Minor in Health Data Science

Take four courses for 12 credits (with a minimum grade of “C” or better required):

• PBHL-B 275 Probability Without Tears and Calculus (3 credits)
• PBHL-B 304 Biostatistics for Health Data Scientists: A Computational Approach (3 credits) – Prerequisite: MATH M118 or higher (PBHL-B 300 counts as a substitute for this class)
• PBHL-B 384 Classical Biostatistical Regression Methods (3 credits) – Prerequisites: PBHL-B 275 and PBHL-B 304 or PBHL-B 302 or PBHL-B 300 or PBHL-B 300 equivalent
• PBHL-B 420 Introduction to Biostatistical Learning (3 credits) – Prerequisites: Linear Algebra and PBHL-B 304 or PBHL-B 300 (or equivalent)

Choose one elective course for 3 credits (with minimum grade of “C” or better required):

• PBHL B352 Fundamentals of Data management in R (3 credits) – Offered Fall Only
• PBHL B481 Introduction to Biostatistical Computing (3 credits) – Prerequisite: PBHL B275

Required courses

Take three courses for 9 credits (with minimum grade of “C” or better required):

• PBHL B275 Probability without Tears and Calculus (3 credits)
• PBHL B280 Biostatistics for Health Data Scientists: A Computational Approach (3 credits) – Course number has been updated to PBHL-B304
• PBHL B481 Introduction to Biostatistical Computing (3 credits)

Elective courses

Choose two elective courses for 6 credits (with minimum grade of “C” or better required):

• PBHL B285 Classical Biostatistical Regression Methods (3 credits) – Course number has been updated to PBHL-B384
• PBHL B385 Contemporary Biostatistical Regression Methods (3 credits)
• PBHL B420 Introduction to Biostatistical Learning (3 credits)
• PBHL B490 Advanced Biostatistical Computing (3 credits)

Note: Please speak with a Fairbanks academic advisor about possible course substitutions to this old curriculum.