Mathematics B.S./Statistics and Data Science M.S.
Admission Requirements
Complete the following admission requirements:
- Current admission into a baccalaureate degree program
- At least a 3.0 cumulative GPA
- Completion of 24 credits in the undergraduate major program requirements
- Junior standing
Minimum Requirements for Mathematics B.S./Statistics and Data Science M.S.: 138 credits
Students must earn a C- grade or better in each course.
Code | Title | Credits |
---|---|---|
General University Requirements | ||
Complete the general university requirements. | ||
General Education Requirements | ||
Complete the general education requirements. | 36-40 | |
As part of the general education requirements, complete the following: | ||
Calculus II | ||
B.S. Degree Requirements | ||
Complete the B.S. degree requirements. | 16 | |
As part of the B.S. requirements, complete the following: | ||
Calculus III | ||
College Physics I and College Physics II | ||
General Physics I and General Physics II | ||
Undergraduate Mathematics Program Requirements | ||
Complete the following: | ||
CS F201 | Computer Science I | 3 |
or NRM F338 | Introduction to Geographic Information Systems | |
ENGL F314 | Technical Writing | 3 |
or ENGL F414 | Research Writing | |
MATH F265 | Introduction to Mathematical Proofs | 3 |
MATH F314 | Linear Algebra | 3 |
MATH F371 | Probability | 3 |
MATH F401 | Introduction to Real Analysis | 3 |
or MATH F405 | Abstract Algebra | |
MATH F408 | Mathematical Statistics | 3 |
STAT F300 | Statistics | 3 |
STAT F401 | Regression and Analysis of Variance | 4 |
STAT F454 | Statistical Consulting Seminar 1 | 1 |
Upper-division mathematics or statistics electives 2 | 3 | |
General University Requirements | ||
Complete the graduate general university requirements. | ||
Master’s Degree Requirements | ||
Complete the master’s degree requirements. | ||
As part of the master's degree requirements, complete the following: | ||
STAT F698 | Non-thesis Research/Project | 6 |
Graduate Statistics and Data Science Program Requirements | ||
Complete the following: | ||
STAT F402 | Scientific Sampling | 3 |
STAT F651 | Statistical Theory I | 3 |
STAT F652 | Statistical Theory II | 3 |
STAT F653 | Statistical Theory III: Linear Models | 3 |
STAT F654 | Statistical Consulting Seminar | 1 |
Complete two of the following: | 6 | |
Applied Multivariate Statistics | ||
Experimental Design | ||
Spatial Statistics | ||
Time Series | ||
Nonparametric Statistics and Machine Learning | ||
Categorical Data Analysis | ||
Bayesian Statistics | ||
Sampling Theory | ||
Complete the following: | ||
Graduate Statistics Electives 3 | 6 | |
Total Credits | 115-119 |
- 1
Fulfills the baccalaureate capstone requirement.
- 2
Acceptable elective courses include any mathematics or statistics course at the F300 level or above. In some cases, courses with strong statistical content from other disciplines may be used as electives. Such an elective must be approved by an advisor in the Department of Mathematics and Statistics.
- 3
Acceptable elective courses include any statistics course at the F600 level or above. In some cases, courses with strong statistical content from other disciplines may be used as electives. Such an elective must be approved by an advisor in the Department of Mathematics and Statistics.
Note: All mathematics majors must have an advisor from the Department of Mathematics and Statistics.
Note: At least 12 approved mathematics or statistics credits at the F300 level or above must be taken while in residence on the Fairbanks campus.
Road Maps
Road Maps are recommended semester-by-semester plans of study for programs and assume full-time enrollment unless otherwise noted.
Some courses and milestones must be completed in the semester listed to ensure timely graduation. Transfer credit may change the road map.
This road map should be used in conjunction with regular academic advising appointments. All students are encouraged to meet with their advisor or mentor each semester. Requirements, course availability and sequencing are subject to change.
