MBA Big Data & Business Analytics Programme

 

The MBA Big Data & Business Analytics is a part-time programme: 

  • Duration: 2 years
  • Courses: 2 evenings per week, 18:30 – 22:00 hours
  • Time requirements: 20 – 25 hours per week for preparation, case work and project
  • One week international field trip on Entrepreneurship and Innovation
  • Thesis Project: the application of Big Data in your own organization
     

The programme is intended for:

  1. Professionals with a quantitative background ( f.e.mathematics, physics, computer science, engineering, econometrics) who want to apply analytics in various areas of business and learn about new technologies such as artificial intelligence, infrastructures for large datasets, blockchain, and more.
  2. Professionals with a business background (business administration, economics, finance) or other academic degrees with extensive business experience who want to learn about analytics and new technologies.

Curriculum

The curriculum consists of three elements:

analytics, business & computer science

Curriculum 2018 - 2020

Aug 2018 Primer Statistics (online)
Sep - Oct 2018 Big Data Strategy & Implementation
Sep - Oct 2018 Statistics
Sep 2018 - May 2019 Amsterdam Leadership Programme
Nov - Dec 2018 Consumer Behaviour
Nov - Dec 2018 Econometrics
Jan 2019 Law & Ethics for Big Data
Jan 2019 Data Visualisation
Feb - Mar 2019 Big Data Infrastructures & Technology
Feb - Mar 2019 Operations & Supply Chain Management
Apr - May 2019 Financial Accounting
Apr - May 2019 System Optimisation
Jun 2019 Fintech: Blockchain and Cryptocurrencies (elective)
Jun 2019 Language Technology (elective)
Aug 2019 Primer Python (online)
Sep - Oct 2019 Valuation
Sep - Oct 2019 Corporate Strategy
Nov - Dec 2019 Data Stewardship
Nov - Dec 2019 Entrepreneurship
Jan 2020 International Study Trip
Feb - Mar 2020 Machine Learning
Feb - Mar 2020 Corporate Finance
Apr - May 2020 Quantitative Marketing
Apr - May 2020 Leading People Strategically
Jan - Aug 2020 MBA Big Data Thesis Project

 

 

* Please note that courses are subject to change.

Published by  Economics and Business

9 August 2018