Postgraduate Certificate in AI and Public Opinion Research
-- viewing nowArtificial Intelligence (AI) is transforming the field of public opinion research, and this Postgraduate Certificate aims to equip you with the skills to harness its power. Designed for professionals and researchers, this program focuses on the application of AI and machine learning techniques to analyze and interpret public opinion data.
3,828+
Students enrolled
GBP £ 149
GBP £ 215
Save 44% with our special offer
About this course
Through a combination of theoretical foundations and practical applications, you will learn to design and implement AI-driven research studies, analyze complex data sets, and communicate findings effectively.
Gain a competitive edge in the job market with a deep understanding of AI and its applications in public opinion research.
Explore the possibilities of AI in public opinion research and take the first step towards a career in this exciting field.
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course details
•
Machine Learning Fundamentals: This unit provides an introduction to the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It is essential for understanding the underlying concepts of AI and their application in public opinion research. •
Natural Language Processing (NLP) for Text Analysis: This unit focuses on the techniques and tools used for text analysis, including text preprocessing, sentiment analysis, topic modeling, and named entity recognition. It is crucial for analyzing public opinion data and understanding public sentiment. •
Data Visualization for Insights: This unit teaches students how to effectively visualize data to communicate insights and findings. It covers various data visualization techniques, including bar charts, scatter plots, and heatmaps, and is essential for presenting research findings in a clear and concise manner. •
Public Opinion Research Methods: This unit covers the theoretical and practical aspects of public opinion research, including survey design, sampling, data collection, and data analysis. It is essential for understanding the research methods used in public opinion research and how to apply them in AI-powered research. •
AI and Social Media Analytics: This unit explores the use of AI and machine learning algorithms to analyze social media data and understand public opinion. It covers topics such as sentiment analysis, topic modeling, and network analysis, and is crucial for understanding the role of social media in shaping public opinion. •
Ethics and Governance in AI: This unit examines the ethical and governance implications of AI in public opinion research, including issues related to data privacy, bias, and transparency. It is essential for understanding the social and ethical implications of AI-powered research and how to ensure responsible AI development. •
AI-powered Survey Design: This unit teaches students how to design and implement AI-powered surveys that can effectively capture public opinion. It covers topics such as survey optimization, respondent selection, and data weighting, and is crucial for understanding how to use AI to improve survey design. •
Deep Learning for Text Classification: This unit focuses on the application of deep learning techniques to text classification tasks, including sentiment analysis, topic modeling, and named entity recognition. It is essential for understanding the use of deep learning in AI-powered research and how to apply it to public opinion research. •
AI and Public Policy: This unit explores the role of AI in public policy, including issues related to policy evaluation, policy design, and policy implementation. It covers topics such as AI-powered policy analysis, policy optimization, and policy evaluation, and is crucial for understanding the application of AI in public policy. •
Human-Centered AI for Public Opinion Research: This unit emphasizes the importance of human-centered design in AI-powered public opinion research, including issues related to user experience, usability, and accessibility. It is essential for understanding how to design AI-powered research tools that are user-friendly and effective.
Machine Learning Fundamentals: This unit provides an introduction to the basics of machine learning, including supervised and unsupervised learning, regression, classification, clustering, and neural networks. It is essential for understanding the underlying concepts of AI and their application in public opinion research. •
Natural Language Processing (NLP) for Text Analysis: This unit focuses on the techniques and tools used for text analysis, including text preprocessing, sentiment analysis, topic modeling, and named entity recognition. It is crucial for analyzing public opinion data and understanding public sentiment. •
Data Visualization for Insights: This unit teaches students how to effectively visualize data to communicate insights and findings. It covers various data visualization techniques, including bar charts, scatter plots, and heatmaps, and is essential for presenting research findings in a clear and concise manner. •
Public Opinion Research Methods: This unit covers the theoretical and practical aspects of public opinion research, including survey design, sampling, data collection, and data analysis. It is essential for understanding the research methods used in public opinion research and how to apply them in AI-powered research. •
AI and Social Media Analytics: This unit explores the use of AI and machine learning algorithms to analyze social media data and understand public opinion. It covers topics such as sentiment analysis, topic modeling, and network analysis, and is crucial for understanding the role of social media in shaping public opinion. •
Ethics and Governance in AI: This unit examines the ethical and governance implications of AI in public opinion research, including issues related to data privacy, bias, and transparency. It is essential for understanding the social and ethical implications of AI-powered research and how to ensure responsible AI development. •
AI-powered Survey Design: This unit teaches students how to design and implement AI-powered surveys that can effectively capture public opinion. It covers topics such as survey optimization, respondent selection, and data weighting, and is crucial for understanding how to use AI to improve survey design. •
Deep Learning for Text Classification: This unit focuses on the application of deep learning techniques to text classification tasks, including sentiment analysis, topic modeling, and named entity recognition. It is essential for understanding the use of deep learning in AI-powered research and how to apply it to public opinion research. •
AI and Public Policy: This unit explores the role of AI in public policy, including issues related to policy evaluation, policy design, and policy implementation. It covers topics such as AI-powered policy analysis, policy optimization, and policy evaluation, and is crucial for understanding the application of AI in public policy. •
Human-Centered AI for Public Opinion Research: This unit emphasizes the importance of human-centered design in AI-powered public opinion research, including issues related to user experience, usability, and accessibility. It is essential for understanding how to design AI-powered research tools that are user-friendly and effective.
Career path
| **Career Role** | Primary Keywords | Description |
|---|---|---|
| AI/ML Engineer | Artificial Intelligence, Machine Learning, Data Science | An AI/ML Engineer designs and develops intelligent systems that can learn and adapt to new data, applying machine learning algorithms to drive business value. |
| Data Scientist | Data Analysis, Statistical Modeling, Machine Learning | A Data Scientist extracts insights from complex data sets, using statistical models and machine learning algorithms to inform business decisions. |
| Public Opinion Researcher | Public Opinion, Survey Research, Data Analysis | A Public Opinion Researcher designs and implements surveys to understand public attitudes and opinions, using data analysis to inform policy decisions. |
| Business Analyst | Business Intelligence, Data Analysis, Process Improvement | A Business Analyst uses data analysis and business intelligence tools to identify areas for improvement, implementing process changes to drive business growth. |
Entry requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Debug: False
Course fee
MOST POPULAR
Fast Track
GBP £149
Complete in 1 month
Accelerated Learning Path
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
Standard Mode
GBP £99
Complete in 2 months
Flexible Learning Pace
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
What's included in both plans:
- Full course access
- Digital certificate
- Course materials
All-Inclusive Pricing • No hidden fees or additional costs
Get course information
Earn a career certificate
POSTGRADUATE CERTIFICATE IN AI AND PUBLIC OPINION RESEARCH
is awarded to
Learner Name
who has completed a programme at
London School of Planning and Management (LSPM)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
