Master of Science in Business Analytics Online
Gain the knowledge and credentials to thrive in today's data-driven economy and pursue leadership opportunities in a variety of industries.
Apply by:
Start class:
Program Overview
Discover what this online business analytics master’s program could do for you
Total Tuition:
$14,550
Program Duration:
As few as 10 months
Credit Hours:
30
Play a crucial role in helping organizations make informed decisions based on data-driven insights with your Master of Science in Business Analytics degree from Southern Utah University online. Develop proficiency in statistical analysis, data mining, predictive modeling, machine learning and other quantitative methods to extract insights from data and inform strategic decision-making.
Gain a strong foundation in transforming data into insights and applying quantitative methods to complex system problems to significantly impact organizational performance. Learn methodologies in real-world contexts in 100 percent online courses that combine technical expertise with practical applications.
As a graduate of this program, you will be prepared to:
- Develop a comprehensive understanding of the language and concepts of business
- Build strong communication and teamwork skills
- Apply the tools of data science to real problems and real data
- Develop a comprehensive understanding of the language and concepts of business
- Build strong communication and teamwork skills
- Apply the tools of data science to real problems and real data
This online M.S. in Business Analytics prepares you for roles, such as:
- Data Scientist
- Data Analyst
- Business Analyst
- Business Process Analyst
- Marketing Analyst
- System Analyst
- Data Scientist
- Data Analyst
- Business Analyst
- Business Process Analyst
- Marketing Analyst
- System Analyst
Accreditation
The Dixie L. Leavitt School of Business is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).
Also available online:
SUU offers a variety of online degree programs. Check out all of our online business programs.
Need more information?
Total Tuition:
$14,550
Program Duration:
As few as 10 months
Credit Hours:
30
Accreditation
The Dixie L. Leavitt School of Business is accredited by The Association to Advance Collegiate Schools of Business (AACSB International).
Need more information?
Tuition
Affordable tuition designed for you
Maximize the value of your M.S. in Business Analytics online with our affordable, pay-by-the-course tuition, which includes all fees.
Tuition Breakdown
Per Credit Hour:
$485
Total Tuition:
$14,550*
| Program | Per Credit Hour | Per Course | Per Program |
|---|---|---|---|
| M.S. in Business Analytics | $485 | $1,455 | $14,550* |
*Tuition price reflects 30 credit hour program. Students who do not have a degree in a discipline or field related to Business Analytics such as Computer Science, Economics, Information Systems, Math or Statistics may be required to take an additional leveling course (BA 6000) .
Tuition Breakdown
Per Credit Hour:
$485
Total Tuition:
$14,550*
Calendar
Follow these dates to apply, enroll and start classes
Designed for working professionals, SUU Online programs conveniently feature 7-week courses and multiple start dates each year.
Now Enrolling
Next Apply Date:
8/21/24
Next Class Start Date:
8/28/24
| Term | Start Date | Application Deadline | Document Deadline | Registration Deadline | Tuition Deadline | Last Class Day |
|---|---|---|---|---|---|---|
| Fall I | 8/28/24 | 8/21/24 | 8/21/24 | 8/23/24 | 8/28/24 | 10/15/24 |
| Fall II | 10/16/24 | 10/9/24 | 10/9/24 | 10/11/24 | 10/16/24 | 12/3/24 |
| Spring I | 1/8/25 | 1/1/25 | 1/1/25 | 1/3/25 | 1/8/25 | 2/25/25 |
Now Enrolling
Next Apply Date:
8/21/24
Next Class Start Date:
8/28/24
Need more information about our online programs?
Ready to take on the next steps toward earning your degree?
Admissions
Review the requirements for this online M.S. in Business Analytics program
Our streamlined admission process enables you to start quickly and easily. Please review the requirements for the M.S. in Business Analytics, including what additional materials you need and where you should send them.
Admission Requirements
- Online application
- Bachelor’s degree from an accredited institution**
- No GRE required
Admission requirements for the M.S. in Business Analytics:
- Submit graduate application
- Bachelor’s degree from an accredited institution**
- No GRE required
- A GPA of 3.0 or higher will qualify for automatic admission, but all students are encouraged to apply
**A bachelor’s degree in business disciplines or fields related to Business Analytics such as Computer Science, Economics, Information Systems, Math or Statistics preferred. Applicants with a degree in another area may be required to take a leveling course (BA 6000).
