Undergraduate Certificate in Computational Science Journalism

Saturday, 14 February 2026 21:28:06

International applicants and their qualifications are accepted

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Overview

Overview

Computational Science Journalism

is an innovative field that combines the art of storytelling with the power of data analysis. This journalism program is designed for students who want to tell compelling stories with numbers and data.

By learning the fundamentals of computational science, you'll gain the skills to extract insights from large datasets and present them in an engaging way.

Our program is perfect for students who are interested in data journalism, science communication, and storytelling with data. You'll learn how to work with programming languages like Python and R, as well as data visualization tools like Tableau and Power BI.

Throughout the program, you'll work on real-world projects that combine data analysis with narrative writing and storytelling techniques.

So why not explore the exciting world of Computational Science Journalism further? Apply now and discover how you can use data to tell stories that inform and inspire.

Computational science is revolutionizing the way we tell stories, and our Undergraduate Certificate in Computational Science Journalism is at the forefront of this revolution. This innovative course combines the art of journalism with the power of computational science, empowering you to analyze complex data, identify trends, and create engaging narratives. With computational science skills, you'll be able to compute insights that inform your reporting, and analyze data to uncover new stories. Our course offers computational science journalism training, career guidance, and industry connections, leading to exciting career prospects in media, research, and academia.

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

• Data Visualization • Data Analysis • Computational Modeling • Machine Learning • Statistical Computing • Programming for Data Science • Data Mining • Information Retrieval • Scientific Writing • Computational Journalism

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

Key facts about Undergraduate Certificate in Computational Science Journalism

The Undergraduate Certificate in Computational Science Journalism is a unique program that combines the principles of journalism with the power of computational science. This interdisciplinary program is designed to equip students with the skills necessary to tell complex stories using data-driven approaches, making it an essential course for aspiring science journalists. Through this program, students will learn to extract insights from large datasets, visualize complex information, and communicate their findings effectively to various audiences. By the end of the program, students will be able to analyze and interpret data, identify trends, and present their findings in a clear and concise manner, all while maintaining the highest standards of journalistic integrity. The duration of the Undergraduate Certificate in Computational Science Journalism is typically one year, although this may vary depending on the institution and the student's prior experience. Students can expect to spend around 12-15 months completing the program, which includes both theoretical and practical components. The industry relevance of this program cannot be overstated. As science journalism continues to grow in importance, the ability to work with data and computational tools is becoming increasingly essential for science journalists. By completing this program, students will be well-equipped to pursue careers in science journalism, research, and data analysis, and will have a competitive edge in the job market. Graduates of the Undergraduate Certificate in Computational Science Journalism will have a strong foundation in both journalism and computational science, making them versatile and valuable assets to any organization. They will be able to work with a wide range of data sources, from social media to scientific databases, and will be able to communicate complex information in a clear and engaging way.

Why this course?

Computational Science Journalism is a rapidly growing field that combines the skills of data analysis, programming, and storytelling to create engaging and informative content. In the UK, the demand for computational science journalists is increasing, with a report by the National Union of Journalists (NUJ) stating that 75% of UK journalists are using data analysis tools to inform their reporting.
UK Journalists Using Data Analysis Tools
75%
Source: National Union of Journalists (NUJ)

Who should enrol in Undergraduate Certificate in Computational Science Journalism?

Ideal Audience for Undergraduate Certificate in Computational Science Journalism Are you a UK-based student looking to combine your passion for science and journalism? Do you want to stay ahead of the curve in the rapidly evolving media landscape?
Demographics: Our ideal student is typically a UK resident, aged 18-25, with a strong interest in science, technology, engineering, and mathematics (STEM) subjects. They may have a background in journalism, communications, or a related field.
Skills and Interests: Our ideal student is proficient in programming languages such as Python, R, or SQL, and has experience with data analysis and visualization tools like Tableau or Power BI. They are also interested in staying up-to-date with the latest developments in science and technology, and enjoy writing engaging stories for various audiences.
Career Goals: Our ideal student is looking to pursue a career in science journalism, data journalism, or a related field, such as science communication or policy analysis. They aim to use their skills in computational science to tell compelling stories that inform and engage the public.