The World Bank has identified a global jobs crisis, predicting the need for 600 million new jobs in the next 15 years in an effort to end extreme poverty and boost shared prosperity. Small businesses hold the key to creating these jobs, but many have insufficient access to credit when seeking to grow their business - a financing gap that is estimated by the IFC to be as much as £2 trillion.
 
The new ‘Oxford Fintech online short course’ will create a future wave of enterprises to bridge the financing gap and provide new opportunities for job creation.

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Data Science Essentials

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FINTECH

Register and pay before 12 December 2016, using the promocode EarlyBirdBSM,
to save £200

INTERNET OF THINGS

Online Short Course

6 weeks, excluding orientation

Weekly modules, flexible learning

8-10 hours per week, entirely online

The ability to design and implement a data science project for your organization with a focus on real-world application.

An understanding of how to use data analytics to solve business challenges.

A certificate from the UC Berkeley School of Information.

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Upon Completion of this Course, You’ll Have:

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Harness the power of data science to transform your business. 
No coding experience required. 

Module 1:
Principles of data science

Module 2:
Data science processes, impact, and functions

WHAT YOU WILL LEARN

Module 1:  
Leadership and Influence

Module 2:  
Corporate Strategy

Module 3:  
Politics and the Global Economy

Module 4: 
Economics for Managers 

Module 5: 
An Introduction to Financial Accounting

Module 6: 
Marketing Principles and Practices

Module 7: 
Operations Management

Module 8: 
Corporate Accountability: 
Sustainable Business Practises

Module 9: 
Business Analytics for Managers

Module 10: 
Disruptive Innovation

 

The Ongoing Project: Using your business context as a case study

ECONOMICS FOR MANAGERS

Module 1:  Introduction to economic theory

Module 2:  Microeconomic variables and their effect on business

Module 3:  Macroeconomics: employment rates, economic development and output

Module 4: Macroeconomics: inflation, foreign exchange and the government policy;


MANAGERIAL STATISTICS

Module 5:  The time value of money (TVM)

Module 6:  Statistics for business

Module 7:  Probability theory

Module 8: Statistical analysis and interpretation

Module 9: Making informed business decisions


MANAGERIAL ACCOUNTING

Module 10:  Financial statements and accounting

Module 11:  Profit and financial analysis

Module 12:  Assets, liabilities and equity

Module 13: Cost analysis

Module 14: Budgeting and cashflow management

ECONOMICS FOR MANAGERS

Module 1:  Introduction to economic theory

Module 2:  Microeconomic variables and their effect on business

Module 3:  Macroeconomics: employment rates, economic development and output

Module 4: Macroeconomics: inflation, foreign exchange and the government policy;


MANAGERIAL STATISTICS

Module 5:  The time value of money (TVM)

Module 6:  Statistics for business

Module 7:  Probability theory

Module 8: Statistical analysis and interpretation

Module 9: Making informed business decisions


MANAGERIAL ACCOUNTING

Module 10:  Financial statements and accounting

Module 11:  Profit and financial analysis

Module 12:  Assets, liabilities and equity

Module 13: Cost analysis

Module 14: Budgeting and cashflow management

Module 1:
Principles of data science 


Module 2:
Data science processes, impact, and functions


Module 3:
Modern applications of data science


Module 4:
Building a data science team


Module 5:
Measuring the success of data science projects


Module 6:
Digital transformation strategies

Module 5:
Measuring the success of data science projects

Module 6:

Digital transformation strategies


Course Curriculum 

Module 3:
Modern applications of data science

Module 4:

Building a data science team

This UC Berkeley School of Information online short course is delivered in collaboration with online education provider, GetSmarter. Join a growing community of global professionals and benefit from the opportunity to:

An Online Education That Sets You Apart

Experience a flexible but structured approach to online education as you plan your learning around your life

Enjoy a personalized online learning environment created to make you feel supported at every step

 Gain relevant skills and experience from a team of faculty and industry experts as you learn online

Your Faculty Director

NELSON REPENNING

Ed Fine is an experienced data scientist developing cutting edge technical solutions to data intensive problems. He specializes in developing creative, actionable, and analytical insights in results-driven environments, some of which include fintech, retail and search. Using statistical and machine learning methods, Fine’s work focuses on producing reasoned solution tailored to the problem and the industry. A large part of his career centers around communicating challenging technical concepts to a broad audience from engineers and software architects to clients and the broader public. 

Ed Fine is an experienced data scientist developing cutting edge technical solutions to data intensive problems. He specializes in developing creative, actionable, and analytical insights in results-driven environments, some of which include fintech, retail and search. Using statistical and machine learning methods, Fine’s work focuses on producing reasoned solution tailored to the problem and the industry. A large part of his career centers around communicating challenging technical concepts to a broad audience from engineers and software architects to clients and the broader public. 

Distinguished Professor of System Dynamics and Organization Studies  

Faculty Director, Data Scientist and Consultant

Edward Fine

Edward Fine

Faculty Director, Data Scientist 
and Consultant

A certificate from the UC Berkeley School of Information.