Business Administration - Data Analytics Option, B.S.
Bachelor of Science Degree Requirements
Business Administration Major - Data Analytics Option
All students in the Craig School of Business who are working toward the Bachelor of Science in Business Administration must satisfy (a) the university's General Education requirements; (b) pre-business requirements, which include demonstration of computer competency, a seven-course group of pre-business courses, and both a cumulative and campus GPA of at least 2.25 to declare an option; (c) upper-division core requirements of six upper-division courses, (d) option requirements of 23-25 units in an area of specialization; (e) the upper-division writing skills requirement; (f) an integrative course requirement; and (g) complete at least 50 percent of the required business units in the Craig School of Business.
Computer literacy and computer software competency are considered essential to success in the program, which is heavily oriented in the use of technology. The pre-business courses include material considered essential for further study in business. The upper-division core courses provide a broad background and a breadth of knowledge and understanding. The option courses enable the student to specialize in a specific area of business and to prepare for effective performance in future employment.
1. Major requirements (74 units)
Demonstration of computer competency
Complete IS 52 and 52L or equivalent courses with a grade of "C" or better or achieve a passing score on the CSB computer competency waiver examination. See "computer competency waiver exam" at http://www.craig.fresnostate.edu/uss_home.aspx/
Integrative course requirement (3 units)
A grade of C or better must be earned for each course used to satisfy the requirements for the major.
2. General Education requirements (49 units)
These courses will satisfy the following: DS 71 for GE Area B4; ECON 50 for GE Area D2. Note: Business Administration majors are exempt from the third GE area C1/C2 requirement.
3. Other requirements (9 units)**
American Government and Institutions (PLSI 2), Multicultural and International (MI), and Upper-division writing. Business majors take BA 105W, Business Communication, to fulfill the Upper-Division Writing requirement and MKTG 100S to fulfill the MI requirement.
4. Sufficient elective units to meet required total units (varies)
5. Total (120 units)*
*G.E. and MI courses can be double-counted with major requirements. See advisor for details.
The Department of Information Systems and Decision Sciences is the home of leading experts who have decades of combined professional experience and research in Information Systems and Decision Sciences. The faculty of the Department have extensive expertise in systems analysis and design, project management, programming, statistics, analytics, operations management, computer networks, cyber-security, artificial intelligence, and database systems. The award-winning faculty members come from all over the world, each with a doctorate or a graduate degree from a major university. Collectively they bring experience in corporations in a wide variety of industries, as consultants, and in the public sector.
For faculty phone numbers and e-mail, see the campus directory.
For more on the faculty, see the faculty pages.
The faculty pages are updated by the department or program.
A roadmap identifies the specific set of courses students must complete in their major in sequential order. Information on corequisites or prerequisites is listed along with other pertinent information to assist students in completing courses towards the major.
Roadmaps are not guarantee of course availability.
If your are looking for archived roadmaps, please click here.
Data Analytics (DA) uses powerful tools and techniques to derive meaning and value from data. As companies are becoming more data-driven, data analytics is now being viewed as an essential area of expertise and as a distinguishable career path. Students learn to analyze data and find patterns to enhance business effectiveness and problem-solving. These skills are essential to make informed decisions to drive the business forward and achieve strategic goals. Students learn to become problem-solvers and are skilled to analyze data that unlock business opportunities and solutions while keeping the “big picture” in mind. Critical thinking and effective communication are complementary skills developed in this option. Topics covered in this option include decision analysis, data mining, modeling, prediction, artificial intelligence, and machine learning.
What You Can Earn
The job opportunities for Data Analytics graduates have never been more numerous. Opportunities in this field typically have a title of Analyst but careers span all industries and functional areas like data analysts, business intelligence, and market research analysts.
Below are some positions with mean/median salaries.
Data analyst $65,000
Data scientist $75,000 - $110,000
Market research analysts $53,000 - $82,000
Source: Glassdoor, Payscale, Dice as of February 2021
Interesting Classes You Might Take
- Data Analytics
- Business Intelligence with spreadsheets
- Data mining and Machine learning
- Geographic Information Systems
- Topics in emerging data science and analytics
What You Can Learn
- Advanced analytics skills and tools
- Practical programming to solve business problems
- Decision optimizations
About the School
The Craig School of Business is proud to be recognized as one of the best business schools in the state. The school provides active, engaged learning experiences to empower future business leaders. State of the art computer labs are open day and night, with staff available to answer technical questions and all student areas within the Peters Business Building has wireless Internet access.
School Contact Information
The Craig School of Business
5245 N. Backer Ave.
Fresno CA 93740-8001
Phone: (559) 278-2482
Department Contact Information
Department of Information Systems and Decision Sciences
Peters Business Building
Fresno, CA 93740
Phone: (559) 278-2823
Fax: (559) 278-4911