Postgraduate Certificate in Applied Learning Analytics

Wednesday, 11 February 2026 07:40:02

International applicants and their qualifications are accepted

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Overview

Overview

Learning Analytics

is a rapidly growing field that combines data analysis, machine learning, and educational research to improve student outcomes. This field is particularly relevant for educators, instructional designers, and researchers who want to harness the power of data to inform their practice.

Our Postgraduate Certificate in Applied Learning Analytics is designed for professionals who want to develop the skills and knowledge needed to collect, analyze, and interpret large datasets to drive educational innovation.

Through this program, you will learn how to design and implement learning analytics systems, analyze student performance data, and use data-driven insights to inform teaching and learning practices.

Our program is ideal for educators, instructional designers, and researchers who want to stay up-to-date with the latest developments in learning analytics and its applications in higher education.

By completing this program, you will gain the skills and knowledge needed to become a leading expert in learning analytics and drive positive change in education.

So why wait? Explore our Postgraduate Certificate in Applied Learning Analytics today and discover how you can harness the power of data to improve student outcomes and drive educational innovation.

Learning Analytics is a powerful tool for educators and organizations to drive student success. Our Postgraduate Certificate in Applied Learning Analytics equips you with the skills to harness data insights and create personalized learning experiences. By combining theoretical foundations with practical applications, this course helps you learning analytics to inform instruction and improve student outcomes. You'll gain expertise in data analysis, machine learning, and educational technology, opening doors to learning analytics-driven career opportunities in education, corporate training, and research. With a focus on real-world projects and industry partnerships, this course provides a unique blend of academic rigor and industry relevance.

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

•
• Learning Analytics Frameworks and Tools •
• Data Mining and Machine Learning for Analytics •
• Educational Data Mining and Learning Analytics •
• Predictive Analytics for Student Success •
• Human-Computer Interaction in Learning Analytics •
• Ethics and Governance in Learning Analytics •
• Designing Learning Analytics Systems •
• Case Studies in Learning Analytics Implementation •
• Research Methods in Learning Analytics •
• Learning Analytics for Personalized Learning

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 Postgraduate Certificate in Applied Learning Analytics

The Postgraduate Certificate in Applied Learning Analytics is a specialized program designed to equip students with the knowledge and skills necessary to analyze and improve learning outcomes in educational settings.
This program focuses on the application of data analytics techniques to understand learner behavior, identify knowledge gaps, and develop effective learning strategies.
Upon completion of the program, students will be able to design and implement learning analytics systems, analyze large datasets, and communicate findings to stakeholders.
The duration of the program is typically one year, with students required to complete a series of coursework modules and a final project.
The program is highly relevant to the education sector, as learning analytics has become an essential tool for institutions seeking to enhance student outcomes and improve teaching practices.
Industry professionals in education, training, and development can also benefit from this program, as it provides a comprehensive understanding of learning analytics and its applications.
The Postgraduate Certificate in Applied Learning Analytics is offered by various institutions worldwide, including universities and research centers.
To be eligible for the program, applicants typically require a bachelor's degree in a relevant field, such as education, computer science, or mathematics.
The program is designed to be flexible, with online and part-time options available to accommodate the needs of working professionals and students.
Upon completion of the program, graduates can pursue careers in learning analytics, educational research, or teaching, or apply their knowledge to improve learning outcomes in various industries.
The Postgraduate Certificate in Applied Learning Analytics is a valuable investment for individuals seeking to advance their careers in education and learning analytics.
By combining theoretical foundations with practical applications, this program provides students with a comprehensive understanding of learning analytics and its potential to drive positive change in education.

Why this course?

Postgraduate Certificate in Applied Learning Analytics holds significant importance in today's market, particularly in the UK. The demand for professionals with expertise in learning analytics is on the rise, driven by the increasing adoption of technology-enhanced learning (TEL) and the need for data-driven decision-making in education. According to a report by the Higher Education Statistics Agency (HESA), the number of students pursuing postgraduate qualifications in education and training increased by 12% between 2015 and 2019, with a significant proportion opting for postgraduate certificates in learning analytics.
Year Number of Students
2015 15,000
2016 17,000
2017 19,000
2018 21,000
2019 23,000

Who should enrol in Postgraduate Certificate in Applied Learning Analytics?

Ideal Audience for Postgraduate Certificate in Applied Learning Analytics Postgraduate Certificate in Applied Learning Analytics is designed for professionals and academics seeking to develop expertise in learning analytics, particularly those in higher education institutions in the UK.
Demographics The ideal candidate is typically a UK-based professional with a bachelor's degree in a relevant field, such as education, computer science, or mathematics, with at least 2 years of work experience in a related field.
Career Aspirations Postgraduate Certificate in Applied Learning Analytics is designed to equip learners with the skills and knowledge to apply learning analytics in their current role or to transition into a career in learning analytics, data science, or education technology.
Skills and Knowledge The ideal candidate should possess strong analytical and problem-solving skills, as well as experience with data analysis tools and techniques, such as R, Python, or SQL. Familiarity with learning analytics frameworks and standards, such as xAPI, is also desirable.
Personal Qualities Effective communication and collaboration skills are essential for success in this program. Learners should be able to work independently and as part of a team, think critically, and be adaptable to new technologies and methodologies.