Atlantic Business College

Artificial Intelligence & Healthcare Applications

Artificial Intelligence & Healthcare Applications

The Artificial Intelligence & Healthcare Applications diploma program (60 weeks) offers the opportunity
to become a skilled member of the AI profession.
The Diploma in Artificial Intelligence & Healthcare Applications is designed to provide students with
foundational AI skills and specialized knowledge in applying AI in healthcare settings. Students will learn
how AI technologies support medical decision-making, patient care, diagnostics, and healthcare
operations

INFORMATION:

Fredericton, NB, Canada.

Full-Time in person

The diploma certification in our college will leads to an Accounting and Payroll Administrator post. They collect, verify and process accounting and payroll information, determine pay and benefit entitlements for employees, maintain accurate accounting and payroll records, and provide this information within a department, company, or other establishment.

60 weeks
Total Instruction Hours: 1,320
Total Instruction Weeks: 55
Total Capstone Project Hours: 200
Total Capstone Project Weeks: 5

ADMISSION REQUIREMENTS:

Students must meet one (1) of the following admission requirements:

  • High school graduation or
  • GED or equivalent or
  • Mature student – Detailed resume outlining experience and qualifications must be
    submitted.

Admission Equivalent, Mature student, technical and language requirements:

  • Equivalent: Foreign credentials must be translated in English and assessed for Grade 12
    equivalency by a recognized organization, or
  • Mature student with a score of 11 or more on the Wonderlic SLE (or other MCU approved
    test) Note: CAT and CAST no longer approved.
    AND
  • NACC Technical Literacy Exam (passing score of 18), or
  • IELTS – Int’l English Language Testing Services – Minimum score of 6.0 with no subject test
    score lower than 5.5; or
  • TOEFL – Test of English as a Foreign Language Internet based test (IBT) – Overall 80 with
    the minimum in each component: Reading 20; Listening 20; Speaking 20; Writing 20.
  • AI Healthcare Analyst
  •  Medical Data Scientist
  • Clinical Decision Support Specialist
  • Health Informatics Specialist
  • AI Research Assistant in Healthcare

ScholarshipsCanada.com- This website provides a full range of scholarships available to Canadian residents who are attending post-secondary institutions.  The search list can be defined by province,  program and various other criteria.

http://www.scholarshipscanada.com

Management

TUITION & FEES:

Tuition Fees:  $14,495

Compulsory Fees:
Book Fees(estimated) $1,800
Student Fee $125

Provincial and Federal student loans are available to qualifying students.  For more information on applying for a student loan, New Brunswick residents should contact New Brunswick Student Financial Services at www.studentaid.gnb.ca. If you have not lived in New Brunswick for the past 12 months or if you are currently living in another province, please contact your provincial Student Financial Aid office.

Artificial Intelligence & Healthcare Applications

Artificial Intelligence & Healthcare Applications
Atlantic Business College requires that students enrolled in the Artificial Intelligence & Healthcare Applications. Program complete all the courses listed below. To receive a diploma a student must receive a minimum mark of 60 in all compulsory courses.
PROGRAM STRUCTURE


Semester 1 – Core Courses (Weeks 1–25)
1. Foundational AI & Ethical Practice
2. Python for Data Science
3. Data Analytics and Visualization
4. Core Machine Learning and Statistical Modeling


Semester 2 – Specialization Courses (Weeks 26–55)
Healthcare-focused specialization.
1. AI in Medical Diagnostics
2. Predictive Analytics in Healthcare
3. AI for Patient Care & Clinical Decision
4. Healthcare Operations & Process Optimization with
5. Advanced Machine Learning in Healthcare


Semester 3 – Capstone Project (Weeks 56–60)
Students complete a practical AI project applying their knowledge to a healthcare problem, such as predictive analytics for patient outcomes or AI-assisted diagnostics

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