Students who successfully complete an INTO Mason Graduate Pathway or Graduate Bridge Program in Data Analytics Engineering are assured progression to a Mason graduate degree program upon submission of additional required application materials.
Upon successful completion of an INTO Mason Pathway program and meeting university requirements for graduate admission, you may enter your next semester of graduate study at George Mason University. This transition from an INTO Mason Pathway program to a university degree program is called 'progression'.
Key Information
*Price shown is for indicative purposes, please check with institution
19 August 2024, 13 January 2025
INTO George Mason University
4400 University Drive, MS 6D11,
FAIRFAX,
Virginia,
22030, United States
*Price shown is for indicative purposes, please check with institution
19 August 2024, 13 January 2025
INTO George Mason University
4400 University Drive, MS 6D11,
FAIRFAX,
Virginia,
22030, United States
Age requirements: 17 years and above
1-Semester
English language requirements: TOEFL iBT 75, IELTS 6.0, PTEA 52, Duolingo 110, TOEFL Essentials 7.5, or Completion of AE Core and OCS Level 6.
Academic requirements: 4 yr undergrad degree in engineering, business, computer science, statistics, mathematics or information technology. 2.75 undergrad GPA. Applicants may demonstrate strong work experience with data or analytics instead of related degree
2-Semester
English language requirements: TOEFL iBT 65, IELTS 5.5, PTEA 45, Duolingo 100, TOEFL Essentials 6.5, or Completion of AE Core and OCS Level 5.
Academic requirements: 4 yr undergrad degree in engineering, business, computer science, statistics, mathematics or information technology. 2.75 undergrad GPA. Applicants may demonstrate strong work experience with data or analytics instead of related degree.
2 Semester: Bridge
English Language Requirements: TOEFL iBT 75, IELTS 6.0, PTEA 52, Duolingo 110, TOEFL Essentials 7.5, or Completion of AE Core and OCS Level 6.
Academic Requirements: Three-year undergraduate degree or equivalent in engineering, business, computer science, statisticss, mathematics or information technology. 2.75 undergraduate GPA equivalent. Applicants may demonstrate strong work experience with data or analytics instead of related degree.
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