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Dual Master’s Intensive Pathway

This is a STEM-designated program! Click here for detailed information about STEM OPT/CPT.

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PROGRAM OVERVIEW

 

COURSE DELIVERY METHOD DURATION TOTAL CREDITS TUITION PER YEAR*
ON CAMPUS 3 YEARS 72 $25,935
* For full-time course load students

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DEGREE DETAILS

The Dual Master Program is a three-year intensive pathway to earn both a Master of Science Degree in Big Data Analytics and a Master of Business Administration. The dual master degrees are earned by completing 72 credit hours of coursework, of which 48 credit hours are core courses, 15 credit hours are electives, leaving nine credits, which are counted for both programs from the core courses. Because of the intensive nature of this program, students are admitted as a cohort in the fall and spring (no summer starts) and must follow the program plan to be successful.

Students should meet the following minimum requirements to qualify for a graduate degree:
Minimum Passing Grade Per Course B- (CGPA 3.00)
Total Required Credits 72

1. Students enrolled in the graduate program must maintain a Cumulative Grade Point Average (CGPA) of at least 3.0 out of 4.0 to qualify for the graduate degree, to remain in good standing, and to graduate.
2. The Maximum Time Frame (MTF) for completion of the graduate program is 54 credits.
3. A graduate student may transfer up to 6 credits earned at accredited institutions.

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A group of students seated in a classroom, attentively listening and taking notes during a lecture.
A group of graduates in caps and gowns posing with large 'BAU' letters during a graduation ceremony.

PROGRAM OUTCOMES

1. Demonstrate professionalism, self-awareness, leadership, and effective communication skills.
2. Understand ethical issues and dilemmas that businesses often face.
3. Apply specialized knowledge, big data, and quantitative skills to solve business problems.
4. Demonstrate a global perspective and an awareness of how cultural differences impact businesses.
5. Possess the skills required to integrate concepts from various disciplines to identify and develop business strategies.
6. Possess the skills required to work and lead effectively in a team-based environment.

For MBA program objectives, please check here.
For MS in Big Data Analytics program objectives, please check here.

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COURSES IN THE DEGREE

The dual master degrees are earned by completing 72 credit hours of coursework, of which 48 credit hours are core courses, 15 credit hours are electives, leaving nine credits, which are counted for both programs from the core courses. Because of the intensive nature of this program, students are admitted as a cohort in the fall and spring (no summer starts) and must follow the program plan to be successful.

DUAL MASTER PROGRAM:
COURSE LISTING

FALL START - Core Requirements: 48 Credits (14 Courses)

 

Course Code Course Name Pre Requisite Credit
Fall 1      
BUSN 601 Entrepreneurship   3
BGDA 501 Introduction to Big Data   3
CMPS 514 Management Information System   3
Spring 1      
MGTK 512 Marketing Management   3
BGDA 511 Big Data and Analytics CMPS 514 3
MGMT 502 Leadership and Organizational Behaviour   3
Summer 1      
FINC 509 Financial Management   3
BGDA 522 Applied Statistics   3
Fall 2      
ACCT 507 Managerial Accounting   3
BGDA 555 Business Intelligence BGDA 522 3
ECON 505 Economics   3
Spring 2      
BUSN 510 Data, Models, and Decisions**   3
BGDA 510 Data Mining CMPS 514 3
MKTG 615 Market Analytics** BGDA 555 3
Summer 2      
– Elective*   3
– Elective*   3
Fall 3      
– Elective*   3
– Elective*   3
– Elective*   3
Spring 3      
CAPS 621 Capstone Project I** All Cores 3
CAPS 623 Internship All Cores 3
*3 electives must be from Big Data *2 electives must be from MBA **course requirements for both degrees, and counted as two courses (9 credits)

SPRING START - Core Requirements: 48 Credits (14 Courses)

Course Code Course Name Pre Requisite Credit
Spring 1      
CMPS 514 Management Information System   3
MGMT 502 Leadership and Organizational Behaviour   3
MGTK 512 Marketing Management   3
Summer 1      
FINC 509 Financial Management   3
BGDA 522 Applied Statistics   3
Fall 1      
ACCT 507 Managerial Accounting   3
BUSN 601 Entrepreneurship   3
BGDA 501 Introduction to Big Data   3
Spring 2      
BUSN 510 Data, Models, and Decisions**   3
BGDA 510 Data Mining CMPS 514 3
BGDA 511 Big Data and Analytics CMPS 514 3
Summer 2      
– Elective*   3
Fall 2      
– Elective*   3
BGDA 555 Business Intelligence BGDA 522 3
ECON 505 Economics   3
Spring 3      
MKTG 615 Marketing Analytics** BGDA 555 3
– Elective*   3
– Elective*   3
Summer 3      
– Elective*   3
Fall 3      
CAPS 621 Capstone Project I** All Cores 3
CAPS 623 Internship All Cores 3
*3 electives must be from Big Data *2 electives must be from MBA **course requirements for both degrees, and counted as two courses (9 credits)

Electives: 15 credits (students must choose 5 courses, 3 from Big Data Analytics and 2 from MBA)

