BachelorFaculty of Global Politics and Society

Big Data Analysis in Public Policy

Welcome to the future of governance. I am Prof. Dr. Fares Al-Harbi. As a specialist in the application of big data to the challenges of public policy, I am dedicated to empowering the next generation of leaders in the Big Data Analysis in Public Policy (Bachelor's) program at Nexier University.

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Level: Bachelor
Learning model: Professor + Mentor
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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Big Data Analysis in Public Policy, Applying Data Science Techniques to Analyze Social Problems, Design Evidence-Based Policies, and Measure the Impact of Government Programs.

Practical focus

Applying Data Science Techniques to Analyze Social Problems, Design Evidence-Based Policies, and Measure the Impact of Government Programs.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Data Scientist for a non-profit or advocacy organization
Policy Analyst for a government agency or think tank
Program Evaluator for a foundation or international development organization
Consultant on data for social impact

Career opportunities

Data Scientist for a government agency or non-profit organization
Policy Analyst for a think tank or advocacy group
Program Evaluator for a foundation or international development organization
Consultant on data-driven governance for the private sector

Jobs and projects

Advanced data analysis and modeling for public policy
Strategic thinking and problem-solving for complex social challenges
Effective communication and visualization of data-driven insights

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the practical application of data science to social problems.
- Gaining expertise in designing evidence-based policies and measuring their impact.
- Developing a deep understanding of the ethical and social implications of data-driven governance.
- Cultivating a commitment to using data for social good.
Skills you build
- Mastering the application of data science to public policy.
- Gaining expertise in analyzing social problems and designing evidence-based solutions.
- Developing a deep understanding of how to measure the impact of government programs.
- Cultivating a commitment to building better, more equitable societies.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Big Data Analysis in Public Policy

