Majors and Minors

Major / Minor Details

Data Science - Statistics Track (Major) | BA

  • Data Science
  • School: SAS
  • Program Code: 219T
  • Degree Type: BA
  • Program Type: Major
  • Program Summary: The Bachelor of Arts in Data Science at Rutgers provides students with a strong foundation in data literacy, statistical inference, data management, and information and data management principles. The program has two tracks, Statistics and Societal Impact, each with unique requirements. The Statistics track includes calculus, computer science, and advanced statistics courses. The Societal Impact track includes courses in regression methods, computing, IT and informatics, and courses that are built to equip students to take on the role of a data scientist. The program prepares students for a career in data science with a focus on statistical analysis, data management, and information and data management principles.

  • 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

  • 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
    Data 101 01:198:142 or 01:960:142 4 Computer Science (198)
    Statistics (960)
    Calculus I 01:640:135 or 01:640:151 4 Mathematics (640)
    Introduction to Computer Science 01:198:111 4 Computer Science (198)
    Statistics II
    (for those with credit for AP Statistics)    		 01:960:212 3 Statistics (960)

  • 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

  • The Schedule of Classes provides information about the courses being offered in a particular semester. There are literally thousands of courses offered each semester at Rutgers, and you may find it helpful to narrow down your options by looking for courses in subjects related to your potential major or minor. Use the recommendations below to find possible introductory courses in other subjects. 

    To find potential courses in other subjects related to this one:

    1. On the Schedule of Classes, select the current term, location "New Brunswick" and level "undergraduate". Click continue.

    2. In the Search By box, click the "search multiple subjects" link. Select the following departments:

    Computer Science (198)

    Information Technology and Informatics (547)

    Philosophy (730)

    Statistics (960)

    3. In Section Status, deselect Closed

    4. In Level of Study, deselect 300 and 400. In general, 100 and 200 are appropriate for first-year students, 300 and 400 are often more appropriate for students with more familiarity with the subject. If you are interested in registering for a 300 or 400 level course, consult with an advisor before registering. 

    Review these courses for possible inclusion in your first-semester schedule, or to consider for future semesters.
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