BS DATA ANALYTICS CURRICULUM 

 

Suggested Curriculum             2019-2020 Academic Year
FALL SEMESTER       SPRING SEMESTER
YEAR 1                
  ECCS 1011 Python and Problem Solving 3         ECCS 2011 Intro to Data Science 3
  MATH 1631 Calculus 1 4         STAT 2561 Statistics for Professionals 2 3
  STAT 1561 Statistics for Professionals 1 3           Distribution Requirement 3
  ENGL 1221 Writing Seminar 3           Distribution Requirement 3
  TREX 1001 Transitions Experience  3           Distribution Requirement  3
      16             15
YEAR 2                  
  ECCS 2671 Data Structures and Algorithms 1 3         ECCS 2021 Machine Learning 3
  STAT 3581 Statistical Computing with R 3         ECCS 3481 Databases 3
    Subject Area Course 3           Subject Area Course 3
    Diversity Seminar 3         PHIL 2401 Professional Ethics 3
    Distribution Requirement 3           Distribution Requirement  3
      15             15
YEAR 3                  
  ECCS 3021 Data Mining (every other year) 3         STAT 3571 Statistical Computing with SAS 3
    Subject Area Course 3           Distribution Requirement 3
    Distribution Requirement 3           Elective 3
    Elective 3           Elective 3
    Elective 3           Elective 3
      15             15
YEAR 4                  
  ECCS 3031 Big Data Analytics (every other year) 3         DATA 40x1 4001 Capstone or 4021 Internship 3
    Elective 3           Elective 3
    Elective 3           Elective 3
    Elective 3           Elective 3
    Elective 3           Elective (at least 2 hours) 2
      15             14
             
This should be used as a guide only.  Semester offerings are subject to change. Required Hours = 120
                     
Distribution Requirements for this BS degree - see Degree Works for details
• 2 Humanities • 1 Fine Art • 1 Communication Studies • 2 Natural Sciences • 1 Social Science