Advanced Diploma in Data Science & Artificial Intelligence

Program Overview

The Advanced Diploma in Data Science & Artificial Intelligence equips students with the skills to become junior data scientists. Graduates gain proficiency in data analytics, machine learning, and AI concepts, enabling them to apply their knowledge in industries such as finance, marketing, and healthcare. The program emphasizes practical skills through hands-on training and real-world applications, preparing students for successful careers in the growing field of data science.

Program Outline

Degree Overview:

Overview:

The Advanced Diploma in Data Science & Artificial Intelligence program aims to equip students with the practical skills necessary for a career as a junior data scientist in real-time work environments. Graduates gain proficiency in writing, modifying, integrating, and testing computer codes for data analytics, data science, and data processing applications. They are equipped to apply their knowledge and skills in industries that heavily rely on analytics, such as finance, marketing, engineering, project management, supply chain, and healthcare systems.

Objectives:

• Provide students with a comprehensive understanding of data science, machine learning, and artificial intelligence concepts.
• Develop students' analytical, problem-solving, and decision-making abilities.
• Enhance students' proficiency in data visualization techniques and tools.
• Equip students with the skills to effectively collect, prepare, and manage large volumes of data.
• Prepare students for successful careers in the growing field of data science.

Outline:

Program Content:

• Statistical Analysis
• Data Analytics
• Machine Learning
• Artificial Intelligence
• Data Visualization
• Data Management
• Cloud Computing
• Big Data Analytics
• Data Mining

Course Schedule:

• CompTIA A+
• Statistics for Data Analytics and Python
• Python Programming
• R for Data Scientist
• Machine Learning and Artificial Intelligence
• Introduction to ERP
• Big Data and Hadoop Developer
• Personal Development and Effective Communications

Assessment:

The assessment methods used in the program include:

• Quizzes
• Assignments
• Projects
• Exams
The assessment criteria focus on students' understanding of course concepts, analytical abilities, problem-solving skills, and written and oral communication skills.

Teaching:

The program is delivered through a combination of instructor-led classroom training, online learning, and hybrid modes. Faculty members are experienced professionals with extensive knowledge and expertise in data science and artificial intelligence. The program employs a hands-on approach, with emphasis on practical skills and real-world applications.

Careers:

Potential Career Paths:

• Data Analyst
• Statistician
• Data Scientist
• AI Engineer
• Machine Learning Engineer

Opportunities and Outcomes:

• Median income of $83K+ per annum
• High demand for data science professionals across various industries
• Opportunities for career advancement and specialization

Tuition Fees and Payment Information:

Tuition Local $15,936 / Intl $18,186 CAD