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the PhD program involves a thorough curriculum of finance courses. Candidates ideally also have a strong background in micro-economics, econometrics, quantitative economics and/or computational economics
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stages. Theoretical perspectives include organizational learning, resource-based view, micro-foundations, strategy process, with work spanning both qualitative and quantitative approaches. Our research
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). PhD students in our department receive excellent training and ample opportunities for feedback. In addition to standard required course work, students typically take courses in machine learning, (micro
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external or Juan Pablo Madiedo Opens external Micro-foundations of innovation networks: Recent research has shown that innovation does not “happen” in isolation; it occurs within a relational context in
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economics and sustainability. In addition to standard required course work, students typically take courses in machine learning, (micro)economics, statistics, causal inference, econometrics, and seminars in