE program holds a reputation that deeply resonates with my aspirations. It's about setting myself up for success, ensuring I have the necessary groundwork to tackle advanced algorithms and implementations within the MFE curriculum.

Beyond the MFE, my broader goal is to genuinely understand the mechanics of finance. C++ offers a unique lens through which to explore this. By coding pricing models, simulating market behaviors, or implementing risk analytics, I anticipate gaining a far more intuitive and practical grasp of financial concepts than through theoretical study alone. Baruch's standing in business and finance, combined with the practical bent of its curriculum, made it the obvious choice for developing this specialized blend of quantitative and financial knowledge. This course isn't just a requirement; it's a strategic investment in my future capabilities.
 
This course was extremely helpful in building my foundational knowledge of C++ while applying it to practical problems in financial engineering. I chose this course because I wanted to strengthen my programming skills in a language widely used in quantitative finance, and to understand how computational methods are used in pricing and risk modeling. The course provided a well-balanced mix of theory and hands-on implementation, which allowed me to connect numerical techniques with real-world financial problems.
 
The CMU MSCF admissions recommended this course to me. I find it very helpful for someone who wants to do quant finance.

Overall, I loved this course. It helped me learn a lot about C++ and prepared me for my masters program.

However, I thought part e in Level 9 was very tricky, especially for Mac users. If there is a formal documentation that lists all procedures, common mistakes, and solutions for Mac users, I would find it extremely helpful.

Overall, it was still a great course, I would recommend it to my friends.
 
The course is excellent! The content is taught in a well-balanced structure, the videos are clear and intuitive, and the homework provides a great exercise for consolidation. I found this course when searching for materials that would prepare me for a master’s degree in financial engineering, and the main reason for me to take this course is to learn C++ and learn more about the application of C++ in financial industry.
 
The curriculum is demanding, challenging, and extremely rewarding at the time of finish. It provides a solid landscape of C/C++ that cover equivalent materials that might be from 2-3 CS undergraduate level classes, so the ROI is immense. Learning the materials takes self-discipline and dedication, and I am very proud to finish strong in this journey.
 
My TA, APalley, was excellent. His feedback on the HW assignments were instrumental to my learning. Throughout the course, the grading was fair and prompt (often 24 hours or less). The rapid feedback helped me to complete the course in only 6 weeks, which allowed me to take a second course over the summer.

Overall, I was impressed by the high quality of the course materials and number of topics covered. I cannot recommend this course enough for those looking to build a strong foundation in C++.
 
It is a great course! I have learnt a lot from it. When I applied for my MFE degree, I searched for information on the QuantNet forum, and I noticed that this course is helpful in some top MFE program applications, such as Baruch MFE and CMU MSCF. Learning C++ enhanced my coding skills, especially my understanding of OOP. It is a great journey and thanks for everything.
 
It was a nice experience taking the course especially the assignments helped me understand the course in depth. Having worked very less with c++ before, I am able to understand c++ very fast through this course. Currently in our company Opensource Risk Engine (ORE) software is used for derivatives pricing and risk management and its written in c++. To understand the source code of the software in depth and extend it, I am taking this course. I have the course online and found its description interesting as well as access to the forum. My department head also knows Prof. Daniel Duffy and encouraged to take this course.
 
I learned a lot about C++. Although I am a software engineer team lead in a finance company, I find it fills a lot of knowledge gaps I didn’t know I have. I wanted to transition to quant dev/algo trading dev, and in preparing for that I searched and found this course.
 
I found this course because of the suggestion of a colleagues of mine. This course is intense, challenging and in a short time give you a very wide amount of tools in C++. To me, without previous experience in C++ , it was a journey in a new coding style , and it ignited in me the will to go on an improve in this field.
 
I had a great experience taking this course. I came with a background of having taken two C++ introduction courses in college, and took this course to fulfill the requirements for the CMU MSCF program as well as to learn more about the applications of C++ in the field of quantitative finance. I think it was very rewarding -- it was a good refreshment of C++ basics for me, I learned more advanced techniques in C++, and I found the Level 9 Applications Module especially interesting and useful as it's my first time learning to write financial engineering programs in C++. Also, I'm very thankful for the TAs' help and feedback throughout the course. It was a very Great experience overall, though sometimes it took time to think carefully and look through the forum to figure out a great answer and it was a little hard to navigate stuff in the beginning. I would definitely recommend the course to those who want to pursue a career in quant finance as well.
 
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