Broadcast Journalism
Course Overview
This 12-week short course is designed to provide students with a comprehensive understanding of broadcast journalism, including the principles and ethics of journalism, news gathering, reporting, and scriptwriting for broadcast media. The course is structured to equip students with the skills and knowledge necessary for a successful career in broadcast journalism.
The purpose of the three-month certificate course in Data Science with Python at KAAF University College is to equip participants with the essential skills and knowledge required to analyse and interpret data using Python programming language. The course aims to provide a comprehensive understanding of data science principles and techniques, as well as practical experience in using Python for data manipulation, visualization, and analysis. Participants will develop the ability to extract insights and make informed decisions based on data, preparing them for a career in the rapidly growing field of data science.
- To understand the principles and ethics of journalism in the broadcast context
- To develop practical skills in news gathering, reporting, and scriptwriting for broadcast media
- To cultivate proficiency in video production, editing, and multimedia storytelling
- To explore the role of digital media and social platforms in contemporary broadcast journalism
- To foster critical thinking and ethical decision-making in journalism practices
- Graduate in just three months
- Increase your employment chances
- Award of Certificate in Broadcast Journalism from KAAF University College
- Flexible timetable: Morning, Afternoon, Evening and Weekend sessions available
- Affordable fees: GHS 2,500 (you can pay GHS 1,500 to start the program and pay the balance in three installments)
- Foreign students: USD $300 or its Ghanaian cadies equivalent
We understand that life can be busy, which is why we offer flexible class options to fit your schedule:
- Morning classes: Perfect for those who prefer to start their day with a productive learning experience.
- Evening classes: Ideal for those who have daytime commitments and want to learn in the evenings.
- Weekend classes: Great for those who prefer to dedicate their weekends to learning.
The Courses is open to
- SHS School graudates
- Diploma Holders
- Undergraduate students
- Working professionals
- Entrepreneurs
Check the fees here
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Course Timetable
The timetable allows for a comprehensive coverage of all modules, practical application through project work, regular assessments, and exam preparation. Additional review and practice sessions are included to ensure students have a thorough understanding of the concepts and are well-prepared for the final exam and project presentation. The course culminates with a certification ceremony and networking opportunity to connect with industry professionals and explore potential career opportunities in the field of data science.
- Introduction to broadcast journalism
- Principles of ethics in journalism
- History of broadcast journalism
- Overview of radio and television journalism
- Practical exercises: Writing a news story, interviewing techniques
- Researching news stories
- Interviewing techniques
- Scriptwriting for radio and television
- News writing for digital platforms
- Practical exercises: Researching and writing a news story, conducting an interview
- Introduction to video production techniques
- Camera operation and lighting
- Sound recording and editing
- Post-production techniques
- Practical exercises: Producing and editing a short video piece
- Introduction to multimedia storytelling
- Using social media for journalism
- Creating multimedia packages
- Practical exercises: Creating a multimedia package
- Ethics in broadcast journalism
- Laws and regulations governing broadcast journalism
- Critique of current events and issues in broadcast journalism
- Practical exercises: Writing a news story with ethical considerations
- Students will work on a final project applying all skills learned throughout the course
- Presentations and feedback from instructors
- Quizzes and assignments throughout the course
- Final project presentation