Purpose

The 36-credit specialization in Artificial Intelligence and Machine Learning in the Master of Science program in Computer Science is designed to equip students with the necessary theoretical fundamentals as well as knowledge about cutting-edge application tools to solve data science problems.

Students are introduced to and trained in the mathematical methods of data science, computational data analysis, machine learning and deep learning, artificial intelligence, applications in big data, and data engineering services in the cloud. 

Program Objectives

For all students in the M.S. program in Computer Science:

1. Acquire a working knowledge of the theoretical foundations of Computer Science
2. Develop critical thinking, problem-solving and analytical skills

Additionally, for students in the Artificial Intelligence and Machine Learning specialization: 

Program Goals: 
3. Develop an in-depth understanding of the key technologies in computer science

Student Learning Outcomes (SLO’s)

Students who graduate with a Master’s in Computer Science will be able to:

1. Communicate Computer Science concepts, designs, and solutions effectively and professionally
2. Develop efficient and effective algorithmic solutions to real-world problems
3. Analyze and evaluate the complexity and computability of solutions to real-world problem​

Additionally, for students in the Artificial Intelligence and Machine Learning specialization:

   4. Mine, analyze, and visualize data
   5. Solve real-world problems by applying principles of computing intelligence and data analytics

Required Courses

• CISC 520 -  Database Management Systems Credit(s): 3
• CISC 530 -  Math Methods Data Analysis Credit(s): 3
• CISC 540 -  Computational Data Analysis Credit(s): 3
• CISC 550 -  Machine Learning Credit(s): 3
• CISC 560 -  Big Data Credit(s): 3
• CISC 580 -  Computer Vision Credit(s): 3
• CISC 585 -  Natural Language Processing Credit(s): 3
• CISC 610 -  DevOps and MLOps Credit(s): 3
• CISC 620 -  Data Engineering Svcs on Cloud Credit(s): 3

Capstone

• CISC 602 -  CS Data Science Project Credit(s): 3
• CISC 702 -  CS Capstone II Credit(s): 3
• CISC 703 -  CS Capstone III Credit(s): 3

Electives

Students can choose one or more of the following courses with the explicit permission of the Program Director.

• CISC 565 -  Soc. Media & Large-Scale Data Credit(s): 3
• CISC 590 -  Internship in Computer Science Credit(s): 3
• CISC 595 -  Special Topics in Comp Sci Credit(s): 3
• CISC 599 -  Ind. Study in Computer Science Credit(s): 1-3
• CISC 600 -  Computer Science Thesis Credit(s): 3