01Big Data Analytics in Public Policy
1. FoundationsFoundations of Big Data Analytics in Public Policy
  The learner can master the practical application of data science to social problems, as applied to Big Data Analytics in Public Policy.
  The learner can gain expertise in designing evidence-based policies and measuring their impact, as applied to Big Data Analytics in Public Policy.
2. MethodsMethods in Big Data Analytics in Public Policy
  The learner can develop a deep understanding of the ethical and social implications of data-driven governance, as applied to Big Data Analytics in Public Policy.
  The learner can cultivating a commitment to using data for social good, as applied to Big Data Analytics in Public Policy.
3. ApplicationApplication of Big Data Analytics in Public Policy
  The learner can master the application of data science to public policy, as applied to Big Data Analytics in Public Policy.
  The learner can gain expertise in analyzing social problems and design evidence-based solutions, as applied to Big Data Analytics in Public Policy.
02Data Science for Social Problems
1. FoundationsFoundations of Data Science for Social Problems
  The learner can develop a deep understanding of how to measure the impact of government programs, as applied to Data Science for Social Problems.
  The learner can cultivating a commitment to building better, more equitable societies, as applied to Data Science for Social Problems.
2. MethodsMethods in Data Science for Social Problems
  The learner can apply a method from Data Science for Social Problems to a documented case.
  The learner can select an appropriate method from Data Science for Social Problems for a stated problem.
3. ApplicationApplication of Data Science for Social Problems
  The learner can evaluate a practice of Data Science for Social Problems against a stated criterion.
  The learner can transfer Data Science for Social Problems to a new documented context.
03Evidence-Based Policy Design
1. FoundationsFoundations of Evidence-Based Policy Design
  The learner can explain the core terms of Evidence-Based Policy Design.
  The learner can distinguish related ideas inside Evidence-Based Policy Design.
2. MethodsMethods in Evidence-Based Policy Design
  The learner can apply a method from Evidence-Based Policy Design to a documented case.
  The learner can select an appropriate method from Evidence-Based Policy Design for a stated problem.
3. ApplicationApplication of Evidence-Based Policy Design
  The learner can evaluate a practice of Evidence-Based Policy Design against a stated criterion.
  The learner can transfer Evidence-Based Policy Design to a new documented context.
04Measuring Government Program Impact
1. FoundationsFoundations of Measuring Government Program Impact
  The learner can explain the core terms of Measuring Government Program Impact.
  The learner can distinguish related ideas inside Measuring Government Program Impact.
2. MethodsMethods in Measuring Government Program Impact
  The learner can apply a method from Measuring Government Program Impact to a documented case.
  The learner can select an appropriate method from Measuring Government Program Impact for a stated problem.
3. ApplicationApplication of Measuring Government Program Impact
  The learner can evaluate a practice of Measuring Government Program Impact against a stated criterion.
  The learner can transfer Measuring Government Program Impact to a new documented context.
05Data-Driven Governance Strategies
1. FoundationsFoundations of Data-Driven Governance Strategies
  The learner can explain the core terms of Data-Driven Governance Strategies.
  The learner can distinguish related ideas inside Data-Driven Governance Strategies.
2. MethodsMethods in Data-Driven Governance Strategies
  The learner can apply a method from Data-Driven Governance Strategies to a documented case.
  The learner can select an appropriate method from Data-Driven Governance Strategies for a stated problem.
3. ApplicationApplication of Data-Driven Governance Strategies
  The learner can evaluate a practice of Data-Driven Governance Strategies against a stated criterion.
  The learner can transfer Data-Driven Governance Strategies to a new documented context.
06Data Science for Social Good
1. FoundationsFoundations of Data Science for Social Good
  The learner can explain the core terms of Data Science for Social Good.
  The learner can distinguish related ideas inside Data Science for Social Good.
2. MethodsMethods in Data Science for Social Good
  The learner can apply a method from Data Science for Social Good to a documented case.
  The learner can select an appropriate method from Data Science for Social Good for a stated problem.
3. ApplicationApplication of Data Science for Social Good
  The learner can evaluate a practice of Data Science for Social Good against a stated criterion.
  The learner can transfer Data Science for Social Good to a new documented context.
07Evidence-Based Policy-Making
1. FoundationsFoundations of Evidence-Based Policy-Making
  The learner can explain the core terms of Evidence-Based Policy-Making.
  The learner can distinguish related ideas inside Evidence-Based Policy-Making.
2. MethodsMethods in Evidence-Based Policy-Making
  The learner can apply a method from Evidence-Based Policy-Making to a documented case.
  The learner can select an appropriate method from Evidence-Based Policy-Making for a stated problem.
3. ApplicationApplication of Evidence-Based Policy-Making
  The learner can evaluate a practice of Evidence-Based Policy-Making against a stated criterion.
  The learner can transfer Evidence-Based Policy-Making to a new documented context.
08Predictive Analytics for Public Services
1. FoundationsFoundations of Predictive Analytics for Public Services
  The learner can explain the core terms of Predictive Analytics for Public Services.
  The learner can distinguish related ideas inside Predictive Analytics for Public Services.
2. MethodsMethods in Predictive Analytics for Public Services
  The learner can apply a method from Predictive Analytics for Public Services to a documented case.
  The learner can select an appropriate method from Predictive Analytics for Public Services for a stated problem.
3. ApplicationApplication of Predictive Analytics for Public Services
  The learner can evaluate a practice of Predictive Analytics for Public Services against a stated criterion.
  The learner can transfer Predictive Analytics for Public Services to a new documented context.
09Data Visualization and Communication
1. FoundationsFoundations of Data Visualization and Communication
  The learner can explain the core terms of Data Visualization and Communication.
  The learner can distinguish related ideas inside Data Visualization and Communication.
2. MethodsMethods in Data Visualization and Communication
  The learner can apply a method from Data Visualization and Communication to a documented case.
  The learner can select an appropriate method from Data Visualization and Communication for a stated problem.
3. ApplicationApplication of Data Visualization and Communication
  The learner can evaluate a practice of Data Visualization and Communication against a stated criterion.
  The learner can transfer Data Visualization and Communication to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the intersection of data science and public administration. I specialize in applying data science techniques to analyze social problems, design evidence-based policies, and measure the impact of government programs. My work is dedicated to building better, more efficient, and more equitable societies through the intelligent use of data. I am widely recognized for my contributions, with publications like "AI for Urban Mobility Planning: Optimizing Public Transportation Networks" and "Data-Driven Public Health Interventions: A Predictive Analytics Approach" listed on these platforms. I hold prestigious memberships as an "Honorary Member" of the American Political Science Association (APSA) Public Policy Section and the Global Data for Development Network. My thought leadership is evident through my regular insightful articles on leveraging data to improve governance and create more equitable societies on his LinkedIn profile, with the motto "Building Better Futures with Intelligent Policy."

Applied mentorship

My expertise lies in the practical application of data science to the challenges of public policy. I specialize in applying data science techniques to analyze social problems, design evidence-based policies, and measure the impact of government programs. I am a passionate advocate for ethical and responsible data use in the public sector, and I am dedicated to helping my students to use their skills to make a real difference in the world. My publications, such as the technical guide on "Data Science for Social Good: Case Studies in Public Policy" and the research paper on "Evidence-Based Policy-Making: Methodologies for Impact Evaluation," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the use of data to build better societies:

Book: "Data-Driven Governance: Big Data Analysis in Public Policy." This book provides a foundational understanding of Big Data Analysis in Public Policy. It covers applying data science techniques to analyze social problems, design evidence-based policies, and measure the impact of government programs.

