Data Science, AS

Program Code: Data Science-AS

Program Description

The Associates of Science in Data Science is a general transfer degree program designed for students who are planning to transfer to a baccalaureate-level institution.  This degree will also provide employment opportunities for student upon completion.  The Associate of Science degree in Data Science includes skills in mathematics, science, data literacy and analysis, programming, and general education for transfer to a four-year institution.

Data Science Career Map

Recommended Course Schedule

Plan of Study Grid
1st semesterUnits
DATA 101 Introduction to Data Science 3
MATH 126 Pre-Calculus I 3
ENG 101
Composition I
or Composition Enhanced
or Composition I for International and Multilingual Students
Fine Arts 3 3
Social Science/US & NV Constitutions 3 3
 Semester Total15
2nd semester
MATH 127 Pre-Calculus II 3
STAT 152 Introduction to Statistics 3
ENG 102
Composition II
or Composition II For International and Multilingual Students
Humanities 4 3
Elective 3
 Semester Total15
3rd semester
DATA 210
Introduction to SQL for Data Science (or)
or Database Concepts and SQL
CS 135 Computer Science I 3
MATH 181 Calculus I 4
Diversity 3 3
Science 3 3
 Semester Total16
4th semester
DATA 220 Research Methods for Data Science 3
MATH 182 Calculus II 4
CS 202 Computer Science II 3
Science 3 3
Elective 1
 Semester Total14
 Total Units60

See approved General Education list for the AA/AS Degree.


See program recommendations or requirements.

Program Requirements

AA/AS degrees are designed for students who plan to transfer to a four-year college or university.  

To earn an AA/AS degree, students must:

  1. Maintain a minimum cumulative GPA of 2.0 (see requirements for graduation.)
  2. Complete a minimum of 15 units within the college.
  3. Satisfy General Education requirements for the AA/AS.
  4. Have no financial or library obligation to the college.
English3 - 6
Must include ENG 102 or ENG 114 1
Fine Arts3
Visual Foundations
Recommended: 2
World Religions
Pre-Calculus I
Social Science3
Recommended: 2
Introduction to American Politics
Survey of U.S. Constitutional History
World Literature I
World Religions
U.S. and Nevada Constitutions[3]
Science courses (satisfied by degree requirements)[6]
CS 135Computer Science I3
CS 202Computer Science II3
DATA 101Introduction to Data Science3
STAT 152Introduction to Statistics3
DATA 210Introduction to SQL for Data Science3
or CIT 180 Database Concepts and SQL
DATA 220Research Methods for Data Science3
MATH 127Pre-Calculus II3
MATH 181Calculus I4
MATH 182Calculus II4
Select 7 units from transferable electives7
Business Speech Communications
Fundamentals of Speech Communications
Digital Design
Principles of Microeconomics
Calculus III
Differential Equations
Linear Algebra
Total Units60

If you place into ENG 102 or ENG 114 the additional 3 required units will become elective units.  Course sequence is based on placement into ENG 102.


Recommended courses also meet Diversity and U.S. & NV Constitution requirements.

Program Outcomes

Students completing the degree will:

PSLO1: Apply appropriate mathematical and scientific principles to Data Science applications.

PSLO2: Demonstrate proficiency in technical fundamentals to analyze and resolve technology problems.

PSLO3: Apply knowledge and skills to develop, interpret, and select appropriate technological processes.

PSLO4: Demonstrate the ability to assist in research, development, design, production, testing and various other functions associated with Data Science.

Transfer Agreements

AA/AS degrees are designed for students who plan to transfer to a four-year college or university. General information about general transfer agreements can be found on the Academic Advisement website. Students who intend to transfer to another college or university should speak with a TMCC Academic Advisor and consult with that institution. The transfer institution determines how TMCC courses will transfer. TMCC has agreements with the following institutions towards a bachelor's degree in the same or similar discipline.