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BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers
 
Rachel Levy Harvey Mudd College, Claremont, CA
Richard Laugesen University of Illinois at Urbana-Champaign
Fadil Santosa University of Minnesota, Minneapolis
A publication of Society for Industrial and Applied Mathematics
BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers
Softcover ISBN:  978-1-611975-28-4
Product Code:  BIGG
List Price: $25.00
AMS Member Price: $20.00
Please note AMS points can not be used for this product
BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers
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BIG Jobs Guide: Business, Industry, and Government Careers for Mathematical Scientists, Statisticians, and Operations Researchers
Rachel Levy Harvey Mudd College, Claremont, CA
Richard Laugesen University of Illinois at Urbana-Champaign
Fadil Santosa University of Minnesota, Minneapolis
A publication of Society for Industrial and Applied Mathematics
Softcover ISBN:  978-1-611975-28-4
Product Code:  BIGG
List Price: $25.00
AMS Member Price: $20.00
Please note AMS points can not be used for this product
  • Book Details
     
     
    2018; 141 pp
    MSC: Primary 00; 97

    Jobs using mathematics, statistics, and operations research are projected to grow by almost 30 percent over the next decade. BIG Jobs Guide helps job seekers at every stage of their careers in these fields explore opportunities in business, industry, and government (BIG).

    Written in a conversational and practical tone, BIG Jobs Guide offers insight on topics such as (1) What skills can I offer employers? (2) How do I write a high-impact resume? (3) Where can I find a rewarding internship? (4) What kinds of jobs are out there for me?

    This book also offers insights to advisors and mentors on topics such as how departments can help students get BIG jobs and how faculty members and internship mentors can build institutional relationships.

    Whether you're an undergraduate or graduate student or a job seeker in mathematics, statistics, or operations research, this hands-on book will help you reach your goal—landing an internship, getting your first job, or transitioning to a new one.

    You may also be interested in connecting with the BIG Math Network where you will find a wealth of resources. The BIG Math Network brings together the Mathematical Sciences community (including pure and applied mathematics, statistics, operations research and data science).

    Readership

    Undergraduate and graduate students or job seekers in mathematics, statistics, or operations research.

  • Additional Material
     
     
  • Requests
     
     
    Review Copy – for publishers of book reviews
    Accessibility – to request an alternate format of an AMS title
2018; 141 pp
MSC: Primary 00; 97

Jobs using mathematics, statistics, and operations research are projected to grow by almost 30 percent over the next decade. BIG Jobs Guide helps job seekers at every stage of their careers in these fields explore opportunities in business, industry, and government (BIG).

Written in a conversational and practical tone, BIG Jobs Guide offers insight on topics such as (1) What skills can I offer employers? (2) How do I write a high-impact resume? (3) Where can I find a rewarding internship? (4) What kinds of jobs are out there for me?

This book also offers insights to advisors and mentors on topics such as how departments can help students get BIG jobs and how faculty members and internship mentors can build institutional relationships.

Whether you're an undergraduate or graduate student or a job seeker in mathematics, statistics, or operations research, this hands-on book will help you reach your goal—landing an internship, getting your first job, or transitioning to a new one.

You may also be interested in connecting with the BIG Math Network where you will find a wealth of resources. The BIG Math Network brings together the Mathematical Sciences community (including pure and applied mathematics, statistics, operations research and data science).

Readership

Undergraduate and graduate students or job seekers in mathematics, statistics, or operations research.

Review Copy – for publishers of book reviews
Accessibility – to request an alternate format of an AMS title
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