Data Analytics

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

• Demonstrate the ability to apply statistical analysis of real world data using multiple representations such as graphs, text, or tables, being mindful of concerns around data bias and privacy.

• Use programming and data analytics tools to make statistical inference on data and data sets using computational techniques. 

• Write computer scripts and programs to organize, produce visualizations, and numerical summaries of data and data sets.

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

The program was created with discussions with UC Berkeley's pilot with community college program in building foundations of data science curriculum. In addition, the program is part of Laney's partnership with Hack the Hood organization, which trains early career youth and communities of color through data and tech skill building programs.

City College of San Francisco: AS Data Science degree; Ekaterina Fuchs; MATH Department chair; efuchs@ccsf.edu; 415-239-3478; emailed and called them; as of 11/22/23 no reply West Valley College: AS Data Science degree; Laura Plunkett; MATH Department chair; laura.plunkett@westvalley.edu; 408-741-2064; emailed and called them; as of 11/22/23 no reply