Program Overview

Advanced Data Analytics (IAA)

Program Overview

The Advanced Data Analytics (IAA) program is designed to provide students with a comprehensive understanding of data analytics and its applications in various fields.

Program Details

• The program covers a wide range of topics, including data mining, machine learning, and statistical analysis.
  • Subtopics include:
    • Data visualization and communication
    • Data warehousing and business intelligence
    • Big data analytics and cloud computing
• The program aims to equip students with the skills and knowledge necessary to analyze complex data sets and make informed decisions.

Admission Criteria

• Applicants must have a bachelor's degree in a relevant field, such as computer science, mathematics, or statistics.
  • Additional requirements include:
    • A minimum GPA of 3.0
    • Letters of recommendation from academic or professional references
    • A personal statement outlining research interests and career goals

Tuition Fees

• The tuition fees for the program are competitive and vary depending on the student's residency status.
  • Estimated costs include:
    • Tuition: $10,000 - $20,000 per semester
    • Fees: $1,000 - $2,000 per semester

Research Areas

• The program offers a range of research areas, including:
  • Data mining and machine learning
  • Statistical analysis and modeling
  • Data visualization and communication
• Students have the opportunity to work with experienced faculty members on research projects and contribute to the development of new knowledge in the field.

Program Requirements

• The program requires students to complete a minimum of 30 credits, including:
  • Core courses: 12 credits
  • Elective courses: 12 credits
  • Research project: 6 credits
• Students must also pass a comprehensive exam and defend their research project to graduate from the program.