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UG

Data Science Minor

The Department of Mathematics and Computer Science is dedicated to the preparation of students for a dynamic future. Our faculty develop curricula that will challenge your curiosity, employ your inventive facilities, and allow you to enjoy the triumph of discovery. We follow Euclid's rigorous approach to mathematics while exploring modern topics like sustainability.

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  4. Data Science Minor

Our faculty are active researchers who provide an outstanding learning environment for students. Their research interests are diverse and include pure mathematics, applied mathematics, computer science, functional analysis, algebra, differential geometry, and topology. 

Degree Type
Minor
Area of Interest
Computing & Technology
Associated Colleges or Schools
Program Location
  • Queens Campus
Required Credit Hours
16

Courses

Required (10-11 credits):

Calculus:  MTH 1220 or MTH 1730
Statistics:  MTH 1020, MTH 1210, MTH 3810, PSY 2030, SOC 2610, or equivalent
CSC 1380 Introduction to Computer and Data Science

Electives (6 credits):

MTH 1040 Mathematical Models for Decision Making
CSC 2490/MTH 2490 Databases
CSC 2600/MTH 3350 Machine Learning, Neural Networks and Deep Learning
CSC 2630/MTH 3390 Introduction to Artificial Intelligence
MTH 3310 Design and Analysis of Algorithms
MTH 3320 Introduction to Machine Learning
MTH 3330 Data Security and Cryptography
MTH 3340 Foundations of Data Science
MTH 3350 Advanced Machine Learning, Neural Networks, and Deep Learning
MTH 3970 Topics in Applied Mathematics
MTH 4970 Independent Research in Statistics and Its Applications
MTH 4980 Independent Research in Machine Learning and Artificial Intelligence

Only academic programs approved by NYSED are eligible for federal and state aid: NYS Inventory of Registered Programs http://www.nysed.gov/heds/IRPSL1.html.  Minors are not recognized by NYSED therefore associated courses are only eligible for federal or state aid consideration when required by a major or when also used to satisfy a core or general elective requirement.

Contact Us

David Rosenthal, Ph.D.

Professor and Chair

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