Students
Tuition Fee
USD 48,000
Per course
Start Date
Medium of studying
On campus
Duration
Details
Program Details
Degree
Masters
Major
Building Materials | Cartography/Land Surveying | Costume Design | Design | Directing | Exhibition Design
Area of study
Arts | Business and Administration | Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 48,000
About Program

Program Overview


Degree Overview:

  • The Master of Data Analytics (MDA) program at the University of Niagara Falls Canada aims to prepare graduates for high-demand careers in data analysis.
  • The program 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.

Outline:

    Year 1:

  • Term 1:

    • DA500 Principles of Analytics (3 credits)
    • CS500 SQL Database (3 credits)
    • BI500 Marketing Analytics (3 credits)
    • DA501 Data Analytics Case Study 1 (1 credit)
  • Term 2:

    • DA510 Predictive Analytics (3 credits)
    • CS510 Data Warehousing and Visualization (3 credits)
    • BI510 Operations Analytics (3 credits)
    • DA511 Data Analytics Case Study 2 (1 credit)
  • Term 3:

    • DA600 Prescriptive Analytics (3 credits)
    • CS600 Advanced Data Visualization (3 credits)
    • CS610 Python for Data Analysis (3 credits)
    • DA611 Data Analytics Case Study 3 (1 credit)
  • Term 4:

    • Term Break
  • Year 2:

  • Term 5:

    • CS620 Agile Software Development (3 credits)
    • Specialty Elective (choose one):
    • BI621 Advanced Marketing Analytics Internship (6 credits)
    • BI622 Advanced Operations Analytics Internship (6 credits)
    • BI623 Advanced Analytics Internship (6 credits)
  • Term 6:

    • DA699 Capstone Project (9 credits)

Assessment:

  • Assessment methods may include exams, assignments, case studies, and a capstone project.
  • Criteria for assessment may include accuracy, completeness, critical thinking, problem-solving, and communication skills.

Teaching:

  • Teaching methods may include lectures, tutorials, case studies, group projects, and internships.
  • Faculty members are experienced professionals with expertise in data analytics and related fields.
  • The program utilizes a unique pedagogical approach that emphasizes hands-on learning and real-world applications.

Accreditation:

  • The University of Niagara Falls Canada has been granted a consent by the Minister of Colleges and Universities to offer this program for a five-year term starting October 14, 2022.

Careers:

  • 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.

    Tuition Fees and Payment Information:

    NA

    Degree Duration/Length:

    2 years

    Program Type:

    Full time

    Type of Education:

    On campus
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