Data Science Courses

Mid-Level Courses in Quantitative Skills include:

• Applied Statistical Analysis [SOC 207]
• Cyber Security [TBA]*
• Database Programming in SQL [CSCI 85]*
• Data Mining and Warehousing [CSCI 334]*
• Data Processing, Management and Visualization [DATA 333]*
• Data Structures [CSCI 313]*
• Digital Journalism [JOURN 201]*
• Digital Recording [MUSIC 318]*
• Financial Analysis [BUS 356]*
• Market Research [BUS 344]*
• Methods of Applied Social Research [DATA 334]*
• Research Skills in Political Science [PSCI 200]
• Statistics as Applied to Economics and Business [ECON 249]*
• Web Design I [DESN 214]*

*Prerequisites apply.

Mid-Level Courses of Study: Minor Programs at Queens College

Students may also be interested in one or more of the following minors:

• Accounting [ACCT-MIN]
• Animation and Illustration [ARTSAI-MIN]
• Computational Linguistics [CSCICL-MIN]
• Computer Information Technology [CIT-MIN]
• Computer Science [CSCI-MIN]
• Data Analytics [DATA-MIN]
• Design [ARTGD-MIN]
• Digital Moviemaking and Imagemaking [ARTSDM-MIN]
• Financial Modeling (for majors in CS or Finance) [FINMDL-MIN]
• Interaction Design [ARTID-MIN]
• Psychology [PSYCH-MIN]

The Minor in Data Analytics [DATA-MIN] (20 credits) provides the foundational skills for data literacy as defined by the American Association of College and Universities, and the key competencies identified by the Business Higher Education Forum Task Force for Data Science and Analytics as essential for “data-enabled” graduates, which are in high demand in today’s data-rich job market. Students may combine this minor with ANY major.

• DATA 235. Data and Society
• DATA 205. Introductory Analytics
• DATA 212W. Research Methods
• DATA 306. Data Modeling
• DATA 333. Data Processing, Management, and Visualization
• DATA 334. Methods of Applied Social Research

Students with a serious commitment to developing their quantitative skills may be interested in pursuing one or more of the following courses of study:

• Accounting (BA)
• Actuarial Studies for Business (BBA)
• Computer Science (BA or BS)
• Economics (BA or BS)
• Finance (BBA)
• International Business (BBA)
• Mathematics: Data Science and Statistics Track (BA)
• Physics (BA, BS)
• Political Science (BA)
• Sociology (BA)

NOTE: Students that major in Business Administration, Computer Science, Mathematics, or Sociology may qualify for an ACCELERATED MA. Students interested in Risk Management can earn a graduate certificate as an undergraduate, regardless of major.

Alternatively, students may create an interdisciplinary course of study by choosing one or more of the previous majors and combining them with one or more of the minors from the previous list.

Below are some examples of interdisciplinary courses of study in data-related fields:

• Business/Financial Analytics = Data Analytics Minor + Financial Modeling Minor + Finance (BBA)
• Computational Linguistics = Data Analytics Minor + Computational Linguistics Minor + Linguistics (BA)
• Data Engineering = Data Analytics Minor + Computer Science (BS)
• Data Journalism = Data Analytics Minor + Journalism Minor + Media Studies (BA)
• Data Science / Predictive Analytics = Data Analytics Minor + Data Science and Statistics (BA)
• Data Visualization = Data Analytics Minor + BALA Minor + Design (BA)
• Epidemiology = Data Analytics Minor + Pre-Med Major
• Market Research = Data Analytics Minor  + Economics (BS)
• Policy/Political Analysis = Data Analytics Minor + Political Science (BA) or Sociology (BA)