Data Science & Analytics

Program Goals & Outcomes

The Associate of Science Degree Program provides students with the analytical skills and scientific knowledge to expand and apply critical thinking to all facets of learning. The expected program outcome is to provide a comprehensive lower-division education for students who plan to transfer to a baccalaureate degree program in data science.

Upon successful completion of this program, students will be able to:

  • Communicate using mathematical vocabulary and notation;
  • Produce mathematical representations to model quantitative relationships;
  • Prepare data for algorithm-based analysis; and
  • Produce concise reports using data analytics, while maintaining ethical standards.

GENERAL EDUCATION REQUIREMENTS (38 hours)

English Composition (6 hours)

  • ENGL 1113 English Composition I+
  • ENGL 1213 English Composition II+
    or ENGL 2053 Technical Report Writing+

U.S. History/U.S. Government (6 hours)

  • HIST 1483 U.S. History to 1877
    or HIST 1493 U.S. History Since 1877
  • POLS 1113 American Federal Government

Sciences (9 hours) – one must include lab

Students must earn a “C” or better in these courses to be eligible for graduation.

See Science Electives below.

Humanities (6 hours)

  • PHIL 2113 Introduction to Logic & Critical Thinking+

See courses listed in the College Catalog.

Mathematics (8-14 hours)

Students must earn a “C” or better in these courses to be eligible for graduation.

  • *MATH 1914 Differential & Integral Calculus I+
    (Prerequisite: MATH 1513+ and MATH 1613+ or MATH 1715+)
  • MATH 2924 Differential & Integral Calculus II+

Liberal Arts (3 hours)

  • PHIL 2603 Ethics of Data Science+

PROGRAM REQUIREMENTS (19 hours)

Students must earn a “C” or better in these courses to be eligible for graduation.

  • CIT 1113 Fundamentals of Programming Logic
  • CIT 1173 C++ Language+ or CIT 1613 Introduction to Java Programming+
  • MATH 2083 Introduction to Statistics for Engineering & Science+
  • MATH 2103 Discrete Math+
  • MATH 2213 Fundamentals of Data Science+
  • MATH 2934 Differential & Integral Calculus III+

PROGRAM ELECTIVES (6 hours)

Students must earn a “C” or better in these courses to be eligible for graduation.

Sciences Electives

Recommended courses include:

  • CHEM 1135 General College Chemistry I+
  • PHYS 2434 Physics I for Engineering & Science Majors+
  • PHYS 2401 General Physics Laboratory I+

Acceptable courses include any course with the following prefixes: BIOL, CHEM, ENSC, GEOL, METR, PHSC, and PHYS

Program Electives

  • CIT 1533 Principles of Cybersecurity+
  • CIT 2013 Database Theory & Design I+
  • CIT 2183 Advanced Database Design+
  • CIT 2613 Advanced Java Programming+
  • ENGR 2013 Engineering Graphics & Design+
  • ENGR 2103 Statics+
  • ENGR 2133 Strength of Materials+
  • ENGR 2303 Materials, Design & Manufacturing Processes+
  • MATH 2973 Introduction Ordinary Differential Equations+
  • PHYS 2444 Physics II for Engineering & Science Majors+
  • PHYS 2411 General Physics Laboratory II+

Suggested Order of Enrollment

This plan shows one possible grouping of Program Requirements and their prerequisite courses that would allow students to graduate in 2 years. Students must enroll in a combination of General Education and Program Requirements to complete the degree. Consult with the STEM division advisor each semester to verify that selected courses will fulfill degree requirements. Check the College Catalog and/or class schedule for specific course offerings. The “+” symbol represents a prerequisite for the course. Any course offering is subject to change without notice.

1st Semester

  • CIT 1113 Fundamentals of Programming Logic
  • MATH 1914 Differential & Integral Calculus I+

2nd Semester

  • CIT 1173 C++ Language+
    or CIT 1613 Intro to Java Programming+
  • MATH 2924 Differential & Integral Calculus II+
  • PHIL 2113 Introduction to Logic & Critical Thinking+

3rd Semester

  • MATH 2083 Introduction to Statistics+
  • MATH 2103 Discrete Math+
  • MATH 2934 Differential & Integral Calculus III+
  • Program Elective

4th Semester

  • MATH 2213 Fundamentals of Data Science+
  • PHIL 2603 Ethics of Data Science+
  • Program Elective

Note:
If attending the University of Central Oklahoma after completion of this degree, CIT 1173 C++ Language is required.

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