AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact
A collaboration between Astana IT University and MIT IDSS
AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact
AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact
The MIT Institute for Data, Systems, and Society (IDSS) brings together expertise from Data Science, statistics, information theory, social sciences, and systems engineering to address some of the world’s most complex challenges. Through its research and educational programs, MIT IDSS equips professionals with analytical tools and interdisciplinary frameworks that enable a deeper understanding of interconnected systems. As part of the 1st ranked university in the world (QS World University Rankings 2025) and 2nd ranked national university in the U.S. (U.S. News & World Report 2025), its commitment to rigorous, application-oriented learning continues to shape how data-driven decisions are made across industries.
Personalized mentorship and support
Live mentorship and guidance from AI, Data Science, and Machine Learning practitioners on weekends
Collaborative yet personalized sessions in small groups
Who is this Program For?
- Professionals driving or contributing to transformation through the launch and scaling of AI and Data Science initiatives across organizations
- Leaders and specialists who need to translate complex data into strategic decisions and measurable business value
- Professionals seeking to deepen their expertise in Data Science, Machine Learning, and AI through a hands-on, application-driven approach
- Professionals focused on applying advanced AI capabilities — including Generative AI, Deep Learning, and Recommendation Systems — to solve real business challenges
About the Program
- AI systems are generating insights from data at a scale
never seen before. As industries increasingly rely on
Data Science, AI and Machine Learning to drive
innovation and efficiency, the demand for professionals
with advanced analytical skills continues to rise.
According to PwC, Artificial Intelligence is expected to contribute $15.7 trillion to the global economy by 2030, with nearly half of that growth coming from AI-driven product enhancements.
The 12-week AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact program (previously called the Data Science and Machine Learning: Making Data Driven Decisions) by MIT IDSS equips you to master the tools, techniques, and perspectives needed to lead in a data-first era and apply cutting-edge solutions to real-world problems. You will explore key topics such as Deep Learning, Computer Vision, Recommendation Systems, and Ethical and Responsible AI. - Key Topics: Foundations of Data Science, including data quality, problem framing, statistical thinking, and causal inference; Machine Learning, covering regression, decision trees, neural networks, and reinforcement learning; Generative AI and Large Language Models, with a focus on business and organizational applications; Responsible AI, addressing bias, ethics, regulation, and data governance; and applied AI practice through hands-on work with your organization’s use cases under the mentorship of Astana IT University faculty.
Advance your AI and Data Science skills to solve business problems with this program for professionals.
Fundamentals of AI for Leaders in Public and Private Sectors
3-Day bootcamp: Fundamentals of AI for Leaders in Public and Private Sectors
This three-day course provides a comprehensive view of AI, examining its benefits and challenges as it is deployed across various sectors of society. It presents a unified perspective on the full AI lifecycle, exploring how different components interact to create viable solutions for societal challenges. Additionally, the course addresses the regulatory landscape, focusing on strategies to mitigate unintended consequences such as system failures, biases, discrimination, and ethical concerns while maximizing AI’s overall societal benefits. Delivered in a discussion-based format, the course allows ample time for participants to develop and refine their own ideas. An effective AI strategy consists of four key components: infrastructure investment and maintenance, skilled workforce development, research and entrepreneurship, and governance and regulation. Implementing such a strategy requires strong collaboration among stakeholders, particularly business leaders, government officials, and educators. While mapping an AI strategy—whether for a government or a business—is a complex undertaking, this course simplifies the process by providing a structured framework to analyze AI technologies
What Sets This Program Apart
• Integrates technology, policy, and strategy into a unified framework
• Emphasizes decision-making over technical depth
• Addresses real-world risks, including bias, misinformation, system failures, and regulation
• Designed for leaders operating in complex, high-stakes environments
6 modules in 3 days
- Full AI lifecycle: from problem formulation to implementation
- Data Science, machine learning, and AI for decision-making
- Generative AI and agentic AI: opportunities and limitations
- Responsible and ethical AI, data governance
- AI regulation: approaches of the EU, the USA, and China — and what they mean for the region
- Group sessions based on cases from Kazakhstan and Eurasian countries
For Leaders Who Shape the Future
- • C-level executives
• Government officials and policymakers
• Heads of strategy, innovation, and digital transformation
Professor Munther A. Dahleh
William A. Coolidge Professor, MIT EECS
Founder and First Director of MIT IDSS
Member of the Laboratory for Information and Decision Systems (LIDS)
Internationally recognized researcher in networked systems, control theory, decision-making, and systemic risk. He led MIT IDSS from its founding in 2015 until 2023.
Research interests: networked systems, social networks and opinion dynamics, systemic risk, transportation systems and infrastructure resilience.
Professor Munther Dahleh, Founder and First Director of MIT IDSS, will personally conduct a 3-day intensive course at Astana IT University on June 17–19 as part of AI Week.
The program includes two tracks for specialists, leaders, and decision-makers.