Business Analytics (MS)

The Master of Science in Business Analytics (MSBA) is a one-year intensive program targeting recent college graduates and working professionals who are interested in acquiring skills in business analytics. The goal of the MSBA is to develop graduates who can perform relevant data analysis and transform analytical results into actionable business insights.

Students enrolled in this one-year ‘hybrid’ program will learn to use quantitative data analytics tools (including Python, R, SAS, and Tableau) to transform complex data into actionable business decisions and communicate the results effectively. Graduates will be prepared for careers such as data analyst, data scientist, business analyst, financial analyst, marketing analyst, operations analyst, supply chain analyst, forensic analyst, gap analyst, and program/product management.

The MSBA is suited for recent college graduates with a strong quantitative background, as well as business professionals who want to change careers and working professionals who are interested in developing their skills data in analytics.

The MSBA is a 12-month program that consists of twelve 3-units courses including a practicum for a total of 36 units. Students take two courses per term, which is a seven-week (two-month) period.

Graduate degree candidates must maintain a grade point average (GPA) of 3.0 ('B') or higher in the graduate program and may have only two final grades of 'C' in their coursework at the time of graduation. Any grade below 'C" (2.0) will not satisfy the graduation requirement for a graduate degree. Students may repeat courses in which they received a grade of 'C' or below. If a student repeats a course in which they received a grade of 'C' or below, the most recently earned letter grade will determine whether a degree requirement has been met. All the letter grades for all the registered courses during the graduate program will be listed on the transcript.

Program Learning Outcomes

Graduates of this program will be able to:

  1. Use quantitative data analysis and cutting-edge analytics tools such as Python, R, SAS, and Tableau to transform data into business insights.
  2. Devise actionable business decisions by using sophisticated business analytics techniques such as optimization and machine learning.
  3. Employ data visualization to communicate complex data effectively.
  4. Identify potential ethical issues related to data analytics and formulate appropriate business solutions.

Required Courses:

MSBA 5500HY: Applied Data Analysis

3.00 units

MSBA 5501HY: Programming for Data Analytics

3.00 units

MSBA 5502HY: Data Visualization and Storytelling

3.00 units

MSBA 5503HY: Data Management for Business Analytics

3.00 units

MSBA 5504HY: Advanced Data Analysis

3.00 units

MSBA 5505HY: Machine Learning for Business

3.00 units

MSBA 5506HY: Cloud Computing

3.00 units

MSBA 5507HY: Data Security, Ethics, & Risk Management

3.00 units

MSBA 5508HY: Marketing Analytics

3.00 units

MSBA 5509HY: Optimization for Business Analytics

3.00 units

MSBA 5510HY: Business Analytics Practicum

3.00 units

MSBA 5511HY: Finance Analytics

3.00 units

Total Credit Hours: 36