Program Overview

Combined Bachelor's/Master's Computer Science and Artificial Intelligence Degrees

Program Overview

The Department of Computer Science and Engineering offers a combined Bachelor of Science (B.S.) and Master of Science (M.S.) degree in Computer Science and Artificial Intelligence. This program allows students to accelerate their education and gain in-demand skills in deep learning, machine learning, data science, and feature engineering.

Program Type

• Major
• Graduate Academic Certificate

Format

• On Campus

Estimated Time to Complete

• 5-6 years

Credit Hours

• 153

Program Description

The Bachelor of Science degree in Computer Science is a professional degree designed to prepare students for a career in the technology and application of computers. The graduate track program allows students to take graduate coursework while earning their bachelor's degree, saving time and money on their education. The Artificial Intelligence program is designed to meet the needs of students and industry, providing marketable skills in programming, data analysis, problem-solving, and communication.

Concentration Areas

• Machine Learning
• Biomedical Engineering
• Autonomous Systems

Marketable Skills

• Analyze the complexity of an algorithm
• Use data structures in software design
• Compare algorithm merits
• Teamwork
• Learn a programming language
• Code using AI programming skills
• Design, collect, and analyze data
• Solve problems with creative solutions
• Quickly grasp new concepts
• Collaborate and communicate in teams

Program Highlights

• Classes and research are conducted at Discovery Park, a 300-acre research facility located five miles north of the main campus.
• The department supports numerous centers and research laboratories that offer unlimited possibilities for study and research.
• UNT is located in Denton, TX, a college town that is part of the Dallas-Fort Worth metropolitan area.
• The Living Learning Community brings together engineering students who live on campus to enhance academic and social experiences.
• Teaching and research assistantships provide support for many graduate students.

Courses

• Foundations of Computing (3 hrs)
• Data Structures and Algorithms (3 hrs)
• Software Development for Artificial Intelligence (3 hrs)
• Feature Engineering (3 hrs)
• Pattern Recognition (3 hrs)
• Computer Science I (3 hrs)

Research Areas

• Machine Learning
• Biomedical Engineering
• Autonomous Systems

Career Opportunities

• Computer Science and Engineering careers that solve societal problems, advance technology, and improve the quality of life for people everywhere.