School of Science
Dr. Janet McShane
Interim Dean, School of Science
The mission of the School of Science is to help our students to see, to know and so, to act.
To see the invisible world through the lens of a microscope or telescope; to see in the extended laboratory of New York City and the problems, opportunities and rich culture of urban life; to see — with a global perspective — the world grown both smaller through communications and more complex through cultural differences; and to see their place and responsibilities in a world of conflicting moral and ethical claims: this is our mission.
To know by developing the faculty of critical thinking and clear writing and speaking; to know by acquiring the research techniques to find information rapidly and efficiently; to know in cooperation with teachers who pay individual attention to students; to know not only the network of the core curriculum with courses in humanities, natural science, behavioral and social science; and to know not only the how but also the why: this is our mission.
And finally, to act, to do, to follow in a long line of Manhattan graduates who have made a difference in a wide variety of careers in the public as well as the private sector, and to bring into the world of the future a sense of integrity, honesty and values supported and strengthened at Manhattan College: this is our mission.
The School of Science currently offers one MS degree through the Department of Computer Science and two different MS degrees through the Department of Mathematics - an MS in Applied Mathematics - Data Analytics and an MS in Mathematics.
The School of Science also offers an Advanced Certificate in Applied Mathematics - Data Analytics.
The MS in Computer Science program is designed for students interested in pursuing computer science theoretically as well as practically at an advanced level.
Overall, there is a large and continuously growing demand for master’s level computer science professionals in the State of New York and across the country. The program will extend well beyond knowledge acquired at the undergraduate level. The program will prepare students to enter the computer-related industry directly after graduation or to continue their educational path to a Ph.D. The curriculum is designed to allow students to develop their skills needed to achieve leadership positions in industry, business, and government or related fields, where computer science has become an important tool.
The coursework in the program represents a realistic balance between fundamental computer science theory and cutting edge modern computing techniques and technologies. Students will master methods of algorithm design and their analysis, networking, databases, and operating systems. Students will have also an excellent opportunity to explore cutting edge areas, which are currently in high demand, such as cryptography and security, cloud computing, neural networks, and machine learning, artificial intelligence, embedded systems, Linux kernel programming, image analysis, and data mining.
Students entering the program should have at least 18 credits of undergraduate computing courses, including at least 6 credits of computer programming, data structures, operating systems, software engineering, and at least one senior-level elective course in a modern computing area. They should also have at least 12 credits of mathematics, which must include at least 6 credits of calculus and may include discrete mathematics, probability/statistics, linear algebra, and numerical methods.
This program is also available as a seamless 5-year BS-MS.
The MS in Applied Mathematics-Data Analytics program is designed for students with a strong background in mathematics and a major in a quantitative field who wish to prepare for careers in industry, business, government, or for further study at the doctoral level. It is a particularly good fit for students who want to transition into data analytics and data science careers. The curriculum emphasizes the application of mathematics and programming with open-ended course projects. The courses combine theory and application striving to give students practical tools with the understanding to make them useful.
Applicants should possess a degree in a STEM or quantitative discipline, some exposure to computer programming, and have the desire to learn mathematical and computational methods to apply them to real-world problems. The prerequisites for the program are multi-variable calculus, probability or calculus-based statistics, linear algebra, and a programming class.
Students will typically complete the program in 3 semesters plus 1 internship or research project during summer. Students may pursue the program part-time and courses are scheduled to accommodate students who work full time.
This program is also available as a seamless 5-year BA or BS-MS.
The MS in Mathematics program is for individuals who hope to pursue a Ph.D. in Mathematics or a related discipline, or who wish to teach mathematics in a community college. Students in the program will complete course work in foundational areas of pure mathematics: linear and abstract algebra, real and complex analysis, topology, and probability-statistics. Electives may be chosen to deepen the applicant’s knowledge in preparation for study at the Ph.D. level, for breath including applications, and may include research. A thesis option is available for those who wish to do research.
Entering students should have seen, at a minimum, Calculus I-II-III, a Proof-theoretic Linear Algebra, a Probability or Statistics class, Algebra, and Analysis. A major in mathematics is desirable. A course in programming is recommended.
This program may be completed on either a full-time or a part-time basis. Qualified undergraduates may begin graduate classes as upperclassmen, thereby enabling the completion of the MS degree in a single postgraduate year plus two summers.
Additional information on any of these programs can be found at the department links above.