Undergraduate Certificate in AI Integration in Multi-modal Biometrics

Sunday, 15 February 2026 12:29:43

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) Integration in Multi-modal Biometrics


This program focuses on the application of AI in biometric systems, enabling secure and efficient identification methods.


Designed for students interested in the field of biometrics, this course covers the fundamentals of AI and its integration with various biometric modalities.


Key topics include machine learning algorithms, deep learning techniques, and data analysis methods for biometric data.

By the end of this program, learners will gain a comprehensive understanding of AI integration in multi-modal biometrics and be equipped to design and develop innovative biometric systems.


Explore the possibilities of AI in biometrics and take the first step towards a career in this exciting field.

AI Integration is revolutionizing the field of biometrics, and our Undergraduate Certificate in AI Integration in Multi-modal Biometrics is at the forefront of this innovation. This course combines the principles of artificial intelligence with the latest advancements in biometrics, enabling students to develop cutting-edge solutions for secure identity verification. By learning from industry experts, you'll gain hands-on experience with AI Integration and multi-modal biometrics, preparing you for a career in this rapidly growing field. With AI Integration at its core, this course offers unique features such as project-based learning and collaboration with peers and industry professionals.

Entry requirements

The program operates on an open enrollment basis, and there are no specific entry requirements. Individuals with a genuine interest in the subject matter are welcome to participate.

International applicants and their qualifications are accepted.

Step into a transformative journey at LSIB, where you'll become part of a vibrant community of students from over 157 nationalities.

At LSIB, we are a global family. When you join us, your qualifications are recognized and accepted, making you a valued member of our diverse, internationally connected community.

Course Content


Machine Learning for Biometrics

Deep Learning Techniques in Biometrics

Image Processing for Biometric Authentication

Audio and Speech Biometrics

Face Recognition Systems

Hand Geometry and Signature Verification

Iris Recognition Systems

Fingerprint Recognition and Analysis

Multi-modal Biometric Fusion

Security and Privacy in Biometric Systems

Assessment

The evaluation process is conducted through the submission of assignments, and there are no written examinations involved.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration & course fee

The programme is available in two duration modes:

1 month (Fast-track mode): £140
2 months (Standard mode): £90

Our course fee is up to 40% cheaper than most universities and colleges.

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Awarding body

The programme is awarded by London School of International Business. This program is not intended to replace or serve as an equivalent to obtaining a formal degree or diploma. It should be noted that this course is not accredited by a recognised awarding body or regulated by an authorised institution/ body.

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  • Start this course anytime from anywhere.
  • 1. Simply select a payment plan and pay the course fee using credit/ debit card.
  • 2. Course starts
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in AI Integration in Multi-modal Biometrics

The Undergraduate Certificate in AI Integration in Multi-modal Biometrics is a specialized program that focuses on the application of Artificial Intelligence (AI) in biometric technologies, such as facial recognition, voice recognition, and fingerprint scanning.
This program aims to equip students with the knowledge and skills necessary to design, develop, and implement AI-powered biometric systems that can effectively integrate with various modalities.
By the end of the program, students will be able to analyze complex biometric data, identify patterns, and make informed decisions using machine learning algorithms and statistical models.
The learning outcomes of this program include the ability to design and develop AI-powered biometric systems, analyze and interpret biometric data, and evaluate the performance of biometric systems using metrics such as accuracy, reliability, and robustness.
The duration of the program is typically one year, with students completing a set of core and elective courses that cover the fundamentals of AI, biometrics, and data science.
The industry relevance of this program is high, with applications in various sectors such as security, healthcare, finance, and transportation.
Companies are looking for professionals who can integrate AI with biometric technologies to enhance security, improve efficiency, and reduce costs.
Graduates of this program can pursue careers in research and development, product management, and sales, or work as consultants to help organizations implement AI-powered biometric systems.
The program is designed to be flexible, with online and on-campus options available, making it accessible to students from diverse backgrounds and locations.
Overall, the Undergraduate Certificate in AI Integration in Multi-modal Biometrics is an excellent choice for students who want to combine their passion for AI and biometrics with a career in a rapidly growing field.

Why this course?

Undergraduate Certificate in AI Integration in Multi-modal Biometrics is highly significant in today's market, particularly in the UK. According to a report by the UK's National Cyber Security Centre, the biometrics market is expected to reach £1.5 billion by 2025, growing at a CAGR of 15.4%. This growth is driven by increasing demand for secure identity verification and authentication solutions.
Year Market Size (£m)
2020 444
2021 533
2022 625
2023 731
2024 876
2025 1,046

Who should enrol in Undergraduate Certificate in AI Integration in Multi-modal Biometrics?

Primary Keyword: AI Integration Ideal Audience
Recent UK graduates in Computer Science, Information Technology, or related fields are well-suited for this course. Individuals with a strong foundation in mathematics, statistics, and computer programming are ideal candidates.
Professionals looking to upskill in AI and biometrics, particularly those in the public sector, such as police forces and government agencies, will benefit from this course. Those interested in the applications of AI in multi-modal biometrics, including facial recognition, voice recognition, and iris scanning, will find this course engaging.
The course is also suitable for students pursuing a career in data science, cybersecurity, or related fields. By the end of the course, learners will have gained a comprehensive understanding of AI integration in multi-modal biometrics, enabling them to make informed decisions in their chosen career path.