Advance Your Career in the Growing Fields of Network Engineering and Artificial Intelligence
Both network engineering and artificial intelligence offer incredible employment opportunities. The Bureau of Labor Statistics expects network engineering- and computer science-related jobs to increase by at least 4% between 2019 and 2029 as more firms invest in their digital infrastructure. And as artificial intelligence continues to grow across various industries, so will the need for AI professionals.
Whether you pursue the Master of Science in Network Engineering or the Master of Science in Computer Science with AI Specialization, SMU Lyle will help prepare you for the most in-demand jobs in a growing industry.
Network Engineering Job Prospects
| Job Title | Demand | Median Salary |
|---|---|---|
| Computer Information and Systems Manager | High | $146,360 |
| Computer Network Architect | High | $112,680 |
| Electrical Engineer | High | $101,250 |
| Database Administrator | High | $93,750 |
| Computer Systems Analyst | High | $90,920 |
Artificial Intelligence Job Prospects
| Job Title | Demand | Median Salary |
|---|---|---|
| Machine Learning Engineer | High | $149,971 |
| AI Research Scientist | High | $106,732 |
| Software Developer | High | $76,526 |
| Robotics Scientist | High | $83,754 |
| Business Intelligence Developer | High | $101,527 |
Why Get a Master's Degree in the Engineering Field?
While you can certainly get your foot in the door in computer science and network engineering with a bachelor’s degree, moving into many managerial roles requires advanced education — usually in the form of a master’s degree. Additionally, employees with a computer science master’s degree make, on average, $30,000 more than their peers who have only a bachelor’s degree.
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