Certificate Programme in Data Analysis for Student Wellbeing

Thursday, 26 February 2026 04:40:43

International applicants and their qualifications are accepted

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Overview

Overview

Data Analysis for Student Wellbeing: This Certificate Programme equips educators and student support professionals with essential data analysis skills.


Learn to interpret student performance data, identify trends, and improve interventions.


This practical programme uses statistical software and real-world case studies. Data visualization techniques are also covered.


Enhance your understanding of student needs and develop evidence-based strategies. Improve student outcomes using data-driven decision-making.


The Data Analysis for Student Wellbeing Certificate is your pathway to better student support. Explore the programme today!

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Data Analysis for Student Wellbeing is a certificate programme designed to equip you with essential skills in analyzing educational data to improve student outcomes. This intensive programme combines practical statistical analysis with real-world case studies, focusing on student success and mental health. Gain expertise in data visualization, predictive modelling, and ethical considerations. Data Analysis techniques learned here are directly applicable to a range of careers in education, research, and student support services, opening doors to exciting opportunities. Our unique feature? A mentorship program with industry professionals. Enhance your career prospects today with this impactful Data Analysis programme.

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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 Data Analysis for Student Wellbeing
• Data Collection Methods in Student Wellbeing Research (Surveys, Interviews, etc.)
• Descriptive Statistics and Data Visualization for Student Wellbeing
• Inferential Statistics and Hypothesis Testing in Student Wellbeing
• Regression Analysis for Predicting Student Wellbeing Outcomes
• Data Mining and Predictive Modelling for Student Support Interventions
• Ethical Considerations in Student Wellbeing Data Analysis
• Data Analysis Tools and Software (e.g., SPSS, R)
• Communicating Data Analysis Findings for Student Wellbeing Improvement

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
Data Analyst (Student Wellbeing) Analyze student data to improve support services and interventions. Leverage data analysis skills for actionable insights.
Data Scientist (Educational Technology) Develop data-driven solutions for educational platforms, focusing on student engagement and success. Apply advanced data science techniques.
Business Intelligence Analyst (Higher Education) Translate complex data into business strategies for universities. Utilize data visualization and reporting skills.
Research Analyst (Student Outcomes) Conduct quantitative and qualitative research to understand student outcomes and inform policy decisions. Analyze and interpret data effectively.

Key facts about Certificate Programme in Data Analysis for Student Wellbeing

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This Certificate Programme in Data Analysis for Student Wellbeing equips students with the skills to analyze educational data and improve student outcomes. The program focuses on practical application, allowing participants to directly contribute to a more supportive learning environment.


Learning outcomes include mastering data visualization techniques using tools like Tableau or Power BI, proficiency in statistical analysis relevant to student success metrics (e.g., retention rates, GPA), and the ability to interpret data to inform evidence-based decision-making for student support services. Students will develop crucial data mining skills for educational research.


The program's duration is typically 12 weeks, delivered through a blend of online modules and interactive workshops. This flexible format caters to the schedules of working professionals and students alike. The curriculum is designed to be engaging and immediately applicable to real-world scenarios.


The Certificate Programme in Data Analysis for Student Wellbeing is highly relevant to various sectors. Graduates are well-prepared for roles in student affairs, institutional research, educational technology, and data analytics within educational institutions. The skills learned translate readily to other industries that value data-driven decision making and student success.


Furthermore, the program emphasizes ethical considerations in data analysis, ensuring students understand data privacy and responsible use of student information. This aspect is crucial for maintaining student confidentiality and adhering to data protection regulations.


Upon successful completion, participants receive a certificate demonstrating their competency in data analysis applied to student wellbeing. This qualification enhances career prospects and showcases a commitment to improving educational outcomes through data-driven strategies.

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Why this course?

A Certificate Programme in Data Analysis is increasingly significant for student wellbeing in today's UK job market. The demand for data analysts is booming; the Office for National Statistics reported a 29% increase in data science roles between 2020 and 2022. This surge creates substantial career opportunities, directly impacting student wellbeing through improved employment prospects and higher earning potential. Acquiring data analysis skills provides graduates with a competitive edge, reducing post-graduation anxiety and boosting confidence.

This is reflected in improved mental health outcomes, as financial security and career stability are key factors contributing to overall wellbeing. A recent survey by the Higher Education Statistics Agency (HESA) showed a correlation between graduates with data-related skills and higher rates of job satisfaction.

Year Data Science Role Growth (%)
2020-2022 29%

Who should enrol in Certificate Programme in Data Analysis for Student Wellbeing?

Ideal Audience for our Data Analysis Certificate Programme for Student Wellbeing
This Data Analysis certificate is perfect for educators, student support staff, and researchers passionate about improving student wellbeing. In the UK, mental health issues affect a significant number of students (source needed for statistic), making data-driven insights crucial for effective interventions. This programme empowers you to utilise statistical techniques and data visualisation to understand trends, predict needs, and develop targeted wellbeing strategies. Whether you're already working in a student support role or seeking a career change to make a meaningful difference, this programme provides the practical skills to analyse and interpret data related to student mental health, academic performance, and overall student success, leading to evidence-based improvements in student experience.