A Rigorous Adventure That Challenges You to Think, Create, and Accomplish.
A Rigorous Adventure That Challenges You to Think, Create, and Accomplish.
A Rigorous Adventure That Challenges You to Think, Create, and Accomplish.
Choose from 5 research tracks, each led by a tenured professor from a world-class university.
Choose from 5 research tracks, each led by a tenured professor from a world-class university.
Led by Prof. Max Krasnow
Professor, Department of Psychology, Harvard University
Awards & Recognition: Harvard President’s Fund for Academic Research Award
Excellence in Teaching Award (Department of Brain and Cognitive Sciences, Harvard)
Focuses on the evolutionary origins and computational design of human behavior, with interdisciplinary work across:
• Social interaction and cooperation
• Evolutionary game theory
• Spatial cognition
• Foraging behavior and adaptation
• Development of reasoning and tool use
• Political psychology
• Evolution of music and cognition
Led by Prof. Max Krasnow
Professor, Department of Psychology, Harvard University
Awards & Recognition: Harvard President’s Fund for Academic Research Award
Excellence in Teaching Award (Department of Brain and Cognitive Sciences, Harvard)
Focuses on the evolutionary origins and computational design of human behavior, with interdisciplinary work across:
• Social interaction and cooperation
• Evolutionary game theory
• Spatial cognition
• Foraging behavior and adaptation
• Development of reasoning and tool use
• Political psychology
• Evolution of music and cognition
Evolutionary Psychology
Human behaviour drives every decision, relationship, and social system. This track combines evolutionary psychology and behavioural science to explain why people think and act the way they do and how that understanding applies across business, policy, and society.
Evolutionary Psychology
Human behaviour drives every decision, relationship, and social system. This track combines evolutionary psychology and behavioural science to explain why people think and act the way they do and how that understanding applies across business, policy, and society.
Suitable Fit for ..
Students interested in psychology, social sciences, biology, neuroscience, anthropology, child development, and music cognition, particularly those planning to pursue majors or careers in psychology (evolutionary, social, developmental, behavioral, cognitive, or music psychology), management, sociology, and anthropology.
Suitable Fit for ..
Students interested in psychology, social sciences, biology, neuroscience, anthropology, child development, and music cognition, particularly those planning to pursue majors or careers in psychology (evolutionary, social, developmental, behavioral, cognitive, or music psychology), management, sociology, and anthropology.
Course Objectives
How Evolution Shapes Human Behaviour
Behaviour Through Biology & Society
Psychology in the Real World
Led by Prof. Alexander Ploss
Department of Molecular Biology
Princeton University
Ph.D. in Immunology, Memorial Sloan-Kettering Cancer Center / Cornell University
Postdoctoral training, Rockefeller University Former Research Associate Professor, Rockefeller University B.S. & M.S. in Biochemistry, University of Tübingen
Focuses on immune responses and pathogenesis of human infectious diseases, combining interdisciplinary approaches across:
• Microbiology
• Virology
• Human hepatotropic pathogens (e.g., hepatitis viruses)
• Immune responses to infectious diseases
• Malaria and related pathogens
Immunology & Cancer Therapy
Biotechnology and immunology are transforming how we fight infectious diseases and cancer. From vaccine development to immunotherapy, this track bridges foundational biology with the cutting-edge research reshaping global medicine.
Suitable Fit for ..
Students interested in biology, chemistry, medicine, and life sciences, particularly those planning to pursue careers in biochemistry, pharmaceuticals, vaccine development, epidemiology, and biomedical research.
Course Objectives
Immunology, Virology & Disease
Drug Discovery & Vaccine Development
Drug Discovery & Vaccine Development
Led by Prof. Björn Schuller
Department of Computing - Faculty of EngineeringCo-founder, audEERING
Leading expert in affective computing and AI for speech and audio analysis, with research spanning:
• Artificial Intelligence
• Deep Learning
• Audio and Speech Signal Processing
• Affective Computing (Emotion AI)
• Health Informatics
AI Core Algorithms
Artificial intelligence is transforming how machines understand human speech, emotion, and behaviour. From voice assistants to healthcare diagnostics, this track bridges cutting-edge deep learning research with the real-world AI systems reshaping how humans and machines interact.
Suitable Fit for ..
Students interested in artificial intelligence, neural networks, deep learning, and intelligent systems, particularly those planning to pursue majors such as Computer Science, Software Engineering, Information Systems, and AI-related fields, and careers in machine learning, algorithms, programming, and pattern recognition.
Suggested prerequisites: Basic knowledge of calculus, linear algebra, and programming.
Course Objectives
AI, Deep Learning & Neural Networks
Speech Recognition & Emotion AI
HCI, Healthcare AI & Intelligent Systems
Led by Prof. Peter Zhang
Department of Operations Research
Carnegie Mellon University
Specializes in optimization theory and its real-world applications, with an interdisciplinary focus across:
• Optimization Theory
• Artificial Intelligence & Machine Learning
• Reinforcement Learning
AI Operations & Decision-Making
In today's economy, the most important business decisions are driven by data, AI, and optimization. From supply chain management to pricing strategy, analytical tools are solving problems that were once impossible to crack.
This track teaches you how to apply these tools in real business contexts, bridging the gap between classroom theory and the decisions that actually move companies forward.
Suitable Fit for ..
Students interested in Business Analytics, Data Science, Computer Science, Operations Research, Artificial Intelligence, Machine Learning, Applied Mathematics, and Information Systems, and planning to pursue majors such as Business Analytics / Data Science, Computer Science, Electrical & Computer Engineering, Operations Research, Information Systems Management, Supply Chain Management, and Logistics & Operations Management.
