Career Statisticians: Masters in Data Mining Marketability

In summary, if you want to become a statistician, it is recommended to pursue a Masters in Statistics with a strong foundation in probability modeling, Bayesian modeling and inference, and signal processing. While the program you have considered may have some relevant courses, it may not provide the necessary depth and breadth of knowledge in statistics. Additionally, if you have the option, it is recommended to choose a Masters in Statistics program over a data mining program. With a Masters in Statistics, you can easily learn data mining skills, but it will be much harder to learn statistics with a focus on data mining. Ultimately, a Masters in Statistics will better prepare you for a successful career in this field.
  • #1
mynameisfunk
125
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I am curious for the opinion of career statisticians on how marketable a Masters in Data Mining would be. I am currently a high school math teacher who has a degree in Economics. In college I had intended to pursue grad studies for statistics and have some SAS programming experience as well as a pretty good amount of statistics undergrad courses under my belt. I left college when I felt like I needed a break from being a student and now am considering going back. I had always wanted to be a statistician. Here is a link to the program I want to apply to:
http://www.graduatecatalog.ucf.edu/programs/program.aspx?id=1424&tid=810
 
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  • #2
Hey mynameisfunk.

My recommendation is if you want to be a statistician then do a Masters in Statistics with proper graduate coursework.

The program you showed looks a little light with regards to the statistical coursework and more like an applications coursework for specific data mining techniques.

If you ever have to use your own techniques or quickly adapt to other techniques submitted by other researchers and experts, then it's going to be a lot harder if you don't have the right background in statistics.

With regards to data mining, I would suggest you look at probability modelling and also look at Bayesian Modelling and Inference.

You should also look at signal processing in some degree to get an idea of how patterns are extrapolated from general signals (think data) and how classification works in this domain.

In summary, if you want to be a statistician then do a proper Masters course. If you want to do data mining, I would still suggest you get the appropriate experience in a broad set of statistical courses at a high level and supplement them with the relevant computer science courses, along with the appropriate applied mathematics courses.
 
  • #3
Chiro, thanks for the input.

I don't really have a whole lot of options as far as moving to another city to enter into a much better program because I am not single and have a son. However, I would really like to break into the field and I feel like I need a master's degree to do it. I thoroughly enjoyed statistics and statistical programming and feel like I would enjoy the career more and make a better living for my family. Teachers in my state don't make a whole lot of money. I realize that the program is not the best as it is unranked and relatively new, but I was hoping for some opinion as to whether people in the professional community have an opinion as to whether or not the program would lead to a good job or not.
 
  • #4
With regards to being a statistician, you will need to have a Masters in Statistics and the courses that you have listed in terms of the electives do have quite a lot of content that is relevant to this pathway.

Does the university offer a Masters in Statistics program as opposed to a data mining program? If so, what reasons do you have for choosing the data mining program over the statistics program?
 
  • #5
I'll second chiro's recommendation. Get a Masters in Stats, because data mining is too specific to be worth doing a Masters. You will easily learn data mining with a thorough grounding in stats, but the reverse will be much harder.
 

Related to Career Statisticians: Masters in Data Mining Marketability

1. What is the job outlook for career statisticians with a masters in data mining?

The job outlook for career statisticians with a masters in data mining is very positive. The demand for professionals with expertise in data analysis and data mining is rapidly increasing in various industries, including finance, healthcare, and technology. According to the Bureau of Labor Statistics, the employment of statisticians is projected to grow 31% from 2020 to 2030, much faster than the average for all occupations.

2. What skills do I need to be a successful career statistician with a masters in data mining?

To be a successful career statistician with a masters in data mining, you need to have a strong foundation in statistics, mathematics, and computer science. You should also possess excellent analytical and problem-solving skills, as well as a keen eye for detail. Proficiency in programming languages such as R, Python, and SQL is also essential for data mining and analysis.

3. What industries can I work in with a masters in data mining?

With a masters in data mining, you can work in a variety of industries, including finance, healthcare, retail, marketing, and technology. Many companies in these industries are actively seeking professionals with data mining skills to help them make data-driven decisions and gain a competitive edge in the market.

4. What is the average salary for career statisticians with a masters in data mining?

The average salary for career statisticians with a masters in data mining varies depending on factors such as experience, location, and industry. According to Glassdoor, the average base pay for a data scientist with a masters degree is $118,709 per year. However, this can range from $93,000 to over $150,000 per year, depending on the aforementioned factors.

5. How can I make myself more marketable as a career statistician with a masters in data mining?

To make yourself more marketable as a career statistician with a masters in data mining, you can continue to enhance your skills and knowledge through online courses, workshops, and conferences. It is also beneficial to gain hands-on experience through internships or projects, and to build a strong professional network. Additionally, obtaining certifications in data mining and related fields can also make you stand out to potential employers.

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