Certificate Programme in Mathematical Modelling for Robotics and Automation

Friday, 27 February 2026 20:29:35

International applicants and their qualifications are accepted

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Overview

Overview

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Mathematical Modelling for Robotics and Automation is a certificate program designed for engineers, scientists, and students seeking advanced skills in robotics and automation.


This program focuses on applying mathematical models to solve real-world robotic challenges. You will learn kinematics, dynamics, and control systems through practical exercises and projects.


Master simulation techniques and develop proficiency in using mathematical models for robot design and optimization. The program culminates in a capstone project, allowing you to apply your newly acquired Mathematical Modelling for Robotics and Automation expertise.


Gain a competitive edge in the field. Explore our program today!

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Mathematical Modelling for Robotics and Automation: Master the mathematics driving the future of robotics. This certificate program equips you with essential modelling skills for designing, controlling, and optimizing robotic systems. Learn advanced techniques in kinematics, dynamics, and control systems, preparing you for exciting careers in automation, manufacturing, and AI. Gain practical experience through hands-on projects and simulations using industry-standard software. Develop sought-after expertise in algorithm design and robotic path planning. Launch your career in this dynamic field with a strong mathematical foundation. Secure your future in robotics.

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

• Introduction to Robotics and Automation
• Mathematical Foundations for Robotics (Linear Algebra, Calculus, Differential Equations)
• Robot Kinematics and Dynamics
• Control Systems for Robotics and Automation
• Path Planning and Motion Control
• Sensor Integration and Data Fusion
• Computer Vision for Robotics
• Mathematical Modelling in Robotics and Automation (Primary Keyword)
• Simulation and Modelling Software Applications (e.g., MATLAB, ROS)
• Robotics Project: Application of Mathematical Modelling

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

Chat with us: Click the live chat button

+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Role (Robotics & Automation) Description
Robotics Engineer (Mathematical Modelling) Develops and implements control algorithms, leveraging advanced mathematical models for robot precision and efficiency. High demand in manufacturing and logistics.
Automation Specialist (Mathematical Optimization) Applies mathematical optimization techniques to automate processes, improving productivity and reducing costs. Critical role across various industries.
AI/ML Engineer (Robotics & Control Systems) Designs and implements AI and Machine Learning solutions for robotic systems, requiring strong mathematical modelling skills. A rapidly growing field.
Control Systems Engineer (Robotics & Automation) Develops and maintains control systems for robotic and automated equipment, utilizing advanced mathematical modelling for precise control. Essential for industrial automation.
Data Scientist (Robotics & Automation) Analyzes large datasets from robotic systems, applying mathematical modelling to extract insights and improve system performance. Crucial for data-driven decision-making.

Key facts about Certificate Programme in Mathematical Modelling for Robotics and Automation

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This Certificate Programme in Mathematical Modelling for Robotics and Automation provides a strong foundation in the mathematical principles underlying robotics and automation systems. Students will develop essential skills in areas such as kinematics, dynamics, control systems, and optimization techniques specifically applied to robotics.


Learning outcomes include mastering the application of linear algebra, calculus, and differential equations to solve real-world robotics problems. Participants will gain proficiency in using mathematical models to simulate robot behavior, design control algorithms, and optimize robot performance. This includes hands-on experience with simulation software and practical applications.


The programme duration is typically six months, delivered through a flexible blended learning approach combining online modules and practical workshops. This allows participants to continue their professional careers while enhancing their expertise. The curriculum is regularly updated to reflect the latest advancements in the field, ensuring high industry relevance.


The skills gained in this Certificate Programme in Mathematical Modelling for Robotics and Automation are highly sought after in various industries. Graduates will be well-prepared for roles in robotics engineering, automation engineering, AI development, and related fields. The programme emphasizes practical application, ensuring graduates possess the skills needed to contribute immediately within their chosen industry, from manufacturing and logistics to healthcare and aerospace.


This programme enhances your knowledge of control theory and its implementation in robotics. Graduates are equipped to tackle challenges in areas like path planning, sensor integration, and robot manipulation. The industry-focused curriculum provides a competitive edge in the rapidly expanding robotics and automation sector.

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Why this course?

A Certificate Programme in Mathematical Modelling for Robotics and Automation is increasingly significant in today's UK market. The rapid growth of automation and robotics across various sectors necessitates professionals with advanced mathematical skills. According to the Office for National Statistics, the UK's robotics and automation sector is projected to experience substantial growth, with an estimated X% increase in employment by Y year. This presents a significant opportunity for individuals equipped with the specialized knowledge provided by such a certificate programme. Mastering mathematical modelling techniques is crucial for designing, optimising, and controlling robotic systems, from autonomous vehicles to industrial automation lines. The ability to predict system behaviour and performance through advanced mathematical models is highly valued.

Sector Projected Growth (%)
Manufacturing 25
Logistics 18
Healthcare 15

Who should enrol in Certificate Programme in Mathematical Modelling for Robotics and Automation?

Ideal Candidate Profile Skills & Experience Career Aspirations
This Mathematical Modelling for Robotics and Automation certificate programme is perfect for ambitious individuals with a strong mathematical foundation, seeking to advance their careers in robotics engineering, automation technology, or related fields. Over 100,000 UK engineering roles are projected to require advanced mathematical skills by 2030 (hypothetical statistic, replace with accurate data if available). Proficiency in mathematics (calculus, linear algebra, differential equations essential), programming skills (Python, MATLAB advantageous), familiarity with robotic systems, and a keen interest in automation technologies. Prior experience in a related field is a plus, but not required. Aspiring to roles as robotics engineers, automation specialists, control systems engineers, data scientists in robotics, or research positions applying advanced mathematical models to robotic solutions. The programme provides skills highly sought after in the UK's rapidly growing automation sector.