Data Science Major, BS in Data Science

Campus

Knoxville

uTrack Requirements

Universal Tracking (uTrack) is an academic monitoring system designed to help students stay on track for timely graduation. In order to remain on track, students must complete the minimum requirements for each tracking semester, known as milestones. Milestones include successful completion of specified courses and/or attainment of a minimum GPA. uTrack requirements only affect full-time, degree-seeking students.

Term 1

• Natural Sciences Elective 3 Credit Hours *
• Quantitative Reasoning Elective 3-4 Credit Hours *
• Elective 3 Credit Hours

• DATA 101 - Data Knowledge and Discovery 3 Credit Hours *
• ENGL 101 - English Composition I 3 Credit Hours * (or equivalent)

Term 2

• Applied Oral Communication Elective 1-3 Credit Hours *
• Natural Sciences Elective with Laboratory 4 Credit Hours *
• Elective 3 Credit Hours

• DATA 102 - Data Stewardship and Ethics 3 Credit Hours
• ENGL 102 - English Composition II 3 Credit Hours * (or equivalent)

Term 3

• ¹ Expanded Perspectives Elective 3 Credit Hours *
• Elective 3 Credit Hours
• Elective 3 Credit Hours
• Oral Communication Elective 3 Credit Hours *

• DATA 202 - Data Management and Visualization 3 Credit Hours

Term 4

• Global Citizenship - International (GCI) Elective 3 Credit Hours *
  
• Social Sciences Elective 3 Credit Hours *
• Written Communication Elective 3 Credit Hours *
• Elective 3 Credit Hours

• DATA 203 - Analytical Methods of Data Science 3 Credit Hours *

Term 5

• Global Citizenship - United States (GCUS) Elective 3 Credit Hours *
  
• Applied Arts and Humanities Elective 3 Credit Hours *

• DATA 303 - Advanced Data Analysis 3 Credit Hours
• DATA 399 - Junior Capstone 3 Credit Hours

• Choose one:

• DATA 375N - Internship 3 Credit Hours
• DATA 385 - Research in Data Science 3 Credit Hours

Term 6

• Elective 3 Credit Hours
• ² Data Sciences Elective 3 Credit Hours (300-400 level major courses)
• ^{​​​​​​​3} Engaged Inquiries Elective 3 Credit Hours *
• Arts and Humanities Elective 3 Credit Hours *

• DATA 304 - Data Wrangling 3 Credit Hours

Term 7

• ^{​​​​​​​2} Data Sciences Elective 3 Credit Hours (300-400 level major courses)
• ^{​​​​​​​2} Data Sciences Elective 3 Credit Hours (300-400 level major courses)
• ³ Engaged Inquiries Elective 3 Credit Hours *

• DATA 401 - Visual Analytics 3 Credit Hours

• Choose one:

• DATA 475N - Internship 3 Credit Hours
• DATA 485 - Research in Data Science 3 Credit Hours

Term 8

• ² Data Science Elective 3 Credit Hours (300-400 level major courses)
• ² Data Sciences Elective 3 Credit Hours (300-400 level major courses)
• Elective 3 Credit Hours
• ³ Engaged Inquiries Elective 3 Credit Hours *

• DATA 499 - Data Science Capstone 3 Credit Hours

Total Credit Hours 120

Footnotes

1. Expanded Perspectives Electives must total 6 credit hours from any courses on the approved AH, SS, GCI, or GCUS or AAH lists.
2. Students need to accumulate 15 Credit Hours (at least 5 Courses) of upper-level courses from the list below (“DATA elective courses”).
3. Engaged Inquiries electives must total 9 credit hours from two or more subjects.

* Meets Volunteer Core Requirements.

DATA Elective Courses

Students need to accumulate 15 Credit Hours (at least 5 Courses) from this list. Please consult course catalog for any prerequisite requirements.

• ANTH 446 - Archaeological Statistics 3 Credit Hours
• PHIL 371 - Epistemology 3 Credit Hours
• BAS 320 - Regression Modeling 3 Credit Hours
• BAS 471 - Statistical Methods 3 Credit Hours
• BAS 474 - Data Mining and Business Analytics 3 Credit Hours
• BAS 476 - Data Engineering and Visualization 3 Credit Hours
• BCMB 422 - Computational Biology and Bioinformatics 3 Credit Hours
• COSC 325 - Introduction to Machine Learning 3 Credit Hours
• COSC 362 - Introduction to Computer Networks 3 Credit Hours
• COSC 370 - Introduction to Scientific Computing 3 Credit Hours
• COSC 422 - Applied Machine Learning 3 Credit Hours
• COSC 426 - Introduction to Data Mining and Analytics 3 Credit Hours
• COSC 445 - Fundamentals of Digital Archeology 3 Credit Hours
• COSC 465 - Databases and Scripting Languages 3 Credit Hours
• EEB 411 - Biostatistics 3 Credit Hours
• EEB 451 - Research Ethics 3 Credit Hours
• ESM 250 - Applied Statistical Concepts for Decision Makers 3 Credit Hours
• FWF 313 - Measurements and Sampling 3 Credit Hours
• FWF 430 - Introduction to Geographic Information Systems (GIS) for Natural Resources 3 Credit Hours
• GEOG 311 - Geovisualization and Geographic Information Science 3 Credit Hours
• GEOG 414 - Spatial Data Management 3 Credit Hours
• GEOG 421 - Maps, Society, Power 3 Credit Hours
• GEOG 425 - Human Dimension in GIScience 3 Credit Hours
• IE 301 - Operations Research I: Deterministic Models 3 Credit Hours
• IE 310 - Operations Research II: Probabilistic Models 3 Credit Hours
• IE 340 - Design of Experiments 3 Credit Hours
• IE 421 - Information Systems Analysis and Design 3 Credit Hours
• IE 465 - Applied Data Science 3 Credit Hours
• INSC 260 - Programming for Information Applications 3 Credit Hours
• INSC 305 - Internet and Society 3 Credit Hours
• INSC 384 - Database Design 3 Credit Hours
• INSC 484 - Database Applications 3 Credit Hours
• INSC 486 - Data Analytics 3 Credit Hours
• INSC 489 - Information Visualization 3 Credit Hours
• MATH 323 - Probability and Statistics 3 Credit Hours
• MATH 371 - Numerical Algorithms 3 Credit Hours
• MATH 423 - Probability 3 Credit Hours
• MATH 424 - Stochastic Processes 3 Credit Hours
• MATH 425 - Statistics 3 Credit Hours
• PHIL 360 - Philosophy of Science 3 Credit Hours