No, it's a very popular major!

Data Science and Big Data Technology are popular fields in today's Internet age, and they offer great opportunities and challenges. As an emerging field, data science and big data technologies have a very promising future.

Data science and big data technologies require a solid foundation in math and statistics.

When performing data analysis and mining, you need to use math and statistics to solve practical problems. Without sufficient math and statistical knowledge reserves, it is easy to make mistakes or fail to draw accurate conclusions in the actual operation.

Data science and big data technologies require strong computational and programming skills.

Processing large-scale data requires the use of efficient algorithms and programming skills to improve the efficiency of data processing and analysis. At the same time, data scientists need to have good data visualization and communication skills in order to present complex data results in a clear and concise manner to non-specialists.

Data science and big data technologies also face issues of data privacy and security.

Data collection and processing need to be conducted in compliance with relevant laws and regulations, and measures need to be taken to protect the security of personal information. With the frequent occurrence of data breaches and misuse, data scientists need to be constantly vigilant and strengthen their awareness of data privacy and security protection.

The rapid development of data science and big data technologies has also brought about fierce competition for talent.

More and more people are choosing to enter this field, making the job market highly competitive. To succeed in this field, you need to keep learning and updating your knowledge to stay current.

Overall, data science and big data technology is a field full of opportunities and challenges. Only people with a solid foundation in mathematics and statistics, strong computational and programming skills, good data visualization and communication skills, and the ability to protect data privacy and security will be able to excel in this field. For those interested in data science and big data technologies, it is both a pit and a treasure, and the key is to explore and capitalize on the opportunities within.