Computing and Machine Learning St. John's University

Overview

The B.Sc. in Computing and Machine Learning at St. John's University provides students with the essential technological proficiency required to navigate the complexities of the 21st century. This comprehensive programme integrates foundational knowledge in computing with advanced applications in artificial intelligence and programming. Students gain the practical skills necessary to implement sophisticated algorithms across various industrial sectors.

The curriculum is designed to establish a robust knowledge base in applied mathematics and computational theory. By engaging with this rigorous academic framework, learners prepare for specialised roles in the rapidly evolving tech industry.

Why Computing and Machine Learning at St. John's University?

Students at the institution benefit from the guidance of internationally recognised scholar-teacher faculty within the Math and Computer Science Department. The university provides access to the Machine Learning Institute, which serves as a hub for exploring current topics and participating in high-level seminars. Undergraduates often have the unique opportunity to collaborate with professors on cutting-edge research projects.

The campus facilities include extensive computer labs equipped with over 300 Intel workstations and high-end Macintosh computers, all connected to a top-ranked wireless network. Furthermore, the university's location in New York City offers unparalleled access to a dynamic professional ecosystem. Students may also qualify for prestigious science-related honour societies, such as the Roger Bacon Scientific Honor Society or Pi Mu Epsilon.

Tuition Fee Breakdown

• International fee: USD 53980 per year
• National fee: USD 53980 per year
• Local fee: USD 53980 per year

Visit the Fees and Funding section for a breakdown in your local currency.

Syllabus

The curriculum requires the completion of 120 credits, covering core computer science and mathematics topics. Modules may include:

• Computer Science
• Data Structures
• Algorithms
• Machine Learning
• Calculus
• Linear Algebra
• Probability and Statistics
• Discrete Mathematics
• Software Engineering

Careers with Computing and Machine Learning

Graduates are well-positioned to enter a job market where the demand for computer and information research professionals is growing significantly faster than the national average. The rise of big data across all economic sectors has created a specific need for experts who can build adaptive computer programs. Students are prepared for roles that involve developing autonomous systems and managing complex data architectures.

The university's Career Services department maintains strong ties with major employers throughout the New York area, facilitating connections in various specialised fields. Graduates typically find meaningful employment in industries ranging from finance and healthcare to dedicated technology firms. The programme also offers a pathway for those interested in pursuing further academic study in applied and computational mathematics.