Data Science Pedagogy Certificate

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Learn how to integrate data science into classroom instruction in any field and prepare students to meet the growing demand for data science expertise in the context of the artificial intelligence revolution and the ongoing digital transformation of industry and society.

The Graduate Certificate in Data Science Pedagogy is a program that requires a minimum of 12 credit hours and is designed to prepare K-14 instructors to integrate data science into instruction with the overall goal of preparing students to meet the growing demand for data science expertise in the context of ongoing digital transformation of industry: the process by which firms integrate digital technology into every aspect of operations and bring value to customers. To be credentialed to deliver data science instruction at the higher education level, students are required to take a minimum additional of 6 credit hours of course work to be selected by the students and approved by the Data Science Pedagogy Graduate Certificate committee.

Organizations in every industry, including education that do not embrace digital transformation will struggle to survive the fourth industrial revolution with its dependence on automation through artificial intelligence and the blurring of boundaries between the physical and digital worlds. To remain competitive in this environment, Mississippi businesses require middle-skill and high-skill data science experts. Mississippi's education and workforce development system must meet this growing demand to remain economically competitive. Yet Mississippi's educators, like those in the rest of the nation, lack adequate preparation to infuse data science into their curricula and instruction. To meet this need, the certificate includes coursework with the twofold purpose of (1) helping instructors become literate in the field of data science by understanding the role data science experts play in improving the performance of institutions, organizations, business, and society; and (2) teaching instructors how to teach the practice of data science in their own classrooms, regardless of subject.

Tuition & Fees

Tuition per credit hour	$581.00
Instructional Support Fee per credit hour	$25.00

Tuition and fees listed are subject to change and do not include all possible charges. Additional fees may apply. Please refer to the master class schedule for individual course charges.

Students who complete the Graduate Certificate in Data Science Pedagogy will be able to:

Define data science as a field of inquiry and an industry sector.
Outline the role of data science in the context of artificial intelligence and the digital transformation of institutions, organizations, businesses, and society.
Outline data science methods and practices in the context of the entire data lifecycle, including the production, acquisition, storage, and use of data to solve human problems.
Apply and integrate principles of data science into classroom instruction.

Program Structure

Course Code	Course Name	Credit Hours
DSCI 8013	Data Science Literacy Pedagogy 1: Governance, Ethics, and Data Science Applications	3
DSCI 8023	Data Science Literacy Pedagogy 2: Technical Overview of Data Science Methods and Strategies	3
DSCI 8033	Data Science Classroom Integration	3
CSE 8423	Data Science: Concepts and Practice	3
	Total Hours	12

Admissions Process

Graduate Admissions

Applications for the degree programs are reviewed three times a year. The application deadlines for those semesters are as follows:

Fall Semester – August 1
Spring Semester – December 1
Summer Semester – May 15
1. Submit an online application. You will choose Data Science Pedagogy as your program of interest and Online Education as your campus.
2. One official transcript showing bachelor’s degree or progress toward degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.)
3. One official transcript showing ALL work after bachelor’s degree. (For international students, please submit a copy in native language along with translated copies, if appropriate.)
  - Electronic transcripts should be sent to: gradapps@grad.msstate.edu Mississippi State University, Graduate School. Only one copy of an electronic transcript is required.
  - Paper Transcripts Address (USPS):
    Mississippi State University
    The Office of the Graduate School
    P.O. Box G
    Mississippi State, MS 39762
  - Physical Street Address (for DHL, Fed Ex, UPS, DHS, etc.):
    Mississippi State University
    The Office of the Graduate School
    175 President Circle
    116 Allen Hall
    Mississippi State, MS 39762
4. Pay $60 non-refundable application processing fee

PLEASE NOTE

In general, students who are not admitted into a degree program are not eligible for student financial aid funds. For more information please visit Student Financial Aid to see if you will be eligible or not while taking courses for the Data Science Pedagogy.

Attention International Students

Applicants whose native language is not English must submit the results of either the TOEFL or IELTS exam. Prospective students should contact ETS (TOEFL) or IELTS for testing information. The Graduate School maintains a list of countries exempt from English language requirements. Please consult the Graduate Catalog for specific English Language test score requirements.

TOEFL Essentials	TOEFL iBT	IELTS	Admission Eligibility	Outcome
9 and above	79 and above	6.5 and above	Eligible for admission for any term and a graduate assistantship	Considered proficient in English. Applicant is not required to enroll in an ESL course unless his/her academic program requires a higher test score.
8.0-8.5	69-78	6.0-6.4	Eligible for admission for Fall, Spring, or Summer and a graduate assistantship.	Scores indicate a need for assistance in English writing, research, and editing skills. Applicant must enroll in EAP 5323 Academic Research and Writing. Student may enroll in up to 6 credit hours in his/her graduate program.
7.0-7.5	61-68	5.5-5.9	Eligible for admission for the Fall & Spring terms only. Not eligible for a graduate assistantship until ESL requirements are met.	Applicant is required to enroll in ESL 5120, a 9-hour intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student must complete this course prior to registering for courses in his/her graduate program. The student must then enroll in EAP 5323.
6.0-6.5	54-60	4.6-5.4	Eligible for admission for the Fall term only. Not eligible for a graduate assistantship until ESL requirements are met.	Applicant is required to enroll in ESL 5110, an intensive English course (graded on a Satisfactory/Unsatisfactory basis). The student cannot enroll in courses in his/her program until ESL 5110 and ESL 5120 have been successfully completed. The student must then complete ESL 5120 before proceeding to enroll in EAP 5323.
5.5 and below	53 and below	4.5 and below	Not eligible for admission to the Graduate School.	Applicant can enroll in the English Language Institute on a non-credit basis after which he/she can retake the English-language test in preparation for submitting another application to graduate study at MSU.

Academic Advising

After gaining admission to the university, you must contact your assigned advisor to determine the courses most appropriate to take. Before the upcoming semester, your advisor will send an email to your MSU email account, making course recommendations based on your program of study.

Mississippi State University uses email as its official means of communication with all MSU students. Please check your MSU email account (NetID@msstate.edu) daily. Information on setting up your MSU email can be found at the link for student services.