DASC Core Curriculum

Pre-Requisite
Pre/Co-Req.
Post-Requisite

 

DASC Core Curriculum 2020-21
MATH 2554
Calculus I                         
Calculus I
Credit will be allowed for only one of MATH 2554 and MATH 2043. Prerequisite: MATH 1213 with a grade of C or better, or MATH 1284C with a grade of C or better, or a score of at least 76 on the Math Placement Test, or a score of at least 28 on the math component of the ACT exam, or a score of at least 640 on the math component of the old SAT or 660 on the math component of the new SAT, or a score of at least 2 on the Calculus AB or BC Advanced Placement Exam.
Post-Requisite: MATH 2564
Approved   Science
Elective
University Core Science Elective

(course with Lab)
ENGL 1013
English Composition I
Composition I
Prerequisite: ENGL 0002 or

an acceptable score on
the English section of the ACT
or another approved test.
DASC 1001
Into. to Data Science
Intro. to Data Science
Required Core
DASC 1104
Prog. Lang. for Data Science
Programming Languages for Data Science (R, Python)
Required Core

MATH 2564
Calculus II                         
Calculus II
Pre-Requisite: MATH 2554

with C or better
Co-Requisite: None
Post-Requisite: INEG 2313
U.S. Gov. or History
                                
History or Government

From Univ. Core
ENGL 1033
Technical Composition II
ENGL 1033 Tech. Comp. II

(Comp. II - Alternative)
Pre-Requisite: ENGL 1013
Co-Requisite: None
Post-Requisite: None
DASC 1204
Intro. to Obj. Orien. Prgmmg.
Intro. to Object Oriented Programming (JAVA)
Pre-Requisite: DASC 1104

Co-Requisite: None
Post-Requisite: None
DASC 1222
Role of Data Science
Role of Data Science in
Today's World

Required Core

DASC 2594
Multivariable Math
Multivariable Math

for Data Scientists
Pre-Requisite:
MATH 2564, DASC 1104
Co-Requisite: None
Post-Requisite: None
INEG 2313
Prob. & Stat. I                    
Applied Probability and

Statistics for Engineers I
(STAT 3013 Intro. to Probability & Statistics + STAT 3023
(formerly 4003) Statistical Methods (DASC section))
can be substituted for
(INEG 2313 + INEG 2333)
Pre-Requisite: MATH 2564
Pre/Co-Requisite: None
Post-Requisite: INEG 2333
DASC 2103
Data Structures & Algorithms
Data Structures and Algotrithms
Pre-Requisite: DASC 1204

Co-Requisite: None
Post-Requisite: None
DASC 2113
Princ. & Tech. of Data Sci.
Principles and Techniques of Data Science
Pre-Requisite: MATH 2564

Co-Requisite: None
Post-Requisite: None
Fine   Arts
Elective                                       
Fine Arts Elec.
From University Core

MGMT 2053
Business Foundations
Business Foundations

(Data Science Section)
Pre-Requisite: None
Pre/Co-Requisite: None
Post-Requisite: None
INEG 2333
Prob. & Stat. II                    
Applied Probability and

Statistics II
Pre-Requisite: INEG 2313
Co-Requisite:
Drill Component
Post-Requisite: None
DASC 2203
Data Mngmnt. & Data Base
Data Management & Data Base
Pre-Requisite: DASC 1204

Co-Requisite: None
Post-Requisite: None
DASC 2213
Data Vis. & Comm.
Data Visualization & Communication
Pre-Requisite:

DASC 1104, DASC 1222
Co-Requisite: None
Post-Requisite: None
Required
Concentration Course
Required Concentration Course

DASC 1001
Intro. to Data Science
DASC 1104
Prog. Lang. for Data Sci.
DASC 1204
Intro. to Object
Oriented Prgram.
DASC 2594
Multi. Variable Math
DASC 1222
Role of Data Science in
Today's World
DASC 2103
Data Struct. & Algorithms
DASC 2113
Princ. & Tech. of Data Sci.
DASC 2203
Data Manag. & Data Base
DASC 2213
Data Visual. & Comm.
DASC 3203
Cloud Computing & Big Data
DASC 3203
Optimization Methods
DASC 3213
Statistical Learning
DASC 4892
Data Science Pract. I
DASC 4113
Mach. Learning
DASC 4123
Social Problems in
DASC Analytics
DASC 4993
Data Science Pract. II

PHIL 3103
Ethics & the Professions
Ethics & the Professions

Pre-Requisite: None
Pre/Co-Requisite: None
Post-Requisite: None
DASC 3103
Cloud Comp. & Big Data
Cloud Computing & Big Data

