Computer Science: Data Science Option - AS (232D)
Division: Mathematics, Engineering Technologies and Computer Science (METCS) Division
| Code | Title | Credits |
|---|---|---|
| General Education Requirements (30 Credits) | ||
| Written & Oral Communication (6) | ||
| ENG 101 | College Composition I | 3 |
| ENG 102 | College Composition II | 3 |
| Quantitative/Scientific Knowledge, Skills & Reasoning (15) | ||
| MTH 101 | Statistics and Probability I | 4 |
| MTH 121 | Calc with Analytic Geom I | 4 |
| MTH 239 | Introduction to Linear Algebra | 3 |
| PHY 103 | General Physics I | 4 |
| Society & Human Behavior (3) | ||
| Select one of the following: | 3 | |
| ANT 101, ANT 105, ECO 101, ECO 102, POL 104, PSY 101, PSY 102, PSY 219, SOC 101, SOC 108, SOC 219 | ||
| Humanistic Perspective (3) | ||
| Select any English Literature course | 3 | |
or Select one of the following courses: | ||
| Historical Perspective (3) | ||
| Select any History (HST) course | 3 | |
| Major Requirements (30 Credits) | ||
| CSC 121 | Computer Science I | 3 |
| CSC 122 | Computer Science II | 3 |
| CSC 225 | Data Structures | 3 |
| CSC 231 | Database Design | 4 |
| MTH 122 | Calc with Analytic Geom II | 4 |
| MTH 141 | Mathematical Statistics | 3 |
| DSC 141 | Data Science I - Fundamentals | 2 |
| DSC 241 | Data Sci II - Machine Learning | 2 |
| DSC 242 | Intro to Artificial Intel | 3 |
| DSC 243 | Data Visualization | 3 |
| Total Credits | 60 | |
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If you do not place into MTH 121 Calc with Analytic Geom I the prerequisites are: MTH 100 Intro. to College Mathematics, MTH 119 Pre-Calculus I and MTH 120 Pre-Calculus II. Math Placement is determined by the Mathematics Department. These courses should be taken in high school or the summer before your first semester at ECC.
Notes:
- For an explanation of why General Education courses are included in this Program, please refer to the Section on General Education for an explanation of its Purpose and Requirements.
- This plan assumes the student is eligible to enroll in College Level Courses (designated as 100 +, e.g., ENG 101 College Composition I, HST 101 World Civilization I, MTH 100 Intro. to College Mathematics). Placement results will determine College Level Readiness in English and Mathematics.
Computer Science: Data Science Option
Curriculum Code: 232D
Will Earn Upon Completion: Associate in Science (A.S.) Degree
Why major in Computer Science: Data Science Option?
Program prepares for a baccalaureate in data science or related field emphasizing programming languages, artificial intelligence and data visualization skills coupled with a mathematical background in calculus, statistics, probability and linear algebra.
If I major in Computer Science: Data Science Option can I transfer to an upper-division college or university?
Curriculum prepares for transfer to upper-division colleges and universities. Consult catalog where you plan to transfer to, to select courses toward your baccalaureate.
Are there any requirements I must satisfy before I start taking courses in my major?
Based on placement testing, you may be required to take developmental courses in English and/or Mathematics before taking courses in your major.
How long will it take me to complete this degree?
If you do not need developmental courses and register for an average of 15 credits each semester, degree can be completed in two years, which may be shortened by taking summer courses.
Where should I direct specific questions?
Contact the Division (973) 877-3302.
Upon completion of this program, graduates will be able to:
- Evaluate the role of data scientists and data analysts;
- Identify and apply commonly used data collection methods;
- Describe and apply common data cleansing methods;
- Learn and apply programming languages to manipulate data;
- Explain the role of the tools used for performing data analysis;
- Apply artificial intelligence techniques to real-world problems;
- Describe how data visualization helps in data representations; and
- Utilize data visualization tools to display data.