M.S. in Business Analytics
Turn Big Data into a Bold Career Move With an MSBA Degree
Regent’s Master of Science in Business Analytics (MSBA) degree gives you comprehensive training in one of the fastest-growing fields. We emphasize ethics, strategies to protect data integrity, and upholding the privacy of individuals and organizations. For those already working in business analytics, the program will fill important gaps in your technical and soft skills needed for career advancement into senior positions.
ACCELERATE YOUR INCOME
Leverage your marketability in the face of a data analyst shortage – and command a six-figure salary.
BECOME A STRATEGIC DECISION-MAKER
Mine big data to make effective business decisions that improve the performance of your organization.
BUILD IN-DEMAND SKILLS THROUGH THE MSBA PROGRAM
Learn how to transform large, unstructured data sets into deliverables that drive value and create competitive advantage.
You’ll gain expertise in business processes, high-level mathematics, computer science and statistics, predictive analytics, data mining, optimization, risk analysis, and data visualization – all from a biblical worldview. On completing BAN630 Predictive Analytics (3) and BAN635 Data Mining (3) courses, you will also earn a digital SAS badge indicating a Tier 1 SAS Academic Specialization.
This immersive program offers hands-on experience with applications of the latest data analytics tools in real-world business scenarios. These tools include the SAS Enterprise Guide, SAS Enterprise Miner, R, R-Studio, and Analytic Solver.
To learn more about this program, please complete the Request Information form on this page.
After completing this Master’s in Business Analytics online, you will be able to:
- Provide data-driven leadership across a wide variety of industries and functions, including marketing, finance, operations management, retail, manufacturing, banking and healthcare.
- Present data and predictions using top industry tools and foundational analytic concepts.
- Analyze best practices for corporate data storage and handling.
- Apply the use of modern analytical software, algorithms and methodologies through hands-on experience.
According to the Bureau of Labor Statistics:
- Employment in business and financial operations occupations is projected to grow 8% from 2020 to 2030, adding about 750,800 new jobs in the U.S.
- A growing economy and a complex tax and regulatory environment are expected to generate strong demand for accountants and auditors. In addition, increasing usage of data and market research in order to understand customers and product demand will lead to growing demand for market research analysts.
- In 2021, the median annual income for business and financial occupations was $30,000 higher per year than the median wage for all occupations in the U.S.
Career Opportunities
- Database Analyst
- SAS Programmer
- Business Analytics Expert
- Statistician
- Security Analyst
- Fraud/Risk Manager
Development of a deep understanding of the organization, positions, purpose, methods, informational processes, and decision-making mechanisms of the corporation.
The ethical conduct of business organizations as specifically related to the gathering, storage, analysis, dissemination, and use of public and private data.
Survey of central issues related to corporate data storage and handling, and the role and value of data analytics in parsing large volumes of complex multi-source data to meet the decision-making needs of contemporary organizations.
Hands-on use of modern analytical software, algorithms, and methodologies to solve discrete real-world case studies as key aids to rational decision-making in organizations.
Introduction to technologies, principles, and activities involved in corporate data management, primarily data warehousing.
Covers foundational analytics concepts using selected industry tools, eg. AZURE, and methods for interpreting business requirements, describing, summarizing, and presenting data, and making predictions using statistical analysis.
Techniques to intelligently extract and analyze useful information stored in large data sets using machine learning algorithms such as Locality Sensitive Hashing (LSH), web analytics and social network analysis, decision trees and their applications in business intelligence, are covered.
Introduction to R (an open-source programming language for statistics and graphics), widely used within corporations, non-profits, and government, and related languages.
Building upon the tools and techniques of the M.S. in Business Analytics curriculum, teams of three (or less) students will conduct an applied analytical research project to address an important industry-supplied issue. Course should be completed in the final semester of study.
2022-23 Semester Check-In Deadlines
All new students are expected to check-in for the semester two weeks before the session start date. Students should apply, be accepted, enroll in their first courses, and confirm a plan to pay for their courses prior to this date.
| Session | Semester Check-In | Session Start Date |
|---|---|---|
| Session A | Friday, August 12 | Monday, August 22 |
| Session M | Friday, September 9 | Monday, September 19 |
| Session B | Friday, October 14 | Monday, October 24 |
| Session C | Wednesday, January 4 | Monday, January 9 |
| Session T | Friday, January 27 | Monday, February 6 |
| Session D | Friday, March 3 | Monday, March 13 |
| Session E | Friday, April 28 | Monday, May 8 |
| Session F | Friday, June 9 | Monday, June 19 |
Admissions Requirements
Step 1: Apply to Regent University
- Submit your application at www.regent.edu/apply.
