Undergraduate Certificate in Text Analytics for Student Feedback

Tuesday, 09 September 2025 16:20:55

International applicants and their qualifications are accepted

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Overview

Overview

Text Analytics for Student Feedback

Understand student opinions and improve educational experiences with this Text Analytics course.

Designed for educators, administrators, and data analysts, this Text Analytics program helps you extract insights from student feedback, sentiment analysis, and topic modeling.

Gain practical skills in natural language processing, machine learning, and data visualization to unlock the full potential of student feedback.

Some key concepts include text preprocessing, sentiment analysis, topic modeling, and clustering, all applied to real-world educational scenarios.

By the end of this course, you'll be able to analyze and act on student feedback, leading to improved student outcomes and enhanced educational programs.

Explore the world of Text Analytics for Student Feedback and discover how to turn student opinions into actionable insights.

Text Analytics is a powerful tool for extracting insights from student feedback, and our Undergraduate Certificate in Text Analytics for Student Feedback is designed to equip you with the skills to harness its potential. By learning to analyze and interpret large volumes of text data, you'll gain a competitive edge in the job market and enhance your career prospects in fields such as data science, marketing, and education. This course offers unique features like hands-on experience with industry-leading tools and a focus on practical applications, ensuring you can apply your knowledge to real-world problems.

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

• Natural Language Processing (NLP) for Text Analytics • Text Preprocessing Techniques for Student Feedback Analysis • Sentiment Analysis and Opinion Mining • Topic Modeling for Identifying Student Concerns • Text Classification for Feedback Categorization • Information Extraction for Extracting Key Insights • Text Summarization for Condensing Feedback • Machine Learning Algorithms for Predictive Analytics • Data Visualization for Presenting Feedback Insights • Ethics and Bias in Text Analytics for Student Feedback

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

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+44 75 2064 7455

admissions@lsib.co.uk

+44 (0) 20 3608 0144



Career path

Key facts about Undergraduate Certificate in Text Analytics for Student Feedback

The Undergraduate Certificate in Text Analytics for Student Feedback is a specialized program designed to equip students with the skills necessary to analyze and interpret large volumes of text data, such as student feedback, to gain valuable insights and inform decision-making.
This program focuses on teaching students how to extract relevant information from unstructured text data, using techniques such as natural language processing (NLP) and machine learning algorithms. By the end of the program, students will be able to apply text analytics techniques to real-world problems, including student feedback, to identify trends, patterns, and sentiment.
The duration of the Undergraduate Certificate in Text Analytics for Student Feedback is typically one year full-time, although part-time options are also available. Students can expect to spend around 20 hours per week studying and completing coursework, with the option to take online or on-campus classes.
Industry relevance is a key aspect of this program, as text analytics is a highly sought-after skill in many industries, including education, marketing, and customer service. By completing this program, students can demonstrate their ability to analyze and interpret text data, making them more attractive to potential employers.
Upon completion of the program, students can expect to gain a range of skills, including data analysis, programming, and software development. They will also have the opportunity to work on real-world projects, applying text analytics techniques to student feedback and other datasets.
The Undergraduate Certificate in Text Analytics for Student Feedback is designed to be completed in just one year, making it an ideal option for students who want to gain specialized skills in a short amount of time. With its focus on industry relevance and real-world applications, this program is sure to provide students with the skills and knowledge they need to succeed in the job market.

Why this course?

Text Analytics for Student Feedback holds immense significance in today's market, particularly in the UK. According to a recent survey by the Higher Education Statistics Agency (HESA), 71% of UK universities use data analytics to inform their student experience strategies. Moreover, a study by the Association of Commonwealth Universities found that institutions that utilized text analytics saw a 25% increase in student satisfaction.
UK Universities Text Analytics Adoption Student Satisfaction Increase
71% 25%

Who should enrol in Undergraduate Certificate in Text Analytics for Student Feedback?

Text Analytics for Student Feedback Ideal Audience
Academics and researchers in higher education institutions Individuals with a strong interest in student experience, learning analytics, and data-driven decision making
Those working in student services, admissions, and recruitment Professionals seeking to leverage text analytics to gain insights into student behavior, preferences, and feedback
Higher education professionals with limited technical expertise Individuals who want to develop practical skills in text analytics and apply them to improve student outcomes and satisfaction
UK-based students and academics interested in data science and analytics Those looking to enhance their employability and contribute to the development of evidence-based policies in higher education