MI

Bachelor's in AI
On-Campus

Lawrence Technological University

BS in Computer Science Concentration in Artificial Intelligence

  • Southfield
About This Program

This program pairs a rigorous computer science core with specialized training in AI breakthroughs. It features project-driven learning and substantial programming assignments in state-of-the-art labs.

Student Reviews
What You'll Learn

Students learn foundational AI concepts, including knowledge representation, perception, and reasoning. They gain hands-on experience in machine learning, deep learning, and developing software for intelligent autonomous robotics.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Typical Curriculum Structure
The curriculum includes software development for AI, digital signal processing, and pattern recognition. Typical themes cover autonomous vehicle development, sensor fusion, evolutionary computation, and the ethics of AI.
Typical Course Topics
1. Introduction to Artificial Intelligence 2. Machine Learning Algorithms 3. Deep Learning and Neural Networks 4. Computer Vision 5. Natural Language Processing 6. Reinforcement Learning
Program Specializations:
Machine Learning
Deep Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive applicants. Related high school coursework in mathematics, physics, or programming strengthens applications.
Academic Requirements (Typical)

β€’ Degree Required: High School Diploma
β€’ GRE/GMAT: Not Required
β€’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Application Materials (Typical)

β€’ Statement of Purpose: Required
β€’ Letters of Recommendation: 2–3
β€’ Resume: Optional
β€’ Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

Career Opportunities in AI

Start AI Engineer career in Cross-Industry AI with machine learning focus

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
AI Software Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Software Developer 3. Data Scientist 4. Computer Vision Specialist
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, and NVIDIA.
Program Details
Duration
  • 4 Year
Tuition
  • 174,000
Format
On-Campus
Specializations
Machine Learning
Deep Learning