Mathematics B.S./Statistics and Data Science M.S. - Odd Year Start
First Year | ||
---|---|---|
Fall | Credits | |
LS F101X | Library Information and Research | 1 |
MATH F252X | Calculus II | 4 |
GER (Art) | 3 | |
GER (Lab Science I) | 3 | |
GER (WRTG) | 3 | |
Credits | 14 | |
Spring | ||
MATH F253X | Calculus III | 4 |
MATH F265 | Introduction to Mathematical Proofs | 3 |
GER (Social Science I) | 3 | |
GER (WRTG) | 3 | |
Elective (CS F103) | 3 | |
Credits | 16 | |
Second Year | ||
Fall | ||
CS F201 | Computer Science I | 3 |
MATH F314 | Linear Algebra | 3 |
PHYS F211X | General Physics I | 4 |
GER (Humanities) | 3 | |
Elective | 3 | |
Credits | 16 | |
Spring | ||
PHYS F212X | General Physics II | 4 |
STAT F300 | Statistics | 3 |
GER (COM) | 3 | |
Elective | 3 | |
Elective | 3 | |
Credits | 16 | |
Third Year | ||
Fall | ||
MATH F371 | Probability | 3 |
MATH F401 | Introduction to Real Analysis | 3 |
GER (Social Science I) | 3 | |
ANT Course | 3 | |
Elective | 3 | |
Credits | 15 | |
Spring | ||
MATH F408 | Mathematical Statistics | 3 |
STAT F401 | Regression and Analysis of Variance | 4 |
Math or Stat Elective (F400 level) | 3 | |
GER (Art/Social Science/Humanities) | 3 | |
Ethics Course | 3 | |
Credits | 16 | |
Fourth Year | ||
Fall | ||
STAT F402 | Scientific Sampling | 3 |
STAT F651 | Statistical Theory I | 3 |
GER (Lab Science II) | 4 | |
Elective | 3 | |
Elective | 3 | |
Credits | 16 | |
Spring | ||
STAT F454 | Statistical Consulting Seminar | 1 |
STAT F652 | Statistical Theory II | 3 |
Stat Elective (F600 level) | 3 | |
Elective | 3 | |
Elective | 3 | |
Credits | 13 | |
Fifth Year | ||
Fall | ||
MATH F698 | Non-thesis Research/Project | 3 |
Stat Elective (F600 level) | 3 | |
Stat Elective (F600 level) | 3 | |
Credits | 9 | |
Spring | ||
STAT F653 | Statistical Theory III: Linear Models | 3 |
STAT F654 | Statistical Consulting Seminar | 1 |
STAT F698 | Non-thesis Research/Project | 3 |
Stat Elective (F600 level) | 3 | |
Credits | 10 | |
Total Credits | 141 |
Mathematics B.S./Statistics and Data Science M.S. - Even Year Start
First Year | ||
---|---|---|
Fall | Credits | |
LS F101X | Library Information and Research | 1 |
MATH F252X | Calculus II | 4 |
GER (Art) | 3 | |
GER (Lab Science I) | 3 | |
GER (WRTG) | 3 | |
Credits | 14 | |
Spring | ||
MATH F253X | Calculus III | 4 |
MATH F265 | Introduction to Mathematical Proofs | 3 |
GER (Social Science I) | 3 | |
GER (WRTG) | 3 | |
Elective (CS F103) | 3 | |
Credits | 16 | |
Second Year | ||
Fall | ||
CS F201 | Computer Science I | 3 |
MATH F314 | Linear Algebra | 3 |
MATH F371 | Probability | 3 |
PHYS F211X | General Physics I | 4 |
GER (Humanities) | 3 | |
Credits | 16 | |
Spring | ||
MATH F408 | Mathematical Statistics | 3 |
PHYS F212X | General Physics II | 4 |
STAT F300 | Statistics | 3 |
GER (COM) | 3 | |
Elective | 3 | |
Credits | 16 | |
Third Year | ||
Fall | ||
MATH F401 | Introduction to Real Analysis | 3 |
Math or Stat Elective (F400 level) | 3 | |
GER (Social Science I) | 3 | |
ANT Course | 3 | |
Elective | 3 | |
Credits | 15 | |
Spring | ||
STAT F401 | Regression and Analysis of Variance | 4 |
GER (Art/Social Science/Humanities) | 3 | |
Ethics Course | 3 | |
Elective | 3 | |
Elective | 3 | |
Credits | 16 | |
Fourth Year | ||
Fall | ||
STAT F402 | Scientific Sampling | 3 |
STAT F651 | Statistical Theory I | 3 |
GER (Lab Science II) | 4 | |
Elective | 3 | |
Elective | 3 | |
Credits | 16 | |
Spring | ||
STAT F454 | Statistical Consulting Seminar | 1 |
STAT F653 | Statistical Theory III: Linear Models | 3 |
Stat Elective (F600 level) | 3 | |
Elective | 3 | |
Elective | 3 | |
Credits | 13 | |
Fifth Year | ||
Fall | ||
MATH F698 | Non-thesis Research/Project | 3 |
Stat Elective (F600 level) | 3 | |
Stat Elective (F600 level) | 3 | |
Credits | 9 | |
Spring | ||
STAT F652 | Statistical Theory II | 3 |
STAT F654 | Statistical Consulting Seminar | 1 |
STAT F698 | Non-thesis Research/Project | 3 |
Stat Elective (F600 level) | 3 | |
Credits | 10 | |
Total Credits | 141 |