MS in Artificial Intelligence

Entry requirements

Postgraduate

Standard GPP: 2-Quarter

• TOEFL (iBT)     70 overall
• IELTS    6.0 overall
• Pearson (PTE)   48-52
• Pearson Versant  Not Accepted
• Duolingo   95
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;

         Up to 12 credits toward degree

Extended GPP: 3-Quarter

• TOEFL (iBT)     60 overall
• IELTS    5.5 overall
• Pearson (PTE)   44-47
• Pearson Versant  NOT ACCEPTED
• Duolingo   90
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;

       Up to 12 credits toward degree

Pre-Sessional English: 1-Quarter Extended GGP

• TOEFL (iBT)     55 overall
• IELTS    5.0 overall
• Pearson (PTE)   42-43
• Pearson Versant  61-64 (no subscore below 37)
• Duolingo   85
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;

     Up to 12 credits toward degree

Pre-Sessional English: 2-Quarter Extended GGP

• TOEFL (iBT)     50 overall
• IELTS    4.5 overall
• Pearson (PTE)   37-41
• Pearson Versant  58-60 (no subscore below 35)
• Duolingo   80
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;

     Up to 12 credits toward degree

Pre-Sessional English: 3-Quarter Extended GGP

• TOEFL (iBT)     40 overall
• IELTS    4.0 overall
• Pearson (PTE)   30-36
• Pearson Versant  47-57
• Duolingo   70
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;

    Up to 12 credits toward degree

Pre-Sessional English: 4-Quarter Extended GGP

• TOEFL (iBT)     32 overall
• IELTS    3.5 overall
• Pearson (PTE)   Not Accepted
• Pearson Versant  36-46
• Duolingo   65
• Graduate GPA Requirements: GGP: 2.8 for Kellstadt Graduate School of Business (2.5 for MS Business Analytics); 2.5 for College of Computing and Digital Media;

     Up to 12 credits toward degree

Direct Admission

College of Computing and Digital Media

• TOEFL (iBT) 80 overall
• IELTS 6.5
• Pearson (PTE) 53
• Pearson Versant Not Accepted
• Duolingo 110
• Graduate GPA Requirements: Direct Admission: 2.5 for College of Computing and Digital Media (3.0 for MS Computational Finance, Creative Producing, Data Science & Predictive Analytics); 2.5 for all other programs , Media (3.0 for MS Computational Finance, Creative Producing, Data Science & Predictive Analytics); 2.5 for all other programs

Curriculum Requirements

Introductory Courses
No Introductory Course may be substituted for any other course at any level.

Introductory courses may be waived for any of the following conditions:

• The student has the appropriate course work to satisfy an Introductory Course.
• The student has appropriate and verified professional experience to satisfy an Introductory Course.
• The student passes a Graduate Assessment Examination (GAE) in the Introductory Course area.

CSC 412 Tools and Techniques for Computational Analysis
IT 403 Statistics and Data Analysis
CSC 400 Discrete Structures for Computer Science
CSC 401 Introduction to Programming
CSC 402 Data Structures I
CSC 403 Data Structures II

Required Courses
CSC 480 Artificial Intelligence I
CSC 580 Artificial Intelligence II
CSC 421 Applied Algorithms and Structures
CSC 481 Introduction to Image Processing
DSC 540 Advanced Machine Learning
CSC 583 Natural Language Processing
CSC 484 Ethics in Artificial Intelligence
CSC 587 Cognitive Science
CSC 578 Neural Networks and Deep Learning

Capstone Requirement
Choose one courses from the following list:
CSC 675 Capstone in Artificial Intelligence
CSC 695 Master's Research

A student who is working on a research project and has made an original contribution to their area of study may choose to complete a Master's Thesis. Additional information and requirements for School of Computing students pursuing the thesis option can be found on the SoC Master's Thesis Guideline page.

Major Electives

Choose two courses from the following list:

DSC 450 Database Processing for Large-Scale Analytics
CSC 555 Mining Big Data
CSC 482 Applied Image Analysis
CSC 528 Computer Vision
CSEC 440 Information Security Management (Formerly CNS 440)
DSC 480 Social Network Analysis
DSC 478 Programming Machine Learning Applications
CSC 575 Intelligent Information Retrieval
CSC 577 Recommender Systems
CMNS 549 Special Topics in Organizational Communication *
CSC 475 Introduction to Robotics
CSC 594 Topics in Artificial Intelligence
CSC 458 Symbolic Programming
*For CMNS 549, only acceptable topic is Core Business Communication Functions and Skills

Open Electives
Student must complete 1 advisor-approved graduate course from the School of Computing in the range of 421-699.

Degree Requirements
Students in this degree program must meet the following requirements
Complete a minimum of 52 graduate credit hours in addition to any required introductory courses of the designated degree program.
Complete all graduate courses and requirements listed in the designated degree program.

• Earn a grade of C- or better in all courses of the designated degree program.
• Maintain a cumulative GPA of 2.5 or higher.
• Students pursuing a second (or more) graduate degree may not double count or retake any course that applied toward the completion of a prior graduate degree. If a required course in the second degree was already completed and applied toward a previous degree, the student must meet with a faculty advisor to discuss a new course to be completed and substituted in the new degree. This rule also applies to cross-listed courses, which are considered to be the same course but offered under different subjects.
• Students pursuing a second master's degree must complete a minimum of 52 graduate credit hours beyond their first designated degree program in addition to any required introductory courses in their second designated degree program.
• Students with a GPA of 3.9 or higher will graduate with distinction.

Graduate 

• Extended GGP (3 quarter) $22,269 CDM (College of Computing and Digital Media)  &  $24,921 KGSB (Kellstadt Graduate School of Business) 
• Standard GGP (2 quarter) $18,566 CDM (College of Computing and Digital Media) &  $21,212 KGSB (Kellstadt Graduate School of Business) 
• Pre-Sessional English (1-2 Quarters) $3,703 per quarter 
• Direct Admission (varies by program) $21,859 - $35,597 
• Estimated Room, Board & Fees $11,251 - $16,877 
• Graduate Pathway Scholarship available upto $4,000 
• Graduate Direct Admission Scholarships available upto $5,000 KGSB (Kellstadt Graduate School of Business) 

*Direct Admission Scholarship is available in each year.