University of Niagara Falls Canada
Master of Data Analytics
Niagara Falls, Canada
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline
EARLIEST START DATE
Apr 2024
TUITION FEES
CAD 48,000 *
STUDY FORMAT
Distance Learning, On-Campus
* international students fees | domestic students fees: 24000 CAD
Introduction
The Master of Data Analytics (MDA) program at the University of Niagara Falls Canada, is designed to prepare graduates for high-demand careers in data analysis.
This 48-credit program can be completed in five 12-week terms, with an on-campus delivery option. The curriculum focuses on real-world applications, offering core training in the data science lifecycle and the choice of three learning tracks: Marketing Analytics, Operations Analytics and General Analytics.
Graduates will be equipped to help organizations make data-driven decisions, driving innovation and increasing organizational value.
Quick Facts
- High-demand field: Addresses the growing need for skilled data analysts in Canada, especially in Ontario.
- Comprehensive curriculum: Provides core training in the Data Science Lifecycle and real-world applications.
- Three learning tracks: Students can choose from Marketing Analytics, Operations Analytics or General Analytics specializations.
- Practical experience: Includes internships and capstone projects to reinforce learning and develop problem-solving skills.
- Diverse career opportunities: Graduates can pursue roles such as big data specialist, policy analyst or data visualization specialist.
Admissions
Scholarships and Funding
The Office of the Registrar has dedicated over $5 million in scholarships, awards, and financial support to graduate and undergraduate students. As an institution, University of Niagara Falls Canada believes in making quality higher education as accessible as possible and is invested in up-skilling the future with career ready degrees. Awards are offered based on registration and academic criteria and are divided into two categories, “Entrance” and “Academic.” You may qualify for multiple awards however you may only receive one award per category.
Curriculum
Year 1
Term 1
- Principles of Analytics (3 credits)
- SQL Database (3 credits)
- Marketing Analytics (3 credits)
- Data Analytics Case Study 1 (1 credit)
Term 2
- Predictive Analytics (3 credits)
- Data Warehousing and Visualization (3 credits)
- Operations Analytics (3 credits)
- Data Analytics Case Study 2 (1 credit)
Term 3
- Prescriptive Analytics (3 credits)
- Advanced Data Visualization (3 credits)
- Python for Data Analysis (3 credits)
- Data Analytics Case Study 3 (1 credit)
Term 4
- Term Break
Year 2
Term 5
- Agile Software Development (3 credits)
- Speciality Elective (choose one):
- Advanced Marketing Analytics Internship (6 credits)
- Advanced Operations Analytics Internship (6 credits)
- Advanced Analytics Internship (6 credits)
Term 6
- Capstone Project (9 credits)
Career Opportunities
Graduates of the MDA program can pursue various career paths in the field of data analytics, such as:
- Data Analysts
- Business Intelligence Analysts
- Data Science Specialists
- Machine Learning Engineers
- Marketing Analysts
- Operations Analysts
These roles can be found in a diverse range of industries, including manufacturing, logistics, finance, healthcare and e-commerce.
Labour Market Overview
With over 30,000 active data science-related job listings in North America alone on Indeed, the world’s largest employment website, the demand for data analysts is clear.
Employers seek professionals with specific tool competencies and skills in SQL, Excel, Python and Tableau. Opportunities are also available in consulting services, where analysts with strong communication skills and a high level of competency in the data science lifecycle are highly sought after. The MDA program prepares graduates to meet this demand and excel in their careers.