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Master's Degree

MS in Business Analytics
Online Master's Degree Program

Program Length

12 Mo.

Credits

34

Format

Online

Virtual Experience

Interactive
calendar

NEXT START May 5th

Waived Enrollment Fee

Reach new career heights with a master’s in business analytics

Format100% online coursework with accessible faculty and a community of supportive online students
Hands-onInteractive learning modules provide training with real analytics tools and software; you can elect an internship or practicum experience1
CurriculumCourse topics include artificial intelligence, text analytics and natural language processing, machine learning, data management, data visualization, and much morecourses you can take when it’s best for you
MBA pathwayYou may also choose an MBA in Business Analytics for a business-focused curriculum emphasizing introductory topics in business analytics
AccreditationAccredited by the Higher Learning Commission
CertificationPreparation for industry certification from the Project Management Institute (PMI®) and International Institute of Business Analysis (IIBA®)

Learn More Today!

Classes start: May 5th
Satisfaction rate

Over 90%

Satisfaction rate

Our overall student satisfaction rate, according to the 2023 Herzing Graduate Survey.

Discover an online educational pathway to becoming a data-driven business professional

Current bachelor’s degree holders can significantly expand their knowledge and skillset by completing a master’s degree program in business analytics. Our Master of Science curriculum emphasizes subject matter crucial to key industry certifications to prove to potential employers you have what it takes to succeed.

Earning a master’s degree can help you further develop the skills required to excel in senior-level and leadership roles as a business analyst. Climb the ladder and find greater success in your work with Herzing University.

Herzing graduate receiving his diploma from University President.
  • Career-focused curriculum

    Discover the crucial knowledge and skills required to succeed in your work and build a foundation for continued career growth.

  • Flexible schedule

    We work hard to help you maintain school-life balance, striving to be as flexible as possible for busy non-traditional students.

  • Virtual services

    Access to extensive virtual services, including academic advising, tutoring, support services, technical support and library services.

  • Lifelong support

    We support your ongoing career advancement by providing comprehensive, personalized student services with lifelong career coaching.

  • Rolling admissions

    No application deadlines to worry about. Apply when you’re ready and prepare to get started soon.

Curriculum 

Master of Science in Business Analytics classes & curriculum details

All courses in the Master of Science in Business Analytics program are delivered online through the Herzing University Canvas Learning Management System platform.

In addition to the didactic online courses, the curriculum includes an optional in-person internship or practicum experience.1

ProgramMonths iCredits
Master of Science in Business Analytics (MSBA)1234

Average number of months for students to complete program

Required Courses

All courses, 34.00 semester credit hours, are required.

This course is an introduction to the concepts and procedures of statistical analysis. Statistical approaches for data summarization, analysis, and interpretation are covered. The primary focus is the practical use of statistics in real-world situations.

This course will provide students with the skill set of analyzing and forecasting future trends. Students will gain the skills needed to predict sales, marketing campaigns, financial trends, and other business data. Students will leverage industry-standard tools such as Python libraries and translate complex findings into actionable insights for business analysis.

This course equips students with the skills to gather, store, organize, retrieve, and protect data for effective analysis and decision-making. The course focuses on the concepts, methods, and best practices of data management. Data modeling, database design, data normalization, database management systems (DBMS), data governance, data integration, data quality, and data security and the impact of artificial intelligence (AI) will be covered.

This course introduces the basic concepts and methods of artificial intelligence (AI) and machine learning. The fundamentals of several machine learning algorithms will be covered, along with applications. Assessment techniques for evaluating model performance as well as supervised learning (classification and regression) and unsupervised learning (clustering and dimensionality reduction) are covered.

This course will equip students with the foundational skills to transform unstructured text data into actionable business insights, opening doors to exciting career opportunities in various fields. This course will explore the core concepts of natural language processing (NLP), empowering students to uncover hidden meaning and unlock valuable information from diverse text sources. Students will gain the technical skills of NLP. In addition, cutting-edge applications will be explored for data-driven decision-making.

This course will explore the critical intersection of artificial intelligence (AI), data privacy, privacy laws, and ethical considerations. The course will discuss ethical decision-making through responsible data practices. Students will explore the evolving landscape of AI development and its challenges, as well as opportunities to operate responsibly.

