This module is designed for participants who want to understand how data leads into actionable insights, and in turn, to better decisions. We cover a wide range of analytics tools and delve into the entire process of creating value from analytics: from identifying opportunities to analysing the right data to overcoming the implementation challenges.
Duration
1 semester
Format
Online
Language
English
Start date
Spring
Accredited by
This module is designed for participants who want to understand how data leads into actionable insights, and in turn, to better decisions. We cover a wide range of analytics tools and delve into the entire process of creating value from analytics: from identifying opportunities to analysing the right data to overcoming the implementation challenges.
- Duration
1 semester - Format
Online - Language
English - Start date
Spring - Accredited by
The module starts with a general framework on how data can be used to improve decision-making. In doing, it uncovers the fundamentals biases that interfere with the decision-making process, and demonstrates how data can help us overcome them.
Then, we discuss the key areas of analytics: from descriptive to predictive to prescriptive and present different tools and case studies for each area. The module concludes with in-depth case studies from a number of companies that illustrate how those companies managed to overcome any implementation challenges and create tangible value from data science and analytics.
Meet the Instructor
Nektarios Oraiopoulos
Associate Professor at Cambridge Judge Business School
Nektarios Oraiopoulos, PhD, is the Director of the MPhil Programme in Strategy, Marketing, & Operations and an Associate Professor of Operations and Technology Management at the Cambridge Judge Business School of the University of Cambridge. His research on innovation and R&D management has appeared in the leading journals of the field. He has won multiple awards and has been invited to make presentations at both academic and industry conferences. In addition to his academic work, he has advised entrepreneurial start-ups and has worked closely on research projects with numerous executives from the biopharmaceutical industry. He holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, and a PhD in Business Administration from the Georgia Institute of Technology.
The module starts with a general framework on how data can be used to improve decision-making. In doing, it uncovers the fundamentals biases that interfere with the decision-making process, and demonstrates how data can help us overcome them.
Then, we discuss the key areas of analytics: from descriptive to predictive to prescriptive and present different tools and case studies for each area. The module concludes with in-depth case studies from a number of companies that illustrate how those companies managed to overcome any implementation challenges and create tangible value from data science and analytics.
Meet the Instructor
Nektarios Oraiopoulos
Associate Professor at Cambridge Judge Business School
Nektarios Oraiopoulos, PhD, is the Director of the MPhil Programme in Strategy, Marketing, & Operations and an Associate Professor of Operations and Technology Management at the Cambridge Judge Business School of the University of Cambridge. His research on innovation and R&D management has appeared in the leading journals of the field. He has won multiple awards and has been invited to make presentations at both academic and industry conferences. In addition to his academic work, he has advised entrepreneurial start-ups and has worked closely on research projects with numerous executives from the biopharmaceutical industry. He holds a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece, and a PhD in Business Administration from the Georgia Institute of Technology.
Data science and analytics have transformed the way businesses operate and create value for their customers. This module is designed for participants who want to understand how data leads into actionable insights, and in turn, to better decisions. We cover a wide range of analytics tools and delve into the entire process of creating value from analytics: from identifying opportunities to analysing the right data to overcoming the implementation challenges. Participants will learn from case studies of leading companies how they managed to put analytics into practice. Those case studies will cover different industries (from high tech to hospitality) with a special emphasis on maritime and shipping.
Data science and analytics have transformed the way businesses operate and create value for their customers. This module is designed for participants who want to understand how data leads into actionable insights, and in turn, to better decisions. We cover a wide range of analytics tools and delve into the entire process of creating value from analytics: from identifying opportunities to analysing the right data to overcoming the implementation challenges. Participants will learn from case studies of leading companies how they managed to put analytics into practice. Those case studies will cover different industries (from high tech to hospitality) with a special emphasis on maritime and shipping.
At the end of the module the learner will be able to:
Demystify the key tools and frameworks of data science and business analytics
Utilise data and analytics to create new business opportunities and improve current operations
Develop a data strategy that provides consistency and alignment with your organisation’s strategic priorities
Identify and overcome any implementation barriers that prevent your organisation from realising value from data and analytics
Create a culture of learning and experimentation in the organisation that encourages its people to bring ideas forward
ASSESSMENT STRATEGY
Based on the Programme Specification, students are formally assessed through the submission of coursework. The forms of coursework depend on the characteristics of each module and may include the following types of assessments: case study, essay, report, dissertation, market analysis,project output, valuation, etc.
In addition each module incorporates multiple self-assessment tests. Self-assessment tests are not part of the formal assessment but completion is strongly encouraged as students will be able to monitor and evaluate their learning process and identify areas requiring improvement.
At the end of the module the learner will be able to:
Demystify the key tools and frameworks of data science and business analytics
Utilise data and analytics to create new business opportunities and improve current operations
Develop a data strategy that provides consistency and alignment with your organisation’s strategic priorities
Identify and overcome any implementation barriers that prevent your organisation from realising value from data and analytics
Create a culture of learning and experimentation in the organisation that encourages its people to bring ideas forward
ASSESSMENT STRATEGY
Based on the Programme Specification, students are formally assessed through the submission of coursework. The forms of coursework depend on the characteristics of each module and may include the following types of assessments: case study, essay, report, dissertation, market analysis,project output, valuation, etc.
In addition each module incorporates multiple self-assessment tests. Self-assessment tests are not part of the formal assessment but completion is strongly encouraged as students will be able to monitor and evaluate their learning process and identify areas requiring improvement.