Graduate Certificate in Omics Technologies and Precision Medicine
To realize precision medicine, personalized for each patient, the graduate certificate prepares students with knowledge and skills in omics technologies (genomics, transcriptomics, proteomics, and metabolomics). These next-generation sequencing technologies detect the genes, mRNA, proteins, and metabolites that make up biological samples, such as cells or tissues, accelerating biomedical discoveries about complex diseases like cancer. Omics technologies enable researchers and clinicians to develop high-resolution screening and diagnostics, targeted therapies, and tools for choosing the treatment options that will work best for the patient.
The certificate is designed for clinicians, clinical researchers, research scientists, and post-doctoral fellows with cancer and other disease genomics backgrounds, working professionals in pharmaceutical and biotechnology companies, and graduate students seeking careers in these areas. Positions for omics technologies and precision medicine graduates include:
- Bioinformatics Scientist
- Biomedical Analyst
- Biomedical Data Warehousing Specialist
- Biomedical Research Scientist
- Biomedical Scientist
- Clinical Data Analyst
- Clinical Data Manager
- Clinical Laboratory Scientist
- Clinical Research Coordinator
- Medical Scientist
- Research Scientist
The certificate provides an opportunity to update skills and as a means of continuing education for those who are already employed in industry and academia. Thus, it improves career prospects to thrive in the rapidly growing fields of omics and personalized medicine.
Program Learning Outcomes
- Evaluate critically recent published literature in the field of omics and personalized medicine.
- Apply the theories and methodologies of omics on datasets to investigate new research areas.
- Apply appropriate principles, frameworks, and methods in omics data analysis to evaluate and interpret the frontiers of knowledge.
- Demonstrate expository and oral communication skills appropriate for someone with a mastery of current trends in omics and personalized medicine.
- Exhibit knowledge of ethical and privacy issues of data mining and analytics in personal genomics.
Plan of Study (15 cr.)
The plan of study is comprised of 15 credit hours. It includes three required core courses, a foundational course, and an advanced course.
Up to six credit hours of equivalent coursework taken prior to admission to the certificate program, including no more than three hours taken from another institution, may be counted towards the certificate. The rest of the courses must be completed at IUPUI within a three-year period from the time of admission. The certificate is not financial aid eligible.
Students may apply approved credits earned completing the certificate to a Master of Science in Bioinformatics or Biomedical Informatics among other degrees. They may also continue their studies in biochemistry, data science, genomics, informatics, microbiology, pharmacology, systems biology, and fields with the need for interdisciplinary quantitative skills.
Core Courses (9 cr.)
- MGEN G788/INFO I590 Next Generation Sequencing (3 cr.)
- INFO B528 Computational Analysis of High-throughput Biomedical Data (3 cr.)
- INFO B636 Genomic Data Analytics and Precision Medicine (3 cr.)
Foundational Course (3 cr.)
- INFO B518 Applied Statistical Methods for Biomedical Informatics (3 cr.)
- INFO B573 Programming for Science Informatics (3 cr.)
Advanced Course (3 cr.)
- INFO B529 Machine Learning in Bioinformatics (3 cr.)
- INFO B646 Computational System Biology (3 cr.)
- INFO B656 Translational Bioinformatics Applications (3 cr.)
- INFO B536 Computational Methods for Biomedical Informatics (3 cr.)
Students must earn a B– or higher in each course and maintain a 3.0 GPA to complete the certificate.
Ready to get started?
Admission is selective, based on the applicant’s potential to succeed academically and contribute to the program. Minimum admissions requirements include a bachelor’s degree in computer science, informatics, biostatistics, medical sciences, or a related field with cumulative GPA of 3.0 or higher on a 4.0 scale.