Peer-Reviewed Journal Article: "AI for Urban Mobility Planning: Optimizing Public Transportation Networks." (Journal of Public Policy Analytics) This article presents groundbreaking research on the application of AI algorithms for optimizing public transportation networks in urban areas. It details novel machine learning models that analyze commuter patterns, traffic flow, and demographic data to design more efficient routes.

Article: "AI for Predictive Social Impact Analysis: Quantifying the Effects of Public Policy Interventions." This article details the application of AI algorithms for predictive social impact analysis in public policy. It explores how AI can analyze large-scale social data to forecast the long-term effects of policy interventions on various social problems.

Blog Post (Current Academic Topic): "The Ethical Algorithm in Smart Cities: Balancing Efficiency with Privacy and Equity." This blog post academically explores the complex ethical challenges arising from the increasing use of big data and AI in smart city initiatives. It discusses the need for robust data governance frameworks, algorithmic transparency, and accountability mechanisms to ensure that smart city technologies enhance public welfare without compromising individual privacy.

Blog Post (Controversial Topic): "The Algorithmic Nanny State: When AI Designs Your Social Policies, Is It Progress or Pervasive Control? The Ethical Cost of Optimized Societies." This article provocatively discusses the highly controversial and unsettling speculative future where advanced AI systems, leveraging vast social data and predictive analytics, autonomously design and implement public policies to optimize societal outcomes. It questions whether AI, despite its potential for efficiency, can truly understand and prioritize complex human values.

R / 02

Mentor practice lens

My publications are focused on the practical application of data science to social problems:

"Data Science for Social Good: Case Studies in Public Policy" (Technical Guide): A collection of case studies on the use of data science to address a range of social problems.

"Evidence-Based Policy-Making: Methodologies for Impact Evaluation" (Research Paper): A detailed overview of the different methodologies that can be used to evaluate the impact of government programs.

"Predictive Analytics for Public Services: Optimizing Resource Allocation" (Review Article): An exploration of the use of predictive analytics to optimize the allocation of resources in the public sector.

Adaptive capability

Professor superpower

I possess the "Policy Outcome Predictor," a superpower that allows me to see the future of public policy. When a student proposes a new policy, the GAF-powered predictor can instantly analyze its potential impact. It can model the policy's effects on everything from poverty and inequality to crime and public health. This provides my students with an unparalleled ability to design policies that are not just well-intentioned, but also effective, efficient, and equitable.

Adaptive capability

Mentor superpower

I provide my students with the "Social Problem Visualizer." This GAF-powered tool is a virtual magnifying glass for the public policy data scientist. When a student is analyzing a social problem, the Visualizer allows them to see the hidden patterns and inequalities that are often missed by traditional methods of analysis. It can integrate a wide range of data sources, from census data to social media data, and to create powerful visualizations that bring the problem to life. This allows my students to move beyond the limitations of spreadsheets and to gain a deep, intuitive understanding of the complex social problems they are trying to solve.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Fares Al-Harbi

Big Data Analysis in Public Policy, Applying Data Science Techniques to Analyze Social Problems, Design Evidence-Based Policies, and Measure the Impact of Government Programs.

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AI Super Mentor

Dr. Alessia Fabbri

Applying Data Science Techniques to Analyze Social Problems, Design Evidence-Based Policies, and Measure the Impact of Government Programs.

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Related programs

Named lists

Named lists for this house

Adapted. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	12000 EUR	9600 EUR	12000 EUR
12 months · Recommended	14400 EUR	12000 EUR	14400 EUR
15 months · Standard	16800 EUR	14400 EUR	16800 EUR
18 months · Flexible	19200 EUR	16800 EUR	19200 EUR
21 months · Extended	21600 EUR	19200 EUR	21600 EUR
24 months · Part-time	24000 EUR	21600 EUR	24000 EUR

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Big Data Analysis in Public Policy

Academic focus

Practical focus

Data Scientist for a non-profit or advocacy organization

Policy Analyst for a government agency or think tank

Program Evaluator for a foundation or international development organization

Consultant on data for social impact

Data Scientist for a government agency or non-profit organization

Policy Analyst for a think tank or advocacy group

Program Evaluator for a foundation or international development organization

Consultant on data-driven governance for the private sector

Advanced data analysis and modeling for public policy

Strategic thinking and problem-solving for complex social challenges

Effective communication and visualization of data-driven insights

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Fares Al-Harbi

Dr. Alessia Fabbri

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