Data Science and Analytics (BS)

Learning Outcomes

1. Use the skills and knowledge from a strong foundation in Applied Math, Statistics and Computing.
2. Select from, use, and interpret results of descriptive statistical methods and inferential data science methods effectively.
3. Communicate the results of analyses accurately and effectively, in writing, orally and visually.
4. Make appropriate use of relevant software, using and modifying standard techniques.
5. Apply principles of leadership and reproducible research to make responsible decisions involving privacy, data management, and scientific rigor.
6. Demonstrate the ability to plan, manage, and document moderately sized projects.

Program Requirements

Core Courses (20 credits)

CS 112	Introduction to Computer Science	4
MATH 120	Calculus I	4
MATH 211	Linear Algebra	4
STAT 118	Introductory Statistics	4
STAT 228	Introduction to Data Science	4

NOTE: Students with strong backgrounds in either Introductory Statistics or Calculus, as determined by the placement test or AP score, may place out of STAT 118 and/or MATH 120 respectively.

Programming Depth (8 credits)

CS 214	Data Interoperability	4
CS 221	Database Management Systems	4

Statistical Depth (8 credits)

STAT 239	Regression and Design of Experiments	4
STAT 338/MATH 338	Probability	4

Mathematical Depth (8 credits)

MATH 121	Calculus II	4
MATH 220	Multivariable Calculus	4

Capstone (4 credits)

CS 346/STAT 346

Machine Learning

4

 

Typical Course Sequence for Data Science and Analytics Majors

Year 1

CS 112	Introduction to Computer Science	4
MATH 120	Calculus I	4
STAT 118	Introductory Statistics	4
STAT 228	Introduction to Data Science	4

Year 2

STAT 239	Regression and Design of Experiments	4
CS 214	Data Interoperability	4
MATH 121	Calculus II	4
MATH 220	Multivariable Calculus	4

Year 3

CS 221	Database Management Systems	4
MATH 211	Linear Algebra	4
STAT 338/MATH 338	Probability	4

Students take STAT 338 in the third or fourth year, depending on the offering schedule.
Students starting the major in their second year will combine the third and fourth year programs.

Year 4

CS 346/STAT 346	Machine Learning	4
STAT 338/MATH 338	Probability	4

 

Honors in Data Science and Analytics

In order to receive Honors in Data Science and Analytics a student must:

1. Maintain superior academic performance as indicated by a GPA of 3 .5 or higher in major and concentration courses taken at Simmons University.
2. Conduct independent research through the successful completion of an NSF-REU or similar research program or by completion of a thesis or project supervised within the Program which receives a grade of A- or A.
3. Communication of the work by presentation to the Program or another approved forum.