Machine Learning (BS)

The B.S. in Machine Learning equips students with foundational knowledge in artificial intelligence, neural networks, and deep learning. The curriculum emphasizes the development of programming skills, statistical modeling, and algorithm design to create advanced machine learning systems.

Hands-on projects and internships allow students to apply what they’ve learned, from natural language processing to predictive analytics. Graduates are well-prepared to tackle challenges in automation, robotics, and big data analytics, making them valuable contributors to the evolving tech landscape.

Graduates of the Machine Learning program can pursue roles such as machine learning engineers, AI specialists, data scientists, and robotics programmers. These professionals are in demand across industries like healthcare, autonomous vehicles, e-commerce, and cloud computing, where innovation drives business success.

According to the U.S. Bureau of Labor Statistics (BLS), the median annual wage for data scientists, a common career outcome for graduates of the Southern New Hampshire University Machine Learning (BS) program, was $112,590 in May 2024.

Source - https://www.bls.gov/ooh/math/data-scientists.htm

The B.S. in Machine Learning is a four-year program for full-time students. Those with transfer credits or part-time enrollment may adjust their timelines accordingly, with the opportunity to accelerate through summer courses.

To enroll in the B.S. in Machine Learning program, applicants must meet these criteria:

• A high school diploma or GED equivalent.
• Official transcripts from prior academic institutions.
• Proficiency in mathematics, including calculus or statistics, is recommended.
• Submission of an online application form.

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