Program Planner Student Name:_______________________ Advisor Name:_______________________ Catalog: 2022-2023 Undergraduate Catalog
Data Science Minor Phone: 843.953.5730 Paul Anderson, Director The data science minor provides students an introduction to the field by developing their quantitative abilities in statistics and in data mining and giving students a broad overview of the field with some practical applications of data mining, programming, and databases. The primary goal of the data science minor is to increase the quantitative and analytical learning outcomes to students of all degree programs at the College who complete the minor. The curriculum of the minor exposes students to the nature of data science and builds a small skill set in data mining.
Minor Requirements Credit Hours: 19+ In addition to completing the requirements for this minor, students must also complete the minor requirements specified in the Academic Regulations section of this catalog.
Data Science (6 credit hours)
Course Name	Term Taken	Grade
DATA 101 Introduction to Data Science (3)
DATA 210 Dataset Organization and Management (3)
Computer Science (4 credit hours)
Course Name	Term Taken	Grade
CSCI 220 Computer Programming I (3) Prerequisite(s): CSCI 120 or CSCI 140 or CSCI 180 or CSCI 215 or MATH 116 or MATH 111 or higher math or permission of the department. Corequisite(s): CSCI 220L
CSCI 220L Programming I Laboratory (1) Prerequisite(s) or Corequisite(s): CSCI 220.
Mathematics (9-10 credit hours)
Course Name	Term Taken	Grade
MATH 116 Calculus for Business and Social Sciences (3) Prerequisite(s): Placement or MATH 110 or MATH 111
OR
MATH 120 Introductory Calculus (4) Prerequisite(s): Placement or C- or better in MATH 111

MATH 250 Statistical Methods I (3) Prerequisite(s): Placement or MATH 116 with a C- or better or MATH 111 or MATH 120
MATH 350 Statistical Methods II (3) Prerequisite(s): MATH 250; and either MATH 120 or MATH 116 with a C- or better; or permission of the instructor.
Notes: Honors students can take the alternative course of HONS 115 in lieu of MATH 120. Honors students can take the alternative course of HONS 217 in lieu of MATH 250. No more than 12 credit hours from CSCI 399 may be applied towards the program requirements.
Notes: This worksheet is not intended to replace face-to-face advising.

Program Planner

Student Name:_______________________ Advisor Name:_______________________ Catalog: 2022-2023 Undergraduate Catalog

Data Science Minor

Phone: 843.953.5730
Paul Anderson, Director

The data science minor provides students an introduction to the field by developing their quantitative abilities in statistics and in data mining and giving students a broad overview of the field with some practical applications of data mining, programming, and databases.

The primary goal of the data science minor is to increase the quantitative and analytical learning outcomes to students of all degree programs at the College who complete the minor. The curriculum of the minor exposes students to the nature of data science and builds a small skill set in data mining.

Minor Requirements

Credit Hours: 19+

In addition to completing the requirements for this minor, students must also complete the minor requirements specified in the Academic Regulations section of this catalog.

Data Science (6 credit hours)

Course Name

Term Taken

Grade

DATA 101 Introduction to Data Science (3)

DATA 210 Dataset Organization and Management (3)

Computer Science (4 credit hours)

Course Name

Term Taken

Grade

CSCI 220 Computer Programming I (3)

Prerequisite(s): CSCI 120 or CSCI 140 or CSCI 180 or CSCI 215 or MATH 116 or MATH 111 or higher math or permission of the department.

Corequisite(s): CSCI 220L

CSCI 220L Programming I Laboratory (1)

Prerequisite(s) or Corequisite(s): CSCI 220.

Mathematics (9-10 credit hours)

Course Name

Term Taken

Grade

MATH 116 Calculus for Business and Social Sciences (3)

Prerequisite(s): Placement or MATH 110 or MATH 111

MATH 120 Introductory Calculus (4)

Prerequisite(s): Placement or C- or better in MATH 111

MATH 250 Statistical Methods I (3)

Prerequisite(s): Placement or MATH 116 with a C- or better or MATH 111 or MATH 120

MATH 350 Statistical Methods II (3)

Prerequisite(s): MATH 250; and either MATH 120 or MATH 116 with a C- or better; or permission of the instructor.

Notes:

Honors students can take the alternative course of HONS 115 in lieu of MATH 120.
Honors students can take the alternative course of HONS 217 in lieu of MATH 250.
No more than 12 credit hours from CSCI 399 may be applied towards the program requirements.

Notes: This worksheet is not intended to replace face-to-face advising.