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MS in Artificial Intelligence

This is a STEM-designated program! Want to learn more? Click here for detailed information.

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PROGRAM OVERVIEW

 

COURSE DELIVERY METHOD DURATION TOTAL CREDITS TUITION PER YEAR*
ON CAMPUS 2 YEARS 36 $22,230
* For full-time course load students

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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 scientific theories and methodologies of AI and Machine Learning trends used in designing and implementing AI-based processes and products.
  2. Apply the foundation and models of machine learning and deep learning to create AI solutions that can overcome digital challenges in various domains.
  3. Utilize various AI and Machine Learning tools for analyzing, inventing, and tuning AI Algorithms for new and existing digital products.
  4. Develop reliable and scalable AI-based applications using the latest methods and technologies to ensure usability, availability, integrity, and security.
  5. Communicate effectively orally and in writing with technical and non-technical stakeholders regarding computing solutions, project management, and ethical considerations to information systems decisions.
  6. Assess technical skills and knowledge to pursue various professional technology certifications globally recognizable in the industry, such as Certified Artificial Intelligence Engineer (CAIE™), AIE™ Certification, etc.
  7. Understand the role of responsible citizenship in the legitimate use of technology and digital data.
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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 623 Internship 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 BDGA 522
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

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

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PROGRAM BENEFITS

BAU’s Master of Science in AI Engineering leads to career paths in digital product development for various industries. The primary benefit of this program is that students gain theoretical knowledge, practical elements, and hands-on experiences in understanding and building computing algorithms used for artificial intelligence and machine learning, which will provide them with intensive skills to pursue various career positions in AI computing technology.

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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 OCTOBER 1
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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 wearing glasses and a blue shirt, smiling with arms crossed.

Sean Michael Cox, Ph.D.

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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 wearing glasses, a green sweater, and a lanyard, smiling against a white background.

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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