Data Analytics, B.S.

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The Data Analytics major is a rigorous program that equips students with the skills required to collect, organize, analyze, and model data to draw sound conclusions. The major aims to train well-rounded data analysts who are not only technically proficient in analyzing data but who also know how to responsibly use data to make decisions, think critically, and communicate effectively. Students will be exposed to knowledge in statistics, mathematics, computer science and will gain hands-on experience through in-class learning and domain-oriented analytic projects. Graduates of the program will be prepared for exciting careers in data analytics and will have the ability to transform data into a powerful tool in decision making.

Program Learning Outcomes

Competency Goal 1: Our learners will have strong analytical skills.

Competency Goal 2: Our learners will have strong quantitative skills.

Competency Goal 3: Our learners will have effective communications skills.

Competency Goal 4: Our learners will have a thorough understanding of various functional areas of business.

Competency Goal 5: Our learners will have a multidimensional understanding of social responsibility.

General Education Requirements (30-40 Credits)

Prerequisite coursework may be required to satisfy certain General Education courses and will count as elective credit.

Total Credits Required to Complete Major: 54

Basic Requirements: (51 Credits)

ACCT 102 - Introduction to Financial Accounting Credit(s): 3
ACCT 103 - Introduction to Managerial Accounting Credit(s): 3
ECON 110 - Introductory Microeconomics Credit(s): 3
ECON 112 - Introductory Macroeconomics Credit(s): 3
MGMT 100 - Introduction to Business and Economics in Society Credit(s): 3
ECON 205 - Business and Economic Statistics Credit(s): 3
MGMT 300 - Organizational Behavior Credit(s): 3
MGMT 305 - Quantitative Methods Credit(s): 3
FNCE 311 - Managerial Finance Credit(s): 3
MKTG 331 - Marketing Credit(s): 3
DANL 201 - Introduction to Programming in R Credit(s): 3
DANL 202 - Introduction to Programming in Python Credit(s): 3
DANL 101 - Introduction to Data Analytics Credit(s): 3
DANL 210 - Data Preparation and Management Credit(s): 3
DANL 300 - Advanced Data Analytics Credit(s): 3
DANL 310 - Data Visualization and Presentation Credit(s): 3
DANL 410 - Data Analytics Capstone Credit(s): 3

Elective Requirements: (9 Credits)

Choose 3 electives for 9 credits:

DANL 320 - Big Data Analytics Credit(s): 3
DANL 330 - Database Systems and SQL Credit(s): 3
DANL 340 - Social Media Data Analytics Credit(s): 3
*More electives will be added in the future

Related Requirements: (7 Credits)

MATH 221 - Calculus I Credit(s): 4
INTD 205 - Business Communications Credit(s): 3

Footnotes:

*Students who have received credit for GEOG 278 , MATH 242 , MATH 262 , PLSC 251 , PSYC 250 , or SOCL 211 may use this course to fulfill the statistics requirement.

A minimum of 50% of all required and elective ACCT, ECON, MGMT, MKTG, and FNCE courses must be taken at Geneseo.

Enrollment in 300-level and 400-level School of Business courses is restricted to junior and senior majors and minors in School of Business programs.

Sample Course Map

For students who matriculated prior to Fall 2022: please select the bulletin year in which you entered the college (matriculated) at the top right of this page.

Curriculum Map

First Year
- Fall - 16 Credit Hours
  - DANL 101 - Introduction to Data Analytics Credit(s): 3
  - ACCT 102 - Introduction to Financial Accounting Credit(s): 3
  - MGMT 095 - Excel Tutorial Credit(s): 0
  - MGMT 100 - Introduction to Business and Economics in Society Credit(s): 3
  - WRTG 105 - Writing Seminar: (subtitle) Credit(s): 3
  - World Language 101 - Credit(s): 4
- Spring - 16 Credit Hours
  - ACCT 103 - Introduction to Managerial Accounting Credit(s): 3
  - ECON 110 - Introductory Microeconomics Credit(s): 3
  - ECON 205 - Business and Economic Statistics Credit(s): 3
  - Global Society: DPP - Credit(s): 3
  - World Language 102 - Credit(s): 4
Second Year
- Fall - 17 Credit Hours
  - DANL 201 - Introduction to Programming in R or DANL 202 - Introduction to Programming in Python Credit(s): 3
  - ECON 112 - Introductory Macroeconomics Credit(s): 3
    - Counts for Global Society: CGC
  - Natural Science with lab - Credit(s): 4
  - Global Society: CAI - Credit(s): 3
  - Global Society: WCV - Credit(s): 4
- Spring - 16 Credit Hours
  - INTD 205 - Business Communications Credit(s): 3
  - MATH 221 - Calculus I Credit(s): 4
  - DANL 210 - Data Preparation and Management Credit(s): 3
  - Global Society: SST - Credit(s): 3
  - Elective - Credit(s): 3
Third Year
- Fall - 13 Credit Hours
  - DANL 300 - Advanced Data Analytics Credit(s): 3
  - MGMT 300 - Organizational Behavior Credit(s): 3
  - MKTG 331 - Marketing Credit(s): 3
  - Electives - Credit(s): 4
- Spring - 13 Credit Hours
  - DANL 310 - Data Visualization and Presentation Credit(s): 3
  - MGMT 305 - Quantitative Methods Credit(s): 3
  - FNCE 311 - Managerial Finance Credit(s): 3
  - Electives - Credit(s): 4
Fourth Year
- Fall - 15 Credit Hours
  - DANL Electives - Credit(s): 6
  - Integrated & Applied Learning - Credit(s): 3
  - Electives - Credit(s): 6
- Spring - 14 Credit Hours
  - DANL 410 - Data Analytics Capstone Credit(s): 3
  - DANL Elective - Credit(s): 3
  - Electives - Credit(s): 8

Total Credit Hours: 120

Note: Variation in the order of courses is possible, depending upon prerequisites. Consult course information in the bulletin or your academic advisor to customize your eight semester plan.

KEY - Participation in a Global Society (PGS)

Attributes:

Sub Areas

Abbreviation	Definition
DPP	Diversity, Pluralism, Power
WCV	World Cultures & Values
CGC	Contemporary Global Challenges
CAI	Creativity & Innovation
SST	Sustainability

Learning Areas

Abbreviation	Definition
ARTS	Arts
HUMA	Humanities
SOSC	Social Science