Data Science, BS

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Delivery Area: Online

Coordinator: Matthew Dube (207) 621-3212 matthew.dube@maine.edu

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 (93-97 Credit Hours):

Program Core (57-58 Credit Hours):

CIS 101 - Introduction to Computer Science 3 CR
CIS 110 - Programming Fundamentals 3 CR
CIS 120 - Introduction to Data Structures 3 CR
CIS 150 - Introduction to Data Science 3 CR
CIS 218 - Introduction to SQL 3 CR
CIS 255 - Database Design 3 CR
CIS 354 - Algorithms and Data Structures 3 CR
CIS 460 - Computers & Culture 3 CR
INT 208 - Introduction to Interdisciplinary Studies 3 CR
ISS 210 - Introduction to Information Systems Security 3 CR
MAT 115 - Elementary Statistics I 3 CR
MAT 261 - Applied Linear Algebra 3 CR
Complete one of the following (3 CR):
CIS 325 - Introduction to Machine Learning 3 CR
DSC 525 - Introduction to Machine Learning 3 CR
Complete one of the following (3 CR):
CIS 352 - Data Visualization 3 CR
DSC 552 - Data Visualization 3 CR
Complete one of the following (3 CR):
CIS 450 - Data Mining 3 CR
DSC 550 - Data Mining 3 CR
Complete one of the following (3 CR):
DSC 455 - Data Quality and Cleaning 3 CR
DSC 555 - Data Quality and Cleaning 3 CR

Complete one of the following. (3 CR):

Complete one of the following (3 CR):

Complete one of the following (3-4 CR):

MAT 125 - Calculus I 4 CR
MAT 280 - Discrete Mathematical Structures 3 CR

Data Science Electives (6-7 Credit Hours):

Choose two of the following (6-7):

BIO 435 - Applied Bioinformatics 4 CR
BUA 205 - Excel for Business Applications 3 CR
BUA 300 - Data Analytics for Accounting 3 CR
BUA 350 - Managerial Analytics 3 CR
BUA 379 - Accounting Information Systems 3 CR
CIS 135 - Introduction to Information Systems & Applications Development 3 CR
CIS 225 - Introduction to Health Informatics 3 CR
CIS 303 - Management Information Systems 3 CR
CIS 350 - Database Management 3 CR
CIS 355 - Introduction to Sensors 3 CR
CIS 360 - Geographical Information Systems 4 CR
CIS 370 - Statistical Quality Control 3 CR
DSC 100 - Data and Computing Literacy for the 21st Century 3 CR
DSC 289 - Topics in Data Science 1-6 CR Note: may be repeated
DSC 389 - Topics in Data Science 1-6 CR Note: may be repeated
DSC 489 - Topics in Data Science 1-6 CR Note: may be repeated
DSC 425 - Machine Learning II 3 CR
ISS 232 - Introduction to Cyber Forensics 3 CR
ISS 350 - Databases and Database Security 3 CR
ISS 372 - The Internet of Things (IoT) 3 CR
ISS 430 - Computer Forensics 3 CR
ISS 432 - System Forensics II 3 CR
ISS 434 - Mobile Forensics 3 CR
ISS 436 - Digital Evidence Analysis 3 CR
ISS 438 - Cybersecurity Investigations 3 CR
SOC 375 - Social Networks 3 CR
SOC 475 - Analyzing Social Media 3 CR
SSC 220 - Introduction to Research Literacy 3 CR
SSC 320 - Research Methods in Social Sciences 3 CR
SSC 330 - Science, Technology, and Social Inequalities 3 CR
SSC 360 - Qualitative Research Methods 3 CR
Complete one of the following (3 CR):
DSC 449 - Introduction to R Programming and Data Analysis 3 CR
DSC 549 - Introduction to R Programming 3 CR
Complete one of the following (3 CR):
DSC 454 - Advanced Python for Data Science 3 CR
DSC 554 - AI and Advanced Python 3 CR
Complete one of the following (3 CR):
PHI 450 - Ethics of Data Analysis and Representation 3 CR
PHI 550 - Ethics of Data Analysis and Representation 3 CR
Complete one of the following (3 CR):
POS 487 - Research Issues in Public Management 3 CR
TEM 587 - Research Issues and Data Literacy in Public Management 1-3 CR