Pre-Requisite:
DASC 2203, DASC 2594
Co-Requisite: None
Post-Requisite: None
Required
Concentration Course
Required Concentration Course

DASC 1001
Intro. to Data Science
DASC 1104
Prog. Lang. for Data Sci.
DASC 1204
Intro. to Object
Oriented Prgram.
DASC 2594
Multi. Variable Math
DASC 1222
Role of Data Science in
Today's World
DASC 2103
Data Struct. & Algorithms
DASC 2113
Princ. & Tech. of Data Sci.
DASC 2203
Data Manag. & Data Base
DASC 2213
Data Visual. & Comm.
DASC 3203
Cloud Computing & Big Data
DASC 3203
Optimization Methods
DASC 3213
Statistical Learning
DASC 4892
Data Science Pract. I
DASC 4113
Mach. Learning
DASC 4123
Social Problems in
DASC Analytics
DASC 4993
Data Science Pract. II
Approved   Science
Elective
University Core Science Elective

(course with Lab)
Approved  Social Science
Elective
University Core

Social Science Elective

DASC 3203
Opt. Mtds. in Data Science
Optimization Methods

in Data Science
Pre-Requisite:
DASC 2594, DASC 2113
Co-Requisite: None
Post-Requisite: None
DASC 3213
Stat. Learning                    
Statistical Learning

Pre-Requisite:
(STAT 3013 & STAT 3003) or
(INEG 2313 & INEG 2333);
DASC 1104 or CSCE 2004
Co-Requisite: None
Post-Requisite: None
Required
Concentration Course
Required Concentration Course

DASC 1001
Intro. to Data Science
DASC 1104
Prog. Lang. for Data Sci.
DASC 1204
Intro. to Object
Oriented Prgram.
DASC 2594
Multi. Variable Math
DASC 1222
Role of Data Science in
Today's World
DASC 2103
Data Struct. & Algorithms
DASC 2113
Princ. & Tech. of Data Sci.
DASC 2203
Data Manag. & Data Base
DASC 2213
Data Visual. & Comm.
DASC 3203
Cloud Computing & Big Data
DASC 3203
Optimization Methods
DASC 3213
Statistical Learning
DASC 4892
Data Science Pract. I
DASC 4113
Mach. Learning
DASC 4123
Social Problems in
DASC Analytics
DASC 4993
Data Science Pract. II
ECON 2143
Basic Econ.                    
Gen. Ed. Basic Economics: Theory & Practice
Pre-Requisite: None

Pre/Co-Requisite: None
Post-Requisite: None
Approved  Social Science
Elective
University Core

Social Science Elective

DASC 4113
Mach. Learn.                    
Machine Learning

Pre-Requisite:
DASC 3203, DASC 2103
Co-Requisite: None
Post-Requisite: None
DASC 4123
Social Prob. in DASC
Social Problems in

DASC & Analytics
Pre-Requisite: DASC 1222
Co-Requisite: None
Post-Requisite: None
Concentration
Elective                                       
Concentration
Elective

FINN 3013
Financial Analysis;
ECON 3033
Microeconomic Theory;
ECON 4743
Introduction to Econometrics;
ECON 4753
Forecasting;
MKTG 3433
Principles of Marketing; or
MKTG 3633
Marketing Research
Concentration
Elective                                       
Concentration
Elective

FINN 3013
Financial Analysis;
ECON 3033
Microeconomic Theory;
ECON 4743
Introduction to Econometrics;
ECON 4753
Forecasting;
MKTG 3433
Principles of Marketing; or
MKTG 3633
Marketing Research
DASC 4892
Data Sci. Pract. I                    
Data Science Practicum I

Pre-Requisite: [DASC 2113 & DASC 2213 & DASC 3203]
Co-Requisite: [DASC 3213 & DASC 4113 & DASC 4123]
Post-Requisite: None

Concentration
Elective                                       
Concentration
Elective

FINN 3013
Financial Analysis;
ECON 3033
Microeconomic Theory;
ECON 4743
Introduction to Econometrics;
ECON 4753
Forecasting;
MKTG 3433
Principles of Marketing; or
MKTG 3633
Marketing Research
Concentration
Elective                                       
Concentration
Elective

FINN 3013
Financial Analysis;
ECON 3033
Microeconomic Theory;
ECON 4743
Introduction to Econometrics;
ECON 4753
Forecasting;
MKTG 3433
Principles of Marketing; or
MKTG 3633
Marketing Research
Approved General
Elective
General Elective
(Possible Catch-Up Credit)
DASC 4993
Data Sci. Prac. II                    
Data Science Practicum II

Pre-Requisite:
DASC 4892 with C or better
Co-Requisite: None
Post-Requisite: None