Online Master of Science in Artificial Intelligence

Texas A&M University's distance Master of Science in Artificial Intelligence degree is intended for students who want to pursue graduate-level coursework remotely. This degree is not taught on campus.

This program is 30 credit hours, and prospective students can expect to spend 1.5 to 2.5 years to complete it, depending on the course load they sign up for each semester.

Applications to the program can be submitted for a start in the fall or spring semester.

The default advisory chair is our department's graduate advisor. You are not required to meet with your advisory chair before filing your degree plan. 

Please visit our frequently asked questions page for more information about our distance programs.

A total of at least 30 credit hours should satisfy the requirements.

Prerequisites

• CSE Prerequisite:
  • CSCE 411 (Algorithms) or equivalent, and
• STAT Prerequisite (one of the following):
  • STAT 436 - Multivariate Analysis and Statistical Learning
  • STAT 438 - Bayesian Statistics
  • STAT 601 - Statistical Analysis
  • STAT 608 - Regression Analysis
  • STAT 638 - Introduction to Applied Bayesian Methods

If not fulfilled, students must take the necessary remedial courses, which will count toward the free elective hours.

If you are an incoming student and do not have these courses or an equivalent, take them in your first semester. The courses will be applied toward your elective hours.


Core Courses


Six hours (two courses) of the following core courses list are required and must be passed with a grade of B or better.

• CSCE 625 Artificial Intelligence
• CSCE 633 Machine Learning

Prescribed Electives


Fifteen hours (five courses) are required from the following list.

• CSCE 636 Deep Learning
• CSCE 630 Speech Processing
• CSCE 631 Intelligent Agents
• CSCE 635 AI Robotics
• CSCE 638 Natural Language Processing: Foundations and Techniques
• CSCE 642 Deep Reinforcement Learning
• CSCE 666 Pattern Analysis
• CSCE 676 Data Mining and Analysis
• CSCE 752 Robotics and Spatial Intelligence
• CSCE 753 Computer Vision and Robot Perception
• Additional special topics (CSCE 689) courses may be designated among the prescribed AI electives.  (The Graduate Advising office will maintain a list of these.)

Electives


Nine hours (generally 3 courses) of additional graded graduate level (numbered 600 or higher) can be chosen as electives.

• Three (3) credits of CSCE 685 (Directed Studies) may be used. Other than that, no 681, 684, 685, or 691 credits may be used.
• Elective courses should be chosen to support the AI focus of the degree, either through AI-related topics or an application area of AI. Elective courses are subject to approval by the graduate advising office.
• 400-level courses may be taken as part of these elective courses only if being used to meet the prerequisite requirement. Students needing the CSE prerequisite should generally take CSCE 629 instead of CSCE 411.

Courses That Cannot Be Used on Any Degree Plan

• In CSCE, we do not allow 601, 602, 603, 701, 705, 706, 707, 708 and 709.
• In ECEN, we do not allow 714 and 749.
• In STAT, we do not allow 624 and 654.
• In MATH, we do not allow 679.
• In CYBR, we do not allow 601.
• In ISTM, we do not allow 601.
• Any course that contains material required of our undergraduate computer science (CPSC) or computer engineering majors.
• CSCE undergraduate courses 481, 482 and 483.

Other Degree Plan Information

• If you took CSCE 410 while a Texas A&M undergraduate and received an A you meet the breadth Systems requirements. You will not list the course on the graduate degree plan. Instead, take an additional CSCE graded graduate course. You should not take CSCE 611.
• If you took CSCE 411 while a Texas A&M undergraduate and received an A you meet the breadth Theory requirements. You will not list the course on the graduate degree plan. Instead, take an additional CSCE graded graduate course. You should not take CSCE 629.
• If you took CSCE 420 while a Texas A&M undergraduate and received a B or better, you should not take CSCE 625.  Instead, take an additional prescribed elective class.
• If you took CSCE 421 while a Texas A&M undergraduate and received a B or better, you should not take CSCE 633.  Instead, take an additional prescribed elective class.
• If you took CSCE 431 while a Texas A&M undergraduate and received an A you meet the breadth Software requirements. You will not list the course on the graduate degree plan. Instead, take an additional CSCE graded graduate course. You should not take CSCE 606.
• For stacked courses: If you have credit for the undergraduate class, you cannot get credit for the graduate class, except via Fast Track. (See additional stacked courses information at the bottom of this page.)

Stacked Courses

When a graduate and undergraduate course is stacked, graduate students must take the graduate course in the stacked pair. If there are seats in the undergraduate section but not in the graduate section, you should contact the graduate advising office to request that a seat be reallocated. Reallocation can be requested but will have to be approved. Not all reallocations may be approved.

CSCE 684 Hours

• Any international student who wishes to go on curricular practical training must have one credit hour for each semester they are on the internship of CSCE 684 on their degree plan. Any CSCE 684 hours are in addition to the required total credit hours of the degree plan.
• If you are an international student, we recommend you place at least one credit hour of CSCE 684 on your degree plan when you submit it. This way, if you receive an internship offer, you will not be rushing to have 684 added to your degree plan.
• Domestic students do not need to register when they are on an internship. However, if they are gone for a year without registering, they must apply for a leave of absence. Otherwise, they will need to reapply for admission.
• The CSCE department does not allow unpaid internships. 

For additional information and clarification, please see the graduate catalog and the department’s graduate program webpage.