Part-time MSBA

The part-time MS in Business Analytics curriculum consists of foundational business courses, custom tailored to data science and analytics. This rigorous and fast-paced cohort-based graduate program has the flexibility of evening classes for working professionals. 

Course Descriptions

Students take 6-9 credits per semester and complete the program in three  years (45 credits total). Classes meet during the week in the evenings. New students begin the program each fall semester. 

Business and Management Fundamentals

MSBA 6250 Analytics for Competitive Advantage (1.5 credits)

Case- and discussion-based introduction to a variety of analytics-related issues and examples in business, including business value, impact, benefits and limitations, as well as ethical, legal, and privacy issues; use of case studies, examples, guest speakers.

MSBA 6120 Introduction to Statistics for Data Scientists (3 credits)

Concepts/principles of business statistics, data analysis, and presentation of results. Topics include exploratory data analysis, basic inferential procedures, statistical process control, time series/regression analysis, and analysis of variance. These methods are selected for their relevance to managerial decision making and problem solving.

MSBA 6345 Project Management of Analytics Projects (1.5 cr)

Project management of full-stack analytics projects:  identifying deliverables and a methodology; gathering requirements (use cases, user stories); estimating and staffing the project; monitoring project status (earned value and visual methods); team roles in an agile project.

MSBA 6355 Building and Managing Teams (1.5 cr)

Examine individual, group, and organizational aspects of team effectiveness; learn and practice basic skills central to team management; develop appreciation for  team leadership function; learn the tools for effective team decision making and conflict management; develop general diagnostic skills for assessment of team issues within and across organizations and national boundaries.

Two (2) Core Business Classes (6 credits)

Students are required to take a total of six credits of business core courses. The business core courses can be taken during any semester, based on availability and student’s schedule. Some courses may be completed during summer semester. Suitable courses include the following:

  • Business Ethics (2 credits)
  • Financial Accounting (3 credits)
  • Financial Management (3 credits)
  • Management and Organizational Behavior (2 credits)
  • Managerial Accounting (3 credits)
  • (Managerial) Economics (2 credits)
  • Marketing Management (3 credits)
  • Operations Management (3 credits)
  • Strategic Management (3 credits)
Technical Fundamentals

MSBA 6255 Fundamentals of Decision Analysis (1.5 credits)

Quantitative problem solving formulation and skills.

MSBA 6310 Programming and Application Development (3 credits)

Fundamentals of structured and object-oriented programming in various application environments, development of web-based and mobile applications, programming for statistical and scientific computation.

MSBA 6320 Data Management, Databases, and Data Warehousing (3 credits)

Fundamentals of database modeling and design, normalization; extract, transform, and load; data cubes and setting up a data warehouse; data pre-processing, quality, integration, and stewardship issues; advances in database and storage technologies.

MSBA 6330 Harvesting Big Data (3 credits)

Cloud computing and big data infrastructure; managing big-data, Hadoop, MapReduce; web crawling; data parsing; web data extraction using major application programming interfaces.

Advanced Analytics Courses and Capstone Project

MSBA 6410 Exploratory Data Analytics and Visualization (3 credits)

Fundamentals of data exploration; detecting relationships and patterns in data; cluster analysis, hierarchical and partition-based clustering techniques; rule induction from data; advances in multi-dimensional data visualization.

MSBA 6420 Predictive Analytics (3 credits)

Fundamentals of predictive modeling and data mining; assessing performance of predictive models; machine learning and statistical classification and prediction; logistic regression; decision trees, random forests; k- nearest neighbor techniques, naïve Bayesian classifiers, neural networks.

MSBA 6430 Advanced Issues in Business Analytics (3 credits)

Analysis of unstructured data, fundamentals of text mining, sentiment analysis; fundamentals of network analysis, mining digital media and social networks, peer effects and social contagion models; personalization technologies and recommender systems.

MSBA 6440 Data-Driven Experimentation and Measurement (3 credits)

Controlled experiments in business settings, experiment design, A/B testing; specialized statistical methodologies; fundamentals of econometrics, instrument variable regression, propensity score matching.

MSBA 6450 Modeling and Heuristics for Decision Making and Support (3 credits)

Fundamentals of decision analysis, optimization, linear and integer programming, risk analysis, heuristics, simulation, decision technologies.

MSBA 6490 Advanced Topics in MIS: Math Foundations for Business Analytics (3 credits)

This course is specific to the part-time MS in Business Analytics program, designed to provide a foundation and refresher for working professionals to succeed in the mathematically rigorous MSBA curriculum. The course has three primary components: discrete mathematics and probability review, calculus review, and matrix algebra review.

Capstone Project (3 credits)

Hands-on, integrative application of analytics methodologies, techniques, and tools learned throughout the program in the context of a specific analytics problem. Experience with the entire data analytics cycle, starting from business and data understanding as well as data cleaning and integration and ending with the development and presentation of results, interpretations, insights, and recommendations.

Learn More about the Capstone Project

Sample Course Schedule for Three-Year Study Plan

 Fall SemesterSpring Semester
Year 1

Analytics for Competitive Advantage (1.5 cr.)
Fundamentals of Decision Analysis (1.5 cr.)
Programming and Application Development (3 cr.)
Math Foundations for Business Analytics (3 cr.)


Introduction to Statistics for Data Scientists (3 cr.)
Data Management, Databases, and Data Warehousing (3 cr.)
* Possible Core Business Course (2 or 3 cr.)

Year 2

Exploratory Data Analytics and Visualization (3 cr.)
Harvesting Big Data (3 cr.)
Project Management of Analytics Projects (1.5 cr.)

Predictive Analytics (3 cr.)
Data-Driven Experimentation and Measurement (3 cr.)
* Possible Core Business Course (2 or 3 cr.)

Year 3

Advanced Issues in Business Analytics (3 cr.)
Modeling and Heuristics for Decision Making and Support (3 cr.)
Building and Managing Teams (1.5 cr.)

* Possible Core Business Course (2 or 3 cr.)​
Capstone Project in Analytics (3 cr.)