
Earn Your MBA With a Business Analytics Concentration
100% Online Program
The MBA concentration in Business Analytics empowers students to transform data into actionable business strategies. This program emphasizes technical literacy, strategic decision-making, and effective communication of insights, preparing leaders to drive innovation and data-informed cultures across industries.
Why is NDNU partnering with Rize for the Business Analytics Concentration?
Flexible and practical: This program is a flexible three-to-four-course online asynchronous concentration emphasizing real-world, practical applications of business analytics through a data lens—and the skills to communicate them effectively. Through hands-on assignments and presentations that double as portfolio work, students won’t just learn technical skills—they’ll learn a strategic manager’s mindset, enabling them to lead with confidence in data-driven decision-making in the classroom and beyond.
Introduction to powerful, contextualized technical skills: Business analysts will almost always have some role in translating technical information. It is therefore important that students develop literacy around ‘hard’ analytical tools like those used for data querying, visualization, and modeling. Rize’s Business Analytics specialization allows students to graduate with the ability to meaningfully discuss and apply these tools.
Focus on using analytics for strategy: Each course uses case studies where students learn to find the data or analytical framework to meet and anticipate client needs. (When a CEO says she wants X and Y, what separates a good business analyst from a great one is predicting she’ll need Z as well.)
Interdisciplinary and cutting-edge: Just like today’s jobs, our program is interdisciplinary and touches AI and machine learning, so that our graduates are prepared to pivot as technologies and companies adapt. After graduation, students will be prepared to meet the demand for data-driven business analytics expertise in almost every industry.
For more information regarding the NDNU Rize partnership Click Here
Why Business Analytics?
Whether it’s identifying market trends, optimizing operational processes, or personalizing customer experiences, at its core, business analytics is all about extracting actionable insights from data—and communicating it to others—to help businesses stay ahead. Companies that champion data-driven insights in business are 77% more likely to have significantly exceeded their business goals. And businesses are prepared to pay very well for those gains: entry-level management analyst positions start at $115,523.20 [Lightcast.io].
However, many professionals are not comfortable accessing or using data. In a recent survey of Fortune 1000 CIOs and data executives, about 6 in 10 leaders acknowledged that they haven’t been able to establish a data- and analytics-driven culture. When data analytics falter, innovation falters. MBA students will come away from this program with not only the skills to analyze data, but the ability to help drive that cultural shift, ensuring that organizations understand what they want their data to do.
Studying business analytics opens doors to virtually any industry, offering a ton of flexibility and the excitement of applying your skills everywhere from finance and IT to start-ups and hospitals. Business analytics professionals thrive on the diversity of problem-solving opportunities across an organization, from sales and finance to warehouse management.
Business analysts get the chance to work closely with business leaders and top decision-makers and develop a deep understanding of the purpose and significance behind every project. If you enjoy problem-solving, deconstructing complex processes, and discovering opportunities for improvement, you just might have the perfect aptitude for business analytics—a lucrative and powerful field that’s the perfect complement to any MBA.

Program Mission Statements
Transform Data, Transform Business: Every data point tells a story. Through our MBA in Business Analytics, you’ll develop the vision and skills to turn raw information into strategic insights that drive organizational success.
Shape Tomorrow’s Businesses Today: Our program goes beyond the numbers. Data is the key to understanding market dynamics, customer behavior, and competitive landscapes. You’ll learn to decode complex information and make decisions that give your organization a competitive edge.
Bridge Technology and Business Strategy: In today’s digital world, successful leaders can seamlessly integrate technological tools with strategic thinking. You’ll master using advanced analytics to solve real-world business challenges.
Lead with Purpose: Business analytics isn’t just about collecting data — it’s about telling compelling stories that drive action. You’ll develop the skills to translate complex datasets into clear, impactful strategies that guide executive decision-making.
Admissions Information
To be admitted into the MBA program, students need to meet the following requirements:
- A four-year bachelor’s degree or the equivalent from a regionally accredited institution
- A cumulative grade point average of 2.5 or better
- Two academic and/or professional recommendations
- One or more courses in each of the foundation areas of accounting, economics, statistics, and math.
International students should also refer to the general graduate admission requirements.
Program Learning Outcomes
- Create data queries and visualizations using industry-standard tools to analyze complex datasets.
- Develop and communicate data-driven strategies to achieve organizational goals.
- Demonstrate proficiency in Python data analysis techniques to support decision-making and drive business insights.
- Communicate business analytics concepts and solutions to diverse stakeholders.
- Assess career opportunities and key sectors relevant to business analytics.
- Manage the complete lifecycle of machine learning projects, ensuring successful implementation and alignment with business objectives.
Key Skills You'll Gain:
- Data Storytelling
- Turn numbers into compelling insights
- Predictive Analytics
- Forecast trends with spreadsheet modeling
- AI in Business
- Leverage machine learning for growth
- Python for Business
- Automate and analyze data
The Role of a Business Analyst:
- Identify Market Trends
- Anticipate changes and capitalize on opportunities
- Optimize Business Operations
- Improve efficiency and reduce costs
- Personalized Experiences
- Leverage data for targeting customer engagement
- Bridge Communication Gaps
- Make complex data accessible to key stakeholders
Rize Concentration (3 Units / 8-Week Courses)
BUS 4330 – Storytelling with Data
- Students create data visualizations and narratives, effectively communicate complex insights to diverse audiences, and drive business decisions through data storytelling.
BUS 4333 – Spreadsheet Modeling for Decision-making
- Students use spreadsheet modeling to analyze complex datasets, create financial forecasts, and effectively communicate insights to support data-driven decision-making in business contexts.
BUS 4334 Python for Business Analytics
- Students transition from Excel to Python for business data analysis and workflow optimization. Prepares students with little or no prior programming experience with key foundational analytics operations in Python.
BUS 4660 Managing AI Projects
- This course equips students with the skills to manage AI projects comprehensively, emphasizing bias mitigation, ethical considerations, model accuracy, and continuous monitoring to ensure responsible and effective business outcomes.
Course Highlights
Storytelling with Data: Learn to create compelling data visualizations and narratives that communicate complex insights to diverse audiences, transforming raw numbers into strategic stories.
Spreadsheet Modeling for Decision-Making: Master advanced spreadsheet techniques to analyze complex datasets, create financial forecasts, and support data-driven business decisions.
Python for Business Analytics: Develop programming skills to analyze and optimize business workflows, transitioning from essential spreadsheet tools to more advanced analytical techniques.
AI Project Management: Learn to manage AI projects comprehensively, addressing ethical considerations, mitigating bias, and ensuring responsible technological implementation.

