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Genomics Curriculum
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The fields of genomics and bioinformatics are interdisciplinary and fast-evolving. Students from different background may need to strengthen different areas of knowledge. Below is a list of courses for students to consider.

Statistical foundation:
Biostatistical methods: Our department offers three levels of courses in biostatistical methods -- BIOST2011 (basic with nearly no calculus); BIOST2041 (regular graduate level); BIOST2039 (advanced level for Biostatistics graduate students).
BIOST 2043 - INTRODUCTION TO STATISTICAL THEORY 1
BIOST 2044 - INTRODUCTION TO STATISTICAL THEORY 2
BIOST 2049 - APPLIED REGRESSION ANALYSIS
BIOST 2063 - BAYESIAN DATA SCIENCE
BIOST 2096 - NUMERICAL METHODS BIOSTATISTICS
BIOST 2051 - STATISTICAL ESTIMATION THEORY BIOST 2083 - LINEAR MODELS Nonparametric theory (STAT2691)
ASYMPTOTIC METHODS IN STATISTICS (STAT2641)

Molecular biology and genetics courses:
BIOSC 1940/2940 Molecular Biology
BIOSC 2140 Genomics
HUGEN 2031 Chromosome and Human Disease
HUGEN 2040 Molecular Basis of Human Inherited Disease

Machine learning and statistical learning courses:
BIOST 2079 - INTRODUCTORY STATISTICAL LEARNING FOR HEALTH SCIENCES
BIOST 2080 - ADVANCED STATISTICAL LEARNING
Statistical Machine Learning (30702/10702)
Machine Learning (10701)

Genomics and bioinformatics courses:
BIOST 2055 - INTRODUCTORY HIGH-THROUGHPUT GENOMIC DATA ANALYSIS 1: DATA MINING AND APPLICATIONS
Bioinformatics for human genetics (PITT::HUGEN2070)
Human Population Genetics (HUGEN 2022)
Statistical Genetics (HUGEN 2080)
Computational Genomics (PITT::MSCBIO2070/CMU::02710)
Computational Molecular Biology and Genomics (CMU::02711)
Advanced Topics in Computational Genomics (CMU 02715)

Other computational courses:
Convex Optimization (36725/10725)
Probabilistic Graphical Model (10708)

Programming courses:
BIOST 2094 - ADVANCED R COMPUTING
PHARM 5384 Python for Data Management & Analytics
BIOST 2093 - SAS FOR DATA MANAGEMENT AND ANALYSIS
python (CMU 15112)
Algorithms and advanced data structure (CMU 02613)

Basic data analysis courses:
INFSCI 2725 Data Analytics
BIOST 2036 - INTRODUCTION TO HEALTH DATA SCIENCE
INFSCI 2160 Data Mining
INFSCI 2710 Database Management