SUBMIT

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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6 weeks, online
(excl. orientation) 

Weekly modules, flexible learning

8-10 hours per week (recommended)*
*8-10 hours of core learning 

Module 1: Introduction to classic and behavioural finance theory  

Module 2: Systematic trading and the state of the investment industry

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 5: Evaluation criteria for systematic models and funds

Module 6: Future trends in algorithmic trading

Module 1:    
Introduction to classic and behavioural finance theory

   

Module 2:    
Systematic trading and the state of the investment industry

  

Module 3:    
Technical analysis and methods for trading system design


Module 4:    
Building an algorithmic trading model


Module 5:     
Evaluation criteria for systematic models and funds

   

Module 6:     
Future trends in algorithmic trading

Module 3: Technical analysis and methods for trading system design

Module 4: Building an algorithmic trading model

Programme outline

Over the course of this online Algorithmic Trading Programme, you’ll work your way through the following modules:

FINTECH

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

INTERNET OF THINGS

Oxford Algorithmic Trading Programme

Delivered in collaboration with leaders in digital education, GetSmarter

You'll walk away with:

An understanding on how to formulate a view on the relationship between emerging technologies and the future of systematic trading.

The ability to assess the efficacy of an algorithmic trading model within a live environment or real-world market circumstance.

Validation of your skills and expertise in algorithmic trading in the form of a certificate of attendance from Saïd Business School, University of Oxford.

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Access to the official Oxford Executive Education Alumni group on LinkedIn.*

*This is an official Saïd Business School, University of Oxford alumni group for  online and executive programmes. Should you fail to successfully complete the group access will be revoked.

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This online programme from Oxford Saïd is delivered in collaboration with digital education provider, GetSmarter. Join over 50,000 participants globally who have already benefited 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 to meet weekly milestones

Enjoy a personalised, people-mediated online learning experience consistently achieves a 90%+ programme certification rate

Gain verifiable and relevant competencies and earn invaluable recognition from a top-tier university, entirely online and in your own time

GET PROSPECTUS
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