Program Overview
Enterprise leadership cannot afford a divide between technical execution and executive strategy. The Dual Degree Track (MS in Big Data Analytics + MBA) equips candidates to direct data-centric enterprises by uniting advanced quantitative engineering with decisive corporate leadership. Completed in an intensive, three-year cohort structure admitting exclusively in the fall and spring, the curriculum seamlessly integrates distributed cloud architectures, massive data pipelines, and machine learning with corporate finance, market strategy, and executive management. Graduates emerge with rare dual fluency: the technical authority to architect enterprise data solutions and the executive command to steer organizational growth.
Duration
3 Years
Flexible Schedule
Format ⓘ
In-person
On-Campus
Credits
72
Total credit hours
Transfer Credit
Up to 9
From accredited institutions
Average Class Size
18
Students per class
Your Journey Starts Here
Navigating disruption demands more than standard management frameworks—it requires the quantitative command to extract value from massive datasets. Positioned steps from the White House, federal regulatory bodies, and global corporate headquarters, Bay Atlantic University links graduate candidates directly into the epicenter of commercial and policy decision-making. Here, the capital’s intersection of technology and enterprise isn’t context—it’s coursework.
BUSINESS & DATA MASTERY
Strategic advantage belongs to leaders who command both the algorithm and the balance sheet. Dual-degree candidates move beyond entry-level business concepts into high-throughput ETL/ELT pipelines, distributed cloud data warehouses, econometric modeling, and advanced corporate finance. Guided by scholar-practitioners who advise global institutions and lead enterprise engineering teams, you learn to translate complex data telemetry into defensible capital investments and high-yield corporate initiatives.
GLOBAL PERSPECTIVES & LEADERSHIP
Executive leadership must be pressure-tested in real time, not studied in academic isolation. Collaborating within an international cohort representing more than 40 countries, candidates analyze live market disruptions, model cross-border trade strategies, and engage with industry summits like DC Startup and Tech Week. Coursework operates like an executive briefing room: candidates pitch commercial solutions, resolve regulatory hurdles, and lead cross-functional teams that bridge engineering, operations, and executive leadership.
LAUNCHING YOUR DUAL CAREER
Graduate education should accelerate an executive trajectory, not delay it. Completing two master’s degrees in three years provides unmatched market leverage and career versatility across the modern tech economy. Through rigorous dual capstones, candidates resolve genuine enterprise bottlenecks—architecting end-to-end data systems that deliver measurable bottom-line performance. Backed by NECHE accreditation and honors including Top 5 MBA program status and Top 10 data science rankings, BAU graduates enter the marketplace prepared to command senior roles as Principal Data Architects, Directors of Business Intelligence, and Chief Data Officers (CDOs).
Your Dream Career Awaits
At BAU, internship programs play a crucial role in linking business theory and technical practice. These experiences allow students to work with peers to develop critical problem-solving skills, enhance executive communication, and solve complex big data and organizational management challenges. Through both the Cyber Edge Innovation Hub and the Center for Innovation & Global Entrepreneurship, students will have the opportunity to acquire powerful computing resources, work with industry experts through mentorship, and leverage experiential learning to launch their own tech ventures.
$175,140
2025 Median Pay*, Cloud & Information Systems Manager
$120,230
2025 Median Pay*, Data Scientists
Other Career Opportunities: Business Intelligence Analyst • Data Architect • Database Manager • Big Data Engineer • Data Warehouse Manager • Data Analyst • Database Administrator • Data Modeler
*Source: U.S. Bureau of Labor Statistics.
Program Curriculum
Comprehensive curriculum designed for complex data and enterprise management challenges
72+
Credit Hours
80+
Courses
Tuition & Financial Aid
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Financial Aid Options
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Tuition Assistance
Up to $30,000
DMV Tuition Assistance
Up to 60%
Payment Plans
0% interest
Application Deadlines
Rolling admissions with multiple intake periods throughout the year. Domestic and transfer applications may continue to be reviewed after these deadlines on a rolling basis, subject to program availability. New students must complete registration by the census date for the applicable term; otherwise, they will not be eligible to register.
Spring 2027
Fall 2027
Meet Your Program Chair
Modern leaders must think innovatively and act ethically. Our faculty bridges intelligent systems design and global data strategies with sustainable entrepreneurship and corporate responsibility. This integrated approach prepares you to make strategic decisions that maximize both technical performance and business profits, while making a positive, lasting impact on society.
Bintou Lingani, Ph.D.
Chair of the Department of Business and Economics
EDUCATION
Doctorate in International Economics and Development, Howard University (2019)
RESEARCH FOCUS
International Trade and Economic Development in Sub-Saharan Africa and less developed Countries
HIGHLIGHTS
-
- Chair of the Department of Business and Economics at Bay Atlantic University
- Earned teaching assistantship while pursuing master’s at Howard University
- Continued work in academia throughout career
Pipop Nuangpookka, Ph.D.
Chair of the Information Sciences and Engineering
EDUCATION
Doctor of Science in Cybersecurity
RESEARCH FOCUS
Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming
HIGHLIGHTS
-
- Co-authored scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library
- Key publications include “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection”
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