Postgraduate Certificate in Bioinformatics and Biostatistics
£6,790 +
£560 Enrolment Fee
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Postgraduate Certificate in Bioinformatics and Biostatistics

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Next start date
July 2024
Open registration
Limited spots
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Optional internship

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1 year -1500 hours

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Optional internship

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Dual degree



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£6,790 +
£560 Enrolment Fee

This Postgraduate Certificate in Bioinformatics and Biostatistics prepares you to apply and develop new computational techniques in biomedical research, working both in hospital environments and for companies across the biotech sector. Our online Postgraduate in Biostatistics and Bioinformatics will teach you how to use computer tools to store, organise, analyse and interpret vast amounts of data to extract knowledge that can be applied to solving biological and biomedical problems. This postgraduate will fully equip you with the skills you need to kickstart your career in this rapidly evolving sector.

Characteristics of the Postgraduate in Bioinformatics and Biostatistics

Videos and online classes

Audio visual study material

You will have access to many hours of audio visual materials, which are essential teaching materials. Thus, you can study wherever and whenever you want.

Practical activities

Practical activities

Approximately twice a week you will carry out practical activities that will be reviewed and evaluated by your specialized teachers.

Complementary material

Complementary material

Class summaries, articles to stay up-to-date... You will have everything you need to keep on learning.

Master class

Master class

You will learn from well-known experts in the medical sector thanks to our master classes, which you can watch as many times as you want.

Master’s degree final project

Postgraduate final project

At the end of the course you will conduct a research project on a topic of your interest. One of our teachers will supervise your project..

CEMP teachers for the Postgraduate in Bioinformatics and Biostatistics

Your teachers will open the doors to training in Postgraduate Certificate in Bioinformatics and Biostatistics with a focus on employability through specialisation:

Navil Noor
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Navil Noor


With a Bachelor's degree in Telecommunications Engineering and a Master's degree in Big Data, AI and Disruptive Technologies, this IT and Data Science professional brings more than four years of experience in Data Management and Remote Customer Support. Proficient in Python, technical writing and IT support, he is dedicated to developing practical skills.

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David Alarcón


David Alarcón has 6 years of experience as a PhD researcher in Biotechnology. His work, which has been published in high-impact international journals, has focused on the biochemistry and cell biology of pain perception. To share his passion for biology, David is currently refocusing his career on education.

sergio pedraza arévalo
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Sergio Pedraza Arévalo


Sergio holds a PhD in Biomedicine, a BSc in Biology and an MSc in Biomedical Research. He is currently working as a postdoctoral researcher at King’s College London. He has extensive research experience in molecular biology with a focus on cancer and diabetes. He is also involved in teaching and public engagement.

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Sara López Pérez


Sara holds a PhD in Molecular Biosciences. She also has a BSc in Biotechnology and an MSc in Molecular Biomedicine. Sara has focused her professional career on teaching as well as researching in bioinformatics and molecular biology.

cristian rodríguez
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Cristian Rodríguez Mortera


Cristian holds a BSc in Computer Engineering and Information Technology and an HNC in Computer Systems Administration and Management. Cristian is a specialist in software development, SQL/noSQL databases and programming in multiple languages, frameworks and platforms. In addition, he has extensive experience as a teacher.

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Beatriz Nespereira


Beatriz holds a BSc in Biology and a PhD in Biochemistry. She has extensive experience as a researcher and project manager at the University of Navarra, the University of A Coruña and the University of Santiago de Compostela. Beatriz has published a wide range of articles and has presented papers at national and international conferences. In 2017, she received the jury award for Best Master's Professor from the Spanish Association of Business Schools.

Andrés Crespo
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Andrés Crespo Vieira


Andrés holds a PhD in Molecular Biology and a BSc in Biology. He has experience as a research scientist and has been involved in numerous biomedical projects in both academia and the private sector. He is currently a Senior Laboratory Investigator at the Francis Crick Institute.

Rosalía Peteiro
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Rosalía Peteiro


Rosalía holds a BSc in Biotechnology and an MSc in Pharmacology, specialising in Molecular Biology and Medical Genetics. She has a wealth of experience in the biotechnology industry. She is currently working at Health in Code, a company focusing on the genetic diagnosis of cardiovascular diseases and the interpretation of genetic results.

