M.S. in Business Analytics

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.

Career Opportunities

• Database Analyst
• SAS Programmer
• Business Analytics Expert
• Statistician
• Security Analyst
• Fraud/Risk Manager

The admissions committee will consider the following criteria:

• Academic achievement
• Vision clarity and alignment with program outcomes
• Writing quality
• Leadership experience

2020-2021 Semester Check-In Deadlines:

All new students are expected to check-in for the semester 2 weeks prior to 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.

Prerequisites:

Master’s applicants must:

• Hold a bachelor’s degree from a regionally accredited institution or an equivalent degree from a foreign institution, as evaluated by a credential evaluating agency.
• Submit all application materials such that they are received by the application deadline. Admission interviews are by invitation only and may be requested.

Application Process:

1. Complete Your Online Application

Note: If you are unable to complete our application due to a disability, please contact our Admissions Office for assistance.

2. Pay Your $50 Application Fee

Pay the $50 nonrefundable application fee by check or money order mailed to Regent University, Enrollment Support Services, 1000 Regent University Drive, Virginia Beach, VA 23464.

3. Submit your Unofficial College Transcripts*

Unofficial transcripts from a U.S.-based school, indicating successful completion of a bachelor’s degree program, can be used for an admissions decision. Submit your unofficial transcript to apply@regent.edu using the subject line: SBL Master’s Application Pieces.

Non-U.S. transcripts must be evaluated by an NACES-approved company. See the International Admissions Checklist for details.

*Upon conditional acceptance to the program by review of unofficial transcripts, Regent University will attempt to obtain your official transcripts from your U.S. degree-granting institution, which indicate successful completion of a bachelor’s degree. We will notify you if your previous institution will not release transcripts directly to us.

4. Complete an Admissions Questionnaire Regarding Your Professional Goals and Interests

5. Submit Your Government-Issued ID

To ensure academic integrity, Regent University requires a copy of a government-issued ID. Please email a scanned copy or photograph of it to apply@regent.edu with the subject line: Government ID.

6. International Applicants

Visit the International Student Admissions page for additional admission requirements and to determine if you qualify as an international student.

Note: All items submitted as part of the application process become the property of Regent University and cannot be returned.

• 2019-20 Tuition Rates
• 2020-21 Tuition Rates

*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 other Regent schools are charged at that school’s tuition rate.

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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