Master of Science in Business Analytics Online

Prepare to interpret and apply business analytics to succeed in today’s data-driven marketplace. This STEM-designated online master’s program focuses on business strategy supported by best practices in AI and Big Data.

Apply By: 8/4/26
Start Class: 8/17/26
Apply Now

Program Overview

Learn to extract actionable insights in this business analytics master’s online program

Emerge as a transformative, tech-enabled business leader with the Master of Science in Business Analytics online program from Florida Institute of Technology. This STEM-designated MSBA online program goes far beyond mastery of technical skills—it gives you a solid foundation in AI and data analytic strategies to make critical decisions and shape business initiatives. You will explore machine learning and deep learning techniques applied to real-world business issues, such as customer segmentation, demand forecasting, fraud and anomaly detection, model evaluation and more.

Focused on experiential learning, this highly valued business analytics master’s program culminates in a group capstone project, where you will design and execute an end-to-end analytics or AI deployment for a real organization.

As a graduate of this program, you will be prepared to:

  • Demonstrate an understanding of data preparation and visualization, feature engineering, model evaluation and interpretation
  • Identify and implement analytics insights, supported by critical-thinking skills, to inform business decisions
  • Communicate analytics results effectively to a wide range of stakeholders, including those in non-technical roles
  • Drive value and innovation throughout the organization, applying analytics insights to diverse departments, such as operations, finance, marketing and technology
  • Responsibly deploy analytics in real organizational contexts, using knowledge of ethical AI, bias detection and governance
  • Demonstrate an understanding of data preparation and visualization, feature engineering, model evaluation and interpretation
  • Identify and implement analytics insights, supported by critical-thinking skills, to inform business decisions
  • Communicate analytics results effectively to a wide range of stakeholders, including those in non-technical roles
  • Drive value and innovation throughout the organization, applying analytics insights to diverse departments, such as operations, finance, marketing and technology
  • Responsibly deploy analytics in real organizational contexts, using knowledge of ethical AI, bias detection and governance

Potential job opportunities with a master’s in business analytics include:

  • Data scientist
  • Management analyst
  • Analytics consultant
  • Business intelligence manager
  • Operations research analyst
  • Data scientist
  • Management analyst
  • Analytics consultant
  • Business intelligence manager
  • Operations research analyst

Also available:

At Florida Tech, we offer a variety of in-demand online programs that prepare you with relevant skills for your career of choice. Take a look at our other business programs.

At Florida Tech, we offer a variety of in-demand online programs that prepare you with relevant skills for your career of choice. Take a look at our other business programs.

Total Tuition $22,116.90*
Duration As few as 12 months
Credit Hours 30
Apply Now

Need More Information?

Call 833-591-1092 today!

Call 833-591-1092 today!

Tuition

Earn a high-quality master’s at an affordable price

Tuition for the M.S. in business analytics is affordable. Take advantage of our pay-by-the-course system, so you can manage your budget as you pursue your degree. Technology fees are included in the total tuition.

Tuition breakdown:

Total Tuition $22,116.90*
Per Credit Hour $737.23

Calendar

Our flexible calendar accommodates your busy lifestyle

The M.S. in business analytics online program is ideal for working students. Choose from multiple start dates and complete your degree at the pace that best fits your schedule.

TermStart DateApp DeadlineDocument DeadlineRegistration DeadlineTuition DeadlineClass End DateTerm Length
Fall 1 20268/17/268/4/268/4/268/12/268/14/2610/11/268 weeks
Fall 2 202610/19/2610/6/2610/6/2610/14/2610/16/2612/13/26

Now enrolling:

Next Apply Date 8/4/26
Start Class 8/17/26

Ready to take the next steps toward earning your degree?

Apply Now

Admissions

Get ready to apply to the M.S. in business analytics program

At Florida Tech, we’ve streamlined the admission process to help you get started quickly. Please read the requirements for the M.S. in business analytics program.


  • Application for admission
  • Earned bachelor's degree from an accredited college or university
  • Official transcripts from all colleges and universities
  • Current résumé
  • Undergraduate cumulative GPA of 3.0 on 4.0 scale

Official transcripts, test scores and other documents should be sent to:

Mail address:
Office of Admission
150 W. University Blvd.
Melbourne, FL 32901



Admission Requirements

  • No application fee
  • No GMAT/GRE
  • GPA of 3.0 or above

Courses

Explore the topics covered in your business analytics courses

For the M.S. in business analytics online, the curriculum comprises 30 business analytics course credit hours.