Python proficiency recommended but not required.
Transcripts
Please submit official transcripts from the college/university in which a bachelor's, master's or doctoral degree from an accredited institution was obtained.
- Applicants who have graduated from SUU do not need to submit a transcript
- International transcripts must include a transcript evaluation from a third-party service such as SpanTran or WES showing that the degree is equivalent to a U.S. bachelor's degree
Official transcripts must be mailed or emailed directly from the granting institution(s) to:
Email address:
[email protected]
Mailing address:
Admissions Office
Southern Utah University
PO Box 8008
Cedar City, Utah 84720
Courses
Look over the M.S. in Business Analytics online degree plan
For the Master of Science in Business Analytics online, you must complete 18 credit hours of core courses, including a capstone course, and 12 credit hours of elective courses. Students who do not have a bachelor’s degree in a business discipline or field related to Business Analytics, such as Computer Science, Economics, Information Systems, Math or Statistics, may be required to take a leveling course (BA 6000).
If you are required to take this course, it can be taken concurrently with other courses, except ANYL 6100. It is recommend to take an elective if doubling-up during BA 6000.
BA 6000: Business Foundations
Duration: 7 Weeks weeks
Credit Hours: 3
This accelerated and condensed course covers the essential concepts of Business Statistics, Microsoft Excel, Financial and Managerial Accounting and Corporate Finance that are necessary for success in subsequent graduate level business administration courses.
ANLY 6100: Data Analytics I
Duration: 7 Weeks weeks
Credit Hours: 3
An introduction to data science methods in business, finance, and economics. Includes an introduction to an appropriate programming language for data manipulation and modeling. Provides an overview of descriptive, predictive, and prescriptive methods in data analytics. Prerequisite(s): MATH 1040 and (MATH 1100 or MATH 1210 or ECON 2500) - Prerequisite Min. Grade: D-
ANLY 6110: Data Analytics II
Duration: 7 Weeks weeks
Credit Hours: 3
A continuation of ANLY 6100. Covers the primary analytic techniques involved in data mining, including logistic regression, decision trees, kNN, naive Bayes, and others. Introduces unsupervised learning methods. Builds on the programming skills established in ANLY 6100. Prerequisite(s): ANLY 6100 - Prerequisite Min. Grade: C-
ANLY 6200: Data Processing and Visualization
Duration: 7 Weeks weeks
Credit Hours: 3
This course covers prevalent methods and tools for data processing and visualization. Students are introduced to both the Python and R programming languages for processing, analyzing, and visualizing data. In addition, the course includes an overview of the Tableau software for data visualization. Course emphasis is on mastering basic software functionality and developing intermediate to advanced skills in working with and presenting data.
ANLY 6250: Data Management and Organization
Duration: 7 Weeks weeks
Credit Hours: 3
An introduction to the management and organization of data, with a particular emphasis on the current database tools for industry analytics. Topics include the logical structure of databases as well as the methods and technology for efficient data storage, retrieval, and presentation.
ANYL 6400: Big Data for Business
Duration: 7 Weeks weeks
Credit Hours: 3
This course introduces the theory of an “Internet of Things (IoT)” and how to deal with the massive amounts of data generated by the connections of the IoT. The course includes an introduction to the open-source technologies commonly used to deal with unstructured big data problems, such as Hadoop, Spark, Pig, Hive, and Amazon Web Services. Along with familiarizing students with big data techniques and tools, the course presents real-world business applications and gives students hands-on experience with obtaining valuable information from big datasets.
ANYL 6900: Capstone Project
Duration: 7 Weeks weeks
Credit Hours: 3
With faculty input and supervision, students carry out a complex analytics project that applies methodologies from their coursework to enhance the performance of a business.
ACCT 6650: Accounting Ethics Seminar
Duration: 7 Weeks weeks
Credit Hours: 3
This seminar is designed to help students develop the strength of their own characters by receiving ethics education in moral sensitivity, judgment, and motivation. Ethics philosophies, professional codes of conduct, and strategies for ensuring ethical behavior in the workplace are discussed using case studies of ethics scandals and moral exemplars. The course fee of $22.00 is used to support the computer labs and mediated classrooms in the Business Building.
