The Data Analytics major gives students a strong foundation in both computer science and statistics with a focus on applications to big data and an examination of the human decisions and ethical considerations made in collecting and analyzing data. In addition to courses specific to data analytics, computer science, statistics, and ethics, Data Analytics majors will take a set of elective courses that encourage specialization and concentration in a specific application domain. 

First Courses in Data Analytics. Students interested in pursuing the Data Analytics major are encouraged to take COMP 141 (Programming Fundamentals) and an introductory statistics course (MATH 211 or ECON 290 or PSYC 211) during their first year. If a student has a score of 4 or 5 on the AP Computer Science A exam, they should start with DATA 242 (Program Design and Data Structures for Data Analytics). If a student has a score of 4 or 5 on the AP Statistics exam, they should start with MATH 212 (Applied Regression). If a student has credit for both COMP 141 and MATH 211, the student is encouraged to take DATA 244 (Introduction to Data Analytics) in their first year. Each concentration within Data Analytics also has courses appropriate for first-year students:

• Students interested in the Anthropology and Sociology concentration are encouraged to take ANSO 103 (Introductory Anthropology) or ANSO 105 (Introductory Sociology) in their first year.
• Students interested in concentrations in Accounting, Finance, Managements, Marketing, or Economics are encouraged to take ECON 100 (Introduction to Economics) in their first year.
• Students interested in the Environmental Studies and Sciences concentration are encouraged to take ENVS 150 (Environment and Society) in their first year.
• Students interested in the Health Equity concentration are encouraged to take HLEQ 210 (Introduction to Health Equity) in their first year.
• Students interested in the International Studies concentration are encouraged to take INTS 110 (Introduction to International Relations) or INTS 120 (Introduction to Comparative Politics) in their first year.
• Students interested in the Psychology concentration are encouraged to take PSYC 150 (Introduction to Psychological Science) in their first year.
• Students interested in the Urban Students concentration are encouraged to take URBN 201 (Introduction to Urban Studies) in their first year.

A total of fifty-six (56) credits as follows:

Required courses (28 credits):

• COMP 141: Programming Fundamentals
• DATA 242: Program Design and Data Structures for Data Analytics or COMP 241: Data Structures and Algorithms
• DATA 244/MATH 244: Introduction to Data Analytics and Visualization
• DATA 344/COMP 344/MATH 344: Advanced Methods in Data Analytics 
• MATH 211 or ECON 290 or PSYC 211 (an introductory statistics course)
• MATH 212: Regression or ECON 420: Econometrics
• DATA 486 (Data Analytics Senior Seminar)*
  *If pursuing an Economics concentration then take ECON 486 (Economics Senior Seminar) instead of DATA 486

One course in ethics from the following list (4 credits):

• PHIL 224: Digital Technology and Big Data Ethics
• PHIL 320: The Ethics of Artificial Intelligence

Elective courses, two of the following numbered 300 or up (8 credits):

• COMP 345: Data Mining
• COMP 340: Databases
• COMP 375: Machine Learning
• ECON 412: Data Analysis and Management
• ECON 440: Advanced Econometrics
• MATH 307: Bayesian Statistical Analysis
• MATH 333: Time Series and Forecasting
• MATH 335: Stochastic Processes 

Concentration, one of the following (16 credits):

• Anthropology and Sociology: ANSO 103 or 105, ANSO 351, one additional research methods course (ANSO 352, 254, or ARCE 120), and one 300-level ANSO elective (must be approved by the ANSO chair).
• Accounting: ECON 100, BUS 241, 243, and BUS 450
• Finance: ECON 100, BUS 241*, BUS 351, and BUS 454 (*BUS 243 is also recommended)
• Management: ECON 100, BUS 243*, BUS 361, and BUS 466 or BUS 467 (*BUS 241 is also recommended)
• Marketing: ECON 100, BUS 243*, BUS 371, and BUS 472 (*BUS 241 is also recommended)
• Economics: MATH 115, 116 or 122, ECON 100, 201, and 412 or 440 (and students must take ECON 290, 420, and 486 as Required Courses).
• Environmental Studies and Sciences: ENVS 150, ENVS/URBN 225, and two additional courses, one of which must include a science lab (BIOL 120, ENVS 325, four credits of research ENVS 451/452, or additional environmental science elective approved by the ENVS chair)
• Health Equity: URBN/ENVS 225, HLEQ 440 or PLAW 320, one of HLEQ 210, URBN 235, or AFS 350, and one of the following: HLEQ 420, HLEQ 415, HLEQ 430, MATH 314, MATH 315, ENVS 150, PSYC 220, PSYC 330, RELS 231, URBN 340, or other elective approved by the chair of Health Equity
• International Studies: INTS 270 and three courses from INTS global leadership and/or regional leadership courses.
• Psychology: PSYC 150, 200, and two more advanced research courses. These two advanced courses can either be (a) two courses selected from 350, 351, 352, 353, 306, 338 or (b) one class from 350-353, 306, or 338, and four credits of research practicum (451/452).
• Urban Studies: URBN 201, URBN/ENVS 225, PLAW 206, and one of the following: URBN 310, URBN 320, URBN 323 URBN 340, URBN 345, URBN 350, URBN 362, URBN 365, or other elective approved by the chair of Urban Studies