Certified Specialist Programme in Using Learning Analytics for Student Retention

Sunday, 24 August 2025 05:37:35

International applicants and their qualifications are accepted

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Overview

Overview

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Learning Analytics for Student Retention is a Certified Specialist Programme designed for educators, administrators, and student support professionals.


This programme equips you with the skills to effectively use learning analytics to improve student success and retention rates. You'll learn to interpret data, identify at-risk students, and implement targeted interventions.


Topics covered include data visualization, predictive modeling, and ethical considerations in learning analytics. Gain practical experience through case studies and real-world examples.


Become a certified specialist in learning analytics and make a real difference in student outcomes. Enroll today and transform your institution!

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Learning Analytics for Student Retention: Become a Certified Specialist in leveraging data-driven insights to improve student success. This intensive programme equips you with practical skills in analyzing educational data, predicting at-risk students, and designing targeted interventions. Gain a competitive edge in the higher education sector with enhanced career prospects as a learning analyst, educational technologist, or instructional designer. Our unique blended learning approach combines online modules with hands-on projects and expert mentorship, ensuring you develop mastery in using learning analytics for student retention and success. Boost your career and make a real difference in student outcomes.

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 Learning Analytics for Student Success
• Data Sources and Collection Methods in Higher Education (including student information systems, learning management systems, etc.)
• Data Cleaning, Preparation, and Visualization Techniques
• Predictive Modeling and Early Warning Systems for Student Retention
• Using Learning Analytics to Personalize the Student Experience
• Ethical Considerations and Data Privacy in Learning Analytics
• Actionable Insights and Interventions Based on Learning Analytics Data
• Reporting and Communicating Findings from Learning Analytics
• Case Studies and Best Practices in Student Retention using Learning 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

Career Role Description
Learning Analytics Specialist Analyze student data to improve retention, leveraging advanced techniques in data mining and visualization. High demand in UK higher education.
Educational Data Analyst Extract insights from educational data, focusing on student success and identifying at-risk students. Requires strong statistical modeling skills.
Data Scientist (Education) Develop predictive models for student retention, using machine learning and statistical methods. Involves collaborating with educational stakeholders.
Instructional Designer (Learning Analytics Focus) Design and develop engaging learning experiences informed by learning analytics data. Bridges the gap between data insights and instructional strategies.

Key facts about Certified Specialist Programme in Using Learning Analytics for Student Retention

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The Certified Specialist Programme in Using Learning Analytics for Student Retention equips participants with the skills to leverage data-driven insights for improved student success. This intensive programme focuses on practical application, enabling participants to analyze learning data effectively and translate findings into actionable strategies.


Learning outcomes include mastering data visualization techniques, developing predictive models for at-risk students, and implementing interventions to enhance student retention. Participants will gain proficiency in using various learning analytics tools and interpreting complex datasets to inform pedagogical decisions and institutional policy. The programme emphasizes the ethical considerations surrounding data privacy and responsible use of learning analytics.


The programme typically runs for six weeks, incorporating a blend of online modules, interactive workshops, and practical case studies. The flexible format allows participants to integrate their learning with their existing professional commitments while benefiting from expert instruction and peer-to-peer learning.


This Learning Analytics certification holds significant industry relevance for higher education institutions, student support services, and educational technology companies. Graduates are well-prepared to contribute to evidence-based decision-making, improve institutional efficiency, and ultimately enhance student outcomes. The skills learned are transferable across various educational settings and contribute to career advancement within the field of educational data mining and student success initiatives.


Successful completion of the programme and the associated assessments leads to the awarding of a Certified Specialist certificate, showcasing a demonstrable expertise in using learning analytics to boost student retention. This credential enhances professional credibility and opens doors to exciting career opportunities in the rapidly growing field of educational technology and data science.

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Why this course?

The Certified Specialist Programme in Using Learning Analytics for Student Retention is increasingly significant in today’s UK higher education market. With dropout rates hovering around 15% (source needed for accurate statistic replacement), institutions are actively seeking ways to improve student success. This programme provides professionals with the crucial skills to leverage learning analytics for proactive student support. Understanding student behaviour through data analysis allows for early intervention strategies, identifying at-risk students and providing tailored support before they disengage.

Learning analytics expertise is becoming a highly sought-after skill. A recent (source needed for accurate statistic replacement) survey suggests that a significant percentage of UK universities plan to expand their learning analytics teams in the coming years, highlighting the growing demand for certified specialists.

University Retention Rate
University X 88%
University Y 85%

Who should enrol in Certified Specialist Programme in Using Learning Analytics for Student Retention?

Ideal Audience for the Certified Specialist Programme in Using Learning Analytics for Student Retention Description
Higher Education Professionals Lecturers, tutors, and learning technologists seeking to improve student success rates. With UK universities facing increasing pressure to enhance retention (e.g., a recent report indicated X% dropout rate), this programme empowers educators to leverage data-driven insights for effective interventions.
Student Support Staff Advisors, mentors, and wellbeing officers aiming to identify at-risk students early and provide targeted support. Understanding learning analytics empowers you to proactively address challenges and improve student experience, leading to better retention outcomes.
Institutional Researchers Professionals responsible for analyzing institutional data and reporting on key performance indicators. Mastering learning analytics provides a deeper understanding of student journeys, allowing more informed decision-making around strategic improvements to student retention strategies.
Data Analysts/Programmers Individuals with a data analysis background who want to specialize in the application of learning analytics within the education sector. Translate raw data into actionable insights, impacting student success and ultimately, increasing student retention rates across your institution.