Applied math vs. statistics PhD - job prospects

Click For Summary
SUMMARY

The job prospects for a PhD in statistics are currently strong, particularly in data mining, analytics, and bioinformatics. Statistics PhDs have favorable opportunities in both industry and academia, especially when focusing on data mining and machine learning applications. In contrast, job prospects for an applied math PhD vary significantly based on specialization, with computing-related fields offering better opportunities. Institutions like Cornell and Princeton allow students to earn a statistics PhD while pursuing an applied math PhD, providing flexibility for those interested in bioinformatics.

PREREQUISITES
  • Understanding of bioinformatics and systems biology
  • Familiarity with data mining and machine learning techniques
  • Knowledge of applied mathematics and its various specializations
  • Awareness of academic and industry job markets for PhD graduates
NEXT STEPS
  • Research the latest trends in bioinformatics job markets
  • Explore advanced statistics programs with a focus on data mining
  • Investigate applied math specializations that enhance employability
  • Learn about the curriculum and opportunities at Cornell and Princeton for dual degrees
USEFUL FOR

Math majors, prospective PhD candidates in applied mathematics or statistics, and professionals seeking to understand job prospects in academia and industry related to bioinformatics and data analytics.

g4MMa
Messages
1
Reaction score
0
Applied math vs. statistics PhD -- job prospects

I'm a math major considering pursuit of a PhD in applied math or stats when I graduate. I'm trying to ascertain the job prospects in these fields. Can anyone provide some information on how readily jobs are available in industry and academia in these fields, what the pay is like, etc.? Do those with a PhD in one of these disciplines fare considerably better than those with a PhD in the other? What are the pros/cons of the two degrees?

I'm particularly interested in applications of math to biology -- bioinformatics, systems biology, etc. What postgraduate degree would be best for pursuing work in these fields?

Any information or advice on these topics is much appreciated. Thanks.
 
Physics news on Phys.org


As a statistician currently working in industry, I can definitively say that the job prospects for a statistics PhD are quite good (at least for now), especially in the emerging fields of data mining, analytics, and bioinformatics. At least anecdotally, I have heard that job prospects for academia are not too bad for statistics PhDs (at least compared to those of other disciplines).

I'm not certain about the job prospects for an applied math PhD, however -- it would largely depend on which area of applied math you intend to specialize in, with those specializing in some form of computing having greater job prospects than others. Please note that in some grad schools, one can earn practically an equivalent of a statistics PhD while working towards your applied math PhD (both Cornell and Princeton are such schools).

If your particular interest is in pursuing research in bioinformatics, I would think that a statistics PhD program with a strong emphasis on data mining/machine learning would be a good place to pursue your studies, since the methods developed in machine learning and data mining tend to be applied to large scale genomic and proteomic analyses.

Now as a disclaimer, please keep in mind that what I have stated above applies to the job prospects for people completing their statistics Masters or PhDs at this time. While I do not personally anticipate that the situation will differ dramatically within the next 5 years (the time frame in which presumably you will complete your PhD), it is difficult if not impossible to say for certain what the job prospects of any field will be like within that time.
 
Last edited:

Similar threads

  • · Replies 15 ·
Replies
15
Views
3K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
3K
  • · Replies 13 ·
Replies
13
Views
14K
Replies
31
Views
6K
  • · Replies 3 ·
Replies
3
Views
5K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 21 ·
Replies
21
Views
6K