Complete one of the following concentrations (30-32 Credit Hours):

Business Analytics Concentration (30-32 Credits):
Complete two of the following (6 CR):
Complete one of the following (3-4 CR):
- MAT 125 - Calculus I
- MAT 280 - Discrete Mathematical Structures
- Any approved MAT 200 or higher course (3-4 CR)
Complete one of the following (3 CR):
Social Science Concentration (31 Credits):
Complete three of the following (9 CR):
Complete one of the following (3 CR):
- CIS 380 - Internship
- SSC 420W - Social Science Capstone Experience
Crime Analysis Concentration (31 Credits):

Choose three of the following (9CR)

Choose one of the following (3CR)

Cyber Forensics (30 Credits):
Fraud Examination (30-31 Credits):
Social Media Concentration (30 Credits):
Self Designed Concentration (30-32 Credits):
- Complete one of the following (3):
  - CIS 380 - Internship
  - INT 495 - Capstone in Interdisciplinary Studies
- Complete one of the following (3-4):
  - MAT 125 - Calculus I
  - MAT 280 - Discrete Mathematical Structures
  - Any approved MAT 200 or higher course (3-4)
- Complete two Data Science electives (see listing in the core of the program) (3-4)
- Complete six 100 level or above elective courses in consultation with the Data Science faculty and a domain expert (18)
  NOTE: this will be processed as a substitution
- Submit the list of seven courses to be considered for the above requirement to the Coordinator of the Data Science program

Remaining General Education Requirements (28 Credit Hours):

This section is waived for those who hold a prior bachelors degree from a regionally accredited institution.

Complete any 100-level Communications course 3 CR
COM 102 , COM 160 , or COM 190 Encouraged for the Social Media Concentration and the Social Science Concentration
ENG 101 - College Writing 3 CR
ENG 317W - Professional Writing 3 CR
Complete any 100-level laboratory science course 4 CR

Complete two of the following Social Science electives (6):

ANT 1xx any 100-level anthropology course
ECO 1xx any 100-level economics course
ECO 201 - Macroeconomics 3 CR
ECO 202 - Microeconomics 3 CR
GEO 1xx any 100-level geography course GEO 101 encouraged for Social Science concentration
JUS 1xx any 100-level justice studies course
POS 1xx any 100-level political science course
PSY 1xx any 100-level psychology course PSY 100 recommended for Business analytics concentration
SOC 1xx any 100-level sociology course SOC 101 recommended for Social Science concentration
SSC 1xx any 100-level social science course

Complete one of the following Fine Arts electives (3):

ARC 100 - Architectural Design Studio for the Non-Majors 3 CR
ARH xxx any Art History course
ART xxx any Art course
DRA xxx any Drama course
ENG 351W - Creative Writing 3 CR
ENG 452W - Creative Writing II 3 CR
MUH 1xx any 100-level Music History course
MUS 1xx any 100-level Music course

Complete two of the following Humanities electives (6):

AME xxx any American Studies course
ARH 105 - History of Art and Architecture I 3 CR
ARH 106 - History of Art and Architecture II 3 CR
ASL 1xx/2xx any 100- or 200-level ASL course
DRA xxx any Drama course
ENG xxx any English course (except ENG 100 , ENG 101 , ENG 210W , ENG 317W or ENG 320W )
FRE xxx any French course
HGH xxx any Holocaust, Human Rights & Genocide course
HTY xxx any History course
HUM xxx any Humanities course
MUH xxx any Music History course
PHI xxx any Philosophy course
SPA xxx any Spanish course
WGS xxx any Women and Gender Studies course

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 are defaulted to the Business Analytics concentration. Before beginning coursework in their concentration, students should declare their concentration. Any General Education requirements fulfilled by other aspects of a student’s concentration can be replaced with free electives.

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