The Master of Science in Business Analytics (MSBA) program at NDSU will provide you with the business analytics skills, tools, and methodologies you need to transform data into effective decision-making. Most MSBA courses are offered one evening a week in 8-week sessions. Other courses are offered online. The program requires 30 credits for completion. Students can enroll full-time to finish in one year, or they can enroll part-time and finish in two years.
High-touch, High-tech delivery
- Variety of classroom formats
- Hands-on training
- Cutting-edge analytics tools and methodologies
Relevant and In-Demand
- Designated as a STEM program
- Competitive tuition and unbeatable value
- Click for costs
- Partnering with Computer Science and Statistics programs to offer a wide range of courses
- Most courses offered one evening per week during eight-week sessions—or in online or hybrid formats
- Attend full-time to finish in one year, or part-time to finish in two years (30 total credits required)
- AACSB accreditation putting NDSU's College of Business in the top 5% of business schools in the world
The MSBA offers a variety of courses in data analysis, business analytics, advanced analytics, and an in-depth capstone experience.
MSBA Course Descriptions
|STAT 725||Applied Statistics (3 credits)|
|Data description, probability, inference on means, proportions, difference of means and proportions, categorical data, regression, analysis of variance, and multiple comparisons.|
Prereq: Knowledge of Algebra. This course is not intended for statistics or mathematics majors. Offered online and/or face-to-face—summer, fall, or spring.
|CSCI 765||Introduction to Database Systems (3 credits)|
|Basic database concepts, models, management facilities, data structures, storage structures, data definition languages, data manipulation languages, normalization, operator implementation algorithms, transactions, correctness, reliability, distribution, and performance analysis.|
Offered online and/or face-to-face—fall or spring.
|MBA 751||Business Analytics Concepts (2 credits)|
|This course covers important business data analytics concepts, including warehousing, OLAP, ETL, data mining, self-service business intelligence, and business reporting and visualization tools. It provides hands-on experience in the use of some popular data analytics software tools with a focus on aiding managerial decision-making across different business functional areas.|
Hybrid format, one evening a week for eight weeks.
|MBA 752||Business Analytics Strategy (2 credits)|
|Case-based discussion course examining how data analytics impact organizations today and issues related to the development of an overall business data analytics organizational strategy. Topics include business data analytics in organizations and the impact on business functional areas, strategic use of data and information, ethical issues related to data collection and usage, social and legal implications of pervasive digitization, and management of intellectual property.|
Offered one evening a week for eight weeks (beginning spring 2021).
|MBA 753||Business Analytics Methods (2 credits)|
|This managerially-oriented course covers the use of predictive analytic tools to generate predictive models such as logistic regression, decision trees, neural networks, and cluster analysis to generate deeper business insights in direct support of managerial decision making.|
Hybrid format, one evening a week for eight weeks.
|MBA 722||Marketing Analytics and Customer Intelligence (2 credits)|
This course takes a very hands-on approach with customer intelligence and equips students with the marketing science understanding and techniques they need to solve real-world marketing challenges. Thsi course uses a combination of lectures, cases, and exercises to teach the materials.
|MBA 723||Digital Marketing (2 credits)|
|This course focuses on understanding, managing, and analyzing an organization's digital marketing strategy. Topics related to online business models, search engine optimization, paid search and display advertising, web analytics, email marketing, social media marketing, and reputation management will be considered.|
Offered online, one evening a week for eight weeks.
|MIS 720||Visualization and Reporting (2 credits)|
|Provides advanced usage of quantitative analysis using spreadsheets, in-memory database, and development of effective dashboards. Emphasis is on the application of theoretical understanding of the human interaction with the user interface to facilitate communication and story-telling using data. Effectively communicating analysis results to a mangement and business audience using dashboards and reports to enhance decision-making is examined.|
Offered one evening a week for eight weeks.
|MIS 740||Advanced Business Analytics Methods (2 credits) (first offered Spring 2021)|
|This course develops an understanding of practical applicability of advanced analytics methods in a variety of business scenarios. The course is designed to provide hands-on opportunities for students to work with data and apply advanced business analytics techniques and machine learning, which include text mining, natural language processing, web analytics, social analytics, and simulation.|
Hybrid, offered evenings for eight weeks, beginning spring 2021
Prereq: MBA 735–Business Analytics Methods.
|MIS 790||Seminar in Business Analytics|
|Seminar course that examines current topics related to business analytics and how organizations can make use of data for decision-making.|
Offered one evening a week for eight weeks beginning spring 2021.
|MIS 795||Capstone Project I, II, and III|
|Project course where students apply their learning to a real-world problem domain resulting in solutions to solve organizational problems using data and advanced analytics methods. Emphasis is on real-world relevance and integration of multiple aspects of data analytics to meet users' needs. Three-course sequence must be taken in succession in final year of the MSBA program.|
|Capstone Project I (1 credit)|
|The introductory capstone project course focuses on the data architecture of the client and descriptive analytics that meets the organizational reporting needs.|
|Capstone Project II (2 credits)|
|This intermediate capstone project course focuses on the organization's predictive and prescriptive analytics needs and a company-specific deliverable to solve a problem the organization currently faces.|
|Capstone Project III (2 credits)|
|This advanced capstone project course focuses on marketing analytics solutions for the organization, their potential business analytics strategy and a plan for digital transformation, and a company-specific deliverable to solve a problem the organization currently faces.|
Take one elective (3 credits) as approved by MSBA program advisor.
Fred Riggins, PhD
|Director||| Center for Enterprise Business Analytics (CEBA)|
|Program Director||| Master of Science in Business Analytics (MSBA)|
|Professor||| Management Information Systems|
Department of Accounting and Information Systems
|Richard H. Barry Hall 208|