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Program Curriculum

The current curriculum contains regular courses only. Each course is worth 3 credit hours. The program requires a total of 10 courses (30 credit hours) The grade for each course must be at least C. The description of the courses can be found in the Graduate Catalog.

For more information, please, contact the MS director Dr. Roman Shterenberg at This email address is being protected from spambots. You need JavaScript enabled to view it..

Year I - Fall

Course Number

Name

Required

MA 540

Advanced Calculus I

Yes

MA 534

Algebra I: Linear

Yes

MA 585

Introduction to Probability

Yes

Year I - Spring

Course Number

Name

Required

Prerequisites

MA 541

Advanced Calculus II

Yes

MA 540. Minimum grade: C

MA 568

Numerical Analysis I

Yes

N/A

MA 586 or MA 554

Mathematical Statistics I or Intermediate Differential Equations

No

MA 252. Minimum grade: C

Applied Oriented Courses

Year I - Summer

Course Number

Name

Required

Prerequisites

MA 637

Graph Theory and Combinatorics

No

N/A

MA 588

Mathematical Statistics II

No

MA 585. Minimum grade: C

MA 566

Introduction to Optimization

No

N/A

Year II - Fall

Course Number

Name

Required

Prerequisites

MA 589

Machine Learning and big data analysis

No

MA 586. Minimum grade: C

MA 560

Scientific Programming

No

N/A

MA 569

Numerical Analysis II

No

MA 568. Minimum Grade: C


Traditional Oriented Courses

Year I - Summer

Course Number

Name

Required

Prerequisites

MA 637

Graph Theory and Combinatorics

No

N/A

MA 544

Vector Analysis

No

N/A

MA 545

Complex Analysis

No

N/A

Year II - Fall

Course Number

Name

Required

Prerequisites

MA 555

Partial Differential Equations I

No

N/A

MA 586

Mathematical Statistics

No

MA 585. Minimum grade: C

MA 572

Geometry I

No

N/A