
14 hours ago
Masters Program
Computer Science -Artificial Intelligence ,
Department of Computer Science
MS in Computer Science -Artificial Intelligence
at the prestigious University of Southern California is an opportunity for students to enhance their
knowledge, skills, and career through innovation and research.
Being a renowned university, University of Southern California
receives enough funds to ensure the best education facilities
for its students across all programs.
This post-graduate program offered on a full time basis has a
well-designed curriculum that perfectly blends theory and
practical learning. It prepares the students for their professional
life to reach new heights of success.
MS in Computer Science -Artificial Intelligence at
USC is ranked globally by estimated
organisations. Such recognition speaks volumes about the course’s
importance and effectiveness in the present scenario.
The top-notch faculty, modern facilities, and the aura of
creativity and innovation in the USC
campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers.
Overall, a MS in Computer Science -Artificial Intelligence at
University of Southern California is an excellent opportunity to grow into a
learned professional and bring new developments in the world.
Course
Rank
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Program duration
18 Months
Degree type
Computer Science
Course credits
32
Delivery type
Full time
Delivery medium
On Campus
Tuition fees
Annual tuition fees
$1,539
Full course fees (18 months)
$2,308
Admissions
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Application Fee
$90
Deadlines
Application Deadline Fall (Final Deadline)
Sep 15, 2022
Application Deadline Spring (Final Deadline)
Sep 15, 2022
Application pre-requisites
Test score requirements
Minimum English Scores
TOEFL
90
IELTS
6.5
PTE
61
Students
Average profile of admits
323
101
Yocketer profiles
Vk
Business Analytics
Fall 2021
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Akash Agrawal
Computer Science
Fall 2021
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Akash Agrawal
Computer Science
Fall 2021
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Poorvi B.Prakash
Computer Science and Engineering
Fall 2020
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Shams_Abbas Naqvi
Civil Engineering
Fall 2019
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Class profile
% of International students
83%
Total no. of students in the class
2570
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