Step 2: Complete Your Admissions Questionnaire
- After you submit your application, you will receive a link to complete the required admissions questionnaire.
Step 3: Submit Your Unofficial College Transcripts
- Email your unofficial college transcripts to apply@regent.edu using the subject line: Unofficial Transcripts.
- Upon conditional acceptance, Regent University will attempt to obtain your official transcripts from your U.S. degree-granting institution.
- International transcripts must be evaluated by an NACES-approved company.
Step 4: Submit Your Government-Issued ID
- Email a photo of your government-issued ID to apply@regent.edu using the subject line: Government ID.
- Please note that all items submitted as part of the application process become the property of Regent University and cannot be returned.
PART-TIME STUDENTS
| Degree | Tuition Cost Per Credit Hour | Average Credit Hours Per Semester | Average Tuition Per Semester |
|---|---|---|---|
| Master of Arts (MA) / Master of Science (MS) | $695 | 6 | $4,170 |
| Master of Business Administration (MBA) | $695 | 6 | $4,170 |
| Doctor of Philosophy in Organizational Leadership (PhD) | $1,020 | 3 | $3,060 |
| Doctor of Strategic Leadership (DSL) | $1,020 | 3 | $3,060 |
Full-Time Students
| Degree | Tuition Cost Per Credit Hour | Average Credit Hours Per Semester | Average Tuition Per Semester |
|---|---|---|---|
| Master of Arts (MA) / Master of Science (MS) | $695 | 9 | $6,255 |
| Master of Business Administration (MBA) | $695 | 9 | $6,255 |
| Doctor of Philosophy in Organizational Leadership (PhD) | $1,020 | 6 | $6,120 |
| Doctor of Strategic Leadership (DSL) | $1,020 | 6 | $6,120 |
Student Fees Per Semester
| University Services Fee (On-Campus Students) | $800 |
| University Services Fee (Online Students) | $650 |
Student Fees Per Semester
| University Services Fee (Online Students) | $650 |
| Enrollment Deposit | $100 |
| RU Library Course Fee | $50 (one-time fee) |
Part-Time Students
| Degree | Tuition Cost Per Credit Hour | Average Credit Hours Per Semester | Average Tuition Per Semester |
|---|---|---|---|
| Master of Arts (MA) / Master of Science (MS) | $675 | 6 | $4,050 |
| Master of Business Administration (MBA) | $675 | 6 | $4,050 |
| Doctor of Philosophy in Organizational Leadership (PhD) | $995 | 3 | $2,985 |
| Doctor of Strategic Leadership (DSL) | $995 | 3 | $2,985 |
Full-Time Students
| Degree | Tuition Cost Per Credit Hour | Average Credit Hours Per Semester | Average Tuition Per Semester |
|---|---|---|---|
| Master of Arts (MA) / Master of Science (MS) | $675 | 9 | $6,075 |
| Master of Business Administration (MBA) | $675 | 9 | $6,075 |
| Doctor of Philosophy in Organizational Leadership (PhD) | $995 | 6 | $5,970 |
| Doctor of Strategic Leadership (DSL) | $995 | 6 | $5,970 |
Student Fees Per Semester
| University Services Fee (On-Campus Students) | $800 |
| University Services Fee (Online Students) | $650 |
Student Fees Per Semester
| University Services Fee (Online Students) | $650 |
| Enrollment Deposit | $100 |
| RU Library Course Fee | $50 (one-time fee) |
*Rates are subject to change at any time. The per-credit-hour tuition rate is for SBL master’s level courses only. Concentration courses taken from the other schools at Regent University are charged at that school’s tuition rate.
Estimated Cost of Attendance: View the estimated cost of attendance to see an example of the total cost of tuition and fees.
SAS Badge
The Regent University School of Business & Leadership Master of Science in Business Analytics (MSBA) program emphasizes ethics, strategies to protect data integrity, and the upholding of privacy of individuals and organizations. For those already working in business analytics, the program fills important gaps in the technical and soft skills needed for career advancement into senior data analytics positions. In partnership with SAS – the recognized analytics leader and trusted analytics powerhouse – students who successfully complete BAN630 Predictive Analytics (3) and BAN635 Data Mining (3) will be awarded a digital SAS badge indicating a Tier 1 SAS Academic Specialization. This digital badge can be used in email signatures or digital résumés, and on social media sites such as LinkedIn, Facebook and Twitter. The digital image contains verified metadata that describes individuals’ qualifications and the process required to earn them. SAS’ digital badging platform provides:
- Web-enabled version of credential that can be shared online.
- Labor market insights that connect skills to jobs.
- Trusted method for real-time credential verification.
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