Online Master of Science in Business Analytics Curriculum
The Online MSBA program from Seattle University is designed to prepare you for the realities of messy data sets and unclear business obstacles. Develop key quantitative skills, including R and Python programming, Apache Hadoop and Spark, SQL, and more. At Albers, we know that your success in business analytics requires that you hone your communication and leadership skills alongside your technical capabilities. The Online MSBA will challenge you to master written, oral, and visual communication so that upon completing the program, you will emerge as an ethical and adaptive leader of business analytics, able to translate data into decisive action.
Data Translation Challenges
Each Online MSBA course incorporates one or more Data Translation Challenges designed to help you develop a methodological approach to data analysis geared toward its eventual presentation to a diverse business audience.
In each of these assignments, you will follow a three-step approach for analyzing and understanding complex data and synthesizing that data to develop informed business strategies:
- Consider a business problem derived from real-world data sets and scenarios
- Analyze the data using computational tools
- Communicate your findings and recommendations via written, oral, and/or visual methods
While Data Translation Challenges may vary in size and significance to your grade from class to class, each one is designed to model the business challenges you will likely face in an analytical role and help you grow into a data-fluent, multifaceted professional who can overcome them.
Online R and Python Programming Prep Course
All new students in the Online MSBA program are required to complete a prep course in the R and Python programming languages prior to the beginning of their first term. This six-hour course will be offered online and may be completed before or during your New Online Student Orientation.
Designed for those with or without coding experience, the course helps students develop the beginner skills and experience needed so they are fully prepared for their MSBA coursework. During the prep course, students will:
- Install Python and R on their machines
- Familiarize themselves with basic syntax
- Learn basic programming in Python and R
OMSBA 5112 Statistics for Business Analytics (3 credits)
OMSBA 5061 Programming I for Business (3 credits)
OMSBA 5280 Law and Ethics for Business Analytics (3 credits)
OMSBA 5210 Data Wrangling, Visualization, and Communication (3 credits)
OMSBA 5062 Programming II for Business (3 credits)
OMSBA 5305 Economics and Business Forecasting (3 credits)
OMSBA 5240 Enhancing Stakeholder Relationships in the Age of Analytics (3 credits)
OMSBA 5270 Analytics for Financial Decisions and Market Insights (3 credits)
OMSBA 5315 Big Data Analytics (3 credits)
OMSBA 5145 Database Management (6 credits)
The first half of the course is focused on the relational model and SQL queries, using Microsoft SQL Server for practice and assignments.
The second half of the course dives into the data management concepts of MongoDB and Hadoop, respectively, and provides an opportunity for students to query data structures that are distinctly different from the traditional SQL relational databases.
OMSBA 5300 Applied Econometrics (3 credits)
OMSBA 5068 Artificial Intelligence for Business (3 credits)
OMSBA 5067 Machine Learning (6 credits)
Prerequisite: C or better in OMSBA 5061 (Programming I) and OMSBA 5112 (Applied Statistics)