This course explores the use of data-driven analytics for decision-making and risk management. Analytics in three critical business domains will be discussed (marketing, finance, and supply chain). Students will use analysis to optimize processes, make informed decisions, and achieve tangible results.

This course covers fundamental design principles for effective communication through visualizations. Students will gain hands on experience developing charts and graphs. Students will use industry-standard software to create visualizations.

This course explores how advances in software and technology have revolutionized how businesses leverage data for deeper insights. Students explore cutting-edge topics like artificial intelligence (AI), predictive modeling with deep learning, forecasting with Facebook Prophet, and business process optimization, within the context of emerging trends in business analytics.

This course introduces students to the core concepts of business analytics. This includes how to collect and clean data as part of the analytics process. In addition, students explore how regression analysis, predictive modeling, and artificial intelligence (AI) tools are used to make informed business decisions.

This course is an experiential learning course designed to provide students with real-world, practical experience in the business analytics field. It bridges academic theories and business practices, enabling students to apply their classroom knowledge to professional settings.

Or

The internship course is an opportunity for students to enhance their professional skills, network with industry professionals, and gain insights into the operational dynamics of business analytics.

TuItion & Cost 

Tuition & Cost

The cost of tuition for the Master of Science in Business Analytics program is $625 per credit.

You can potentially earn even greater savings by transferring credit from prior college coursework, applying for financial aid, or potential partnership opportunities through your employer.

Our goal is your career advancement. That’s why we are always working to improve our curriculum and processes to make our program as affordable as possible while preparing you best for success in your work.

  • Scholarships & Financial Aid

    You may be eligible for multiple scholarships and grants.

    Find scholarships and grants  

  • Military/Veteran Discounts

    Veterans, Active Duty U.S. Servicemembers, and spouses may qualify for a 10% tuition discount or tuition reduction to $250 per credit.

    VA/Military benefits  

Requirements

Admission Requirements

Enrollment prerequisites to enroll in Herzing’s MS in Business Analytics program include:

  • Completed bachelor’s or graduate degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have completed a three- or four-year bachelor’s degree at a foreign college or university recognized as equivalent to a U.S. bachelor’s degree by an approved foreign credential evaluator.
  • Meet and interview with a Herzing admissions advisor
  • Complete an application form

No minimum GMAT/GRE score is required for admission!

Alabama, Alaska, Arizona, Arkansas, California, Colorado, Connecticut, Delaware, District of Columbia, Florida, Georgia, Hawaii, Idaho, Illinois, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Montana, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, North Dakota, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, West Virginia, Wisconsin, Wyoming, and the Virgin Islands.
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Certifications

Preparation for critical industry certifications

Our MS in Business Analytics curriculum is built to support your career success and advancement. We prioritize the knowledge and skills employers seek from job applicants, including those aligned with key industry certifications.

Graduate from our program and you may be able to qualify to take exams for the following certifications:

  • Certified Business Analysis Professional (CBAP®)
  • Business Data Analytics Certification (IIBA – CBDA®)
  • PMI Professional in Business Analysis (PMI-PBA®)

Complete the requisite coursework and we will reimburse the application fees for up to three industry certifications.

Classes Start: May 5th

Waived Enrollment Fee

Discover the educational pathway designed to maximize your career potential. Reach for greater heights with Herzing University.

Faq

Frequently Asked Questions

Didn't find the answer to your question? Send us an inquiry and we will be happy to answer all your questions!

You may need to take some general education courses in mathematics. If you have completed prior mathematics gen eds, you may be able to transfer credits and fulfill that requirement in the curriculum.

Our core business analytics coursework does not contain any advanced math courses. Your analytical capabilities aren’t necessarily tied to your ability to perform advanced mathematical calculations.

Our undergraduate Business Statistics course does cover measurements like mean/median/mode, standard deviation, and variance. However, you won’t regularly encounter any types of math you may remember from high school or another college course, such as algebra, trigonometry, or calculus.

The MBA curriculum centers mainly around leadership and business administration skills emphasizing business analytics.

A Master of Science in Business Analytics curriculum places greater emphasis on a hard business analytics skillset and technical application of data.

