The Data Analytics AS degree is an expansion on the CIS department Data Science Fundamentals Certificate of Achievement and prepares students for careers as data analyst, data scientist, machine learning engineers, business analyst, computer systems analyst, logistics analyst, marketing analyst, and database managers. The multidisciplinary program provides the analytical, methodological, and programming skills required in data processing, information technology, business, and computing. The certificate will also serve as a foundation for continued education at four-year institutions
AS=20
The Data Analytics AS degree is an expansion on the CIS department Data Science Fundamentals Certificate of Achievement. Students will learn the fundamentals of data science, statistical analysis, relational databases, database management using SQL, and programming. Additionally, the courses included in the certificate could be used as a basis for a bachelor degree in Computer Information Systems, Business, Computer Science, Data Science, Computer Programming, Math or used to fulfill general education requirements for a two- or four-year degrees.
Item 1. Program Goals and Objectives
The Data Analytics AS degree is an expansion on the CIS department Data Science Fundamentals Certificate of Achievement. Students will learn the fundamentals of data science, statistical analysis, relational databases, database management using SQL, and programming. Additionally, the courses included in the certificate could be used as a basis for a bachelor degree in Computer Information Systems, Business, Computer Science, Data Science, Computer Programming, Math or used to fulfill general education requirements for a two- or four-year degrees.
Program Outcomes
Item 2. Catalog Description
The Data Analytics AS degree is an expansion on the CIS department Data Science Fundamentals Certificate of Achievement and prepares students for careers as data analyst, data scientist, machine learning engineers, business analyst, computer systems analyst, logistics analyst, marketing analyst, and database managers. The multidisciplinary program provides the analytical, methodological, and programming skills required in data processing, information technology, business, and computing. The certificate will also serve as a foundation for continued education at four-year institutions
Item 3. Program Requirements
Requirements | Dept. Name/# | Name | Units | Laney GE | Sequence | |
---|---|---|---|---|---|---|
Core Courses Relation Databases (8 units): | CIS 098 | Database Programming with SQL | 4 | Yr 2, Fall | ||
BUS 043B | Introduction to Microsoft Excel for Business | 4 | Yr 1, Fall | |||
Introduction to Programming (4-5 units): | CIS 006 | Introduction to Computer Programming | 5 | Yr 1, Fall | ||
or | ||||||
CIS 116 | Introduction to Computational Thinking with Data | 4 | Yr 1, Fall | |||
or | ||||||
MATH 116 | Introduction to Computational Thinking with Data | 4 | Yr 1, Fall | |||
Introduction to Computer Science (3-5 units): | CIS 005 | Introduction to Computer Science | 5 | Yr 1 Fall | ||
or | ||||||
CIS 020 | Microcomputer Assembly Language | 4 | Yr 1, Spring | |||
Or | ||||||
CIS 096F | Introduction to Artificial Intelligence and Machine Learning | 3 | Yr 1, Spring | |||
Foundations in Object Oriented Programming (4 units): | CIS 025 | Object Oriented Programming Using C++ | 4 | Yr 2, Fall | ||
or | ||||||
CIS 036A | Java Programming Language I | 4 | Yr 2, Fall | |||
Data Structure and Algorithms (4-5 units): | CIS 27 | Data Structures and Algorithms | 4 | Yr 1, Spring | ||
or | ||||||
CIS 61 | Structure and Interpretation of Computer Programs | 5 | Yr 1, Spring | |||
Foundations of Data Science and Statistics (4 units): | CIS 118 | Foundations in Data Science | 4 | Yr 2, Spring | ||
or | ||||||
MATH 118 | Foundations in Data Science | 4 | Yr 2, Spring | |||
or | ||||||
MATH 13 | Introduction to Statistics | 4 | Yr 2, Spring | |||
Major Requirements | 27-31 | |||||
General Education Requirements | 18 | |||||
Electives to meet 60 units | ||||||
Total Units | 60 |
Item 4. Master Planning
Fall 2023- The CIS 118, Math 118, CIS 116, and Math 116 are new courses created to support the Data Analytics AS degree.
The other courses that are part of the certificate are already offered consistently.
Item 5. Enrollment and Completer Projections
Interest in the Data Analytics AS degree is expected to be modest at first and grow quickly through marketing efforts to bring this program into broader community awareness. Enrollment and completion of Data Analytics AS degree are projected to be at least 20 students per year completing after the inaugural first two years of this program.
Item 6. Place of Program in Curriculum/Similar Programs
a) There are not active inventory records that need to be changed in connection with the approval of the proposed program.
b) This program does not replace any existing programs on the college’s inventory.
c) Laney will be the only campus in the district with a Data Science Fundamentals Certificate of Achievement. Laney's MATH department is creating a Data Science AS.
Item 7. Similar Programs at Other Colleges in Service Area
City College of San Francisco: AS Data Science degree
West Valley College: AS Data Science degree
Course | Title | Units | Year/Semester (Y1 or S1) |
---|---|---|---|
Requirements | Dept. Name/# | Name | Units | Laney GE | Sequence | |
---|---|---|---|---|---|---|
Core Courses Relation Databases (8 units): | CIS 098 | Database Programming with SQL | 4 | Yr 2, Fall | ||
BUS 043B | Introduction to Microsoft Excel for Business | 4 | Yr 1, Fall | |||
Introduction to Programming (4-5 units): | CIS 006 | Introduction to Computer Programming | 5 | Yr 1, Fall | ||
or | ||||||
CIS 116 | Introduction to Computational Thinking with Data | 4 | Yr 1, Fall | |||
or | ||||||
MATH 116 | Introduction to Computational Thinking with Data | 4 | Yr 1, Fall | |||
Introduction to Computer Science (3-5 units): | CIS 005 | Introduction to Computer Science | 5 | Yr 1 Fall | ||
or | ||||||
CIS 020 | Microcomputer Assembly Language | 4 | Yr 1, Spring | |||
Or | ||||||
CIS 096F | Introduction to Artificial Intelligence and Machine Learning | 3 | Yr 1, Spring | |||
Foundations in Object Oriented Programming (4 units): | CIS 025 | Object Oriented Programming Using C++ | 4 | Yr 2, Fall | ||
or | ||||||
CIS 036A | Java Programming Language I | 4 | Yr 2, Fall | |||
Data Structure and Algorithms (4-5 units): | CIS 27 | Data Structures and Algorithms | 4 | Yr 1, Spring | ||
or | ||||||
CIS 61 | Structure and Interpretation of Computer Programs | 5 | Yr 1, Spring | |||
Foundations of Data Science and Statistics (4 units): | CIS 118 | Foundations in Data Science | 4 | Yr 2, Spring | ||
or | ||||||
MATH 118 | Foundations in Data Science | 4 | Yr 2, Spring | |||
or | ||||||
MATH 13 | Introduction to Statistics | 4 | Yr 2, Spring | |||
Major Requirements | 27-31 | |||||
General Education Requirements | 18 | |||||
Electives to meet 60 units | ||||||
Total Units | 60 |
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