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Data Analytics (AS ➛ BS)

Contact Us

Do you have questions about the 3+1 Program?

Current Students Contact
Rowan Relations Office
3plus1@rcbc.edu
 

Prospective Students Contact
Office of Outreach and Admissions
admissions@rcbc.edu
(856) 222-9311, ext. 1199

Earn Your Bachelor of Science in Data Analytics through the 3+1 Program

Start by earning an Associate of Science degree in Liberal Arts and Sciences (Option: Business Administration), Computer Science, or Computer Information Systems, then seamlessly transition to complete your Bachelor of Science in Data Analytics.

This program equips you with essential data collectionexplorationanalysisvisualization, and presentation skills, preparing you to interpret and communicate data effectively. Through a structured, skills-based curriculum, you’ll gain the expertise needed to pursue diverse roles in the rapidly growing field of data analytics.

Potential Career Paths:

  • Data Analyst
  • Data-Driven Decision Maker
  • Functional Analyst
  • Data Systems Developer
  • Business Analyst
  • Analytics Manager

Data Analytics 3+1 Major Map

Please note this major map guide is not a substitute for academic advisement.

Interested students can register for this program anytime by logging into BaronOne and then accessing the 3plus1 Application Tile.

*This program requires in-person courses.

Already accepted into 3+1?

If you've been accepted into the program as a junior, be sure to review the checklist and complete your contract.

Pathway to a Bachelor of Science in Data Analytics from Rowan University

To transition into the senior year of the 3+1 program, students must first earn an associate degree. We recommend pursuing one of the following:

  • Associate of Science in Liberal Arts and Sciences, Option: Business Administration
  • Associate of Science in Computer Science (AS.CSE)
  • Associate of Science in Computer Information Systems (AS.INF)

Other associate degrees may also be acceptable. For guidance on alternate pathways, please contact the Rowan Relations Office.

Below are sample schedules to help you plan your journey. If you’re already enrolled in 3+1, refer to your personalized plan in AVISO for detailed guidance.

Sample Schedule for 3+1 Data Analytics coming from RCBC's AS.BUS degree.

RCBC Courses: total 90 credits

Semester 1 (15-16 credits)

  • ENG 101 College Composition I
  • MTH 132 College Algebra for Business or MTH 130 Accelerated Pre-Calculus 
  • ECO 203 Principles of Microeconomics
  • ACC 110 Principles of Accounting I
  • Business Program Elective

Semester 2 (16-17 credits)

  • ENG 102 College Composition II
  • Natural Science with Lab (see associate’s degree for options)
  • ECO 204 Principles of Macroeconomics
  • *MTH 142 Calculus: Techniques & Applications or MTH 118 Calculus I
  • Business Program Elective

Semester 3 (16-17 credits)

  • Social Science (see associate’s degree for options)
  • History (recommend HIS 106) 
  • *MTH 143 Statistics I
  • BUA 220 Principles of Marketing
  • Diversity (recommend LIT 203, 206, 211, 216 or 217)

Semester 4 (12-13 credits)

  • Artistic Literacy: ART 101, MUS 101, or THR 101
  • Natural Science (see associate’s degree for options)
  • Business Program Elective
  • CIS 139 Intro to Python 
  • Elective, if needed to reach 60 credits

Semester 5 (15 credits)

  • CSE 115 Intro to Data Science
  • BUA 234 Management Information Systems (fall only)
  • CSE 110 Computer Science I
  • CSE 224 Adv Prog Workshop
  • Elective or Literature, if not taken for Diversity

Semester 6 (15 credits)

  • MTH 243 Statistics II (spring only)
  • CSE 334 Applied Database Technologies (spring only)
  • BUA 305 Research Methods & Ethical Issues in Data Analytics
  • CIS 208 Introduction to Cybersecurity
  • Elective, if needed to reach 90 credits

Notes:

Check self-service for prerequisite requirements and associate degree requirements

Electives are any RCBC course; email 3plus1@rcbc.edu for questions about electives

If you complete all recommended and required courses, earn an Associate of Science degree after semester 4

CIS 139, MTH 243, BUA 305, & CSE 334 are spring only courses; CSE 224 & BUA 234 are fall only courses

*Indicates course needs to be C- or higher


 

 

Rowan University Courses: 30 credits (Fall only start for senior year courses)

Courses are taken in a hybrid format (online and in Mount Laurel).

Semester 1(15 credits)

  • Data Science Elective (3SH)
  • DA 01491 Data Analytics Capstone I
  • MGT 06408 Business Data Visualization or CS 07370 Intro to Information Visualization
  • MIS 02331 Data Mining for Business
  • Free Elective or CMS 04206 Digital Presentation

Semester 2 (15 credits)

  • Data Science Elective
  • Data Science Elective
  • DA 01492 Data Analytics Capstone II
  • CS 02421 Big Data Tools and Techniques
  • MIS 02339 Business Intelligence

Notes:

Meet with Rowan University Advisor prior to senior year to confirm schedule

Students must complete a minimum of 30 credits with Rowan University

Total credits required for BS is 120 between Rowan University credits and transfer credits

Sample Schedule for 3+1 Data Analytics coming from RCBC's AS.CSE degree.

