Professional Certificate in AI-Driven Educational Analytics

Thursday, 12 February 2026 20:52:15

International applicants and their qualifications are accepted

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Overview

Overview

Artificial Intelligence (AI) is revolutionizing the education sector with AI-Driven Educational Analytics.


This field of study focuses on using AI and machine learning algorithms to analyze and interpret large datasets in educational settings.


Designed for educators, policymakers, and data analysts, the Professional Certificate in AI-Driven Educational Analytics equips learners with the skills to extract valuable insights from educational data.


By understanding student performance, learning outcomes, and educational effectiveness, professionals can inform data-driven decisions and improve student success.


Gain a competitive edge in the job market with this certificate, which covers topics such as data preprocessing, model selection, and deployment.


Explore the possibilities of AI-Driven Educational Analytics and take the first step towards a more informed and effective education system.

AI-Driven Educational Analytics is revolutionizing the way we approach learning and teaching. This Professional Certificate program equips you with the skills to harness the power of Artificial Intelligence (AI) in educational analytics, enabling you to analyze student performance and identify areas for improvement. With this course, you'll gain a deep understanding of machine learning algorithms, data visualization tools, and statistical modeling techniques. Upon completion, you'll be well-positioned for a career in educational technology, with opportunities in data science, instructional design, and educational leadership. You'll also have access to a global network of professionals and industry experts.

Entry requirements

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


Data Preprocessing for AI-Driven Educational Analytics •
Machine Learning Algorithms for Student Performance Prediction •
Natural Language Processing for Text Analysis in Education •
Predictive Modeling for Identifying At-Risk Students •
Data Visualization for Educational Insights and Decision Making •
Ethics and Fairness in AI-Driven Educational Analytics •
Big Data Analytics for Educational Research and Policy •
AI-Driven Personalized Learning Systems •
Sentiment Analysis for Evaluating Student Feedback •
Educational Technology Integration for AI-Driven 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

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 AI-Driven Educational Analytics

The Professional Certificate in AI-Driven Educational Analytics is a specialized program designed to equip learners with the skills and knowledge required to analyze and improve educational outcomes using artificial intelligence (AI) and machine learning (ML) techniques.
Upon completion of the program, learners will be able to apply AI-driven analytics to identify trends, patterns, and insights in educational data, and use this information to inform data-driven decision-making.
The program covers a range of topics, including data preprocessing, feature engineering, model selection, and deployment, as well as the application of AI in educational settings, such as student performance analysis and personalized learning.
The duration of the program is typically 4-6 months, with learners completing a series of online courses and projects that culminate in a final capstone project.
The Professional Certificate in AI-Driven Educational Analytics is highly relevant to the education sector, as it addresses the growing need for data-driven decision-making in education.
By completing this program, learners can enhance their career prospects in education, particularly in roles such as educational data analyst, AI specialist, or director of educational technology.
The skills and knowledge gained through this program are also transferable to other industries, such as healthcare, finance, and marketing, where AI-driven analytics can be applied to drive business outcomes.
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 AI-Driven Educational Analytics is offered by leading educational institutions and organizations, and is recognized by employers and academic institutions worldwide.

Why this course?

Professional Certificate in AI-Driven Educational Analytics holds immense significance in today's market, particularly in the UK. According to a report by the Higher Education Statistics Agency (HESA), there were over 2.4 million students enrolled in higher education institutions in England in 2020-21, with a significant increase in part-time and online learning. This shift towards digital education has created a pressing need for professionals with expertise in AI-driven educational analytics.
Year Number of Students
2019-20 2,144,000
2020-21 2,434,000
2021-22 2,734,000

Who should enrol in Professional Certificate in AI-Driven Educational Analytics?

Primary Keyword: AI-Driven Educational Analytics Ideal Audience
Educators, researchers, and policymakers in the UK's education sector are the primary target audience for this Professional Certificate. With the UK's education system facing significant challenges, such as a shortage of skilled teachers and a need for data-driven decision making, this certificate can help them develop the skills needed to harness the power of AI-Driven Educational Analytics. In fact, a recent report by the UK's National Foundation for Educational Research found that 75% of teachers in England believe that data analysis is essential for improving student outcomes, highlighting the growing demand for professionals who can collect, analyze, and interpret large datasets to inform educational policy.
Professionals working in educational institutions, such as schools and universities will also benefit from this certificate, as they can use AI-Driven Educational Analytics to gain insights into student performance, identify areas for improvement, and develop targeted interventions to enhance teaching and learning. Additionally, with the UK's education budget expected to reach £43.8 billion by 2023-24, institutions will need professionals who can effectively utilize data analytics to maximize resources and drive positive change.
Individuals interested in pursuing a career in AI-Driven Educational Analytics will also find this certificate highly relevant, as it provides a comprehensive introduction to the principles and practices of AI-Driven Educational Analytics, including machine learning, natural language processing, and data visualization. By completing this certificate, individuals can develop the skills and knowledge needed to succeed in this rapidly growing field and contribute to the development of more effective and efficient educational systems.