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Bay Atlantic University

📍Washington, D.C.

Bay Atlantic University (BAU), located in the heart of Washington, D.C., is a private, accredited institution recognized for its globally focused, career-oriented education. BAU is accredited by the Middle States Commission on Higher Education (MSCHE) and authorized by the D.C. Higher Education Licensure Commission. Known for its commitment to STEM and experiential learning, BAU currently offers 7 STEM-designated hybrid CPT master’s programs—empowering international students to gain real-world experience while earning their degrees.

Bay Altalantics University CPT Policies

Program & Academic Structure
  • Academic Terms: Three semesters per year — Fall, Spring (14–16 weeks), and Summer (8 weeks, intensive).

  • Program Duration: Typically completed in 2 years for graduate programs.

On-Site/Residency Requirement
Twice per semester, from Friday to Sunday — once at the beginning of the semester and once on the weekend after the midterm.
International Travel During Semester
  • Generally not recommended as it may interfere with attendance.

  • If necessary, students must:

    • Get approval from their academic advisor.

    • Obtain travel authorization from the DSO.

    • Ensure their I-20 is signed and their visa/passport is valid.

Master of Business Administration (STEM)

The MBA program at BAU is a 2-year course totaling 36 credits. At BAU, you can choose to study online, on campus, or in a hybrid format. The tuition for the entire hybrid program is $22,860.

 Of these credit hours, 24 credits are core courses, and 12 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 54 credits.
  • A graduate student may transfer up to 9 credit hours earned at accredited institutions 

Course Details

Master of Science in Artificial Intelligence Engineering

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 (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.
  2. The Maximum Time Frame (MTF) for completion of the Master’s program is 54 credits.
  3. A graduate student may transfer up to 9 credit hours earned at accredited institutions.

Course Details

Master of Science in Big Data Analytics

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 Big Data Analytics 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 (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.
  2. The Maximum Time Frame (MTF) for completion of the Master’s program is 54 credits.
  3. A graduate student may transfer up to 9 credit hours earned at accredited institutions.
Course Details

Master of Science in Cloud Computing Engineering

The Master of Science in Cloud Computing Engineering 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 Cloud Computing Engineering 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 (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.
  2. The Maximum Time Frame (MTF) for completion of the Master’s program is 54 credits.
  3. A graduate student may transfer up to 9 credit hours earned at accredited institutions.
Course Details

Master of Science in Cyber Security

The Master of Science in Cyber Security 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 (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.
  2. The Maximum Time Frame (MTF) for completion of the Master’s program is 54 credits.
  3. A graduate student may transfer up to 9 credit hours earned at accredited institutions.

 

Course Details

Master of Science in Data Science & Public Policy

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Dual Master Program

The Dual Master Program is a three-year program 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 9 credits earned at accredited institutions.

Course Details

Enrollment Windows

Initial F1 Students: 3 months before the first day of the term.

 

Tuition, Scholarship & Payment Plans

CPTDog Got You a Great Tuition Discount! CPTDog Students Pay $800/credit! Regular Tuition $1270/credit.

Even Better! You get an extra 5% off your tuition if you pay the semester up front:

If you prefer to pay all your tuition balance upfront during the course registration dates, as shown below, you will receive a 5% discount on the semester tuition. An upfront payment discount is not available for late registrations.

  • Fall 2025: August 5 to August 15, 2025
  • Spring 2026: January 2 to January 16, 2026
  • Summer 2026: May 12 to May 22, 2026

Payment Plans Info: https://hubs.ly/Q03t3J4w0

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