Duration
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
Course fee
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Masterclass Certificate in Fraudulent Online News
Explore the detection and prevention of fraudulent online news with this specialized course. Designed for journalists, fact-checkers, and digital media professionals, this program equips learners with critical thinking skills to combat misinformation. Learn to verify sources, analyze content, and identify fake news tactics. Stay ahead in the era of misinformation and disinformation with expert insights and practical strategies. Take the first step towards becoming a trusted news watchdog.
Start your learning journey today!
The programme is available in two duration modes:
Fast track - 1 month
Standard mode - 2 months
The fee for the programme is as follows:
Fast track - 1 month: £140
Standard mode - 2 months: £90
Our Masterclass Certificate in Fraudulent Online News equips participants with the necessary skills to detect and combat misinformation in digital media. Through this program, students will learn advanced techniques for identifying fake news, analyzing online sources, and evaluating the credibility of information. The course covers topics such as data analysis, digital forensics, and media literacy.
Duration: 8 weeks, self-paced learning with a combination of video lectures, readings, and hands-on assignments. Participants can access course materials and engage with instructors through our online learning platform.
This certificate is highly relevant in today's digital age, where the spread of fake news poses a significant threat to society. By completing this program, participants will be better equipped to navigate the online information landscape and make informed decisions. The skills learned in this course are invaluable for journalists, researchers, and anyone interested in combating misinformation.
| Year | Percentage of UK Businesses Facing Cybersecurity Threats |
|---|---|
| 2018 | 87% |
| 2019 | 92% |
| 2020 | 95% |