The Diploma in Hospitality and Tourism Management with Co-op program focuses on the latest development in the hospitality and tourism industry. Students will learn the highest industry standard practices and procedures to effectively manage operations in a hospitality and tourism environment. This program emphasizes the development of professional competencies such as effective communication skills, good customer service skills, leadership, teamwork, and other relevant professionalism topics related to the industry.

Studying the Data Engineering and Analytics Co-op Program will allow you to become the ideal candidate for a junior/intermediate level role in a modern software development organization. This program is designed for students looking to pursue a rewarding career in the field of Information Technology as a highly qualified Data Analyst.

Develop your skills and access a wide range of career opportunities as a much sought-after Data Analyst. Once you have completed your qualification, you will also be able to confidently present your knowledge and skills to potential employers.

Information Systems Management 

In this course, students will be introduced into the Information Technology Organizational Structure and become familiar with the different I.T. business units that make up an enterprise-level project and their respective roles. Students will gain an understanding of the effective collaboration and coordination of these different business units and roles in order to drive project objectives to the solution. This course will introduce students to different Software Development Lifecycle models and frameworks and how projects are organized and initiated within each model. This course will introduce the concept of business requirement interpretation and analysis and how they translate into a strategic objective for a project. Students will become familiar with issue tracking and reporting as well as become proficient in the Application Lifecycle Management (ALM) and Quality Center backtracking system software.

Introduction to Linux Administration 

This course is an introduction to Linux and Unix System Administration. Students will be introduced to a variety of topics including the underlying system architecture, command-line interface administration, device and filesystem management, networking, common administration practices and bash shell scripting.

Relational Database Systems and SQL

In this course, students learn the tools and processes for data modelling in Relational Database Management Systems (RDBMS) and the Structured Query Language, SQL, to define and manipulate data.

Introduction to Data Structures, Design and Analysis

This course will develop the foundation skills and knowledge required for the design, implementation and analysis of data structures.

Business Analysis and Systems Design

In this course, students will learn the foundation of business analysis.

Probability and Statistics Fundamentals 

In this course, students will learn the main concept and methodology of statistics and the main concepts of probability.

Statistics for Data Analysis 

In this course, students will learn a programming language R that was created for statistical analysis. Will be able to apply multiple linear regression model and its components and approaches. ANOVA table. Correlations.

Applied Multivariate Statistical Analyst

In this course, students will learn a programming language R that was created for statistical analysis. Will be able to apply multiple linear regression model and its components and approaches. ANOVA table. Correlations.

Machine Learning

In this course, students will learn about artificial intelligence.

Data Warehouse (EDW) Concepts 

In this course, students will learn about artificial intelligence. In this course, students will learn how to design warehouses and create data integration workflows from multiple sources.

Visual Analysis for Business Intelligence (BI) with Tableau

In this course, students will learn about data visualization.

Business Intelligence (BI) with SSIS, SSAS, SSRS

In this course, students will learn about SQL Server services.

Advanced Topics in Data Analysis: Big Data, Data Mining, Cloud Computing

In this course, students will learn the main concepts of Big Data, Data Mining and Cloud Computing.

Security and Privacy Issues in Data Analytics

In this course, students will learn about the security and privacy issues of big data.

Employment Preparation Training

The purpose of this course is to prepare students for the employment upon completion of the program. This course will ready students through resume crafting, portfolio development, job search strategies, interview preparation and salary negotiations as well as career development training