Top 5 Tips for Succeeding as a Data Science Ph.D. Student
- Have the Right Mindset
- Organize Your Time
- Ask Questions
- Learn Python
- Think of a Research Project
The field of data science is one of the fastest-growing professions in the tech industry, and dedicated Ph.D. students can have success by following a few simple guidelines. As in any Ph.D. program, it’s important to have a genuine love of the subject to ensure that the research will be engaging, fresh and original. Professors of Ph.D. students tend to be very demanding, especially in technical subjects that require a lot of math and computer science. With the right attitude and a deep interest in data science, anyone can succeed as a Ph.D. student.
Related resource: Top 10 Best Data Science Ph.D. Online Programs
1. Have the Right Mindset
Pursuing a Ph.D. in data science is a very challenging process that requires focus, preparation and a strong interest in discrete mathematics, probability theory, and computer science. Most jobs in data science require at least a master’s degree, and a Ph.D. is preferable in many cases. Data science is a field that demands sacrifice and dedication from those who take it up professionally. Professors in data science Ph.D. programs typically put a lot of pressure on their students to perform at a very high level. Ph.D. students have to learn how to sustain this level of intellectual rigor over the course of the program.
2. Organize Your Time
The key to consistently performing at a high level is effectively organizing your time. Data science students who want to have the responsibility and recognition that comes with a Ph.D. degree have to give up some of the comforts that they may have gotten used to as undergraduates. Graduate school is where Ph.D. students learn to do intellectual work professionally, and part of being a professional is getting used to being judged harshly. Effective time organization is essential for data science Ph.D. students because it helps to remove distractions and provide the structure needed for intellectual rigor.
3. Ask Questions
In a Ph.D. program, professors are always available to answer questions and help their students succeed. Other graduate students can also be a valuable resource for answers to difficult problems and help with research projects. According to the U.S. Bureau of Labor Statistics, the field of data science is expected to grow by 19 percent over the next 10 years, which is much faster than average. That means there will be many data science professionals available to answer questions on forums such as Quora, Stack Exchange, and Stack Overflow. These platforms can help Ph.D. students gain additional perspective during graduate school.
4. Learn Python
Data science doesn’t require advanced programming skills, but it does require proficiency in object-oriented scripting languages, such as Python or Ruby. These languages are used to create simple machine learning programs for analyzing large sets of data. Ph.D. students should ideally be skilled Python programmers before entering graduate school.
5. Think of a Great Research Project
The capstone project is the most important part of a graduate program. Professors put extra emphasis on the research and creativity required to come up with an idea for a project and produce useful results. Publishing research findings is the primary responsibility of a data scientist working in academia.
Studying data science is an exciting way to learn about the patterns underlying social and economic trends. The best way to succeed in a data science Ph.D. program is to eliminate distractions and learn to consistently perform high-quality intellectual work.