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Applied & Computational Mathematics Emphasis (ACME)
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Biostatistics

Course Requirements
Major Academic Plan
Career Paths

RequirementsClass NumberClass NameHours*OfferedPrerequisitesNotes
Complete FourCELL 120Science of Biology3:3:0F/W/Spr- If you are a Biology Major, BIO 130 is also accepted
BIO 264Statistical Analysis for Biologists4:4:0F/WBIO 130
or CELL 120
or MMBIO 121		 
STAT 230Statistical Modeling 13:3:0F/W/SpSTAT 121
or STAT 201		Recommended
It is strongly suggested that STAT 130 and MATH 112 be taken concurrently with or before STAT 230.
STAT 330Statistical Modeling 23:3:0F/WMATH 213
& STAT 230		Recommended
STAT 250 and MATH 113 are strongly recommended as a prerequisites or concurrent enrollment.
HLTH 345Principles of Epidemiology3:3:0WHLTH 313 
MMBIO 240Molecular Biology3:3:0F/W/SprBIO 130
or MMBIO 121
or CELL 120		Recommended
Chem 105 or Chem 111 (4 credits)
Possibly Indirectly RequiredHLTH 313Introduction to Data Collection and Analysis
3:3:0
F/W
-

STAT 201

or

STAT 121 preferred

Statistics for Engineers and Scientists3:3:0
F/W/Spr
MATH 112
or MATH 113
or MATH 119
Introduction to Statistical Data Analysis3:3:1F/W/Spr-Su/Spr/Su-Recommended
MATH 110 or equivalent

*Hours are Credit : Lecture : Lab

A double major in this field will also be accepted.

Biostatistics Concentration Recommended Schedule

Each concentration has 2 MAPs (Major Academic Plans); one for students who have completed MATH 113 (Start with EMC2) and those who have not (Start with Math 112).

Biostatistics: EMC2

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  • *Only complete 4 of these classes and choose the appropriate timing and prerequisite classes
  • It is recommended that you take the classes highlighted in blue as part of the EMC2 program (see EMC2.byu.edu).
  • Since this concentration does not require CS 235, ACME Major can count your EMC2 experience as your CS 111 credit, but it is recommended that you take CS 235 (with Prerequisite CS 111) before starting the Junior Core.

Biostatistics: No Prior Calculus Credit

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After graduation, students have gone into the both the workforce and graduate programs. The following table shows some of the career paths our graduates have followed:
The job titles and graduate degree fields listed below are representative examples of the career and educational paths pursued by our graduates. Many additional opportunities are available depending on your interests and career goals.

Sample Job Titles


  • Data Scientist
  • Research Statistician
  • Software Engineer

Sample Graduate School Degrees


Master's Degrees

  • Computational Science, Engineering and Mathematics (CSEM program)
  • Biostatistics

    Doctoral Degrees (PhD)

    • While we do not currently have alumni-reported Doctoral Degree outcomes for this concentration, graduates are well prepared to pursue a wide range of professional and educational opportunities.