Suggested prerequisites: Calculus, Linear Algebra, and basic Python programming, with an interest in business problem-solving and data-driven decision-making.
Course Objectives
AI, Optimization & Data-Driven Decision-Making
Apply to Supply Chain, Pricing & Operations
Python-Based Data Analysis & Modeling
Led by Prof. Robert Lyon
Stern School of Business
New York University
Specializes in the intersection of business and society, with a focus on how organizations operate within broader social and economic systems. His work spans:
• Business and Society
• Social Entrepreneurship
• Cultural and Business Development
• NGO and Nonprofit Operational Models
• Global Economic Systems and Emerging Trends
Sustainable Digital Economy
The global economy no longer rewards profit alone. Businesses today are expected to balance growth with sustainability, social impact, and public responsibility. From ESG investing to the sharing economy, this track explores how organizations create value — economically, socially, and environmentally.
Suitable Fit for ..
Students interested in green economy, social economy, sociology, and business-related fields, and planning to pursue majors such as Economics, Management, Sociology, and other business disciplines, particularly those aiming for careers in policy research, capital markets, consulting, or socially impactful business sectors.
Course Objectives
Business, Society & Public Policy
Sustainability, Enterprise & the Sharing Economy
Responding to Global Challenges
Led by Prof. Alexander Ploss
Department of Molecular Biology
Princeton University
Ph.D. in Immunology, Memorial Sloan-Kettering Cancer Center / Cornell University
Postdoctoral training, Rockefeller University Former Research Associate Professor, Rockefeller University B.S. & M.S. in Biochemistry, University of Tübingen
Focuses on immune responses and pathogenesis of human infectious diseases, combining interdisciplinary approaches across:
• Microbiology
• Virology
• Human hepatotropic pathogens (e.g., hepatitis viruses)
• Immune responses to infectious diseases
• Malaria and related pathogens
Immunology & Cancer Therapy
Biotechnology and immunology are transforming how we fight infectious diseases and cancer. From vaccine development to immunotherapy, this track bridges foundational biology with the cutting-edge research reshaping global medicine.
Suitable Fit for ..
Students interested in biology, chemistry, medicine, and life sciences, particularly those planning to pursue careers in biochemistry, pharmaceuticals, vaccine development, epidemiology, and biomedical research.
Immunology, Virology & Disease
Drug Discovery & Vaccine Development
Drug Discovery & Vaccine Development
Led by Prof. Björn Schuller
Department of Computing - Faculty of EngineeringCo-founder, audEERING
Leading expert in affective computing and AI for speech and audio analysis, with research spanning:
• Artificial Intelligence
• Deep Learning
• Audio and Speech Signal Processing
• Affective Computing (Emotion AI)
• Health Informatics
AI Core Algorithms
Artificial intelligence is transforming how machines understand human speech, emotion, and behaviour. From voice assistants to healthcare diagnostics, this track bridges cutting-edge deep learning research with the real-world AI systems reshaping how humans and machines interact.
Suitable Fit for ..
Students interested in artificial intelligence, neural networks, deep learning, and intelligent systems, particularly those planning to pursue majors such as Computer Science, Software Engineering, Information Systems, and AI-related fields, and careers in machine learning, algorithms, programming, and pattern recognition.
Suggested prerequisites: Basic knowledge of calculus, linear algebra, and programming.
AI, Deep Learning & Neural Networks
Speech Recognition & Emotion AI
HCI, Healthcare AI & Intelligent Systems
Led by Prof. Peter Zhang
Department of Operations Research Carnegie Mellon University
Specializes in optimization theory and its real-world applications, with an interdisciplinary focus across:
• Optimization Theory
• Artificial Intelligence & Machine Learning
• Reinforcement Learning
AI Operations & Decision-Making
In today's economy, the most important business decisions are driven by data, AI, and optimization. From supply chain management to pricing strategy, analytical tools are solving problems that were once impossible to crack.
This track teaches you how to apply these tools in real business contexts, bridging the gap between classroom theory and the decisions that actually move companies forward.
Suitable Fit for ..
Students interested in Business Analytics, Data Science, Computer Science, Operations Research, Artificial Intelligence, Machine Learning, Applied Mathematics, and Information Systems, and planning to pursue majors such as Business Analytics / Data Science, Computer Science, Electrical & Computer Engineering, Operations Research, Information Systems Management, Supply Chain Management, and Logistics & Operations Management.
Suggested prerequisites: Calculus, Linear Algebra, and basic Python programming, with an interest in business problem-solving and data-driven decision-making.
AI, Optimization & Data-Driven Decision-Making
Apply to Supply Chain, Pricing & Operations
Python-Based Data Analysis & Modeling
Led by Prof. Robert Lyon
Stern School of Business
New York University
Specializes in the intersection of business and society, with a focus on how organizations operate within broader social and economic systems. His work spans:
• Business and Society
• Social Entrepreneurship
• Cultural and Business Development
• NGO and Nonprofit Operational Models
• Global Economic Systems and Emerging Trends
Sustainable Digital Economy
The global economy no longer rewards profit alone. Businesses today are expected to balance growth with sustainability, social impact, and public responsibility. From ESG investing to the sharing economy, this track explores how organizations create value — economically, socially, and environmentally.
Suitable Fit for ..
Students interested in green economy, social economy, sociology, and business-related fields, and planning to pursue majors such as Economics, Management, Sociology, and other business disciplines, particularly those aiming for careers in policy research, capital markets, consulting, or socially impactful business sectors.
Business, Society & Public Policy
Sustainability, Enterprise & the Sharing Economy
Responding to Global Challenges