Students in this program can take BUS 5411 - Statistical Methods for Business OR MGT 5006 - Introductory Mangerial Statistics OR ORP 5002 - Stochastic Operations Research Models to fulfill statistics requirement 

The capstone for this program should be the last course or taken within the last 12 hours if scheduling does not permit it as the last class. The capstone for this program is BUS 5633.   

Duration: 8 Weeks weeks
Credit Hours: 3
Students learn to apply statistical methods to compare, examine and estimate the outcome of various management options. Includes statistical estimation, hypothesis testing, regression analysis, ANOVA, correlation analysis, sampling, time-series, decision theory and use of SPSS.
Duration: 8 Weeks weeks
Credit Hours: 3
Studies methods of collecting, analyzing and interpreting data for managerial decision making. Includes data presentation, measures of central tendency, dispersion and skewness; discrete and continuous probability distributions; sampling methods and sampling distributions; and confidence interval estimation of parameters and tests of hypotheses.
Duration: 8 Weeks weeks
Credit Hours: 3
An applied treatment of modeling, analysis and solution of probabilistic operations research problems. Topics chosen from decision analysis, game theory, inventory models, Markov chains, queuing theory, simulation, forecasting models.
Duration: 8 Weeks weeks
Credit Hours: 3
Introduces data analytics and business intelligence. Provides insight into tools used to analyze complex business and accounting problems to find rational solutions. Includes cases of increasing complexity that emphasize problem description, definition and formulation. Emphasizes interpretation and implementation of results and practice.
Duration: 8 Weeks weeks
Credit Hours: 3
Explores principles and techniques in data visualization to support strategic business decisions. Allows students to engage in hands-on projects using analytical methods, visualization tools and programming to build dynamic, data-driven dashboards and reports. Emphasizes analyzing large datasets and translating complex data into clear, actionable insights for a variety of business contexts and stakeholders.
Duration: 8 Weeks weeks
Credit Hours: 3
Addresses policy and management issues surrounding information systems in today’s enterprises: strategic use, organizational impact, project management, human resource issues and other topics germane to understanding management information systems.
Duration: 8 Weeks weeks
Credit Hours: 3
Introduces basic concepts of database management. Examines database systems from organization and management perspectives. Includes concepts, tools and techniques used to design, implement and use a database system. Also includes database architecture, conceptual and relational data models, structured query language (SQL), administration, concurrent processing, and data warehousing and mining.
Duration: 8 Weeks weeks
Credit Hours: 3
Duration: 8 Weeks weeks
Credit Hours: 3
Duration: 8 Weeks weeks
Credit Hours: 3

Choose 2 Elective Courses:

Duration: 8 Weeks weeks
Credit Hours: 3
Introduces the basic concepts of information technology and innovation from a strategic management perspective. Covers strategic management of high technology companies, emerging technologies in a global marketplace, and aligning product development and system design. Identifies the creation of new products and services, and how new ventures are exploited.
Duration: 8 Weeks weeks
Credit Hours: 3
Includes OR methodology, how an OR analyst interacts with clients, and preparation and presentation of oral reports. Students form teams to analyze real cases where each student gets an opportunity to be a team leader and present oral reports.
Duration: 8 Weeks weeks
Credit Hours: 3
Critically examines the impact of technology on the legal system and social organization, origin and methodology of the common law. Provides a framework for analyzing social change caused by advancing technology. Analyzes legal concepts from the standpoint of societal reaction to technology. Uses the case study method.
Duration: 8 Weeks weeks
Credit Hours: 3
Covers theory, development and impacts of national and international policy on information technology (IT). Explores how frequent shifts in public policy require IT businesses to adjust rapidly to adhere to regulations. Requires development of sophisticated strategies including new technologies, global transfer and analysis to be able to adapt to the changing environment.
Duration: 8 Weeks weeks
Credit Hours: 3
Expands on basic knowledge of managing database systems to support today’s complex systems. Includes query processing and optimization strategies, security and privacy issues, data analytics and decision support, and emerging technologies in a global environment.
Duration: 8 Weeks weeks
Credit Hours: 3
Expands on basic knowledge of database administration in today’s complex systems. Covers basic concepts, processes and procedures associated with administering a database system. Provides an overview of managing, configuring and maintaining such systems (assigning roles and responsibilities, backup and recover, security, performance).
Duration: 8 Weeks weeks
Credit Hours: 3
Studies database systems as an essential organization resource. Includes data architecture components and data storage configurations, and compares normalized and denormalized methods. Covers relational databases and the use of SQL for information retrieval. Also covers object databases.
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