On Campus / Online
36
$20,250
2 years
The program is designed to meet the increasing need for highly skilled data analysts who can analyze the growing amount of data confronting in a variety of disciplines and transform it into usable information for use in decision-making. The program delivers rigorous training in computational techniques and provides mastery of data analysis. Students can expect to play a greater role in decision making and strategy setting for their current or future organizations, adding significant value. The program will provide students with frameworks for critically looking at data, interpreting and visualizing data, and applying that knowledge in real-world applications that will shape how 21st century business challenges are addressed.
A data analyst is the one who collects, organizes and analyzes large sets of data (known as Big Data) to discover patterns and some other useful information. Data mining and Data auditing are must have skills to become a Data Analyst. There are certain other skills that a Data Analyst must possess: knowledge about analytical tools, testing skills, basic statistical skills, machine learning, and data visualization.
All courses are conducted on campus. To succeed in this program, students should be self-disciplined, self-directed and comfortable scheduling their own coursework.
The program will prepare students for job positions such as data analyst, database administrator, database developer, data modeler, data scientist, business intelligence analyst, database manager, data warehouse manager, data architect, big data engineer, and data scientist.
Please Click here or just give us a call at (202) 644-7200 to speak with an admissions advisor.
Pipop Nuangpookka, PhD
Dr. Pipop Nuangpookka is the Chair of Information Management Science Program and Director of Distance Education at Bay Atlantic University.
Dr. Pipop Nuangpookka has been working as an Analyst/Programmer, Infrastructure Technologies, and Infrastructure Security since the year 2005. While working in the IT industry as a technical person, He started teaching in Computer Science, Information Technology, and Cybersecurity disciplines at several universities in Washington, DC, and Northern Virginia area in 2007. The various courses include Introduction to Computer Science, Computer Network, Computer Programming Languages (i.e., Java, Python, C, C++, ML, and Prolog), Structure of Programming Languages, Software Engineering, Data Structures & Algorithms, Database Management System (i.e., MS SQL Server, Oracle, MySQL, and SQL/PLSQL), Web Application Development and Security, Technology Management, and Technical Capstone Project. Dr. Nuangpookka graduated with a Bachelor’s Degree in Business Administration from Payap University, Thailand, in 1999, and a Master’s Degree in Computer Science in 2004 from Marymount University, Arlington, Virginia. He also earned a Doctor of Science Degree in Cybersecurity at Marymount University in 2020. His research interests are Non-Destructive Method of Detecting Hardware Attack, Personally Identifiable Information (PII) Security Controls, Web Server Protection, and Bilingual Translator Programming. He is a co-author of scholarly papers published in the Journal of Computing Sciences in Colleges/ACM digital library, including “Hardware-Tampering Security Risks in the Supply Chain” and “Fileless Malware and Programmatic Method of Detection.”
Students must earn a total of 36 college credit hours to receive this degree. Of these credit hours, 24 credits are core courses, and 12 concentration elective credits.
In addition, students must meet the following criteria:
Official Bachelor’s transcript (must be in English)
Photocopy of government-issued ID (International students need a passport)
2 letters of recommendation (from former teachers, employers, coaches, etc.)
Letter of Intent – 1-2 page essay on ONE of the following topics:
Additional Documents (For International Students ONLY)
If the Bachelor’s degree was issued by a foreign institution of higher education, the applicant must provide an evaluation of the transcript from a NACES-member (http://www.naces.org) or an AICE member (http://www.aice-eval.org) credential evaluation service to establish U.S. equivalency of a Bachelor’s degree. The evaluation must be a course-by-course evaluation of the transcript.
If the Bachelor’s degree transcript is NOT in English, the applicant must provide a certified English translation.
If the transcript does not clearly indicate the degree awarded, the applicant must provide a notarized copy of the college or university diploma.
Proof of English language proficiency*
All applicants whose first language is not English must submit proof of English language proficiency to Bay Atlantic University (BAU). The requirement is waived if:
All other applicants must establish proficiency by providing an official score report of one of our approved standardized English proficiency tests (TOEFL, IELT, TOEIC)
EXAM SCORES:
IELTS – 6.0
Duolingo – 90
TOEFL – 80
TOEIC – 700
BAU Placement Test – 75
Mentora ESL Program – 500C Level
*For assistance of information on applying, please contact our Admissions team at [email protected]
**For our Frequently Asked Questions, please visit https://bau.edu/faq/
Graduation Requirements
The Master of Science in Big Data Analytics degree is earned by completing the program course requirements of 36 credit hours (12 courses of 3 credit hours), of which 24 credits are core courses and 12 credits are concentration elective courses. To qualify for the Master of Science in Big Data Analytics degree, students must meet all core and concentration elective credit requirements.
Students should meet the following minimum requirements to qualify for a graduate degree:
Minimum Passing Grade Per Course B-
CGPA 3.00
Total Required Credits 36
Note: Tuition rates are subject to change and additional fees may vary by program. Please call at (202) 644-2725 for more information.
Per Credit Hour Yearly Tuition
$1,125 $20,250
Graduation Requirements
The Master of Science in Big Data Analytics degree is earned by completing the program course requirements of 36 credit hours (12 courses of 3 credit hours), of which 24 credits are core courses and 12 credits are concentration elective courses. To qualify for the Master of Science in Big Data Analytics degree, students must meet all core and concentration elective credit requirements.
Students should meet the following minimum requirements to qualify for a graduate degree:
Minimum Passing Grade Per Course B-
CGPA 3.00
Total Required Credits 36
Complete this form and a BAU Admission Advisor will contact you and provide further assistance.