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MS in Big Data Analytics

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PROGRAM OVERVIEW

 

COURSE DELIVERY METHOD DURATION TOTAL CREDITS TUITION PER YEAR
ON CAMPUS 2 YEARS 36 $21,600

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DEGREE DETAILS

The Master of Science in Big Data Analytics degree is earned by completing the program course requirements of 36 credit hours (12 courses of 3 credit hours), of which 21 credits are core courses and 15 credits are elective courses. To qualify for the Master of Science in Cyber Security degree, students must meet all core and concentration elective credit requirements.

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 36

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 50% of credits earned at accredited institutions.

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PROGRAM OUTCOMES

1. Organize, manipulate, and summarize data in various formats.
2. Convert a data analytic problem and related information into proper mathematical representation and select appropriate methodologies for analysis based on attributes of the available datasets.
3. Implement security measures and ethical practices for collection and storage of data.
4. Transfer (and transform) data from different platforms into usable contexts.
5. Communicate and summarize results of data analysis in written, oral and visual form.
6. Select the appropriate methods and tools for data analysis in specific organizational contexts.

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COURSES IN THE DEGREE

Students must earn a total of 36 college credit hours to receive this degree. Of these credit hours, 21 credits are core courses, and 15 elective credits.

In addition, students must meet the following criteria:

  • Students enrolled in the graduate program must maintain a Cumulative Grade Point Average (CGPA) of at least 3.0 (B) out of 4.0 and earn a minimum grade of not less than 2.7 (B-) out of 4.0 on all courses to qualify to graduate.
  • The Maximum Time Frame (MTF) for completion of the Master’s program is 60 credits.
  • A graduate student may transfer up to 6 credit hours earned at accredited institutions.

BIG DATA ANALYTICS:
COURSE LISTING

Core Requirements: 21 Credits (7 Courses)

Course Code Course Name Pre Requisite Credit
BGDA 501 Introduction to Big Data   3
BGDA 510 Data Mining CMPS 514 3
BGDA 511 Big Data and Analytics CMPS 514 3
BGDA 522 Applied Statistics   3
BGDA 555 Business Intelligence BGDA 522 3
CAPS 621 Capstone Project All Cores 3
CMPS 514 Management Information Systems   3

Electives: 15 Credits (Student must choose 5 courses)

Course Code Course Name Pre Requisite Credit
BGDA 513 Artificial Intelligence BGDA 511 3
BGDA 521 Technology Management   3
BGDA 550 Big Data and Hadoop Environment BGDA 511 3
BGDA 552 Big Data Analytics and Cloud Computing BGDA 511 3
CMPS 515 Network Security & Cryptography CMPS 514 3
CMPS 517 Computer Forensics CMPS 514 3
CMPS 524 Computer Networks and Mobile Communications CMPS 514 3
CMPS 530 Machine Learning and Pattern Recognition CMPS 524 3
CMPS 564 Information Security Management CMPS 515 3
MKTG 615 Marketing Analytics BGDA 555 3

PROGRAM BENEFITS

Bay Atlantic University offers a number of benefits and services to help our students succeed. Student Services offers various career preparation and personal development opportunities, including writing, speaking, and academic workshops, diverse clubs, and frequent social events. Our unique location in Downtown Washington, D.C., allows us to offer academic excursions to some of the most important political, historical, and cultural sites in the country. Students have the opportunity to live in the Island Condos student housing complex in Brookland, Washington, D.C., and have access to a school shuttle bus and WMATA U-Pass card to travel around the region quickly and affordably. For more information about the many benefits available at Bay Atlantic University, please visit bau.edu/student-services.

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CAREER OPPORTUNITIES

The program will 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, and 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 NOVEMBER 1
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OUR PRACTITIONER-DRIVEN TEACHING
WILL PROVIDE YOU A REAL-WORLD EXPERIENCE

Perliter Walters-Gilliam

Perliter Walters-Gilliam is the Chair of the Business Department at BAU and an accreditation professional who has conducted over 300 visits to 13 countries and more than 30 states. Ms. Walters-Gilliam has been leading, conducting, guiding, and evaluating institutions on the core requirements of seeking and maintaining institutional accreditation. She has met and counseled with various ministries of education in different educational systems. Her scope of expertise includes training and development, accreditation compliance, Standards review for accrediting agencies, and recognition applications.

Sean Michael Cox, Ph.D.

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.

Dr. Pipop Nuangpookka

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

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

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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