Applied Statistics and Data Analysis Concentration
Academic Advisor: https://math.njit.edu/students/undergraduate/advisors.php
B.S. in Mathematical Sciences, Applied Statistics and Data Analysis Concentration
(120 credits)
| First Year | ||
|---|---|---|
| 1st Semester | Credits | |
| MATH 111 | Calculus I | 4 |
| CS 100 | Roadmap to Computing | 3 |
| ENGL 101 | English Composition: Introduction to Academic Writing | 3 |
| PHYS 111 | Physics I | 3 |
| PHYS 111A | Physics I Lab | 1 |
| FYS SEM | First-Year Student Seminar | 0 |
| Term Credits | 14 | |
| 2nd Semester | ||
| MATH 112 | Calculus II | 4 |
| CS 113 | Introduction to Computer Science I | 3 |
| PHYS 121 | Physics II | 3 |
| PHYS 121A | Physics II Lab | 1 |
| ENGL 102 | English Composition: Introduction to Writing for Research | 3 |
| Term Credits | 14 | |
| Second Year | ||
| 1st Semester | ||
| MATH 213 | Calculus III B | 4 |
| MATH 227 | Mathematical Modeling | 3 |
| MATH 244 | Introduction to Probability Theory | 3 |
| CS 114 | Introduction to Computer Science II | 3 |
| History and Humanities GER 200 level | 3 | |
| Term Credits | 16 | |
| 2nd Semester | ||
| MATH 222 | Differential Equations | 4 |
| MATH 341 | Statistical Methods II | 3 |
| MATH 337 | Linear Algebra | 3 |
| CS 280 | Programming Language Concepts | 3 |
| Social Science GER | 3 | |
| Term Credits | 16 | |
| Third Year | ||
| 1st Semester | ||
| MATH 340 | Applied Numerical Methods | 3 |
| MATH 344 | Regression Analysis | 3 |
| MATH 391 | Numerical Linear Algebra | 3 |
| CS 331 | Database System Design & Mgmt | 3 |
| Technical Elective | 3 | |
| Term Credits | 15 | |
| 2nd Semester | ||
| MATH 345 | Multivariate Distributions | 3 |
| MATH 461 | Introduction to Statistical Computing with SAS and R | 3 |
| MATH 478 | Stat Methods in Data Sci | 3 |
| Free Elective | 3 | |
| History and Humanities GER 300+ level | 3 | |
| Term Credits | 15 | |
| Fourth Year | ||
| 1st Semester | ||
| MATH 480 | Introductory Mathematical Analysis | 3 |
| MATH 448 | Stochastic Simulation | 3 |
| MATH 462 | Statistics and Statistical Learning (Capstone I) | 3 |
| Technical Elective | 3 | |
| History and Humanities GER 300+ level | 3 | |
| Term Credits | 15 | |
| 2nd Semester | ||
| MATH 447 | Applied Time Series Analysis | 3 |
| MATH 463 | Statistics and Statistical Learning (Capstone II) | 3 |
| MATH 477 | Stochastic Processes | 3 |
| Technical Elective | 3 | |
| Humanities and Social Science Senior Seminar GER | 3 | |
| Term Credits | 15 | |
| Total Credits | 120 | |
General Education Requirements and Electives
All students are required to satisfy the General Education Requirements (GER). All GER courses and additional mathematics, technical, and free electives are to be selected in consultation with a faculty advisor in the Department of Mathematical Sciences. Refer to the General Education Requirements section of this catalog for further information on electives.
Co-op Courses
In Mathematical Sciences, the co-op courses, MATH 310 Co-op Work Experience I and MATH 410 Co-op Work Experience II, bear degree credit and count as technical or free electives, subject to approval by a faculty advisor in the Department of Mathematical Sciences.
Electives
All electives should be selected after consultation with a Mathematical Sciences faculty advisor. Any mathematics course numbered 331 or above may be used as a mathematics, technical, or free elective. Any NJIT course at or above the 100 level may be used as a technical or free elective; except a technical elective is a course that has a significant mathematical and/or scientific content. All elective courses are to be chosen in consultation with a faculty advisor in the Department of Mathematical Sciences.
This curriculum represents the maximum number of credits per semester for which a student is advised to register. A full-time credit load is 12 credits. First-year students are placed in a curriculum that positions them for success which may result in additional time needed to complete curriculum requirements. Continuing students should consult with their academic advisor to determine the appropriate credit load.
