Click here to start your application. Apply now

Foundations of Data Analysis for Business Course Descripton

10 Credits

Summary

What are the essential data analysis concepts underlying business analytics? This course covers basic principles and techniques of descriptive and predictive analytics. An understanding of how statistical tools can support decision making and analytics initiatives in a business context is emphasised with real-world examples and case studies. Software will be used for analysing data sets and creating visualisations.

Course aims

  • To train students in the theory and techniques of data analysis;
  • To train students in the use of statistical software.

For more details including learning outcomes please see here

This course is compulsory  the DMSB Programme towards postgraduate study in Business Analytics

Additional courses:

English for Business

This course is designed to enable you to develop and hone your proficiencies in business English across a range of contexts and situations. Indicative topics include general organisation vocabulary; methods of business communication; the vocabulary of production, management, and leadership; and the language of careers and job searches.

Global Culture and Communication

This course immerses you in the location in which you are studying and provides you with the wider knowledge and skills to communicate effectively in global professional environments. It explores cultural norms and expectations and trains you in the educated expression of opinions and arguments. Indicative topics include culture and interpersonal relations; language and society; professional and intercultural communication; and global public relations.

Quantitative Techniques for Graduate Study

The purpose of this course is to enable students to refresh and develop skills in quantitative analysis across both mathematics and statistics. The course is designed to serve students with previous background in mathematics and statistics, to provide opportunities to regain a routine for quantitative analysis, and to support students in progressing to graduate-level courses requiring a range of mathematical and statistical techniques.