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Graduate Catalog 2020-2021

Data Science M.S.

The plan in Data Science leads to the Master of Science (M.S.) degree. This plan is designed to equip students with the capability of integrating a wide spectrum of interdisciplinary knowledge and skills to uncover and utilize data in order to produce, apply, and communicate value-adding intelligence for organizations and the society, in various key technical, analytical, architectural, and managerial positions.

 Requirements

Data Science Basic Preparation

Students entering the MS in DS program should hold a Bachelor degree with background in programming in Python or equivalent, data structures, and probability and statistics. Students without the necessary background can take the following three foundation courses

Foundation Course Requirements
DASC 5031 Python for Data Science
Credit Hours: 3
DASC 5032 Data Structures for Data Science
Credit Hours: 3
STAT 3334 Probability and Statistics for Scientists and Engineers
Credit Hours: 3

Additional Information

 None of the above courses may apply to the graduate degree.

Students may select from the thesis option or the extended course work option. The thesis option requires 33 credit hours of graduate work and the extended course work option requires 36 credit hours.

Core Requirements (21 hours)

Core Requirements (21 hours)
 The following courses, or approved substitutions, are required for both the thesis option and extended course work options
CINF 5432 Data Warehousing and Business Intelligence
Credit Hours: 3
CSCI 5388 Big Data Analytics
Credit Hours: 3
CSCI 5833 Data Mining: Tools and Techniques
DASC 5133 Introduction to Data Science
Credit Hours: 3
DASC 5333 Database Systems for Data Science
Credit Hours: 3
STAT 5135 Applied Statistical Methods
Credit Hours: 3
STAT 5532 Linear Models and Regression Analysis
Credit Hours: 3

Additional Information

 With the approval of the faculty adviser, students who have taken an equivalent course of a core required course in their undergraduate study will not need to retake the course. Instead, the required course will be replaced by an additional 3 credit hours of elective courses.

 

Data Science Thesis Option (12 hours)

Data Science Thesis Option (12 hours)
 6 hours of approved related courses
DASC 6969 Master's Thesis Research
Credit Hours: 6

Additional Information

 All information regarding the Data Science Thesis Option is current as of 10-28-2020 and supersedes all previously published information.

Students interested in pursuing the thesis option are encouraged to take DASC 5939 (Independent Study in Data Science) during their first year, in order to write up their thesis proposals (with the sponsoring of a faculty adviser). All electives must be approved before enrolling.

Data Science Extended Course Work Option (15 hours)

Data Science Extended Course Work Option (15 hours)
 Students desiring to follow the extended course work option must successfully complete the capstone project course (DASC 6838) and 12 hours of approved electives.
DASC 6838 Research Project and Seminar
Credit Hours: 3

Additional Information

 DASC 6838 must be taken after completion of the required core and during last 12 hours. All electives must be approved before enrolling.

Data Science Specializations

Data Science students pursuing the extended course work option should select 9 to 12 credits of courses in one of the following three specialization areas.

Business Analytics Specialization
CINF 5231 Strategic Information Systems
Credit Hours: 3
CSCI 5832 Financial Data Mining
DSCI 5131 Business Analytics I
Credit Hours: 3
ISAM 5330 Management Information Systems
Credit Hours: 3
MGMT 6135 Data Visualization and Communication
Credit Hours: 3

Additional Information

All information regarding the Data Science Business Analytics Specialization is current as of 10-28-2020 and supersedes all previously published information.

"Other Approved electives" are choices for the Business Analytics Specialization.

Cloud and Big Data Solutions Specialization
DASC 5231 Visualization in Data Science
Credit Hours: 3
DASC 5335 Deep Learning
Credit Hours: 3
CSCI 5355 Internet of Things (IoT)
Credit Hours: 3
CSCI 5335 Artificial Intelligence
Credit Hours: 3
Bioinformatics Specialization
BIOL 4341 Biochemistry I
Credit Hours: 3
BIOL 4351 Molecular Biology
Credit Hours: 3
BIOT 5733 Bioinformatics
Credit Hours: 3
CSCI 5933 Computational Bioinformatics

Additional Information

BIOL 4341 and BIOL 4351 have other BIOL courses as prerequisites.

All information regarding the Data Science Bioinformatics Specialization is current as of 10-28-2020 and supersedes all previously published information.

Student who have already taken this course in their undergraduate study should take an additional elective course below.

Bioinformatics Elective

Bioinformatics Elective
DASC 5231 Visualization in Data Science
Credit Hours: 3
BIOT 5011 Methods of Biotechnology Discussions
Credit Hours: 1
BIOT 5021 Methods of Biotechnology
Credit Hours: 2
BIOT 5431 Genomic Analysis
Credit Hours: 3
BIOT 5331 Stem Cell Biotechnology
Credit Hours: 3
BIOT 5433 Marine Biotechnology Seminar
Credit Hours: 3
BIOT 5535 Environmental Biotechnology
Credit Hours: 3

*Pending approval by SACSCOC