Animal Health Data Analytics and Insights

• Official transcripts for all undergraduate coursework (minimum 3.0 GPA required)
• Official transcripts for all graduate coursework
• A completed application to the K-State Graduate School. This application has a $50 fee. Attend a webinar about this certificate program and receive a code to waive this application fee.

Basic requirements

• Bachelor's degree
• Passion for analytics in animal health
• Access to learn online

Animal health professionals working in analytics have varied backgrounds. One of the challenges is finding talent with both strong animal health and analytics domain knowledge.

This graduate certificate is appropriate for professionals with a bachelor's degree with a variety of backgrounds, including animal science, veterinary medicine, bioinformatics, mathematics or statistics.

Ideal candidates for the certificate

This Data Analytics and Insights in Animal Health Graduate Certificate is ideal for working professionals who want to:

• Implement strategic use of data analytics methods for business and product development applications in animal health.
  
  
• Establish working knowledge of relevant animal health data sources and how to leverage those data to drive insight and action.
  
  
• Develop product development pipelines and continuous discovery techniques using both research and market insights as drivers for animal health innovation.

With the proper education and experience, animal health analytics professionals can enter new career roles and positions such as:

• Animal health data scientist
• Biomedical systems engineer
• Clinical data manager
• Data and digital technology developer
• Marketing and sales analyst

• No required prerequisites
• Fully online coursework
• Full-time faculty and guest lecturers with industry experience
• May start coursework any semester during the year
• No out-of-state tuition and fees

Designed for Industry

Numerous industries are experiencing the data boom and are learning new ways to extract value from data. This era of technological advancement also is impacting the animal health industry and has created a need for professionals who understand both animal health and data analytics.

What are issues in data analytics that are critical to the animal health industry?

Strategies to maximize value extracted from data is dependent on having domain knowledge in animal health and in data analytics.

Animal health has numerous disparate data sources, which creates opportunity to derive insight that was previously inaccessible. Advances in data analytics and artificial intelligence have unlocked new innovative product opportunities in animal health.

Leveraging data insights to meet supply chain demands and customer needs remains a key challenge.

Courses and experiences were developed with industry input and are designed to equip students with the tools needed to approach consumer problems, navigate product challenges and ideate new solutions in an interdisciplinary manner.

Required (8 credit hours)

• AAI 860 — Introduction to Systems and Data in Animal Health (2 credit hours)
• AAI 861 — Research Strategies to Drive Development of Animal Health Products (2 credit hours)
• AAI 862 — Applied Data Analytics in Animal Health (3 credit hours)
• AAI 863 — Special Topics: Data Analytics and Insights in Animal Health (1 credit hour)

* Students with animal health backgrounds should take electives from the math-related course elective list and students with math-related backgrounds should take electives from the animal health-related course elective list.

Animal Health-related course electives (7credit hours)

• AAI 795 — Seminar Course: Shared Concerns in Human- and Animal Health-related Data Analytics (2 credit hours)
• AAI 852 — Vaccinology (3 credit hours)
• AAI 865 — Assessing Effectiveness of Animal Therapeutics and Vaccines (1 credit hour)
• AAI 867— Zoonotic Pathogens in the Food Chain (2 credit hours)
• AAI 870 — Seminar: Applied Statistics for Animal Industry Seminar (1 credit hour)
• ASI 650 — Identification of Data Management of Food Animals (2 credit hours)
• DMP 710 — Introduction to One Health (2 credit hours)
• DMP 754 — Introduction to Epidemiology (3 credit hours)
  
  

Math Health-related course electives (7 credit hours)

• AAI 864 — Introduction to Computing for Animal Health (3 credit hours)
• AAI 870 — Seminar: Applied Statistics for Animal Industry Seminar (1 credit hour)
• MATH 896 — Topics: Fundamentals of Biomathematical Methods (4 credit hours)
• MKTG 880 — Applied Marketing Analytics (3 credit hours)
• STAT 703 — Intro to Statistical Methods for the Sciences (3 credit hours)
• STAT 705 — Regression and Analysis of Variance (3 credit hours)

Course descriptions and instructors

Students who live in Johnson County and who are applying to this program may be eligible for a Johnson County resident scholarship.

These scholarships for Johnson County residents are sponsored by the Johnson County Education and Research Triangle, or JCERT. Scholarship awards are based on availability of funds. Applicants may be awarded up to $5,000 for the duration of their program of study, provided they meet minimum academic and enrollment requirements. Scholarship amounts vary depending on fund availability, merit and need.

Eligibility details:

• Applicant must be a resident of Johnson County, Kansas. Proof of residency will be required.
• Applicants must be resident at K-State Olathe and admitted to or seeking admission to the following JCERT mission-related programs:
• Data Analytics and Insights in Animal Health (certificate).

Apply for a Johnson County resident scholarship.

View all scholarships available at K-State Olathe.

Please note that graduate students must be seeking a degree to qualify for federal financial aid loans.