The world of data-driven decision-making is moving fast – and with our Master of Management Analytics, you can help to lead and drive change. If you're a recent graduate looking to be part of this exciting field, our innovative program will give you the advanced data management and communications skills you need.
Master the skills needed to succeed in the field of management analytics with our full-time program.
Management analytics involves developing a precise understanding of the factors influencing managerial decisions, and designing data and analytical solutions to support these decisions.
It encompasses the multiple skills needed to extract insights from real-world business data, including:
- Acquiring a deep understanding of the managerial problem
- Identifying the data sources and create analytical data sets
- Designing, validating and implementing analytical solutions
- Communicating your results effectively
During the program, the Management Analytics Practicum provides an opportunity to gain in-depth experience in each of these stages through exposure to a real-life managerial problem. The practicum runs throughout the MMA program, with certain periods during the program dedicated to an intensive focus on the particular problem. The courses are structured so that you initially focus on the tools and techniques before moving on to the application of analytics to management situations.
Once you graduate, you'll find a wide range of career opportunities available. High-level analytical skills are in high demand in a wide spectrum of managerial disciplines, including strategic consulting, finance, health care, life sciences, government, retail, marketing, web analytics, telecommunications and banking.
- AI and Deep Learning Techniques with Applications to Marketing
- Analytic Insights Using Accounting and Financial Data
- Analytics for Marketing Strategy
- Analytics in Management
- Big Data Analytics
- Data-based Management Decisions
- Modeling Tools and Predictive Analytics
- Optimizing Supply Chain Management and Logistics
- Structuring and Visualizing Data for Analytics
- Tools for Probabilistic Models and Prescriptive Analytics
Colloquium have included topics such as:
- Analytics for Fraud Detection and Money Laundering
- Ethical and Legal Issues in AI
- Hadoop for Data Science
- Probabilistic and Bayesian Networks
- Social Networks Representation
- The Basics of API Usage and Design
- Understanding Customer Relationship Management (CRM)