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
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 54 credits.
A graduate student may transfer up to 9 credit hours earned at accredited institutions.
Understand the theories and methodologies of data science applied to Big Data and Data Mining, including principles, frameworks, and models for transferring, transforming, analyzing, and interpreting data.
Convert a data analytic problem and related information into a proper mathematical, statistical representation, and usable contexts by using appropriate methodologies for transferring, transforming, and analyzing based on attributes of the available datasets.
Apply advanced and intelligent computer algorithms to produce a reliable data model and system for implementing automatic data collection and analysis using computer programming languages for data sciences, such as Python, R, etc.
Demonstrate effectiveness and efficiency of operating and executing computer commandline interfaces and software applications for data organization, manipulation, and presentation, including implementations of security measures and ethical practices for collecting and storing data.
Communicate effectively orally and in writing with technical and non-technical stakeholders, including data collection process and summarization of results in the descriptive, numerical, and visual forms.
Appraise knowledge, skills, and abilities in information technology and data science of big data analytics applying to research and project beneficial to organizations, such as federal or national governments, state and local governments, nonprofits, and industries, in protecting digital resources and infrastructures.
Assess technical skills and knowledge to pursue various professional technology certifications globally recognizable in the industry, such as Dell Associate – Data Science Version 2.0 Certification, Dell Specialist – Data Scientist, Advanced Analytics Version 1.0 Certification, etc.
Understand the role of responsible citizenship in the legitimate use of technology and digital data
