-
Code Your Career
Hands-on, experiential learning opportunities prepare students to build applications, systems, and information flow in modern computing environments. Students gain expertise in critical concepts including Machine Learning, Artificial Intelligence, Data Mining, and Modern Computing.
By combining theoretical knowledge with practical application, students will build the skills necessary to thrive in the evolving tech industry.
Focus on Artificial Intelligence & Machine Learning
Artificial Intelligence & Machine Learning have revolutionized the way we live and work. As more and more organizations — from business to healthcare to government — find new uses for this exciting technology, the demand for computer scientists trained in their application continues to skyrocket.
Wentworth’s Master of Science in Applied Computer Science, with a concentration in Artificial Intelligence & Machine Learning, will give you the skills you need to advance your career and stand out in today’s competitive job market.
-
Wentworth Institute of Technology is accredited by the New England Commission of Higher Education (formerly the Commission on Institutions of Higher Education of the New England Association of Schools and Colleges, Inc.).
-
The Master of Science in Applied Computer Science is available in a 4+1 specifically for computer science or closely related majors at Wentworth students completing eight credits of graduate level courses during their senior spring and summer semesters, a 2-Year program which is a more traditional masters degree for students with a baccalaureate degree in computer science or related field, and a 3-Year program which prepares students who have little or no programming experience for entry into the 2-Year program, further allowing any student regardless of their background, to pursue a Master of Science in Applied Computer Science degree.
View the Course Catalog below for more program requirements.
Catalog
4 +1 Masters of Science in Applied Computer Science: Requirements which include two courses ( 8 credits) completed during senior year and one additional graduate year starting in the fall. 32 credits
Course List Course Title Credits Spring Semester: Undergraduate Senior Year COMP5050 MODERN COMPUTING 4 Summer Semester: Undergraduate Senior Year COMP5700 CLASSICAL ARTIFICIAL INTELLIGENCE 4 Grade of B or higher required in undergraduate courses to satisfy requirements in the Master of Science in Applied Computer Science Year One: Fall COMP5705 DATA MINING 3 or COMP5710 PRINCIPLES OF MACHINE LEARNING AI Elective 2 3 AI Elective 2 3 COMP7500 THESIS I 3 Spring AI Elective 2 3 ACS Elective 3 3 General Elective 1 3 COMP7550 THESIS II 3 Total Credits 32 2-Year Program Master of Science in Applied Computer Science: Requirements for students with a baccalaureate degree in computer science, or related field.
35 credits
Course List Course Title Credits Year 1: Fall COMP5050 MODERN COMPUTING 4 MATH5700 MATHEMATICS FOR MACHINE LEARNING 3 General Elective 1 3 Spring COMP5700 CLASSICAL ARTIFICIAL INTELLIGENCE 4 AI Elective 2 3 ACS Elective 3 3 Year 2: Fall COMP5705 DATA MINING 3 or COMP5710 PRINCIPLES OF MACHINE LEARNING AI Elective 2 3 COMP7500 THESIS I 3 Spring AI Elective 2 3 COMP7550 THESIS II 3 Total Credits 35 3-Year Program Master of Science in Applied Computer Science: Requirements for students with any baccalaureate degree to earn a Masters of Science in Applied Computer Science. 55 credits
Course List Course Title Credits Year 1: Fall COMP5900 PROGRAMMING FUNDAMENTALS 6 MATH5200 METHODS OF CALCULUS 4 Spring COMP5925 DATA STRUCTURES & ALGORITHMS 6 MATH5750 APPLIED STATISTICS 4 Year 2: Fall COMP5050 MODERN COMPUTING 4 MATH5700 MATHEMATICS FOR MACHINE LEARNING 3 General Elective 1 3 Spring COMP5700 CLASSICAL ARTIFICIAL INTELLIGENCE 4 AI Elective 2 3 ACS Elective 3 3 Year 3: Fall COMP5705 DATA MINING 3 or COMP5710 PRINCIPLES OF MACHINE LEARNING AI Elective 2 3 COMP7500 THESIS I 3 Spring AI Elective 2 3 COMP7550 THESIS II 3 Total Credits 55 1 Any graduate level course
2 Choose from AI Electives: COMP5750 EMBEDDED ARTIFICIAL INTELLIGENCE, COMP5775 ADVANCED PARALLEL COMPUTING, COMP6760 COMPUTER VISION,* COMP7800 GRADUATE SPECIAL TOPICS IN APPLIED COMPUTER SCIENCE *requires school approval
3 Any gradute level course with a COMP prefix or MATH5710 Machine Learning
-
Students who graduate from the Applied Computer Science program work at Software Engineers, Software Developers, Database Administrators, Machine Learning Engineers, Systems Architects, and Technology Officers. View the Career Outcomes Survey Data below for more information.
4+1 Option
Interested in getting your M.S. in Applied Computer Science in only one year (two semesters) beyond graduation? Apply to the Double Leopard accelerated degree program as an enrolled undergraduate and fast-track your graduate education and career. You can even carry over your Merit Scholarship!