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Marta María Dolcet Negre


Marta holds a PhD in Biocatalysis and a BSc in Agricultural Engineering. Marta is passionate about biostatistics and AI. In addition, sheholds two MSc degrees in Biomedical Informatics and Big Data and has worked in clinical and biomedical data analytics. Furthermore, she has a wide range of experience both as a researcher and a teacher.

Your journey at CEMP

From the first to the last stage of your training, we will always be by your side to help you make the most of every step.

Enrolment and preparation

As soon as you enrol, you will have access to the virtual platform. We will also start your employability plan. Let's get going!

Videos and online classes

Videos, PDF summaries and live classes from your teachers.

Exercises and questionnaires

You will regularly test your knowledge to move steadily towards your goals.

Postgraduate final project

You will carry out a bibliographic research project on a topic of your interest.

Optional internships

Let’s get to work! From 60 to 300 hours of optional internships available in a wide range of companies.

postgraduate certificate

You have reached your destination! You now have your CEMP postgraduate certificate and university accreditation from UCAM*. It's time to face new challenges... and new adventures!

*see accreditation conditions.

I want my CEMP certificate! I want my CEMP degree!

Syllabus of the Postgraduate Certificate in Bioinformatics and Biostatistics

As you progress along the Bioinformatics training program, you will discover different modules which will help you, step by step, to reach your final goal.

Module 1: Biochemistry and Molecular Biology

1. The cell: structure
2. Cell components and carbohydrates
3. Lipids
4. Peptides
5. DNA
6. ARN
7. Chromosomes
8. Genes and genomes
9. Study of the chromosomes
10. Mutations and polymorphisms
11. Cell division
12. Central dogma of molecular biology
13. DNA replication and repair
14. Transcription
15. Translation
16. Control of gene expression in prokaryotes
17. Control of gene expression in eukaryotes I
18. Control of gene expression in eukaryotes II
19. Epigenetics
20. PCR
21. Recombinant DNA technology
22. Sequencing
23. Nucleic acid hybridisation: arrays
24.Cell mobility and transport
25. Membrane proteins
26. Mass spectrometry
27. X-ray crystallography
28. Protein structure prediction
29.Basic immunology
30.Viruses: structure and function

Module 2: Biostatistics and R

1. Fundamentals of descriptive analysis of one-dimensional data
2. Introduction to R and RSTUDIO
3. Fundamentals of Probability Calculus I
4. Fundamentals of Probability Calculus II
5. Discrete random variables
6. Continuous random variables
7. Discrete notable distributions
8. Practice of R. Main objects of R
9. Continuous notable distributions
10. Basic elements of a random vector
11. R practice. Representation and simulation of random variables with R
12. Media vector and covariance matrix
13. Estimation of the parameters of a population
14. Confidence range for a proportion
15. Confidence range in normal distributions
16. Hypothesis contrast for a proportion
17. Practice of R. Bias, variance and confidence range for an estimator
18. Hypothesis contrast for a normal population
19. Comparison of populations
20. Practical R. Hypothesis contrast in R
21. The maximum plausibility method
22. The method of linear regression simple I
23. The method of linear regression simple II
24.Basic immunology
25.Viruses: structure and function
26. The model of multiple linear regression
27. Practical R. Linear regression adjustments
28. The model of analysis of variance
29. The method of analysis of covariance
30. Logistic regression
31. Neural networks for regression
32. Variable selection and extraction techniques for regression
33. Variable selection and extraction methods
34. Evaluation of regression models
35. Comparison of regression models

Module 3: Python

1. Introduction
2. Basic data types, operators and input/output
3. Types of advanced data
4. Flow control
5. Function
6. Errors and Objects Oriented Programming
7. Data manipulation

Module 4: Introduction to omics database and data analysis

1. Introduction to omics: application
2. Databases useful for the analysis and interpretation of omics data
3. What is massive sequencing? From DNA to NGS data (Big Data)
4. General bioinformatics analysis of massive sequencing data
5. Genomic variants
6. Bioconductor: repository of bioinformatics tools
7. Variant detection through the use of bioinformatics methods
8. Integrative Genome Viewer
9. DNA sequencing
10. Transcriptomics I: RNA-seq
11. Transcriptomics II: Microarrays
12. Characterisation and functional enrichment
13. Other omics

Partner companies

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What our students think about us

Hanna Grzelczak
Hanna Grzelczak
Postgraduate in Bioinformatics and Biostatistics

I am impressed by the amount of knowledge applied in the programme in a very concise way. There are many ways to develop my skills and knowledge. Especially the webinars given by Prof. Alarcón are what I am hooked on. They are very logical, concise, and helpful in organising the learning process.  CEMP allows me to develop my skills to the fullest.

