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Data Science B.S. with Data Science Statistics Concentration

Data Science B.S. with Data Science Statistics Concentration
Eight-Semester Program

First YearUnits
FallSpring
²Ñ´¡°Õ±áÌý24004 Calculus I (ACTS Equivalency = MATH 2405) (Satisfies General Education Outcome 2.1)14 Ìý
ENGLÌý10103 Composition I (ACTS Equivalency = ENGL 1013) (Satisfies General Education Outcome 1.1)3 Ìý
DASCÌý10003 Introduction to Data Science3 Ìý
DASCÌý11004 Programming Languages for Data Science4 Ìý
MATHÌý25004 Calculus IIÌý 4
ECONÌý21403 Basic Economics: Theory and Practice (Satisfies General Education Outcome 3.3)Ìý 3
ENGLÌý10303 Technical Composition II (ACTS Equivalency = ENGL 1023) (Satisfies General Education Outcome 1.2)Ìý 3
DASCÌý12004 Introduction to Object Oriented Programming for Data ScienceÌý 4
DASCÌý12203 Role of Data Science in Today's WorldÌý 3
Year Total: 14 17
Ìý
Second YearUnits
FallSpring
DASCÌý25904 Multivariable Math for Data Scientists4 Ìý
STATÌý30133 Introduction to Probability4
or INEGÌý23203 Probability and Stochastic Processes for Industrial Engineers
3 Ìý
DASCÌý22103 Data Visualization and Communication3 Ìý
DASCÌý21103 Principles and Techniques of Data Science3 Ìý
State Minimum Core U.S. History or Government Elective (Satisfies General Education Outcome 4.2)23 Ìý
SEVIÌý20503 Business Foundations (Data Science Majors-only section)Ìý 3
STATÌý30043 Statistical Methods4
or INEGÌý23104 Statistics for Industrial Engineers I
Ìý 3-4
State Minimum Core Natural Science Elective with Lab (Satisfies General Education Outcome 3.4)2Ìý 4
DASCÌý22003 Data Management and Data BaseÌý 3
STATÌý31133 Introduction to Mathematical StatisticsÌý 3
Year Total: 16 16
Ìý
Third YearUnits
FallSpring
DASCÌý21303 Data Privacy & Ethics (Satisfies General Education Outcome 5.1)3 Ìý
DASCÌý31003 Big Data Analytics with Cloud Computing3 Ìý
State Minimum Core Social Sciences Elective (Satisfies General Education Outcomes 3.2 and 3.3)23 Ìý
State Minimum Core Natural Science Elective with Lab (Satisfies General Education Outcome 3.4) 24 Ìý
STATÌý43733 Experimental Design3 Ìý
DASCÌý32003 Optimization Methods in Data ScienceÌý 3
DASCÌý32103 Statistical LearningÌý 3
STATÌý43333 Analysis of Categorical ResponsesÌý 3
State Minimum Core Social Sciences Elective (Satisfies General Education Outcomes 3.3 and 4.1)2Ìý 3
State Minimum Core Fine Arts Elective (Satisfies General Education Outcome 3.1)2Ìý 3
Year Total: 16 15
Ìý
Fourth YearUnits
FallSpring
DASCÌý48902 Data Science Practicum I2 Ìý
DASCÌý41103 Machine Learning3 Ìý
DASCÌý41203 Social Problems in Data Science and Analytics3 Ìý
STATÌý40133 Statistical Forecasting and Prediction (Statistical Forecasting and Prediction)3 Ìý
Data Science Statistics Concentration Elective3 Ìý
DASCÌý49903 Data Science Practicum II (Satisfies General Education Outcome 6.1)Ìý 3
Data Science Statistics Concentration ElectiveÌý 3
Data Science Statistics Concentration ElectiveÌý 3
General Elective3Ìý 2-3
Year Total: 14 12
Ìý
Total Units in Sequence:Ìý 120
1

Students have demonstrated successful completion of the learning indicators identified for learning outcome 2.1, by meeting the prerequisites for ²Ñ´¡°Õ±áÌý24004.

2

Students must complete theÌýState Minimum Core requirementsÌýas outlined in the Catalog of Studies. The courses that meet the state minimum core also fulfill many of the university'sÌýGeneral Education requirements, although there are additional considerations to satisfy the general education learning outcomes. Students are encouraged to consult with their academic adviser when making course selections.Ìý

3

Students are required to complete 40 hours of upper-division courses (3000-4000 level).Ìý It is recommended that students consult with their adviser when making course selections.

4

Data Science Statistics and Computational Analytics Concentration students are advised to select STATÌý30133/STATÌý30043 to meet the prerequisites required in the concentration.