Professional Certificate in Essential Math for Machine Learning

Tuesday, 10 February 2026 19:42:43

International applicants and their qualifications are accepted

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Overview

Overview

Machine Learning

is a rapidly growing field that relies heavily on mathematical concepts to make predictions and decisions. The Professional Certificate in Essential Math for Machine Learning is designed for professionals who want to bridge the gap between their existing knowledge and the mathematical requirements of machine learning.

With this certificate, you'll gain a solid understanding of mathematical concepts such as linear algebra, calculus, and probability, which are essential for building and interpreting machine learning models.

Our program is tailored for data scientists, analysts, and engineers who want to enhance their skills in machine learning and take their careers to the next level.

By completing this certificate, you'll be able to apply mathematical concepts to real-world problems, improve your model's performance, and make data-driven decisions.

So why wait? Explore the Professional Certificate in Essential Math for Machine Learning today and start building a strong foundation in mathematical concepts for machine learning.

Mathematics is the backbone of Machine Learning, and this Professional Certificate in Essential Math for Machine Learning will equip you with the necessary tools to unlock its full potential. By mastering the fundamentals of linear algebra, calculus, and probability, you'll gain a deeper understanding of how to apply mathematical concepts to real-world problems. With this course, you'll enjoy career prospects in data science, artificial intelligence, and business analytics, and be able to mathematize your way to better decision-making. Unique features include interactive coding sessions, real-world case studies, and access to a community of like-minded learners.

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

• Linear Algebra Fundamentals • Probability Theory and Random Variables • Calculus for Machine Learning • Optimization Techniques for Machine Learning • Statistical Inference and Hypothesis Testing • Data Preprocessing and Feature Engineering • Regression Analysis and Modeling • Neural Networks and Deep Learning • Bayesian Methods for Machine Learning • Time Series Analysis and Forecasting

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 Professional Certificate in Essential Math for Machine Learning

The Professional Certificate in Essential Math for Machine Learning is designed to equip learners with the mathematical foundations necessary for a career in machine learning.
This program focuses on the key mathematical concepts required for machine learning, including linear algebra, calculus, probability, and statistics.
Upon completion, learners will be able to apply mathematical techniques to real-world problems in machine learning, such as regression, classification, and clustering.
The duration of the program is approximately 4 months, with learners completing a series of online courses and projects.
The program is highly relevant to the industry, with many top tech companies requiring or preferring candidates with a strong mathematical background in machine learning.
Learners can expect to see a significant increase in their career prospects and earning potential after completing the program, with many graduates going on to secure roles at top tech companies such as Google, Amazon, and Microsoft.
The program is designed to be flexible and accessible, with learners able to complete the coursework on their own schedule and at their own pace.
The Professional Certificate in Essential Math for Machine Learning is a valuable addition to any machine learning professional's toolkit, providing a solid foundation in the mathematical concepts necessary for success in the field.

Why this course?

Professional Certificate in Essential Math for Machine Learning is a highly sought-after credential in today's market, with the UK job market expecting a significant increase in demand for data scientists and machine learning engineers. According to a report by the UK's Office for National Statistics, the number of data science jobs in the UK is expected to grow by 14% between 2020 and 2025, with machine learning engineers being in high demand.
Year Number of Data Science Jobs
2020 10,000
2025 14,000

Who should enrol in Professional Certificate in Essential Math for Machine Learning?

Ideal Audience for Professional Certificate in Essential Math for Machine Learning Professionals and individuals interested in Machine Learning, Data Science, and Artificial Intelligence, particularly those in the UK, are the primary target audience for this course.
Demographics The ideal candidate is likely to be between 25-45 years old, with a bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, or Engineering. In the UK, this demographic is estimated to be around 12% of the workforce, with a growing demand for professionals with math skills.
Background and Experience Prior experience in programming languages such as Python, R, or Julia is beneficial, but not essential. A basic understanding of linear algebra, calculus, and probability is assumed. In the UK, a survey by the Royal Statistical Society found that 70% of data scientists have a background in mathematics or statistics.
Career Goals The ideal candidate is looking to enhance their career prospects in Machine Learning, Data Science, or Artificial Intelligence, with a focus on applying mathematical concepts to drive business value. In the UK, the demand for professionals with math skills is expected to grow by 14% by 2025, outpacing the average for all occupations.