Livestock Data Science, Post-Baccalaureate Certificate

Location(s): West Lafayette

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About the Certificate

This Graduate Certificate in Livestock Data Science provides various complementary opportunities for Purdue graduate students (at both MS and PhD levels) to improve their knowledge and data science skills in the context of sustainable livestock production.

Certificate Requirements

12 Credits Required

Animal Sciences Selectives (3 credits)

ANSC 51300 - Design Of Animal Breeding Programs Credit Hours: 3.00
ANSC 52200 - Monogastric Nutrition Credit Hours: 3.00
ANSC 52400 - Ruminant Nutrition And Physiology Credit Hours: 3.00
ANSC 53400 - Advanced Reproductive Physiology Credit Hours: 3.00
ANSC 55200 - Advanced Meat Science Credit Hours: 3.00
ANSC 59500 - Special Topics In Animal Sciences Credit Hours: 0.00 to 3.00
Titles:
- Advanced Animal Welfare Assessment - Credit Hours: 3.00
- Quantitative Genomics Applied to Breeding - Credit Hours: 3.00
- Modeling Pig Growth - Credit Hour: 1.00
ANSC 62000 - Proteins And Amino Acids In Nutrition Credit Hours: 3.00
ANSC 66000 - Intestinal Microbiology And Immunology Credit Hours: 1.00
BIOL 58000 - Evolution Credit Hours: 3.00

Computing and Data Sciences Selectives (6 credits)

ABE 59000 - Special Problems Credit Hours: 1.00 to 6.00 Title: Advanced Bioinformatics - Credit Hours: 3.00
ABE 59100 - Special Topics Credit Hours: 0.00 to 4.00 Title: Big Data Analytics and HPC - Credit Hours: 3.00
AGRY 59800 - Special Problems Credit Hours: 1.00 to 6.00 Title: R for Beginners in Agriculutre - Credit Hours: 3.00
ANSC 51600 - Molecular Microbiome Analysis Credit Hours: 3.00
ASM 59100 - Special Topics Credit Hours: 1.00 to 4.00
Titles:
- Intro to Ag Informatics - Credit Hours: 3.0
- Research & Practice in Ag Informatics - Credit Hours: 3.00
BCHM 52100 - Comparative Genomics Credit Hours: 3.00
BCHM 61200 - Bioinformatic Analysis Of Genome Scale Data Credit Hours: 3.00
BCHM 69500 - Special Topics In Biochemistry Credit Hours: 1.00 to 4.00 Title: Intro to R and Bioconductor - Credit Hours: 3.00
BIOL 59500 - Special Assignments Credit Hours: 0.00 to 18.00 Title: Introduction to Bioinformatics - Credit Hours: 3.00
CS 54100 - Database Systems Credit Hours: 3.00
CS 57300 - Data Mining Credit Hours: 3.00
CS 57800 - Statistical Machine Learning Credit Hours: 3.00
CS 57900 - Bioinformatics Algorithms Credit Hours: 3.00
CS 59000 - Topics In Computer Sciences Credit Hours: 1.00 to 5.00
Titles:
- Data Engineering I - Credit Hour: 1.00
- Foundations of CS - Credit Hour: 1.00
- Computing for Life Sciences - Credit Hour: 1.00
- Data Engineering II - Credit Hour: 1.00
- Numerical Computing for DS - Credit Hour: 1.00
- Deep Learning - Credit Hour: 1.00
- Artificial Intelligence - Credit Hour: 1.00
- Introduction to Data Visualization - Credit Hours: 3.00
FS 59100 - Special Topics Credit Hours: 1.00 to 3.00 Title: Microbial Genomics and Metabolism - Credit Hours: 3.00
HORT 53000 - Introduction To Computing For Biologists Credit Hours: 3.00
ILS 59500 - Special Topics In Information And Data Science Credit Hours: 1.00 to 4.00 Title: Data Management at the Bench - Credit Hours: 2.00
ILS 69500 - Special Topics In Information And Data Science Credit Hours: 1.00 to 4.00 Title: Data Sharing and Publication - Credit Hours: 3.00
STAT 50600 - Statistical Programming And Data Management Credit Hours: 3.00
STAT 54500 - Introduction To Computational Statistics Credit Hours: 3.00
TDM 50100 - The Data Mine Seminar Credit Hours: 1.00
TDM 51100 - Corporate Partners Credit Hours: 3.00

Applied Statistics Selective (3 credits)

BIOL 58210 - Ecological Statistics Credit Hours: 3.00
STAT 50100 - Experimental Statistics I Credit Hours: 3.00
STAT 50200 - Experimental Statistics II Credit Hours: 3.00
STAT 50300 - Statistical Methods For Biology Credit Hours: 3.00
STAT 50600 - Statistical Programming And Data Management Credit Hours: 3.00
STAT 51100 - Statistical Methods Credit Hours: 3.00
STAT 51200 - Applied Regression Analysis Credit Hours: 3.00
STAT 51400 - Design Of Experiments Credit Hours: 3.00
STAT 51700 - Statistical Inference Credit Hours: 3.00
STAT 52000 - Time Series And Applications Credit Hours: 3.00
STAT 52400 - Statistical Learning For Multivariate Data Credit Hours: 3.00
STAT 52500 - Intermediate Statistical Methodology Credit Hours: 3.00
STAT 54500 - Introduction To Computational Statistics Credit Hours: 3.00
MA 59800 - Topics In Mathematics Credit Hours: 1.00 to 5.00 Title: Linear Algebra for Data Sciences - Credit Hours: 3.00

Program Learning Outcomes

GPA Requirements

Only courses with a B- or better grade will count towards the course requirements.

Graduate Programs Disclaimer

The student is ultimately responsible for knowing and completing all degree requirements. Students should consult with their advisor/department for more information.
Not all graduate programs may be actively recruiting students and course modality availability may vary.
Please refer to the Explore Graduate Programs website for a list of currently available graduate programs.
Transfer credit policy: Credits earned for graduate study at other universities (both domestic and international) may be applied toward an advanced degree. Only credit hours associated with graduate courses for which grades of B- or better were obtained will be eligible for transfer. Any additional conditions under which credit transfers may be made are determined by the various departments.
Comparative information about Purdue University and other U.S. educational institutions is also available through the College Navigator tool, provided by the National Center for Education Statistics, and through the U.S. Department of Education College Scorecard.

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