ANLY 6050: Programming for Data Science (Python)
Duration: 7 Weeks weeks
Credit Hours: 3
Introduction to programming basics (what it is and how it works), binary computation, problem-solving methods and algorithm development. Includes procedural and data abstractions, program design, debugging, testing, and documentation. Covers data types, control structures, functions, parameter passing, library functions, arrays, inheritance and object oriented design.
ANLY 6350 : Advanced Data Management and Organization
Duration: 7 Weeks weeks
Credit Hours: 3
This course focuses on research and applications in advanced database systems for Cloud and Big Data Computing. Advanced database research has produced a collection of powerful and successful NoSQL (Not Only SQL) database systems. During this course we will cover Amazon’s DynamoDB, MongoDB, Spark Streaming and MapReduce.
ANLY 6500: Advanced Data Analytics
Duration: 7 Weeks weeks
Credit Hours: 3
This course provides an overview of advanced machine learning, data mining and data analytics applications. The main topics of the course can be organized as follows: Anomaly and Outlier Detection, Categorical and Regression Trees (CART), Time-series, K-Nearest Neighbors (KNN), Artificial Neural Networks (ANN), Gradient Boosting (GB), Random Forests (RF), Cluster Analysis, Support Vector Machines (SVM). (Fall - 2nd Session) [Graded (Standard Letter)]
N/A: Elective
Duration: 7 Weeks weeks
Credit Hours: 3
Any advisor-approved elective.
ECON 6100: Management Science I
Duration: 7 Weeks weeks
Credit Hours: 3
Application of quantitative methods to business analysis and decision-making. Fundamental topics of management science are covered including optimization modeling, decision and risk analysis, and simulation modeling.
FIN 6100: Managerial Finance
Duration: 7 Weeks weeks
Credit Hours: 3
This course examines the capital budgeting process, including estimating the cost of capital and cash flows, correct application of decision rules, and ways of analyzing and dealing with uncertainty in your forecasts. It also discusses key topics in financial management, such as optimal leverage, raising capital for the firm, and equity payout policies. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
FIN 6400: Entrepreneurial Finance
Duration: 7 Weeks weeks
Credit Hours: 3
This course provides students with an understanding of the financial tools used in creating, running, and valuing entrepreneurial enterprises. It includes an overview of the entrepreneurial process, including different organizational structures, financing sources, and the value of intellectual property protections. The course also covers the valuation techniques commonly used by professional investors, and examines how investors, particularly private equity sources, select projects for investment. Students will learn to use common financial ratios and cash flow projections to analyze the liquidity and profitability of the firm. A semester-long project will help students apply these techniques and ideas. Prerequisite(s): FIN 6100 - Prerequisite Min. Grade: C-
FIN 6750: Investments
Duration: 7 Weeks weeks
Credit Hours: 3
This class serves as an introduction to commonly traded assets, as well as the markets on which they trade. For each major asset class, we learn common valuation approaches, as well as the theories used to estimate appropriate discount rates. Applied projects are used to illustrate the type of mathematical analysis used by investment professionals. Prerequisite(s): FIN 6100 or MBA Director permission
HCA 6100: Introduction to Healthcare Administration
Duration: 7 Weeks weeks
Credit Hours: 3
This course provides a foundation in Healthcare Administration. The course introduces the student to the structure and functions of the U.S. Health Care System. Topics to be covered include an overview of the U.S. Health Care System (private and public sectors), the interface between Public Health and U.S. Health Care System, various health care delivery structures, health care workforce, health care resources, types of health services, financing of health services and health care coverage, meeting the health care needs of special populations, and critical issues in health services.
HCA 6300: Accounting and Finance for Healthcare Administration
Duration: 7 Weeks weeks
Credit Hours: 3
Through this course students will explore advanced principles and techniques related to healthcare accounting and financial management. The primary objective of this course is for students to be able to apply administrative/managerial knowledge and the related accounting/financial theory and techniques within today’s healthcare marketplace.
HCA 6400: Policy, Law, Ethics, and Regulations
Duration: 7 Weeks weeks
Credit Hours: 3
This course will examine the interrelated changes in healthcare administration, ethical and legal expectations, and the organization of health care and health policy over the last century. The ways that leaders in healthcare organizations adapt to and challenge public policies throughout the policymaking process, the consequences of this behavior for the administration, services, staffing, inter-organizational linkages, and the impact on health and practice, research, and education.