Our MBA curriculum contains courses covering leadership, team dynamics, economics, corporate financial strategy, and project management. An MBA curriculum may have a single introductory course combining predictive analysis, machine learning, big data, or data visualization—while an MS curriculum may split each of those topics into their own full courses.

Data analysts can be found in just about every industry, including the financial industry, market research, healthcare, government, education, and IT. Some analysts work in an office setting, while others may work remotely from home.

Some data analysts choose to work as an independent consultant on a freelance or project basis. They may provide research or even training for companies on an as-needed basis.

Some potential data analytics job titles include:

  • Data Analyst
  • Business Analyst
  • Computer Support Specialist
  • Database Administrator
  • Network Engineer

Both business and data analysts usually work between a business team and a technology team, though their precise roles between those teams are unique. In some roles you may be asked to wear both hats, while larger organizations may have a more fleshed out structure in how they organize business vs. data analysts.

A data analyst may prepare the specifications and requirements for a project while business analysts actually execute the details of the project. Business analyst responsibilities commonly include directly interfacing with stakeholders, while data analysts may report primarily to a business analyst or project manager.

Generally speaking, data analysts spend a greater percentage of their time engaged in technical tasks while business analysts focus their energy on the bigger picture with an emphasis on people management rather than technical proficiency.

Business analytics can be a great career choice for analytically minded business professionals who may prefer leading meetings and communicating data insights as opposed to coding/programming or regularly working deeply with spreadsheets or databases.

Yes, working from home is a possibility for jobs in business analysis. However, every company and job are different and may have unique requirements for entry-level roles.

Succeeding in a career in data analytics requires soft skills such as problem solving, critical thinking, mathematical and analytical thinking, attention to detail, creativity and ingenuity. A great data analyst has a knack for identifying the key takeaways from a dataset and understand how to communicate it to many different types of people, from fellow analysts to C-suite executives looking for actionable insights.

Every job will come with its own requirements for technical skills and programming languages, including SQL, Python, SAS, Git, Excel, R, or many more.

Some jobs with a business emphasis may place a higher value on your ability to communicate the numbers rather than crunch them. Data analytics can become a valid career path for students with all sorts of different educational and professional backgrounds, such as going from accountant to data analyst.

Data analysts can wear many hats. We offer educational programs in business analytics across the spectrum of business and technology to equip students with the tools necessary to thrive in a wide variety of potential career pathways.

Potential salary in the field can vary significantly given the relevance of a business analytics curriculum to many different types of jobs. 

We’ve designed our curriculum to align with these occupational categories as defined by the Bureau of Labor Statistics:* 

  • Data scientists (source): $108,660 average salary per year ($52.24 per hour)
  • Management analysts (source): $115,530 average salary per year ($55.54 per hour)
  • Market research analysts (source): $76,080 average salary per year ($36.58 per hour)

Please keep in mind these do not represent entry-level salary estimates. Pay can vary by location, education level, years of experience, and specific job duties. Average salaries are typically higher than median figures, indicating the largest group earns below average—but also indicates excellent earning potential should you achieve excellence as a business analyst.

Yes! You can develop the career-focused knowledge and skills to excel in the field right from the start – and build a great foundation to climb the ladder in the future. 

Enroll in a bachelor’s degree program with Herzing University and you can potentially earn dual credit towards an MBA.

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The Student Experience at Herzing

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Disclosures

Disclosures

  1. Online students in some states may not be allowed to pursue an internship due to state restrictions. 

Herzing University is accredited by the Higher Learning Commission (hlcommission.org), an institutional accreditation agency recognized by the U.S. Department of Education.

View Herzing University Accreditation and Approvals

* Bureau of Labor Statistics (BLS), U.S. Department of Labor, Occupational Employment and Wage Statistics 2023 / Occupational Outlook Handbook 2022. BLS estimates do not represent entry-level wages and/or salaries. Multiple factors, including prior experience, age, geography market in which you want to work and degree field, will affect career outcomes and earnings. Herzing neither represents that its graduates will earn the average salaries calculated by BLS for a particular job nor guarantees that graduation from its program will result in a job, promotion, salary increase or other career growth.

Classes Start: May 5th

Waived Enrollment Fee

Discover the educational pathway designed to maximize your career potential. Reach for greater heights with Herzing University.