Course Code Course Name Pre Requisite Credit
BGDA 513 Artificial Intelligence BGDA 511 3
BGDA 521 Technology Management   3
BGDA 550 Big Datta and Hadoop Environment BGDA 511 3
BGDA 552 Big Data Analytics and Cloud Computing BGDA 511 3
CMPS 515 Network Security and Cryptography CMPS 514 3
CMPS 517 Computer Forensics CMPS 514 3
CMPS 524 Computer Networks and Mobile Communications CMPS 514 3
CMPS 564 Information Security Management CMPS 515 3
BUSN 616 New Product Management MKTG 512 3
BUSN 641 Survey of Innovations around the World   3
BUSN 642 Corporate and National Trade and Investment Security Issues   3
BUSN 644 International Patents   3
BUSN 645 Regional Trade Issues   3
BUSN 646 Competition Policy Across Nations   3
BUSN 647 Emerging Markets   3
BUSN 654 Globalization and Bussines Strategy   3
BUSN 655 Conflict Analysis, Mediation and Negotiation   3
BUSN 659 Risk Assessment in Conflict Regions   3
ECON 605 Quantitative Methods in Business and Economics   3
ECONN 656 Geographic Information Science (GIS)   3
ECON 665 U.S. Economic and Trade Policy   3
ECON 670 Urban Economics, Finance, and Governance   3
FINC 647 International Financial Institutions   3
FINC 649 Global Financial Markets   3
FINC 660 Global Financial Ethics   3
MGMT 532 Strategic Management   3
MGMT 533 Blockchain Technology and Business Management   3
MGMT 610 Advertising Management   3
MGMT 611 The Entrepreneurial Manager   3
MGMT 612 Non-Profit Management   3
MGMT 614 Managing Innovations   3
MGMT 615 Intrapreneurship   3
MKTG 615 Marketing Analytics   3
MKTG 618 Digital Marketing, Social Media, and E-Commerce   3
MKTG 622 Pricing MKTG 512 3
MKTG 641 Brand Managemennt   3

* For detailed descriptions of each course, please visit the BAU 2024-2025 Academic Catalog.

PROGRAM BENEFITS

Dual Master programs are first of more economical than pursuing them separately. Our dual degrees in business administration and bid data analytics provide broader skills that stand out to potential employers. This degree will bring more diverse opportunities allowing students to comfortably switch from careers easily.

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CAREER OPPORTUNITIES

Studying two degrees in three years means that students in the Dual Master program have even greater potential and more career opportunities. Students will learn the tools to contribute productively to today’s international, political and economical fields. They will gain research, leadership and management skills that are highly transferable across sectors, as well as prepared for a leadership role in key areas such as government, private sector, nonprofit management, international business, consulting, diplomacy, etc.

Because of its emphasis on STEM topics, the program will also prepare students for job positions such as data analyst, database administrator, database developer, data modeler, data scientist, business intelligence analyst, database manager, data warehouse manager, data architect, big data engineer, data scientist.

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READY TO APPLY?

 

  START DATE DEADLINE TO APPLY
SUMMER SESSION MAY APRIL 1
FALL SEMESTER AUGUST JULY 1
SPRING SEMESTER JANUARY OCTOBER 1
START YOUR APPLICATION NOW (NO APPLICATION FEE REQUIRED!)

OUR PRACTITIONER-DRIVEN TEACHING
WILL PROVIDE YOU A REAL-WORLD EXPERIENCE

Bintou Lingani, Ph.D.

[email protected]

Bintou Lingani is the chair of the Department of Business and Economics at Bay Atlantic university, Washington, DC. She graduated with a Doctorate degree in International Economics and Development in 2019 from Howard University. Her research interest focuses on International Trade and Economic Development in Sub-Saharan Africa and less developed Countries in general. Her teaching journey began when she earned a teaching assistantship while pursuing her master’s at Howard University and she continued to work in academia ever since. Bintou Lingani’s professional philosophy revolves around constant learning in an encouraging environment. She uses her positive attitude, her tireless energy, and her expertise to empower students to reach new heights.

Sean Michael Cox, Ph.D.

[email protected]

Sean Michael Cox, Ph.D., is the Chair of the Department of Political Science and International Relations at Bay Atlantic University. His area of academic expertise focuses on Comparative Politics and includes specializations in post-Soviet politics, Eastern European and Balkan Politics, Turkish politics, and US politics. Dr. Cox is a Senior Advisor at the Global Policy Institute, a Washington, D.C.-based economics and international affairs think tank. During his career, he has served as Primary Investigator on numerous projects funded by a variety of public and private organizations including USAID, the US Departments of Education and State, the European Commission, NATO, and a number of foundations.

Pipop Nuangpookka wearing glasses, a striped shirt, and a dark blazer, posing against a white background.

Dr. Pipop Nuangpookka

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Dr. Pipop Nuangpookka is the Chair of Information Management Science Program and Director of Distance Education at BAU. He started teaching in Computer Science, Information Technology, and Cybersecurity disciplines in 2007. His research interests are Non-Destructive Method of Detecting Hardware Attack, PII Security Controls, Web Server Protection, and Bilingual Translator Programming. He is a co-author of scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library, including “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection.

Oonah Jaja-Wachuku

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Oonah Jaja-Wachuku is the department chair of the General Education program at Bay Atlantic University. She is a double masters’ degree holder in the areas of International Business Management (MBA) and Multilingualism, Linguistics and Education (MA). She has over 10 years of teaching/instructing experience in different parts of the world. Oonah is passionate about teaching and learning and strives to bring creativity, new paradigms and processes to the practice of educating bright minds.
Ms. Jaja-Wachuku is a self-published author and blog writer – a reader, writer and lifelong learner.

Paolo von Schirach

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Paolo von Schirach was appointed President of the Global Policy Institute, GPI, in March 2016. He is also Professor of Political Science and International Relations at Bay Atlantic University BAU in Washington, DC. He served as Chair of PSIR from 2018 until June 2022. His GPI research and BAU teaching focus on contemporary world politics and economics, international trade, energy, competition policies, and the role of innovation in economics.

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