MGMT 6100: Managing People & Organizations
Duration: 7 Weeks weeks
Credit Hours: 3
This course examines the principles of organizational behavior involved in managing people and organizations in a business environment. Topics include leadership, motivation, effective teams, conflict and negotiations, power and influence, organizational culture, and change management. This course focuses on the practical application of these principles in a meaningful and ethical manner.
**FIXED FIRST COURSE for all MBA STUDENTS unless you are required to take BA 6000. If BA 6000 is required, you will receive a course sequence from your academic advisor. This fixed-first does not apply to students in the MSN, MSN/MBA dual degree program, or the MS in Cybersecurity with Information Assurance - Management program.**
MGMT 6140: Operations & Supply Chain Management
Duration: 7 Weeks weeks
Credit Hours: 3
The management of operations and supply chain, including such topics as competitive strategy, product and service design, quality management, process improvements, supply chain management, work design management, logistics, and selected areas of operations research. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
MGMT 6150: Leadership
Duration: 7 Weeks weeks
Credit Hours: 3
The purpose of the course is to enable students to prepare themselves to become leaders of organizations and to embark on paths of personal leadership development. The course requires personal curiosity and reflection from students as well as personal openness and sharing in class discussions. Leadership development concepts used in the course will be immediately applicable for students and useful for the rest of their lives. Prerequisite(s): BA 6000 or advisor permission - Prerequisite Min. Grade: C-
MGMT 6250: Authentic Leadership
Duration: 7 Weeks weeks
Credit Hours: 3
This course builds on the foundations of leadership to help students develop into effective, authentic leaders. Taking a practical approach, this course will help students become more self-aware of their natural leadership style, how their personal leadership impacts others, and what they can do to become a more effective and authentic leader. Prerequisite(s): MGMT 6150 - Prerequisite Min. Grade: C
MGMT 6260: Effective Teams
Duration: 7 Weeks weeks
Credit Hours: 3
This course covers a deep exploration of what it takes to build effective teams. Participants will study what makes teams effective, what is required to build trust on teams, handling team conflict, creating accountability on teams, practical leadership strategies when leading teams, multicultural and virtual teams and team branding. Prerequisite(s): MGMT 6150 or MBA Director permission
MGMT 6600: Project Management
Duration: 7 Weeks weeks
Credit Hours: 3
This course focuses on the practical application and best practices of the project management processes outlined in the Project Management Institute's A Guide to the Project Management Body of Knowledge® (PMBOK). Consideration of the five Project Management Process Groups of initiating, planning, executing, monitoring and controlling, and closing the project will be examined in the context of each of 10 knowledge areas.
MGMT 6610: Applied Project Management
Duration: 7 Weeks weeks
Credit Hours: 3
This course is a hands-on course that utilizes the practical application of fundamental project management concepts, behavioral skills, and software (MS Project) needed to successfully launch, lead, and realize benefits from projects in for-profit and nonprofit organizations. Successful project managers skillfully manage their resources, schedules, risks, and scope to produce a desired outcome. In this course, students explore project management with an applied approach through case studies, simulations, and class exercises. Special attention is given to understanding and utilizing project management software in the successful management of projects.
MKTG 6300: Marketing Analytics
Duration: 7 Weeks weeks
Credit Hours: 3
This course provides an overview of the analytics methods used most commonly in current marketing decision-making. Students are introduced to common marketing models and the advanced analytics tools available to address the increasingly complex problems facing today's marketers. This course will augment the traditional, well-established marketing research methodology with the most up-to-date research methods used in industry today. Prerequisite(s): MKTG 6200 - Prerequisite Min. Grade: C
MKTG 6930: Integrated Marketing
Duration: 7 Weeks weeks
Credit Hours: 3
Explores key marketing strategies related to communicating value regarding products and services through cases, readings and research. Topics include: promotion campaign management, traditional and digital advertising, sales promotion, direct marketing, and public relations. Prerequisite(s): MKTG 6200 - Prerequisite Min. Grade: C
Request more information
Submit the form below, and an enrollment specialist will contact you to answer your questions.
Begin application process
Start your application today!
for help with any questions you may have.
