Atlantic Business College

Artificial Intelligence & Business Analytics

Artificial Intelligence & Business Analytics

The Artificial Intelligence & Business Analytics diploma program (60 weeks) offers the opportunity to become a skilled member of the AI profession.
The Diploma in Artificial Intelligence & Business Analytics is designed to equip students with foundational and specialized knowledge in Artificial Intelligence (AI) and its application in business settings. The program combines technical AI skills with business analytics, preparing graduates for leadership roles in data-driven business strategy and optimization.

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.

• Graduates of this program may pursue roles such as:
• AI Business Analyst
• Data Analyst / Data Scientist
• Machine Learning Engineer (Business-focused)
• Business Operations Analyst
• Marketing / Finance Analytics Specialist

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 & Business Analytics

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)
Students focus on business analytics applications.
1. Predictive Analytics for Business
2. AI in Finance & Marketing
3. Operations & Supply Chain Analytics with AI
4. Advanced Machine Learning Applications
5. Business Decision-Making with AI
Semester 3 – Capstone Project (Weeks 56–60)


Students complete a practical AI project in business analytics, applying skills from core and
specialization courses to solve a real-world problem.

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