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MS in Artificial Intelligence

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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 Artificial Intelligence 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 Artificial Intelligence 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. Understand the major concepts and theories of economics and finance.
2. Undertake quantitative data analysis using the latest technology and software.
3. Think critically about socioeconomic and financial issues in the diverse global context of the contemporary world.
4. Be able to clearly express their ideas in writing and through oral communication.

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COURSES IN THE DEGREE

ARTIFFICIAL INTELLIGENCE ENGINEERING:
COURSE LISTING

Core Requirements: 21 Credits (7 Courses)

Course Code Course Pre-requisites Credits
BGDA 511 Big Data Analytics CMPS 514 3
BGDA 513 Artificial Intelligence BGDA 511 3
BGDA 515 Fundamental of Deep Learning BGDA 511 3
CAPS 621 Capstone Projects All Cores 3
CMPS 514 Management Information Systems   3
CMPS 516 Models and Algorithms in AI Engineering BGDA 511 3
CMPS 530 Machine Learning and Pattern Recognition CMPS 524 or CMPS 516 3

Electives: 15 Credits (Choose 5 Courses)

Course Code Course Pre-requisites Credits
BGDA 510 Data Mining CMPS 514 3
CMPS 515 Network Security & Cryptography CMPS 514 3
CMPS 520 Database Design Concepts   3
 CMPS 524 Computer Networks and Mobile Communications CMPS 514 3
CMPS 525 Cloud Computing and Infrastructure   3
CMPS 560 Object-Oriented Software Development   3
CMPS 565 Cloud Data Storage Management   3
CMPS 570 Software Design and Architecture CMPS 564 3
CMPS 610 Natural Language Processing CMPS 516 3
CMPS 612 Image Processing and Computer Visualization CMPS 516 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 career positions such as AI Engineer, Machine Learning Engineer, Analytics Research Scientist, Data Scientist Engineer, etc. The market for the workforce in the industry, commercially and academically, is continually growing worldwide, which places our graduates in very high demand. BAU is located in one of the largest areas for a collection of technology companies, which graduates will tremendously benefit from while they pursue their degrees for experiences and after graduation for job opportunities.

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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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