Data Science, BS

Bachelor’s Degree Requirements:

• Minimum 120 Credit Hours
• Writing Intensive Course
• Minimum Cumulative G.P.A.: 2.00
• 30 Credit Hours of Residency Courses
• 9 Credits of Upper-Level Major Residency Courses
• Minimum G.P.A. in the Major: 2.00

Program Major Requirements (65 Credit Hours):

• BUA 205 - Excel for Business Applications 3 CR
• BUA 275 - AI in Business Applications: AI in Business Applications 3 CR
• CIS 110 - Programming Fundamentals 3 CR
• CIS 120 - Introduction to Data Structures 3 CR
• CIS 218 - Introduction to SQL 3 CR
• CIS 255 - Database Design 3 CR Or  DSC 255 - Database Design  3 CR
• CIS 360 - Geographical Information Systems 4 CR Or  DSC 360 - Geographical Information Systems  3 CR
• CIS 454 - AI and Advanced Python 3 CR Or  DSC 454 - AI and Advanced Python  3 CR
• INT 208 - Introduction to Interdisciplinary Studies 3 CR Or  HON 208 - Introduction to Interdisciplinary Studies  3 CR
• ISS 210 - Introduction to Information Systems Security 3 CR
• MAT 125 - Calculus I 4 CR
• MAT 261 - Applied Linear Algebra 3 CR
• MAT 280 - Discrete Mathematical Structures 3 CR

• Complete one of the following: 

  • CIS 325 - Introduction to Machine Learning  3 CR or  DSC 325 - Introduction to Machine Learning  3 CR
  • DSC 525 - Introduction to Machine Learning  3 CR 

  Complete one of the following: 

  • CIS 352 - Data Visualization  3 CR or  DSC 352 - Data Visualization  3 CR or  INT 352 - Data Visualization  3 CR
  • DSC 552 - Data Visualization  3 CR or  TEM 552 - Data Visualization  3 CR

  Complete one of the following: 

  • CIS 450 - Data Mining  3 CR or  BUA 450 - Data Mining  3 CR or  DSC 450 - Data Mining  3 CR or  MAT 450 - Data Mining  3 CR
  • DSC 550 - Data Mining  3 CR or  TEM 550 - Data Mining  3 CR

  Complete one of the following: 

  • DSC 455 - Data Quality and Cleaning  3 CR or  CIS 455 - Data Quality and Cleaning  3 CR
  • DSC 555 - Data Quality and Cleaning  3 CR

  Complete one of the following: 

  • CIS 350 - Database Management  3 CR
  • ISS 350 - Databases and Database Security  3 CR 

  Complete one of the following: 

  • DSC 449 - Introduction to R Programming and Data Analysis  3 CR or  CIS 449 - Introduction to R Programming and Data Analysis  3 CR or  MAT 449 - Introduction to R Programming and Data Analysis  3 CR
  • DSC 549 - Introduction to R Programming  3 CR
  • CIS 354 - Algorithms and Data Structures  3 CR 

  Choose one of the following:

  • AME 308W - Political Investigation  3 CR
  • ART 610 - Integrated Data Visualization Capstone Studio  3 CR
  • BIO 495 - Biology Research Laboratory  3 CR
  • COM 475 - Analyzing Social Media  3 CR or  SOC 475 - Analyzing Social Media  3 CR
  • CYB 515 - Research Methods  3 CR
  • JUS 105 - Legal Research and Materials  3 CR
  • NUR 352 - Nursing Research  3 CR
  • POS 487 - Research Issues in Public Management  3 CR
  • SSC 220 - Introduction to Research Literacy  3 CR
  • SSC 360 - Qualitative Research Methods  3 CR
  • SSC 490 - Project Planning  3 CR
  • TEM 587 - Research Issues and Data Literacy in Public Management  3 CR
  • TEM 590 - Project Planning  3 CR

  ​Choose one of the following:

  • BIO 435 - Applied Bioinformatics  3 CR
  • BUA 350 - Managerial Analytics  3 CR
  • CIS 353 - Principles of Human Computer Interaction and User Design (HCI and UX)  3 CR
  • CIS 355 - Introduction to Sensors  3 CR
  • CIS 370 - Statistical Quality Control  3 CR
  • CIS 410 - Software Engineering  3 CR
  • DSC 225 - Introduction to Health Informatics  3 CR
  • ISS 260 - Cloud Security  3 CR
  • ISS 325 - Security Metrics  3 CR
  • ISS 372 - The Internet of Things (IoT)  3 CR

General Education Requirements (40 Credit Hours):

Written Communication:

• ENG 101 - College Writing  3 CR

Oral Communication:

• Any satisfactory course 3 CR*

Writing Intensive:

• ENG 317W - Professional Writing  3 CR

Social Science:

• Any satisfactory course 3 CR*

Natural Science:

• Any satisfactory course 4 CR*

Humanities:

• Any satisfactory course 3 CR*

Cultural Perspectives:

• Any satisfactory course 3 CR*

Quantitative Literacy:

• MAT 115 - Elementary Statistics I  3CR

Computing Literacy:

• CIS 101 - Introduction to Computer Science  3 CR

Fine Arts:

• ART 450 - Visual Storytelling with Data  3 CR or  ART 550 - Visual Storytelling with Data  3 CR

Information Literacy:

• CIS 150 - Introduction to Data Science  3 CR

Critical Thinking:

• ENG 344W - Critical AI Literacy  3 CR

Ethical Reasoning:

• CIS 460 - Computing, Ethics and Culture  3 CR

*These General Education courses are waivable for students with prior bachelor’s degree

Non asterisked (*) linked courses are required for this program

General Electives (16 Credit Hours):

• Complete any 16 credits of 100-level or higher coursework (16 CR)

General Education:

It is the intention of the University of Maine at Augusta that every degree graduate will be prepared to function in our society as an effective and informed citizen.  To this end, the faculty has designed a set of minimum expectations that students are expected to satisfy.  The aspirations are defined by core skills, competencies, and abilities as well as knowledge based learning experiences that are the grounds for the General Education Requirements.  To learn more, visit  www.uma.edu/academics/general-education/

Advising Notes:

Students should use their free elective credits to pursue a minor or certificate at UMA.  This is not required, however, it is an encouraged practice.

Students are encouraged to contact their advisor for academic advising and support services throughout their stay at UMA.