MS in Big Data Analytics
Master of Science in Big Data Analytics
On Campus / Online
36
$20,250
2 years
Program Overview
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.
Learning Goals
- Organize, manipulate, and summarize data in various formats.
- Convert a data analytic problem and related information into proper mathematical representation and select appropriate methodologies for analysis based on attributes of the available datasets.
- Implement security measures and ethical practices for collection and storage of data.
- Transfer (and transform) data from different platforms into usable contexts.
- Communicate and summarize results of data analysis in written, oral and visual form.
- Select the appropriate methods and tools for data analysis in specific organizational contexts.
Who is the Ideal Student for this program?
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.
Career Outlook
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.
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Meet the Department Chair
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.”
Courses
Students must earn a total of 36 college credit hours to receive this degree. Of these credit hours, 21 credits are core courses, and 15 elective credits.
In addition, students must meet the following criteria:
- Students enrolled in the graduate program must maintain a Cumulative Grade Point Average (CGPA) of at least 3.0 (B) out of 4.0 and earn a minimum grade of not less than 2.7 (B-) out of 4.0 on all courses to qualify to graduate.
- The Maximum Time Frame (MTF) for completion of the Master’s program is 60 credits.
- A graduate student may transfer up to 18 credit hours earned at accredited institutions.
To apply to Bay Atlantic University, the following materials are required:
—Completed Online Application
—Undergraduate Transcripts (official or officially notarized copy)
—Photocopy of Government-Issued ID (international students need a passport, undocumented students need proof of residency)
— Application fee $45
Additional Documents for International Students:
—Bank Statement (to show proof of adequate financial resources)
*If the bank statement is not in applicant’s name a Sponsorship Letter is required
*If the applicant has any dependents Passport Copies & Additional Materials may be required
—Official Bachelor Degree Transcript (to show Bachelor’s degree credentials)
*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.
SpanTran is our recommended international transcript evaluation service. They have created a custom application for Bay Atlantic University that will make sure you select the right kind of evaluation at a discounted rate. You can access their application here: SpanTran Application – Bay Atlantic University
—Proof of English Language Proficiency (below)
All applicants whose first language is not English must submit proof of English language proficiency. This requirement is waived if the applicant has completed four years of education at an English-language tertiary school. Otherwise, English language proficiency can be established by providing an official score report for one of our approved standardized English proficiency tests. Below are the tests and minimum scores accepted:
TOEFL: 600, 250, 100
TOEIC: 800
BAU Placement Test: 80 (offered on campus)
Duolingo: 90
Pearson (PTE): 53
Mentora College Intensive English Program: Pass 500C Course
For assistance or information on applying, please contact our Admission 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 21 credits are core courses and 15 credits are 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
LEARN MORE ABOUT OUR GRADUATION REQUIREMENTS
2. The Maximum Time Frame (MTF) for completion of the graduate program is 54 credits.
3. A graduate student may transfer up to 50% of credits earned at accredited institutions.
There is not a fixed program cost. The Board has the authority to change tuition and fees for each academic year. Such changes are announced to students via email, on the Academic Catalog, and on the webpage.
In 2022-2023 academic year, tuition per credit is $1,125. Students pay the total of the credits they enroll each semester.
In 2023-2024 academic year, tuition per credit will be $1,200. Students pay the total of the credits they enroll.
| Description | Fee |
| Application/Admissions Fees | |
| Application fee | $45 |
| Deferral fee | $45 |
| Admission Confirmation Deposit (refundable if visa is denied) | $200 |
| Mandatory Semester Fees | |
| Student activities and services fee | $125 |
| Technology fee | $135 |
| Mandatory one-time Fees | |
| Student ID card | $18 |
| As-applicable Fees | |
| Late registration fee | $75 |
| English Proficiency Test | $35 |
| Replacement Student ID card | $18 |
| Transcript processing fee | $10 (per transcript) |
| Returned check fee | $30 |
| Late payment fee | $25 |
| Cancellation fee* | $100 |
| International postage of documents | $130 |
| Cap and Gown Fee | $130 |
| Diploma / Graduation fee | $100 |
| Diploma Replacement fee | $100 |
| Administrative Services Fee** | $1,500 |
*When students cancel their enrollment within 3 business days of the beginning of a semester
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
LEARN MORE ABOUT OUR GRADUATION REQUIREMENTS
2. The Maximum Time Frame (MTF) for completion of the graduate program is 54 credits.
3. A graduate student may transfer up to 50% of credits earned at accredited institutions.
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