Many engineering and science organizations rely heavily on computing and mathematical models. This program is designed to draw on the traditional strengths of the Department to prepare students for such positions.

Suggested course sequence

Selected courses:

Differential Equations
Symbolic Programming Methods
Principles of Real Analysis I
Numerical Methods

Suggested course sequence
Sophomore Year: Fall		Units
03-121	Modern Biology	9
21-201	Undergraduate Colloquium	1
21-241	Matrix Algebra	9
21-259	Calculus in Three Dimensions	9
xx-xxx	Humanities Elective	9
xx-xxx	Elective	9
		46
	Spring
21-201	Undergraduate Colloquium	1
21-228	Discrete Mathematics (or 21-301 or 21-484)	9
21-260	Differential Equations	9
xx-xxx	Distribution Course	9
xx-xxx	Humanities Elective	9
xx-xxx	Elective	9
		46
Junior Year: Fall
21-320	Symbolic Programming Methods	9
21-355	Principles of Real Analysis I	9
36-225	Introduction to Probability and Statistics I (or 21-325)	9
xx-xxx	Humanities Elective	9
xx-xxx	Elective	9
		45
	Spring
21-356	Principles of Real Analysis II (or 21-357)	9
21-369	Numerical Methods	9
xx-xxx	Distribution Course	9
xx-xxx	Humanities Elective	9
xx-xxx	Elective	9
		45
Senior Year: Fall
xx-xxx	Distribution Course	9
xx-xxx	Distribution Course	9
xx-xxx	Humanities Elective	9
xx-xxx	Elective	9
xx-xxx	Elective	9
		45
	Spring
xx-xxx	Distribution Course	9
xx-xxx	Humanities Elective	9
xx-xxx	Elective	9
xx-xxx	Elective	9
xx-xxx	Elective	9
		45

Five of the following distribution courses:

	15-211 Fundamental Structures of Computer Science I
	21-292 Operations Research I
	21-370 Mathematics of Finance
	21-371 Functions of a Complex Variable
	21-372 Partial Differential Equations
	21-380 Introduction to Mathematical Modeling
	21-393 Operations Research II
	21-476 Ordinary Differential Equations
	21-470 Selected Topics in Analysis
	21-660 Introduction to Numerical Analysis I
	21-690 Methods of Optimization
	21-xxx Mathematical Science Elective
	36-410 Introduction to Probability Models

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