Career Advancement Programme in Using Learning Analytics for Academic Advising

Friday, 13 February 2026 01:13:26

International applicants and their qualifications are accepted

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Overview

Overview

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Learning Analytics for Academic Advising: A Career Advancement Programme.


This programme empowers academic advisors. It uses learning analytics to enhance student success.


Develop crucial skills in data interpretation and visualization. Gain expertise in using learning analytics dashboards. Understand how to leverage data for personalized advising strategies.


Learning analytics insights improve student retention and graduation rates. The program is ideal for current advisors and those seeking career advancement in higher education.


Transform your advising practice. Enroll today and unlock the power of data-driven decision-making. Explore the programme now!

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Learning Analytics for Academic Advising: This Career Advancement Programme transforms your advising skills using cutting-edge data analysis. Master predictive modeling and data visualization to personalize student support and improve retention rates. Gain in-demand skills in student success and higher education. This unique programme blends practical application with theoretical frameworks, boosting your career prospects in academic advising, institutional research, or data science. Enhance your professional value and become a leader in evidence-based advising with this transformative Learning Analytics programme. Learn to utilize dashboards and reporting to inform strategic decisions and make a tangible impact on student outcomes. Enroll now and elevate your career.

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 in Higher Education
• Data Sources and Collection Methods for Academic Advising (e.g., LMS, SIS)
• Visualizing Learning Analytics Data: Dashboards and Reporting
• Using Learning Analytics for Early Alert Systems and Student Intervention
• Predictive Modeling and Proactive Advising using Learning Analytics
• Ethical Considerations and Data Privacy in Learning Analytics
• Developing Actionable Insights from Learning Analytics for Academic Advising
• Case Studies: Successful Applications of Learning Analytics in Advising
• Building an Institutional Learning Analytics Strategy (Implementation)
• Advanced Techniques: Machine Learning for Personalized Academic Advising

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

Career Role (Learning Analytics & Academic Advising) Description
Learning Analytics Consultant Develop and implement learning analytics strategies to enhance student success. Analyze data to inform academic advising decisions. High demand in UK higher education.
Educational Data Analyst (Higher Education) Analyze large datasets to identify trends and patterns in student performance. Provide insights for personalized academic advising. Strong analytical and communication skills are key.
Academic Advisor with Learning Analytics Expertise Integrate learning analytics into academic advising practices. Provide tailored support and guidance to students based on data-driven insights. Growing demand in UK universities.
Instructional Designer (Learning Analytics Focused) Design and develop learning experiences informed by learning analytics. Collaborate with academic advisors to optimize student learning pathways. Increasing job opportunities.

Key facts about Career Advancement Programme in Using Learning Analytics for Academic Advising

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A Career Advancement Programme in Using Learning Analytics for Academic Advising equips participants with the skills to leverage data-driven insights for improved student success. This program focuses on practical application, translating complex data into actionable strategies for personalized academic advising.


Key learning outcomes include mastering data visualization techniques, understanding various learning analytics platforms, and developing effective strategies for using learning analytics to enhance student engagement and retention. Participants will learn to identify at-risk students, predict academic performance, and design targeted interventions. The programme also covers ethical considerations and data privacy within the context of student data.


The duration of the programme is typically flexible, ranging from several weeks for intensive short courses to several months for more comprehensive programmes. The specific timeline depends on the institution and the chosen module's depth. Many programmes offer blended learning options, combining online modules with in-person workshops and mentorship opportunities.


This Career Advancement Programme boasts strong industry relevance, preparing graduates for roles in academic advising, student support services, institutional research, and educational technology. Graduates gain valuable skills highly sought after in higher education institutions and related sectors. The ability to interpret learning analytics for improved student outcomes is a crucial skill set for the future of education.


Successful completion of the programme demonstrates proficiency in higher education technology, data analysis for education, and student success strategies. These credentials significantly enhance career prospects and contribute to professional development in the ever-evolving landscape of academic advising.

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Why this course?

Career Advancement Programmes are increasingly leveraging learning analytics for enhanced academic advising, a crucial development given the UK's competitive job market. The Office for National Statistics reports a significant rise in postgraduate qualifications, reflecting a growing need for advanced skills. This trend underscores the importance of personalized support systems that use data to guide students towards successful career paths.

Effective use of learning analytics within Career Advancement Programmes helps identify at-risk students early, facilitating targeted interventions. This personalized approach, combined with data-driven career counselling, enhances employability and contributes to improved graduate outcomes.

Skill Demand
Data Analysis High
Project Management Medium
Communication High

By aligning academic advising with industry needs and utilizing the power of data, Career Advancement Programmes play a vital role in bridging the gap between education and employment in the UK. This contributes to a more skilled and productive workforce, benefiting both individuals and the national economy.

Who should enrol in Career Advancement Programme in Using Learning Analytics for Academic Advising?

Ideal Audience for our Career Advancement Programme in Using Learning Analytics for Academic Advising Description
Academic Advisors Experienced advisors seeking to enhance their skills using data-driven insights from learning analytics to improve student success. With over 2.5 million students in higher education in the UK, the demand for effective advising is high.
Student Support Staff Professionals involved in student support services who want to leverage learning analytics to better understand student needs and inform interventions. This programme will boost your impact by utilising data analysis and visualisation techniques.
Educational Technologists Professionals responsible for implementing and supporting educational technologies; this programme helps you integrate learning analytics effectively into institutional strategies and improve student outcomes.
Data Analysts in Higher Education Individuals working with educational data who seek to apply their analytical skills to improve academic advising practices. This programme will provide context and application to your existing skills.