Masterclass Certificate in Phylogenetic Inference
-- viewing nowThe Masterclass Certificate in Phylogenetic Inference is a comprehensive course that equips learners with critical skills in evolutionary biology and computational phylogenetics. This program is essential for professionals working in bioinformatics, genetics, and related fields, where understanding the evolutionary relationships among organisms is paramount.
5,652+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
• Character Data and Data Matrices in Phylogenetics
• Phylogenetic Methods: Parsimony, Distance, and Likelihood
• Bayesian Phylogenetics and Markov Chain Monte Carlo (MCMC)
• Model Selection and Evaluation in Phylogenetic Analysis
• Phylogenetic Tree Visualization and Interpretation
• Applications of Phylogenetic Inference in Biology
• Advanced Topics in Phylogenetic Inference: Dating and Biogeography
Career path
| Career Role | Description |
|---|---|
| Phylogenetic Bioinformatician (Phylogenetic Inference, Bioinformatics) | Develops and applies computational methods for phylogenetic analysis, crucial for understanding evolutionary relationships. High demand in academia and pharmaceutical industries. |
| Evolutionary Biologist (Phylogenetics, Evolutionary Biology) | Conducts research on evolutionary processes using phylogenetic inference techniques. Essential in academia and conservation biology. |
| Data Scientist (Phylogenetics Focus) (Phylogenetic Analysis, Data Science) | Applies statistical and computational skills to large phylogenetic datasets, contributing to various fields including genomics and ecology. Strong analytical and programming skills are key. |
| Computational Biologist (Phylogenetic Inference, Computational Biology) | Develops and utilizes computational tools and algorithms for phylogenetic inference, often involving large-scale data analysis. In high demand across various research sectors. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate