Mathematics Graduate Programs
The Mathematics department offers three graduate programs:
M.S. Applied Mathematics-Data Analytics
Search any internet job board and you will find hundreds of employment listings that specifically require an MS degree in mathematics or related field. Data mining, Matlab and R, financial engineering, machine learning, statistical modeling and optimization are some of the desirable characteristics of successful candidates for these exciting job opportunities.
The M.S. in Applied Mathematics-Data Analytics program is based on an innovative curriculum of mathematics content courses chosen to address very important needs by industry. Designed for students with a strong background in mathematics and a major in a quantitative field who wish to prepare for careers in business, industry or government, the program curriculum provides students with experience with computational software packages, statistical methodology and modeling, data-mining and data analytics, and operations research.
Students also will have the opportunity to take part in a capstone experience involving either research or an internship.
Two additional options within the Applied Mathematics-Data Analytics program are available:
- 5-year B.S. or B.A. in Mathematics and M.S. Applied Mathematics-Data Analytics: This accelerated program allows motivated majors in mathematics the opportunity to complete both the bachelors and masters degrees in 5 years of study.
- 18-credit post-baccalaureate certificate in Applied Mathematics-Data Analytics: This program is for students who already hold a bachelor's degree in a quantitative discipline with a strong background in mathematics.
Required Graduate Courses for the M.S. in Applied Mathematics-Data Analytics:
- MATG 611 – Computational Methods for Analytics
- MATG 630 – Probability and Statistics for Analytics
- MATG 633 – Advanced Statistical Inference
- MATG 635 – Probabilistic Models
- MATG 655 – Operations Research
- MATG 656 – Non-Linear Optimization
- MATG 658 – Data Mining
- MATG 671 – Applied Linear Algebra
- plus 6 additional elective credits of graduate mathematics (MATG 600-799, selected courses in the School of Business)
This program is designed for in-service, secondary mathematics teachers who want further study in the discipline, teachers who aspire to become master teachers in their own school district, and for those who want to teach mathematics in a community college.
This program may be completed on either a full-time or part-time basis. Qualified undergraduates may begin graduate classes as upper classmen while at Manhattan College, thereby enabling completion of the M.S. degree in a single postgraduate year.
Required Graduate Courses for the M.S. in Mathematics:
- MATG 632 - Statistical Inference or MATG 633 - Seminar for Mathematics Education
- MATG 642 - Number Theory
- MATG 688 - Analysis II or MATG 690 - Complex Analysis
- MATG 671 - Linear Algebra II or MATG 678 Algebra II
- MATG 791 - Graduate Colloquium and MATG 792 Graduate Colloquium
- MATG 699 - Research Seminar
- plus 12 additional elective credits of graduate mathematics (MATG 600-799)
This program allows students to earn both a bachelor's degree and a master's degree in five years. The program is designed for Manhattan College undergraduate students in the School of Education who are seeking certification to become a mathematics teacher for grades 7-12. The program leads to professional certification in Adolescence Education Mathematics upon completion of three years of teaching experience.
After completing requirements for both the B.S. and initial certification in their fourth year of study, students pursue a fifth year of graduate mathematics courses in the School of Science. Students also participate in departmental seminars and colloquia.See course catalog for degree requirements and courses »