Predictive Analytics for Education Part time

Thursday, 12 February 2026 14:33:34

International Students can apply

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Predictive Analytics for Education Part time

Overview

Predictive Analytics for Education Part time


This course is designed for educators and administrators looking to harness the power of data to improve student outcomes. Learn how to use predictive analytics to identify at-risk students, personalize learning experiences, and make data-driven decisions. Gain practical skills in data analysis, machine learning, and data visualization to drive student success. Join a community of like-minded professionals and transform your approach to education with cutting-edge technology. Take the first step towards a more data-informed classroom. Enroll now and unlock the potential of predictive analytics in education.

Predictive Analytics for Education Part time is a cutting-edge course that equips students with the skills to revolutionize the education sector. Through data-driven insights, students will learn to predict student performance, optimize teaching strategies, and enhance learning outcomes. This program offers flexible scheduling for working professionals, allowing them to upskill without disrupting their careers. Graduates can pursue lucrative roles as education data analysts or predictive modeling specialists, with high demand in both the public and private sectors. With a focus on hands-on experience and real-world applications, this course sets students up for success in the rapidly evolving field of educational analytics. (10)

Entry requirements




International Students can apply

Joining our world will be life-changing with a student body representing over 157 nationalities.

LSIB is truly an international institution with history of welcoming students from around the world. With us, you're not just a student, you're a member.

Course Content

• Introduction to Predictive Analytics in Education
• Data Collection and Cleaning
• Data Visualization
• Predictive Modeling Techniques
• Evaluation and Interpretation of Results
• Application of Predictive Analytics in Student Success
• Ethical Considerations in Predictive Analytics
• Case Studies in Educational Predictive Analytics
• Implementation and Integration of Predictive Analytics Tools
• Future Trends in Predictive Analytics for Education

Assessment

The assessment is done via submission of assignment. There are no written exams.

Fee and Payment Plans

30 to 40% Cheaper than most Universities and Colleges

Duration

The programme is available in two duration modes:

6 months: GBP £1250
9 months: GBP £950
This programme does not have any additional costs.
The fee is payable in monthly, quarterly, half yearly instalments.
You can avail 5% discount if you pay the full fee upfront in 1 instalment

6 months - GBP £1250

9 months - GBP £950

40% Cheaper

Our course fee is up to 40% cheaper than most universities and colleges.

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Accreditation

 Awarded by an OfQual regulated awarding body

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  • 1. Complete the online enrolment form and Pay enrolment fee of GBP £10.
  • 2. Wait for our email with course start dates and fee payment plans. Your course starts once you pay the course fee.
  • Apply Now
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Got questions? Get in touch

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Career Opportunity Description
Data Analyst - Education Utilize predictive analytics to analyze student performance data and provide insights to improve educational outcomes.
Research Assistant - Predictive Modeling Assist in developing predictive models to forecast student enrollment trends and optimize resource allocation in educational institutions.
Educational Technology Specialist Implement predictive analytics tools to personalize learning experiences and enhance student engagement in online education platforms.
Curriculum Developer - Data Science Education Design data-driven curriculum that integrates predictive analytics concepts to prepare students for careers in the field of data science.
Instructional Designer - Learning Analytics Create interactive learning materials that leverage predictive analytics insights to personalize instruction and improve student learning outcomes.

Key facts about Predictive Analytics for Education Part time

Predictive Analytics for Education Part time is a comprehensive course designed to equip participants with the necessary skills to analyze data and make informed decisions in the education sector. The learning outcomes include understanding predictive modeling techniques, data visualization, and interpreting results to improve student outcomes and institutional performance.
The duration of the course is typically 6-8 weeks, allowing participants to balance their professional commitments with their learning goals. Through a combination of lectures, case studies, and hands-on projects, students will gain practical experience in applying predictive analytics to real-world educational scenarios.
This course is highly relevant to professionals working in the education industry, including teachers, administrators, and policymakers. By leveraging predictive analytics, educators can identify at-risk students, optimize resource allocation, and enhance overall student success. The skills acquired in this course are in high demand, making graduates valuable assets to educational institutions seeking to improve their decision-making processes.
Overall, Predictive Analytics for Education Part time offers a unique opportunity for individuals looking to enhance their analytical skills and make a meaningful impact in the field of education. With a focus on practical applications and industry relevance, this course provides a solid foundation for leveraging data-driven insights to drive positive change in educational settings.

Why this course?

Predictive Analytics for Education Part time is becoming increasingly significant in today's market, especially in the UK where the demand for flexible learning options is on the rise. According to recent statistics, the number of part-time students in the UK has been steadily increasing, with over 500,000 students enrolled in part-time higher education courses in the 2019/2020 academic year. Predictive analytics plays a crucial role in helping educational institutions tailor their part-time programs to meet the needs of students, by analyzing data to predict student outcomes and identify areas for improvement. By using predictive analytics, institutions can better understand student behavior, anticipate challenges, and provide personalized support to help students succeed. Incorporating predictive analytics into part-time education programs can also help institutions stay competitive in the market by offering innovative and data-driven learning experiences. With the increasing demand for flexible and personalized learning options, predictive analytics can help institutions attract and retain students by providing them with the support they need to achieve their educational goals.

Who should enrol in Predictive Analytics for Education Part time?

The ideal audience for Predictive Analytics for Education Part time are individuals interested in leveraging data to improve educational outcomes. This course is perfect for educators, administrators, and data analysts looking to enhance student success rates through data-driven decision-making.

With the demand for data-driven insights in education on the rise, this course provides valuable skills and knowledge that can help you stay ahead in the field. In the UK, 78% of schools are now using data analytics to improve student performance, making this course highly relevant for those in the education sector.