Assessment mode Assignments or Quiz
Tutor support available
International Students can apply Students from over 90 countries
Flexible study Study anytime, from anywhere

Overview

The Undergraduate Certificate in AI and Computational Biology equips students with cutting-edge skills to solve complex biological challenges using artificial intelligence and data-driven approaches. Designed for aspiring scientists, programmers, and researchers, this program blends machine learning, bioinformatics, and computational modeling to unlock insights in genomics, drug discovery, and more.


Perfect for undergraduates seeking to bridge biology and technology, this certificate offers hands-on training in AI tools and biological data analysis. Gain expertise to thrive in biotech, healthcare, and research industries.


Start your journey today and transform the future of life sciences. Enroll now to advance your career!

The Undergraduate Certificate in AI and Computational Biology equips students with cutting-edge skills in machine learning and data analysis to solve complex biological challenges. This industry-recognized certification offers hands-on projects, mentorship from industry experts, and a curriculum designed to bridge AI and life sciences. Graduates gain access to high-demand roles in bioinformatics, AI research, and computational biology, with 100% job placement support. Unique features include real-world case studies and a focus on interdisciplinary applications, preparing students to innovate at the intersection of technology and biology. Start your journey into this transformative field today!

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Entry requirements

Our online short courses are open to all individuals, with no specific entry requirements. Designed to be inclusive and accessible, these courses welcome participants from diverse backgrounds and experience levels. Whether you are new to the subject or looking to expand your knowledge, we encourage anyone with a genuine interest to enroll and take the next step in their learning journey.

Course structure

• Introduction to Artificial Intelligence in Biology
• Machine Learning for Computational Genomics
• Data Mining Techniques in Bioinformatics
• Advanced Algorithms for Biological Data Analysis
• AI-Driven Drug Discovery and Development
• Computational Modeling of Biological Systems
• Ethical AI and Data Privacy in Biomedical Research
• Natural Language Processing for Biomedical Text Analysis
• Deep Learning Applications in Proteomics
• AI Tools for Precision Medicine and Personalized Healthcare

Duration

The programme is available in two duration modes:

1 month (Fast-track mode)

2 months (Standard mode)

Course fee

The fee for the programme is as follows:

1 month (Fast-track mode): £140

2 months (Standard mode): £90

The Undergraduate Certificate in AI and Computational Biology is a cutting-edge program designed to equip students with foundational skills in artificial intelligence and its applications in biological sciences. Over a duration of 12 weeks, this self-paced course allows learners to master Python programming, a critical skill for data analysis and algorithm development in computational biology.

Participants will gain hands-on experience in machine learning, bioinformatics, and data visualization, aligning with UK tech industry standards. The program emphasizes practical coding bootcamp-style learning, ensuring students develop web development skills alongside AI expertise, making them versatile in the tech-driven job market.

By the end of the course, learners will be proficient in applying AI techniques to solve complex biological problems, such as genomic data analysis and drug discovery. This certificate is ideal for those seeking to bridge the gap between biology and technology, offering industry-relevant knowledge that prepares graduates for roles in biotech, healthcare, and data science sectors.

With a focus on real-world applications, the program ensures students are job-ready, combining theoretical knowledge with practical projects. Whether you're a beginner or looking to upskill, this certificate provides a strong foundation in AI and computational biology, making it a valuable addition to your academic and professional portfolio.

The Undergraduate Certificate in AI and Computational Biology is a critical qualification in today’s market, where the demand for professionals skilled in artificial intelligence and computational biology is surging. In the UK, 87% of businesses are actively seeking talent with expertise in AI-driven solutions, particularly in healthcare and biotechnology sectors. This certificate equips learners with the technical skills to analyze complex biological data, develop AI models, and address real-world challenges in genomics, drug discovery, and personalized medicine. The following chart illustrates the growing demand for AI and computational biology skills in the UK:
Skill Demand (%)
AI in Healthcare 87
Computational Biology 78
Genomics Data Analysis 65
Drug Discovery AI 72
This program bridges the gap between AI and biology, preparing graduates for roles in ethical AI development, genomic research, and data-driven healthcare solutions. With the UK’s biotech sector growing at an annual rate of 9.6%, this certificate is a gateway to high-demand careers in a rapidly evolving industry.

Career path

AI Jobs in the UK

AI roles are among the fastest-growing in the UK, with demand spanning industries like healthcare, finance, and technology. Professionals with AI expertise are highly sought after.

Average Data Scientist Salary

Data scientists in the UK earn an average salary of £50,000–£70,000 annually, with senior roles exceeding £90,000. Specialized AI skills can significantly boost earning potential.

Machine Learning Engineer

Machine learning engineers design and implement AI models, with salaries ranging from £60,000 to £85,000. This role is critical in advancing computational biology applications.

Bioinformatics Specialist

Bioinformatics specialists combine AI and biology to analyze complex datasets. Salaries typically range from £45,000 to £65,000, with strong growth in the biotech sector.