Undergraduate Certificate in Video Analytics using Computer Vision

Tuesday, 10 February 2026 19:52:43

International applicants and their qualifications are accepted

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Overview

Overview

Video Analytics using Computer Vision


Unlock the power of video data with our Undergraduate Certificate program, designed for aspiring data scientists and computer vision enthusiasts.


Learn to extract insights from video streams, detect patterns, and build predictive models using computer vision techniques.


Some of the key topics covered include: computer vision fundamentals, object detection, facial recognition, and motion analysis.

Develop practical skills in programming languages like Python and R, and explore real-world applications in industries such as security, healthcare, and entertainment.


Take the first step towards a career in video analytics and computer vision by exploring our Undergraduate Certificate program today!

Video Analytics is revolutionizing the way we interpret and make decisions from visual data. This Undergraduate Certificate in Video Analytics using Computer Vision equips students with the skills to extract insights from video streams, enabling them to video analytics in various industries. Key benefits include real-time analysis and predictive modeling, leading to enhanced business outcomes. Career prospects are vast, with applications in security surveillance and smart cities. Unique features of the course include hands-on experience with popular computer vision libraries and a focus on machine learning algorithms. Graduates can expect to drive business growth and innovation in the video analytics space.

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

•
Computer Vision Fundamentals •
Image Processing Techniques •
Object Detection using Convolutional Neural Networks •
Image Segmentation and Object Recognition •
Video Analytics using Computer Vision •
Motion Analysis and Tracking •
Facial Recognition and Expression Analysis •
3D Reconstruction from 2D Images •
Human-Computer Interaction using Video Analytics •
Security and Surveillance using Video Analytics

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

40% Cheaper

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in Video Analytics using Computer Vision

The Undergraduate Certificate in Video Analytics using Computer Vision is a specialized program designed to equip students with the skills and knowledge required to analyze and interpret video data using computer vision techniques. This program focuses on teaching students how to extract insights from video footage, detect patterns, and make informed decisions using machine learning algorithms and computer vision tools. By the end of the program, students will be able to apply their knowledge to real-world problems in industries such as security, surveillance, and entertainment. The duration of the program is typically one year, with students completing a series of coursework and projects that cover topics such as image processing, object detection, and video segmentation. Throughout the program, students will work on practical projects that demonstrate their understanding of computer vision concepts and their ability to apply them to real-world problems. The Undergraduate Certificate in Video Analytics using Computer Vision is highly relevant to the growing demand for video analytics in various industries. As more businesses and organizations rely on video data to make informed decisions, the need for skilled professionals who can analyze and interpret this data is increasing. By completing this program, students can gain the skills and knowledge required to pursue a career in video analytics and computer vision. Upon completion of the program, students can expect to gain a strong foundation in computer vision and video analytics, as well as the ability to apply these skills to real-world problems. This program is ideal for students who are interested in pursuing a career in fields such as artificial intelligence, data science, and computer engineering.

Why this course?

Undergraduate Certificate in Video Analytics using Computer Vision is a highly sought-after program in today's market, driven by the increasing demand for intelligent video analysis and surveillance systems. According to a report by the UK's Home Office, the country's video surveillance market is expected to reach £3.4 billion by 2025, with a growth rate of 10.5% per annum.
Year Market Size (£m)
2020 2.3
2021 2.6
2022 3.1
2023 3.4
2024 4.0
2025 4.6

Who should enrol in Undergraduate Certificate in Video Analytics using Computer Vision?

Primary Keyword: Video Analytics Ideal Audience
Individuals with a strong foundation in Computer Vision and programming skills, particularly those in the UK, are well-suited for this course. Key characteristics include:
- A bachelor's degree in Computer Science, Engineering, or a related field. - Proficiency in programming languages such as Python, C++, or Java.
- Familiarity with computer vision concepts and techniques, including image processing and machine learning. - A keen interest in the applications of video analytics in industries like security, healthcare, and finance.
In the UK, the demand for professionals with video analytics skills is on the rise, with the UK's video analytics market expected to reach £1.4 billion by 2025. By completing this course, individuals can gain the skills and knowledge needed to succeed in this exciting field.