Major / Minor Details
Data Science - Chemical Data Science (Major) | BS
- School: SAS
- Program Code: 219C
- Degree Type: BS
- Program Type: Major, Credit Intensive
- Program Summary: The Bachelor of Science in Data Science at Rutgers provides students with a foundation in data literacy, statistical inference, and data management. The program includes courses in calculus, linear algebra, and principles of information and data management. The program has three tracks: Computer Science, Economics, and Chemical Data Science. The Computer Science track includes courses in calculus and computer science, with a deep emphasis on Machine Learning and Artificial Intelligence. The Economics track includes courses in microeconomics and macroeconomics, as well as other advanced economics courses. The Chemical Data Science track is designed to prepare students for advanced studies in chemistry, data science, and chemical data science, in addition to enabling them to move directly into the chemical industry, or advanced studies in these areas.
-
Requirement for Major Declaration
Completion of Data 101 (01:198:142/01:960:142) AND Statistical Inference (01:960:212/01:960:291/01:960:384/33:136:385); with grades of C or better -
We recommend that students register for approximately 15 credits each semester and no more than 16 credits in their first semester. Your schedule should be well-balanced and include coursework from a variety of subjects. A diverse schedule will help you begin your studies in potential majors and minors; explore a breadth of new knowledge across departments at Rutgers to meet SAS Core Curriculum learning goals; and survey broader academic interests through elective courses as you work to attain the required 120 degree credits for graduation.
Your schedule will look something like this:
College Writing or English course per placement results (3 credits)
Major Exploration course (3-4 credits)
Major or Minor Exploration course (3-4 credits)Course beyond main academic interest, such as SAS Core or elective course (3 credits)
Byrne or First-Year Interest Group Seminar (FIGS) (1 credit)
Total Credits: 15-16
-
Major Exploration Course(s) recommended
Introductory courses recommended by faculty. Include at least one of these in your schedule:
Course Title Course Number Credits Subject on University Schedule of Classes Calculus I 01:640:135 or 01:640:151
4 Mathematics (640)
Introduction to Computer Science 01:198:111 4 Computer Science (198) Data 101 01:198:142
01:960:1424 Computer Science (198)
Statistics (960)Statistics II
(for those with credit for AP Statistics)01:960:212 3 Statistics (960) -
Course Recommendations Beyond this Department
Your first year of college is an opportunity for you to explore fields of interest to enhance your understanding of yourself, the world around you, and your main academic and career goals. Think of your schedule as including courses you must take (English, courses to explore potential majors, etc.) and courses you can take (everything else!) All courses are part of your degree - if necessary, review the components of the SAS degree on this page.
Through these degree components, you will curate your own unique educational experience - but we understand that this level of flexibility and freedom can feel overwhelming for new students. Like a recommendation based on a book or TV show you enjoyed, the information below can help you identify related courses to consider in your first semester.
Course Title Course Number Credits Subject on University Schedule of Classes Intro to Logic
01:730:201 3 Philosophy (730 Information Technology and Informatics
04:189:103 3 Communication and Media Studies (189) Cognitive Science: A Multidisciplinary Introduction
01:185:201 3 Cognitive Science (185) Introduction to Ethics
01:730:107 3 Philosophy (730 - Program / Department Web Page
- Major Web Page
- Advising Page
- View all Majors / Minors