Master of Data Science and Decisions

Program Overview

The Master of Data Science and Decisions program equips students with foundational knowledge in mathematics, statistics, computer science, and economics to analyze and interpret large and complex data. Students can specialize in computational, behavioral, business, or quantitative data science and decisions, preparing them for careers in information-rich industries such as internet search, fraud detection, and product development. The program culminates in research and communication skills development through project work.

Program Outline

Degree Overview:

• The Master of Data Science and Decisions explores methods for organizing, modeling, and analyzing large and complex data for businesses, governments, or other organizations.
• The program provides foundational knowledge in mathematics and statistics, computer science, and economics.
• Students can specialize in quantitative, computational, business, or behavioral data science and decisions.
• The program culminates in research and communication skills development through project work.

Outline:

• Core Courses:
• Database Systems
• Data Visualization
• Data Science and Decisions Project A
• Data Science and Decisions Project B
• Fundamentals of Data Science
• Business Economics
• Economics of Strategy
• Multivariate Analysis
• Statistical Inference
• Foundations of Computer Science or Principles of Programming
• Machine Learning and Data Mining or Data Mining and its Business Applications
• Specializations:
• Computational Data Science and Decisions:
Focuses on computational methods for manipulating, understanding, and predicting data.
• Behavioral Data Science and Decisions:
Emphasizes interpreting, understanding, and predicting data for business applications.
• Business Data Science and Decisions:
Explores methods for interpreting, understanding, and predicting data for business use.

Careers:

• Graduates can pursue roles in information-rich industries, including internet search, fraud detection, targeted advertising, logistics planning, speech recognition, image analysis, genetic risk prediction, virtual reality, customer loyalty, product development, and autonomous vehicles.
• Graduates can find employment in startups and established corporations across various sectors, including retail, environmental, not-for-profit, IT, and professional services.