Discussion Overview
The discussion centers on the marketability of a Master's degree in Data Mining, particularly from the perspective of career statisticians. Participants explore the implications of pursuing this degree versus a more traditional Master's in Statistics, considering factors such as coursework, career prospects, and personal circumstances.
Discussion Character
- Debate/contested
- Technical explanation
- Conceptual clarification
Main Points Raised
- One participant expresses interest in pursuing a Master's in Data Mining, citing a background in Economics and SAS programming, and seeks opinions on its marketability.
- Another participant recommends pursuing a Master's in Statistics instead, arguing that the Data Mining program may lack sufficient statistical coursework necessary for a career as a statistician.
- There is a suggestion to explore probability modeling and Bayesian modeling as important areas of study for those interested in data mining.
- One participant notes personal constraints that limit options for relocating to a better program but emphasizes the desire to break into the field of statistics for better career prospects.
- A participant questions the choice of a Data Mining program over a Statistics program, asking for the reasoning behind this decision.
- Another participant reiterates the recommendation for a Master's in Statistics, asserting that a solid foundation in statistics would make learning data mining easier compared to the reverse.
Areas of Agreement / Disagreement
Participants generally agree that a Master's in Statistics is preferable for those aiming to become statisticians, while there is disagreement on the value of a Master's in Data Mining. The discussion remains unresolved regarding the specific marketability of the Data Mining program.
Contextual Notes
Participants express concerns about the adequacy of the Data Mining program's coursework and its potential impact on career opportunities. There are also personal circumstances affecting decisions about pursuing further education.