Subject Matter Expert
Dr. Michael Parzen is a Senior Lecturer at Harvard Business School, where he teaches Applied Business Analytics. With a strong background as an applied statistician, he has held academic positions at the University of Chicago’s Booth School of Business and Emory University’s Goizueta Business School. He also served as Co-Director of Undergraduate Studies and Director of the Master’s Program in Statistics at Harvard University and co-designed the Foundations of Quantitative Analysis course for the Harvard Business Analytics Program. Coincidentally, he taught many of Rize’s Harvard alumni in his undergraduate statistics classes. His research focuses on statistical education and methods for handling Missing Data and Non-Standard Regression Modeling, with publications in prestigious journals like Biometrika. He holds advanced degrees in Mathematics and Applied Mathematics from Carnegie Mellon and Brown Universities, respectively, and a Sc.D. in Biostatistics from the Harvard School of Public Health. He also has extensive consulting experience with major corporations and data analytics startups.

Business Analytics Concentration FAQ’s
In addition to its exceptional development team:
Online-First: We built this program to ensure that its online classes are not merely recreating the in-person experience but genuinely leverage the strengths of online learning to deliver more value. Students will enjoy the flexibility of remote coursework and engage with students at other leading institutions, bolstering their professional networks for the future.
Comprehensive Skill-Building: This MBA specialization addresses the complexity of modern business analytics, blending data visualization, statistical modeling, Python programming, and AI project management. Courses like “Storytelling with Data” and “Managing AI Projects” equip students to lead with both technical expertise and strategic business acumen.
Built for Executive-Level Leadership: This program creates well-rounded analytics leaders who balance technical implementation with strategic vision. It bridges the gap between data science and business strategy, preparing graduates to drive innovation while ensuring their analytics initiatives align with organizational goals. Students learn not just how to analyze data but how to communicate insights that motivate action across all levels of an organization.
Business and Marketing Managers
Why: To elevate their decision-making with data analytics, moving beyond gut instinct to lead data-driven strategies and transformations.
Example: A marketing manager who wants to advance to Director of Marketing Analytics or Chief Marketing Officer.
Finance and Operations Professionals
Why: To enhance their analytical capabilities and lead more sophisticated data-driven planning and optimization initiatives.
Example: A financial analyst aiming to become Head of Financial Planning & Analytics or Chief Financial Officer.
Software Developers and IT Professionals
Why: To advance their careers, deepen their knowledge, and update their skills in healthcare management and policy.
Example: A hospital administrator seeking to move into a higher executive role, such as a hospital CEO or COO.
Data Analysts and Business Intelligence Professionals
Why: To move beyond technical analysis into strategic leadership positions where they can drive organizational change.
Example: A data analyst seeking to become Director of Analytics or Chief Data Officer.
Industry Professionals Transitioning into Analytics
Traditional Business Roles
Why: To pivot into the high-growth field of business analytics while leveraging their existing industry expertise.
Example: A retail buyer interested in becoming a Retail Analytics Manager or Customer Intelligence Director.
Consultants and Project Managers
Why: To add advanced analytics capabilities to their consulting toolkit and lead data transformation projects.
Example: A management consultant looking to specialize in data strategy and digital transformation consulting.
Recent Graduates
Business and Economics Graduates
Why: To build upon their foundational business knowledge with advanced analytics skills highly valued by employers.
Example: A recent business graduate seeking to specialize in the high-growth field of business analytics.
This program offers valuable skills that extend beyond business analytics. Data-driven decision-making and strategic planning can enhance performance across marketing, finance, operations, and entrepreneurship. While those pursuing purely creative or qualitative roles may want to carefully consider the time investment, basic data literacy is becoming increasingly valuable in nearly every industry.
Career Opportunities In Business Analytics
State Authorization for Online Programs
The Department of Education requires that institutions offering online or distance learning programs outside of their home states must seek authorization to operate from regulatory bodies in those states. Each state has a different set of requirements when it comes to allowing out-of-state colleges and universities to offer online degree programs to its residents.