Professional Certificate in Feminist Perspectives in Data Science

Monday, 23 February 2026 23:14:21

International applicants and their qualifications are accepted

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Overview

Overview

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Professional Certificate in Feminist Perspectives in Data Science equips data scientists with critical tools to address gender bias.


This certificate program examines how gender and other intersecting identities shape data collection, analysis, and interpretation.


Learn to identify and mitigate bias in algorithms and datasets. Understand the ethical implications of data science.


Designed for data scientists, researchers, and students passionate about social justice and data ethics.


Gain practical skills to promote fairer and more equitable outcomes with your data work. Develop a feminist lens for data analysis.


Explore the impact of algorithmic bias and develop strategies for inclusive innovation. This Professional Certificate in Feminist Perspectives in Data Science is your path to responsible data science.


Enroll today and become a change-maker in the field!

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This Professional Certificate in Feminist Perspectives in Data Science equips you with the critical skills to analyze data through a feminist lens. Gain expertise in gender bias detection and algorithmic fairness, while advancing your data science career. This unique program fosters ethical data practices, intersectionality, and inclusive methodologies. You'll develop crucial skills for high-demand roles in tech, academia, and policy, building a more equitable future. Bias mitigation techniques and feminist data analysis methodologies are central. Boost your resume and impact your field with this transformative certificate.

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

• Gender Bias in Data Collection and Algorithms
• Feminist Epistemologies and Data Science
• Intersectionality and Data Analysis: Race, Class, and Gender
• Algorithmic Accountability and Social Justice
• Visualizing Gender Inequality with Data
• Data Ethics and Feminist Standpoint Theory
• Building Inclusive Data Science Teams
• Case Studies: Feminist Data Science in Action
• Feminist Data Science Methods and Tools

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

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

Role Description
Data Scientist (Feminist Perspectives) Applies data science techniques to address gender inequality and promote social justice, analyzing data sets with a critical feminist lens. High demand for ethical and inclusive data practices.
AI Ethics Consultant (Gender Focus) Specializes in ensuring fairness, accountability, and transparency in AI systems, actively mitigating gender bias in algorithms and data sets. Growing field requiring specialized skills.
Data Analyst (Social Justice) Analyzes data to identify and address social inequalities, particularly impacting women and marginalized groups. Strong focus on impactful data storytelling and visualization.
Data Visualization Specialist (Feminist lens) Creates compelling data visualizations that communicate complex information about gender inequality in an accessible and engaging manner. Important for advocacy and policy changes.

Key facts about Professional Certificate in Feminist Perspectives in Data Science

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The Professional Certificate in Feminist Perspectives in Data Science equips participants with the critical skills to identify and address gender bias in data and algorithms. This program fosters a deeper understanding of how societal inequalities are reflected and perpetuated within data science practices.


Learning outcomes include developing proficiency in techniques for bias detection and mitigation, gaining a strong theoretical foundation in feminist data science, and crafting impactful projects that showcase responsible data practices. Participants will also improve their abilities in data visualization and communication, crucial for effectively conveying findings related to gender equity.


The program's duration typically spans several weeks or months, depending on the specific course structure and intensity. The exact time commitment will be clearly outlined in the program details. Flexibility is often a key feature to accommodate various learning styles and schedules.


This Professional Certificate in Feminist Perspectives in Data Science holds significant industry relevance. Employers increasingly prioritize ethical and inclusive data practices, recognizing the crucial role of gender equity in algorithmic fairness. Graduates become highly sought-after professionals equipped to navigate the complex challenges of bias in artificial intelligence and machine learning.


By completing this certificate, students build a competitive edge within the growing field of responsible data science, demonstrating commitment to inclusivity and ethical AI development. This advanced training in data ethics, critical data studies, and feminist theory translates directly into practical skills, enhancing career prospects and promoting positive social impact.

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Why this course?

A Professional Certificate in Feminist Perspectives in Data Science is increasingly significant in today’s UK market. The tech sector, while growing rapidly, still lags behind in gender equality. According to a recent study by the Office for National Statistics, only 19% of UK tech professionals are women. This underrepresentation leads to biased algorithms and skewed data analysis, highlighting the urgent need for diverse perspectives.

This certificate addresses this critical gap by equipping professionals with the skills to identify and mitigate gender bias in data sets. By understanding feminist theories and methodologies, graduates can develop more inclusive and equitable data-driven solutions. The demand for such skills is rising as organizations increasingly prioritize ethical and responsible AI development. A survey of 500 UK companies (fictional data for illustrative purpose) indicated a 30% increase in demand for data scientists with expertise in ethical considerations within the last year.

Skill Demand Increase (%)
Bias Detection 25
Ethical AI 35
Inclusive Data Analysis 30

Who should enrol in Professional Certificate in Feminist Perspectives in Data Science?

Ideal Audience for a Professional Certificate in Feminist Perspectives in Data Science Characteristics
Data Scientists seeking ethical considerations Professionals wanting to incorporate gender equity into their work and address algorithmic bias. (Over 50% of UK graduates in STEM subjects are female, yet women remain underrepresented in senior data science roles.)
Students interested in gender studies Individuals exploring the intersection of technology and social justice, wanting to use data science for social good and promoting feminist methodologies.
Researchers focusing on social sciences Academics and researchers interested in quantitative methods with a critical approach towards gender and inclusivity. Data analysis skills, combined with a feminist perspective, can enable stronger research outcomes.
Tech professionals aiming for leadership roles Leaders who wish to foster inclusive and equitable environments within their tech teams. By understanding feminist perspectives in data science, they can improve team dynamics and project outcomes.