Dual Master Program

Program Overview

This three-year, on-campus program equips students with the skills necessary to excel in data-driven environments, providing a comprehensive blend of business fundamentals and big data analytics capabilities. With a focus on professionalism, problem-solving, and global perspectives, the program prepares graduates for leadership roles in various industries, including government, private sector, nonprofits, and international business.

Program Outline

Dual Master Program - Bay Atlantic University

Degree Overview:

The Dual Master Program at Bay Atlantic University offers a combined Master of Business Administration (MBA) and Master of Science in Big Data Analytics (MS in BGDA). This program is designed to equip students with the skills and knowledge necessary to excel in today's data-driven business world.

Key Features:

• Duration: 3 years (on-campus)
• Total Credits: 72
• Tuition per Year: $25,200
• Course Delivery Method: On-campus
• Cohort-based: Students are admitted as a cohort in the fall and spring semesters (no summer starts) and must follow the program plan.
• Minimum Requirements:
• Minimum Passing Grade Per Course: B-
• CGPA: 3.00
• Total Required Credits: 72
• Maximum Time Frame (MTF): 54 credits
• Transfer Credits: Up to 50% of credits earned at accredited institutions can be transferred.

Problem-Solving:

Apply specialized knowledge, big data, and quantitative skills to solve business problems.

Global Perspective:

Demonstrate a global perspective and an awareness of how cultural differences impact businesses.

Strategic Integration:

Possess the skills required to integrate concepts from various disciplines to identify and develop business strategies.

Teamwork:

Possess the skills required to work and lead effectively in a team-based environment.

Outline:

Core Requirements (48 Credits):

• Fall Start:
• Fall 1:
• BUSN 601: Entrepreneurship (3 credits)
• BGDA 501: Introduction to Big Data (3 credits)
• CMPS 514: Management Information System (3 credits)
• Spring 1:
• MGTK 512: Marketing Management (3 credits)
• BGDA 511: Big Data and Analytics (3 credits)
• MGMT 502: Leadership and Organizational Behaviour (3 credits)
• Summer 1:
• FINC 509: Financial Management (3 credits)
• BGDA 522: Applied Statistics (3 credits)
• Fall 2:
• ACCT 507: Managerial Accounting (3 credits)
• BGDA 555: Business Intelligence (3 credits)
• ECON 505: Economics (3 credits)
• Spring 2:
• BUSN 510: Data, Models, and Decisions (3 credits)
• BGDA 510: Data Mining (3 credits)
• MKTG 615: Market Analytics (3 credits)
• Summer 2:
• Elective (3 credits)
• Elective (3 credits)
• Fall 3:
• Elective (3 credits)
• Elective (3 credits)
• Elective (3 credits)
• Spring 3:
• CAPS 621: Capstone Project I (3 credits)
• CAPS 623: Internship (3 credits)
• Spring Start:
• Spring 1:
• CMPS 514: Management Information System (3 credits)
• MGMT 502: Leadership and Organizational Behaviour (3 credits)
• MGTK 512: Marketing Management (3 credits)
• Summer 1:
• FINC 509: Financial Management (3 credits)
• BGDA 522: Applied Statistics (3 credits)
• Fall 1:
• ACCT 507: Managerial Accounting (3 credits)
• BUSN 601: Entrepreneurship (3 credits)
• BGDA 501: Introduction to Big Data (3 credits)
• Spring 2:
• BUSN 510: Data, Models, and Decisions (3 credits)
• BGDA 510: Data Mining (3 credits)
• BGDA 511: Big Data and Analytics (3 credits)
• Summer 2:
• Elective (3 credits)
• Fall 2:
• Elective (3 credits)
• BGDA 555: Business Intelligence (3 credits)
• ECON 505: Economics (3 credits)
• Spring 3:
• MKTG 615: Marketing Analytics (3 credits)
• Elective (3 credits)
• Elective (3 credits)
• Summer 3:
• Elective (3 credits)
• Fall 3:
• CAPS 621: Capstone Project I (3 credits)
• CAPS 623: Internship (3 credits)

Electives (15 Credits):

• Big Data Analytics (3 courses):
• BGDA 513: Artificial Intelligence
• BGDA 521: Technology Management
• BGDA 550: Big Data and Hadoop Environment
• BGDA 552: Big Data Analytics and Cloud Computing
• CMPS 515: Network Security and Cryptography
• CMPS 517: Computer Forensics
• CMPS 524: Computer Networks and Mobile Communications
• CMPS 564: Information Security Management
• MBA (2 courses):
• BUSN 616: New Product Management
• BUSN 641: Survey of Innovations around the World
• BUSN 642: Corporate and National Trade and Investment Security Issues
• BUSN 644: International Patents
• BUSN 645: Regional Trade Issues
• BUSN 646: Competition Policy Across Nations
• BUSN 647: Emerging Markets
• BUSN 654: Globalization and Business Strategy
• BUSN 655: Conflict Analysis, Mediation and Negotiation
• BUSN 659: Risk Assessment in Conflict Regions
• ECON 605: Quantitative Methods in Business and Economics
• ECONN 656: Geographic Information Science (GIS)
• ECON 665: U.S. Economic and Trade Policy
• ECON 670: Urban Economics, Finance, and Governance
• FINC 647: International Financial Institutions
• FINC 649: Global Financial Markets
• FINC 660: Global Financial Ethics
• MGMT 532: Strategic Management
• MGMT 533: Blockchain Technology and Business Management
• MGMT 610: Advertising Management
• MGMT 611: The Entrepreneurial Manager
• MGMT 612: Non-Profit Management
• MGMT 614: Managing Innovations
• MGMT 615: Intrapreneurship
• MKTG 618: Digital Marketing, Social Media, and E-Commerce
• MKTG 622: Pricing
• MKTG 641: Brand Management

Careers:

• Government: Leadership roles in government agencies.
• Private Sector: Positions in data analytics, business intelligence, and management.
• Nonprofit Management: Leadership roles in non-profit organizations.
• International Business: Opportunities in global business operations and consulting.
• Diplomacy: Careers in international relations and diplomacy.

Other:

• Program Benefits:
• Student Services:
Career preparation, personal development workshops, clubs, and social events.
• Location: Downtown Washington, D.C., offering access to political, historical, and cultural sites.
• Student Housing: Island Condos student housing complex in Brookland, Washington, D.C.
• Transportation:
School shuttle bus and WMATA U-Pass card for affordable travel.
• Practitioner-Driven Teaching: The program emphasizes real-world experience and practical application of knowledge.
• Faculty: The program is taught by experienced faculty with expertise in business, data analytics, and international relations.