Ross Montgomery
Ross Montgomery
Postgraduate in Bioinformatics and Biostatistics

I have really enjoyed the course so far - there are good lecturers and well-presented slides. The last few weeks have been more challenging trying to keep up with the workload in between work as well. 

Temba Tseriwa
Temba Tseriwa
Postgraduate in Bioinformatics and Biostatistics

I am very impressed and encouraged by the teachers of the course, who are very busy and willing to motivate me, as they use different modes of communication to help me in my learning, especially in an online environment. This is my first online experience, and I'm enjoying it. What I appreciate the most are the online classes and the quizzes and activities at the end of each chapter that made me think and search for the answers, which allowed me to learn more. I also like the flexibility and the course materials, especially the lecture slides.  

Szczepan Kaluzny
Szczepan Kaluzny
Postgraduate in Bioinformatics and Biostatistics

The programme is excellent. I am delighted that I can access the course at any time and moment. I find the tests and module booklets very helpful for mastering the subject. Dr. Alarcón is an outstanding lecturer, and he has provided me with a lot of assistance.  I believe CEMP offers the right programme with all the components that I wanted to learn. But also, the method of the payments (instalments) made it very accessible for me.  

Amr T. M. Saeb
Amr T. M. Saeb
Postgraduate in Bioinformatics and Biostatistics

I enrolled in the programme because of my interest in bioinformatics, the reputation and excellence of the institution, research opportunities that enhance employability and open diverse career opportunities in academia, industry or research institutions, networking and collaboration, and making significant contributions to the field.  Until now, I have had a wonderful experience with CEMP, and I hope it will continue at this level. 

Daniel Lukudu
Daniel L. Lukudu
Postgraduate in Bioinformatics and Biostatistics

Choosing the Postgraduate programme was driven by the perfect fit with my career goals. Initially considering Biostatistics, the inclusion of Bioinformatics was a pleasant surprise, and the freedom to learn remotely sealed the deal. Despite work distractions, the engaging content fuels my determination. Professor Alarcon's insightful teaching style makes complex theories inspiring. The Study Techniques course reveals crucial skills, adding a refreshing, practical dimension to the curriculum. 


Why enrol in our Postgraduate in Bioinformatics and Biostatistics online training programme? Because in addition to having prestigious professors and a curriculum aimed at preventing student drop-out, we guide our students towards achieving their professional goals.
Learn more about the employability plan you'll benefit from the moment you sign up.

Frequently asked questions

What professional opportunities does the Postgraduate in Bioinformatics and Biostatistics offer?

The Postgraduate in Bioinformatics and Biostatistics unlocks diverse career avenues in biology, healthcare, and data science. Graduates can thrive in biomedical research, clinical trials, healthcare data analysis, genomics, personalized medicine, pharmaceuticals, data analytics, and beyond. Equipped with versatile skills, our graduates are in high demand across industries where data analysis and biological expertise are paramount.

How long does it take to obtain a Postgraduate in Bioinformatics and Biostatistics?

Our Postgraduate in Bioinformatics and Biostatistics spans 1 year, totaling 1,500 hours of study. This is equivalent to 60 ECTS credits, the standard workload for an academic year. Our programme aligns with a level 7 qualification in the UK.

What is bioinformatics?

Bioinformatics is the application of computational and statistical techniques to study biological data, including DNA, RNA and protein sequences. It involves the development of algorithms and software tools to analyse and interpret large data sets in order to understand biological systems and processes. Bioinformatics has applications in several fields, including genomics, proteomics, drug discovery and personalised medicine.

What are the uses of biostatistics?

Biostatistics is the application of statistical methods to study biological data and improve public health. It has many applications, including the design of clinical trials, the analysis of health care data, the identification of risk factors for disease, and the evaluation of public health programmes. Biostatistics also plays a crucial role in developing and testing new medical treatments, and in the analysis and interpretation of epidemiological data to inform public health policy.

What is the price of a Postgraduate in Bioinformatics and Biostatistics?

At CEMP, we offer online training programmes that are fully adapted to the needs of each person, with tailored payment instalments available worldwide, to make sure each student is able to complete all stages of their postgraduate course successfully. To find out more about fees and payment plans, contact us through the online form and one of our friendly and experienced team will be in touch.