RCBC Courses: total 90 credits

Semester 1 (14 credits)

  • ENG 101 College Composition I
  • *MTH 118 Calculus I
  • Artistic Literacy: ART 101, MUS 101, or THR 101
  • CSE 110 Computer Science I

Semester 2 (15 credits)

  • ENG 102 College Composition II
  • MTH 119 Calculus II
  • CSE 112 Introduction to Computer Science II
  • PHY 210 AND PHY 211 General Physics I and Lab

Semester 3 (15 credits)

  • MTH 226 Discrete Math
  • Natural Science (see associate’s degree for options)
  • CSE 224 Adv Prog Workshop
  • History (recommend HIS 106)
  • Social Science (see associate’s degree for options)

Semester 4 (16 credits)

  • CSE Program Elective
  • CSE Program Elective
  • Diversity (recommend LIT 203, 206, 211, 216 or 217)
  • Social Science (see associate’s degree for options)
  • CSE 210 Machine Assembler and Language Programming

Semester 5 (16 credits)

  • CSE 115 Intro to Data Science
  • BUA 234 Management Information Systems (fall only)
  • Elective or Literature, if not taken for Diversity
  • Elective 
  • *MTH 143 Statistics I

Semester 6 (14 credits)

  • MTH 243 Statistics II (spring only)
  • CSE 334 Applied Database Technologies (spring only)
  • BUA 305 Research Methods & Ethical Issues in Data Analytics
  • CIS 208 Introduction to Cybersecurity
  • CIS 139 Intro to Python 

Notes:

Check self-service for prerequisite requirements and associate degree requirements

Electives are any RCBC course; email 3plus1@rcbc.edu for questions about electives

If you complete all recommended and required courses, earn an AS.HSC degree after semester 4

CIS 139, MTH 243, BUA 305, & CSE 334 are spring only courses; CSE 224 & BUA 234 are fall only courses

*Indicates course needs to be C- or higher


 

 

Rowan University Courses: 30 credits (Fall only start for senior year courses)

Courses are taken in a hybrid format (online and in Mount Laurel).

Semester 1(15 credits)

  • Data Science Elective (3SH)
  • DA 01491 Data Analytics Capstone I
  • MGT 06408 Business Data Visualization or CS 07370 Intro to Information Visualization
  • MIS 02331 Data Mining for Business
  • Free Elective or CMS 04206 Digital Presentation

Semester 2 (15 credits)

  • Data Science Elective
  • Data Science Elective
  • DA 01492 Data Analytics Capstone II
  • CS 02421 Big Data Tools and Techniques
  • MIS 02339 Business Intelligence

Notes:

Meet with Rowan University Advisor prior to senior year to confirm schedule

Students must complete a minimum of 30 credits with Rowan University

Total credits required for BS is 120 between Rowan University credits and transfer credits

Sample Schedule for 3+1 Data Analytics coming from RCBC's AS.INF degree.

RCBC Courses: total 90 credits

Semester 1 (16 credits)

  • ENG 101 College Composition I
  • * MTH 142 Calculus Techniques/Applications
  • Artistic Literacy: ART 101, MUS 101, or THR 101
  • CSE 110 Computer Science I
  • Social Science (see associate’s degree for options)

Semester 2 (14 credits)

  • ENG 102 College Composition II
  • CSE 112 Introduction to Computer Science II
  • Natural Science with Lab (see associate’s degree for options)
  • MTH 226 Discrete Math

 

Semester 3 (15 credits)

  • CSE 135 Computer Programming and Problem Solving
  • History (recommend HIS 106)
  • CSE 224 Adv Prog Workshop
  • CIS 150 Networking Fundamentals
  • Social Science (see associate’s degree for options)

Semester 4 (15 credits)

  • *MTH 143 Statistics I
  • INF Program Elective (recommend CSE 223)
  • CSE 213 Database Systems Diversity (recommend LIT 203, 206, 211, 216 or 217)
  • History (recommend HIS 106)
  • Natural Science (see associate’s degree for options)

 

Semester 5 (15 credits)

  • CSE 115 Intro to Data Science
  • BUA 234 Management Information Systems (fall only)
  • Elective
  • Elective or Literature, if not taken for Diversity
  • Elective

Semester 6 (15 credits)

  • MTH 243 Statistics II (spring only)
  • CSE 334 Applied Database Technologies (spring only)
  • BUA 305 Research Methods & Ethical Issues in Data Analytics (spring only)
  • CIS 208 Introduction to Cybersecurity
  • CIS 139 Intro to Python 

Notes:

Check self-service for prerequisite requirements and associate degree requirements

Electives are any RCBC course; email 3plus1@rcbc.edu for questions about electives

If you complete all recommended and required courses, earn an AS.HSC degree after semester 4

CIS 139, MTH 243, BUA 305, & CSE 334 are spring only courses; CSE 224 & BUA 234 are fall only courses

*Indicates course needs to be C- or higher


 

 

Rowan University Courses: 30 credits (Fall only start for senior year courses)

Courses are taken in a hybrid format (online and in Mount Laurel).

Semester 1(15 credits)

  • Data Science Elective (3SH)
  • DA 01491 Data Analytics Capstone I
  • MGT 06408 Business Data Visualization or CS 07370 Intro to Information Visualization
  • MIS 02331 Data Mining for Business
  • Free Elective or CMS 04206 Digital Presentation

Semester 2 (15 credits)

  • Data Science Elective
  • Data Science Elective
  • DA 01492 Data Analytics Capstone II
  • CS 02421 Big Data Tools and Techniques
  • MIS 02339 Business Intelligence

Notes:

Meet with Rowan University Advisor prior to senior year to confirm schedule

Students must complete a minimum of 30 credits with Rowan University

Total credits required for BS is 120 between Rowan University credits and transfer credits